@article {49730, title = {Genome-scale study reveals reduced metabolic adaptability in patients with non-alcoholic fatty liver disease.}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {2016}, pages = {8994}, abstract = {

Non-alcoholic fatty liver disease (NAFLD) is a major risk factor leading to chronic liver disease and type 2 diabetes. Here we chart liver metabolic activity and functionality in NAFLD by integrating global transcriptomic data, from human liver biopsies, and metabolic flux data, measured across the human splanchnic vascular bed, within a genome-scale model of human metabolism. We show that an increased amount of liver fat induces mitochondrial metabolism, lipolysis, glyceroneogenesis and a switch from lactate to glycerol as substrate for gluconeogenesis, indicating an intricate balance of exacerbated opposite metabolic processes in glycemic regulation. These changes were associated with reduced metabolic adaptability on a network level in the sense that liver fat accumulation puts increasing demands on the liver to adaptively regulate metabolic responses to maintain basic liver functions. We propose that failure to meet excessive metabolic challenges coupled with reduced metabolic adaptability may lead to a vicious pathogenic cycle leading to the co-morbidities of NAFLD.

}, issn = {2041-1723}, doi = {10.1038/ncomms9994}, author = {Hy{\"o}tyl{\"a}inen, Tuulia and Jerby, Livnat and Pet{\"a}j{\"a}, Elina M and Mattila, Ismo and J{\"a}ntti, Sirkku and Auvinen, Petri and Gastaldelli, Amalia and Yki-J{\"a}rvinen, Hannele and Ruppin, Eytan and Ore{\v s}i{\v c}, Matej} } @article {49813, title = {A joint analysis of transcriptomic and metabolomic data uncovers enhanced enzyme-metabolite coupling in breast cancer.}, journal = {Sci Rep}, volume = {6}, year = {2016}, month = {2016 Jul 13}, pages = {29662}, abstract = {

Disrupted regulation of cellular processes is considered one of the hallmarks of cancer. We analyze metabolomic and transcriptomic profiles jointly collected from breast cancer and hepatocellular carcinoma patients to explore the associations between the expression of metabolic enzymes and the levels of the metabolites participating in the reactions they catalyze. Surprisingly, both breast cancer and hepatocellular tumors exhibit an increase in their gene-metabolites associations compared to noncancerous adjacent tissues. Following, we build predictors of metabolite levels from the expression of the enzyme genes catalyzing them. Applying these predictors to a large cohort of breast cancer samples we find that depleted levels of key cancer-related metabolites including glucose, glycine, serine and acetate are significantly associated with improved patient survival. Thus, we show that the levels of a wide range of metabolites in breast cancer can be successfully predicted from the transcriptome, going beyond the limited set of those measured.

}, issn = {2045-2322}, doi = {10.1038/srep29662}, author = {Auslander, Noam and Yizhak, Keren and Weinstock, Adam and Budhu, Anuradha and Tang, Wei and Wang, Xin Wei and Ambs, Stefan and Ruppin, Eytan} } @article {49817, title = {Therapeutic relevance of the protein phosphatase 2A in cancer}, journal = {Oncotarget.com}, year = {2016}, month = {Jul-09-2017}, doi = {10.18632/oncotarget.11399}, url = {https://www.oncotarget.com/article/11399}, author = {Cunningham, Chelsea E. and Li, Shuangshuang and Vizeacoumar, Frederick S. and Bhanumathy, Kalpana Kalyanasundaram and Lee, Joo Sang and Parameswaran, Sreejit and Furber, Levi and Abuhussein, Omar and Paul, James M. and McDonald, Megan and Templeton, Shaina D. and Shukla, Hersh and El Zawily, Amr M. and Boyd, Frederick and Alli, Nezeka and Mousseau, Darrell D. and Geyer, Ron and Bonham, Keith and Anderson, Deborah H. and Yan, Jiong and Yu-Lee, Li-Yuan and Weaver, Beth A. and Uppalapati, Maruti and Ruppin, Eytan and Sablina, Anna and Freywald, Andrew and Vizeacoumar, Franco J.} } @article {49658, title = {Diversion of aspartate in ASS1-deficient tumours fosters de novo pyrimidine synthesis}, journal = {Nature}, volume = {527}, year = {2015}, month = {Nov-11-2015}, pages = {379 - 383}, issn = {0028-0836}, doi = {10.1038/nature15529}, url = {http://www.nature.com/doifinder/10.1038/nature15529}, author = {Rabinovich, Shiran and Adler, Lital and Yizhak, Keren and Sarver, Alona and Silberman, Alon and Agron, Shani and Stettner, Noa and Sun, Qin and Brandis, Alexander and Helbling, Daniel and Korman, Stanley and Itzkovitz, Shalev and Dimmock, David and Ulitsky, Igor and Nagamani, Sandesh C. S. and Ruppin, Eytan and Erez, Ayelet} } @article {49578, title = {The effects of telomere shortening on cancer cells: a network model of proteomic and microRNA analysis.}, volume = {105}, year = {2015}, month = {2015 Jan}, pages = {5-16}, abstract = {

Previously, we have shown that shortening of telomeres by telomerase inhibition sensitized cancer cells to cisplatinum, slowed their migration, increased DNA damage and impaired DNA repair. The mechanism behind these effects is not fully characterized. Its clarification could facilitate novel therapeutics development and may obviate the time consuming process of telomere shortening achieved by telomerase inhibition. Here we aimed to decipher the microRNA and proteomic profiling of cancer cells with shortened telomeres and identify the key mediators in telomere shortening-induced damage to those cells. Of 870 identified proteins, 98 were differentially expressed in shortened-telomere cells. 47 microRNAs were differentially expressed in these cells; some are implicated in growth arrest or act as oncogene repressors. The obtained data was used for a network construction, which provided us with nodal candidates that may mediate the shortened-telomere dependent features. These proteins{\textquoteright} expression was experimentally validated, supporting their potential central role in this system.

}, keywords = {Gene Expression Regulation, Neoplastic, Gene Regulatory Networks, HUMANS, MicroRNAs, Neoplasms, Oligonucleotides, Proteome, proteomics, Telomere Shortening, Tumor Cells, Cultured}, issn = {1089-8646}, doi = {10.1016/j.ygeno.2014.10.013}, author = {Uziel, O and Yosef, N and Sharan, R and Ruppin, E and Kupiec, M and Kushnir, M and Beery, E and Cohen-Diker, T and Nordenberg, J and Lahav, M} } @article {49571, title = {Insights from GWAS: emerging landscape of mechanisms underlying complex trait disease.}, volume = {16 Suppl 8}, year = {2015}, month = {2015}, pages = {S4}, abstract = {

BACKGROUND: There are now over 2000 loci in the human genome where genome wide association studies (GWAS) have found one or more SNPs to be associated with altered risk of a complex trait disease. At each of these loci, there must be some molecular level mechanism relevant to the disease. What are these mechanisms and how do they contribute to disease?

RESULTS: Here we consider the roles of three primary mechanism classes: changes that directly alter protein function (missense SNPs), changes that alter transcript abundance as a consequence of variants close-by in sequence, and changes that affect splicing. Missense SNPs are divided into those predicted to have a high impact on in vivo protein function, and those with a low impact. Splicing is divided into SNPs with a direct impact on splice sites, and those with a predicted effect on auxiliary splicing signals. The analysis was based on associations found for seven complex trait diseases in the classic Wellcome Trust Case Control Consortium (WTCCC1) GWA study and subsequent studies and meta-analyses, collected from the GWAS catalog. Linkage disequilibrium information was used to identify possible candidate SNPs for involvement in disease mechanism in each of the 356 loci associated with these seven diseases. With the parameters used, we find that 76\% of loci have at least of these mechanisms. Overall, except for the low incidence of direct impact on splice sites, the mechanisms are found at similar frequencies, with changes in transcript abundance the most common. But the distribution of mechanisms over diseases varies markedly, as does the fraction of loci with assigned mechanisms. Many of the implicated proteins have previously been suggested as relevant, but the specific mechanism assignments are new. In addition, a number of new disease relevant proteins are proposed.

CONCLUSIONS: The high fraction of GWAS loci with proposed mechanisms suggests that these classes of mechanism play a major role. Other mechanism types, such as variants affecting expression of genes remote in the DNA sequence, will contribute in other loci. Each of the identified putative mechanisms provides a hypothesis for further investigation.

}, issn = {1471-2164}, doi = {10.1186/1471-2164-16-S8-S4}, author = {Pal, Lipika R and Yu, Chen-Hsin and Mount, Stephen M and Moult, John} } @article {49573, title = {Modeling cancer metabolism on a genome scale}, volume = {11}, year = {2015}, month = {Jan-06-2015}, pages = {817 - 817}, doi = {10.15252/msb.20145307}, url = {http://msb.embopress.org/cgi/doi/10.15252/msb.20145307}, author = {Yizhak, K. and Chaneton, B. and Gottlieb, E. and Ruppin, E.} } @article {49511, title = {A molecular phylogeny for the oldest (nonditrysian) lineages of extant Lepidoptera, with implications for classification, comparative morphology and life-history evolution}, journal = {Systematic Entomology}, year = {2015}, month = {05/2015}, pages = {n/a - n/a}, doi = {10.1111/syen.12129}, author = {Regier, Jerome C and Mitter, Charles and KRISTENSEN, NIELS P. and Davis, Donald R. and VAN NIEUKERKEN, ERIK J. and ROTA, JADRANKA and Simonsen, Thomas J. and Mitter, Kim T. and Kawahara, Akito Y. and Yen, Shen-Horn and Michael P. Cummings and Zwick, Andreas} } @article {49599, title = {BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution.}, volume = {30}, year = {2014}, month = {2014 May 1}, pages = {1214-9}, abstract = {

MOTIVATION: Base-calling of sequencing data produced by high-throughput sequencing platforms is a fundamental process in current bioinformatics analysis. However, existing third-party probabilistic or machine-learning methods that significantly improve the accuracy of base-calls on these platforms are impractical for production use due to their computational inefficiency.

RESULTS: We directly formulate base-calling as a blind deconvolution problem and implemented BlindCall as an efficient solver to this inverse problem. BlindCall produced base-calls at accuracy comparable to state-of-the-art probabilistic methods while processing data at rates 10 times faster in most cases. The computational complexity of BlindCall scales linearly with read length making it better suited for new long-read sequencing technologies.

}, keywords = {algorithms, High-Throughput Nucleotide Sequencing, HUMANS, Probability, Reproducibility of Results, Sequence Analysis, DNA, software, Time factors}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btu010}, author = {Ye, Chengxi and Hsiao, Chiaowen and Corrada Bravo, Hector} } @article {49725, title = {A computational study of the Warburg effect identifies metabolic targets inhibiting cancer migration.}, journal = {Mol Syst Biol}, volume = {10}, year = {2014}, month = {2014}, pages = {744}, abstract = {

Over the last decade, the field of cancer metabolism has mainly focused on studying the role of tumorigenic metabolic rewiring in supporting cancer proliferation. Here, we perform the first genome-scale computational study of the metabolic underpinnings of cancer migration. We build genome-scale metabolic models of the NCI-60 cell lines that capture the Warburg effect (aerobic glycolysis) typically occurring in cancer cells. The extent of the Warburg effect in each of these cell line models is quantified by the ratio of glycolytic to oxidative ATP flux (AFR), which is found to be highly positively associated with cancer cell migration. We hence predicted that targeting genes that mitigate the Warburg effect by reducing the AFR may specifically inhibit cancer migration. By testing the anti-migratory effects of silencing such 17 top predicted genes in four breast and lung cancer cell lines, we find that up to 13 of these novel predictions significantly attenuate cell migration either in all or one cell line only, while having almost no effect on cell proliferation. Furthermore, in accordance with the predictions, a significant reduction is observed in the ratio between experimentally measured ECAR and OCR levels following these perturbations. Inhibiting anti-migratory targets is a promising future avenue in treating cancer since it may decrease cytotoxic-related side effects that plague current anti-proliferative treatments. Furthermore, it may reduce cytotoxic-related clonal selection of more aggressive cancer cells and the likelihood of emerging resistance.

}, issn = {1744-4292}, doi = {10.15252/msb.20145746}, author = {Yizhak, Keren and Le D{\'e}v{\'e}dec, Sylvia E and Rogkoti, Vasiliki Maria and Baenke, Franziska and de Boer, Vincent C and Frezza, Christian and Schulze, Almut and van de Water, Bob and Ruppin, Eytan} } @article {49595, title = {Developmental expression of chicken FOXN1 and putative target genes during feather development.}, volume = {58}, year = {2014}, month = {2014}, pages = {57-64}, abstract = {

FOXN1 is a member of the forkhead box family of transcription factors. FOXN1 is crucial for hair outgrowth and thymus differentiation in mammals. Unlike the thymus, which is found in all amniotes, hair is an epidermal appendage that arose after the last shared common ancestor between mammals and birds, and hair and feathers differ markedly in their differentiation and gene expression. Here, we show that FOXN1 is expressed in embryonic chicken feathers, nails and thymus, demonstrating an evolutionary conservation that goes beyond obvious homology. At embryonic day (ED) 12, FOXN1 is expressed in some feather buds and at ED13 expression extends along the length of the feather filament. At ED14 FOXN1 mRNA is restricted to the proximal feather filament and is not detectable in distal feather shafts. At the base of the feather, FOXN1 is expressed in the epithelium of the feather sheath and distal barb and marginal plate, whereas in the midsection FOXN1 transcripts are mainly detected in the barb plates of the feather filament. FOXN1 is also expressed in claws; however, no expression was detected in skin or scales. Despite expression of FOXN1 in developing feathers, examination of chick homologs of five putative mammalian FOXN1 target genes shows that, while these genes are expressed in feathers, there is little similarity to the FOXN1 expression pattern, suggesting that some gene regulatory networks may have diverged during evolution of epidermal appendages.

}, keywords = {Amino Acid Sequence, Animals, Biological Evolution, Blotting, Western, Cell Differentiation, Cells, Cultured, Chick Embryo, Chickens, Cloning, Molecular, Embryo, Nonmammalian, Epidermis, Feathers, Forkhead Transcription Factors, Gene Expression Regulation, Developmental, In Situ Hybridization, Molecular Sequence Data, Morphogenesis, Phylogeny, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, RNA, Messenger, Sequence Homology, Amino Acid}, issn = {1696-3547}, doi = {10.1387/ijdb.130023sy}, author = {Darnell, Diana K and Zhang, Li S and Hannenhalli, Sridhar and Yaklichkin, Sergey Y} } @article {49581, title = {Integrating Transcriptomics with Metabolic Modeling Predicts Biomarkers and Drug Targets for Alzheimer{\textquoteright}s Disease}, volume = {9}, year = {2014}, month = {Mar-08-2015}, pages = {e105383}, doi = {10.1371/journal.pone.0105383}, url = {http://www.cs.tau.ac.il/~ruppin/ad_plos1.pdf}, author = {Stempler, Shiri and Yizhak, Keren and Ruppin, Eytan}, editor = {Fong, Stephen S.} } @article {49588, title = {Maximal Sum of Metabolic Exchange Fluxes Outperforms Biomass Yield as a Predictor of Growth Rate of Microorganisms}, volume = {9}, year = {2014}, month = {Mar-05-2016}, pages = {e98372}, doi = {10.1371/journal.pone.0098372}, url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098372}, author = {Zarecki, Raphy and Oberhardt, Matthew A. and Yizhak, Keren and Wagner, Allon and Shtifman Segal, Ella and Freilich, Shiri and Henry, Christopher S. and Gophna, Uri and Ruppin, Eytan}, editor = {Fong, Stephen S.} } @article {49724, title = {Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer.}, journal = {Elife}, volume = {3}, year = {2014}, month = {2014}, abstract = {

Utilizing molecular data to derive functional physiological models tailored for specific cancer cells can facilitate the use of individually tailored therapies. To this end we present an approach termed PRIME for generating cell-specific genome-scale metabolic models (GSMMs) based on molecular and phenotypic data. We build >280 models of normal and cancer cell-lines that successfully predict metabolic phenotypes in an individual manner. We utilize this set of cell-specific models to predict drug targets that selectively inhibit cancerous but not normal cell proliferation. The top predicted target, MLYCD, is experimentally validated and the metabolic effects of MLYCD depletion investigated. Furthermore, we tested cell-specific predicted responses to the inhibition of metabolic enzymes, and successfully inferred the prognosis of cancer patients based on their PRIME-derived individual GSMMs. These results lay a computational basis and a counterpart experimental proof of concept for future personalized metabolic modeling applications, enhancing the search for novel selective anticancer therapies.

}, keywords = {algorithms, Antineoplastic Agents, Biomarkers, Tumor, Carboxy-Lyases, Cell Line, Tumor, Cell Proliferation, Citric Acid Cycle, Fatty Acids, Gene Knockdown Techniques, Genome, Human, HUMANS, Lymphocytes, Models, Biological, Neoplasms, Oxidation-Reduction, PHENOTYPE, Precision Medicine}, issn = {2050-084X}, doi = {10.7554/eLife.03641}, author = {Yizhak, Keren and Gaude, Edoardo and Le D{\'e}v{\'e}dec, Sylvia and Waldman, Yedael Y and Stein, Gideon Y and van de Water, Bob and Frezza, Christian and Ruppin, Eytan} } @article {38509, title = {Somatic alterations contributing to metastasis of a castration-resistant prostate cancer}, journal = {Human mutationHuman mutation}, volume = {34}, year = {2013}, note = {http://www.ncbi.nlm.nih.gov/pubmed/23636849?dopt=Abstract}, type = {10.1002/humu.22346}, abstract = {Metastatic castration-resistant prostate cancer (mCRPC) is a lethal disease, and molecular markers that differentiate indolent from aggressive subtypes are needed. We sequenced the exomes of five metastatic tumors and healthy kidney tissue from an index case with mCRPC to identify lesions associated with disease progression and metastasis. An Ashkenazi Jewish (AJ) germline founder mutation, del185AG in BRCA1, was observed and AJ ancestry was confirmed. Sixty-two somatic variants altered proteins in tumors, including cancer-associated genes, TMPRSS2-ERG, PBRM1, and TET2. The majority (n = 53) of somatic variants were present in all metastases and only a subset (n = 31) was observed in the primary tumor. Integrating tumor next-generation sequencing and DNA copy number showed somatic loss of BRCA1 and TMPRSS2-ERG. We sequenced 19 genes with deleterious mutations in the index case in additional mCRPC samples and detected a frameshift, two somatic missense alterations, tumor loss of heterozygosity, and combinations of germline missense SNPs in TET2. In summary, genetic analysis of metastases from an index case permitted us to infer a chronology for the clonal spread of disease based on sequential accrual of somatic lesions. The role of TET2 in mCRPC deserves additional analysis and may define a subset of metastatic disease.}, author = {Nickerson, Michael L. and Im, Kate M. and Misner, Kevin J. and Tan, Wei and Lou, Hong and Gold, Bert and Wells, David W. and H{\'e}ctor Corrada Bravo and Fredrikson, Karin M. and Harkins, Timothy T. and Milos, Patrice and Zbar, Berton and Linehan, W. Marston and Yeager, Meredith and Andresson, Thorkell and Dean, Michael and Bova, G. Steven} } @article {38251, title = {Exploiting sparseness in de novo genome assembly}, journal = {BMC bioinformaticsBMC Bioinformatics}, volume = {13}, year = {2012}, publisher = {BioMed Central Ltd}, author = {Chengxi Ye and Ma, Z. S. and Cannon, C. H. and M. Pop and Yu, D. W.} } @article {49774, title = {Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage.}, journal = {ISME J}, volume = {6}, year = {2012}, month = {2012 Jun}, pages = {1186-99}, abstract = {

Bacteria in the 16S rRNA clade SAR86 are among the most abundant uncultivated constituents of microbial assemblages in the surface ocean for which little genomic information is currently available. Bioinformatic techniques were used to assemble two nearly complete genomes from marine metagenomes and single-cell sequencing provided two more partial genomes. Recruitment of metagenomic data shows that these SAR86 genomes substantially increase our knowledge of non-photosynthetic bacteria in the surface ocean. Phylogenomic analyses establish SAR86 as a basal and divergent lineage of γ-proteobacteria, and the individual genomes display a temperature-dependent distribution. Modestly sized at 1.25-1.7 Mbp, the SAR86 genomes lack several pathways for amino-acid and vitamin synthesis as well as sulfate reduction, trends commonly observed in other abundant marine microbes. SAR86 appears to be an aerobic chemoheterotroph with the potential for proteorhodopsin-based ATP generation, though the apparent lack of a retinal biosynthesis pathway may require it to scavenge exogenously-derived pigments to utilize proteorhodopsin. The genomes contain an expanded capacity for the degradation of lipids and carbohydrates acquired using a wealth of tonB-dependent outer membrane receptors. Like the abundant planktonic marine bacterial clade SAR11, SAR86 exhibits metabolic streamlining, but also a distinct carbon compound specialization, possibly avoiding competition.

}, keywords = {Computational Biology, Gammaproteobacteria, Genome, Bacterial, Genomic Library, metagenomics, Oceans and Seas, Phylogeny, plankton, Rhodopsin, Rhodopsins, Microbial, RNA, Ribosomal, 16S, Seawater}, issn = {1751-7370}, doi = {10.1038/ismej.2011.189}, author = {Dupont, Chris L and Rusch, Douglas B and Yooseph, Shibu and Lombardo, Mary-Jane and Richter, R Alexander and Valas, Ruben and Novotny, Mark and Yee-Greenbaum, Joyclyn and Selengut, Jeremy D and Haft, Dan H and Halpern, Aaron L and Lasken, Roger S and Nealson, Kenneth and Friedman, Robert and Venter, J Craig} } @article {38316, title = {Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage}, journal = {The ISME journalThe ISME journal}, volume = {6}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/22170421?dopt=Abstract}, type = {10.1038/ismej.2011.189}, abstract = {Bacteria in the 16S rRNA clade SAR86 are among the most abundant uncultivated constituents of microbial assemblages in the surface ocean for which little genomic information is currently available. Bioinformatic techniques were used to assemble two nearly complete genomes from marine metagenomes and single-cell sequencing provided two more partial genomes. Recruitment of metagenomic data shows that these SAR86 genomes substantially increase our knowledge of non-photosynthetic bacteria in the surface ocean. Phylogenomic analyses establish SAR86 as a basal and divergent lineage of γ-proteobacteria, and the individual genomes display a temperature-dependent distribution. Modestly sized at 1.25-1.7 Mbp, the SAR86 genomes lack several pathways for amino-acid and vitamin synthesis as well as sulfate reduction, trends commonly observed in other abundant marine microbes. SAR86 appears to be an aerobic chemoheterotroph with the potential for proteorhodopsin-based ATP generation, though the apparent lack of a retinal biosynthesis pathway may require it to scavenge exogenously-derived pigments to utilize proteorhodopsin. The genomes contain an expanded capacity for the degradation of lipids and carbohydrates acquired using a wealth of tonB-dependent outer membrane receptors. Like the abundant planktonic marine bacterial clade SAR11, SAR86 exhibits metabolic streamlining, but also a distinct carbon compound specialization, possibly avoiding competition.}, keywords = {Computational Biology, Gammaproteobacteria, Genome, Bacterial, Genomic Library, metagenomics, Oceans and Seas, Phylogeny, plankton, Rhodopsin, RNA, Ribosomal, 16S, Seawater}, author = {Dupont, Chris L. and Rusch, Douglas B. and Yooseph, Shibu and Lombardo, Mary-Jane and Richter, R. Alexander and Valas, Ruben and Novotny, Mark and Yee-Greenbaum, Joyclyn and J. Selengut and Haft, Dan H. and Halpern, Aaron L. and Lasken, Roger S. and Nealson, Kenneth and Friedman, Robert and Venter, J. Craig} } @article {38352, title = {InterPro in 2011: new developments in the family and domain prediction database}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {40}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/22096229?dopt=Abstract}, type = {10.1093/nar/gkr948}, abstract = {InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.}, keywords = {Databases, Protein, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, software, Terminology as Topic, User-Computer Interface}, author = {Hunter, Sarah and Jones, Philip and Mitchell, Alex and Apweiler, Rolf and Attwood, Teresa K. and Bateman, Alex and Bernard, Thomas and Binns, David and Bork, Peer and Burge, Sarah and de Castro, Edouard and Coggill, Penny and Corbett, Matthew and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D. and Fraser, Matthew and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and McMenamin, Conor and Mi, Huaiyu and Mutowo-Muellenet, Prudence and Mulder, Nicola and Natale, Darren and Orengo, Christine and Pesseat, Sebastien and Punta, Marco and Quinn, Antony F. and Rivoire, Catherine and Sangrador-Vegas, Amaia and J. Selengut and Sigrist, Christian J. A. and Scheremetjew, Maxim and Tate, John and Thimmajanarthanan, Manjulapramila and Thomas, Paul D. and Wu, Cathy H. and Yeats, Corin and Yong, Siew-Yit} } @article {49765, title = {InterPro in 2011: new developments in the family and domain prediction database.}, journal = {Nucleic Acids Res}, volume = {40}, year = {2012}, month = {2012 Jan}, pages = {D306-12}, abstract = {

InterPro (http://www.ebi.ac.uk/interpro/) is a database that integrates diverse information about protein families, domains and functional sites, and makes it freely available to the public via Web-based interfaces and services. Central to the database are diagnostic models, known as signatures, against which protein sequences can be searched to determine their potential function. InterPro has utility in the large-scale analysis of whole genomes and meta-genomes, as well as in characterizing individual protein sequences. Herein we give an overview of new developments in the database and its associated software since 2009, including updates to database content, curation processes and Web and programmatic interfaces.

}, keywords = {Databases, Protein, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, software, Terminology as Topic, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkr948}, author = {Hunter, Sarah and Jones, Philip and Mitchell, Alex and Apweiler, Rolf and Attwood, Teresa K and Bateman, Alex and Bernard, Thomas and Binns, David and Bork, Peer and Burge, Sarah and de Castro, Edouard and Coggill, Penny and Corbett, Matthew and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D and Fraser, Matthew and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and McMenamin, Conor and Mi, Huaiyu and Mutowo-Muellenet, Prudence and Mulder, Nicola and Natale, Darren and Orengo, Christine and Pesseat, Sebastien and Punta, Marco and Quinn, Antony F and Rivoire, Catherine and Sangrador-Vegas, Amaia and Selengut, Jeremy D and Sigrist, Christian J A and Scheremetjew, Maxim and Tate, John and Thimmajanarthanan, Manjulapramila and Thomas, Paul D and Wu, Cathy H and Yeats, Corin and Yong, Siew-Yit} } @article {49515, title = {A molecular phylogeny for the pyraloid moths (Lepidoptera: Pyraloidea) and its implications for higher-level classification}, journal = {Systematic Entomology}, volume = {37}, year = {2012}, month = {Jan-10-2012}, pages = {635 - 656}, doi = {10.1111/sen.2012.37.issue-410.1111/j.1365-3113.2012.00641.x}, url = {http://doi.wiley.com/10.1111/sen.2012.37.issue-4http://doi.wiley.com/10.1111/j.1365-3113.2012.00641.x}, author = {Regier, Jerome C. and Mitter, Charles and SOLIS, M. ALMA and HAYDEN, JAMES E. and LANDRY, BERNARD and NUSS, MATTHIAS and Simonsen, Thomas J. and Yen, Shen-Horn and Zwick, Andreas and Michael P. Cummings} } @article {49531, title = {Plasmodium falciparum merozoite surface protein 1 blocks the proinflammatory protein S100P.}, volume = {109}, year = {2012}, month = {2012 Apr 3}, pages = {5429-34}, abstract = {

The malaria parasite, Plasmodium falciparum, and the human immune system have coevolved to ensure that the parasite is not eliminated and reinfection is not resisted. This relationship is likely mediated through a myriad of host-parasite interactions, although surprisingly few such interactions have been identified. Here we show that the 33-kDa fragment of P. falciparum merozoite surface protein 1 (MSP1(33)), an abundant protein that is shed during red blood cell invasion, binds to the proinflammatory protein, S100P. MSP1(33) blocks S100P-induced NFκB activation in monocytes and chemotaxis in neutrophils. Remarkably, S100P binds to both dimorphic alleles of MSP1, estimated to have diverged >27 Mya, suggesting an ancient, conserved relationship between these parasite and host proteins that may serve to attenuate potentially damaging inflammatory responses.

}, keywords = {Amino Acid Sequence, Animals, Calcium-Binding Proteins, Chromatography, Gel, Electrophoresis, Polyacrylamide Gel, Enzyme-Linked Immunosorbent Assay, HUMANS, Merozoite Surface Protein 1, Microscopy, Confocal, Molecular Sequence Data, Neoplasm Proteins, Plasmodium falciparum, Sequence Homology, Amino Acid, Surface Plasmon Resonance}, issn = {1091-6490}, doi = {10.1073/pnas.1202689109}, author = {Waisberg, Michael and Cerqueira, Gustavo C and Yager, Stephanie B and Francischetti, Ivo M B and Lu, Jinghua and Gera, Nidhi and Srinivasan, Prakash and Miura, Kazutoyo and Rada, Balazs and Lukszo, Jan and Barbian, Kent D and Leto, Thomas L and Porcella, Stephen F and Narum, David L and El-Sayed, Najib and Miller, Louis H and Pierce, Susan K} } @article {38471, title = {Role of Shrimp Chitin in the Ecology of Toxigenic Vibrio cholerae and Cholera Transmission}, journal = {Frontiers in MicrobiologyFront MicrobiolFrontiers in MicrobiologyFront Microbiol}, volume = {2}, year = {2012}, type = {10.3389/fmicb.2011.00260}, abstract = {Seasonal plankton blooms correlate with occurrence of cholera in Bangladesh, although the mechanism of how dormant Vibrio cholerae, enduring interepidemic period in biofilms and plankton, initiates seasonal cholera is not fully understood. In this study, laboratory microcosms prepared with estuarine Mathbaria water (MW) samples supported active growth of toxigenic V. cholerae O1 up to 7 weeks as opposed to 6 months when microcosms were supplemented with dehydrated shrimp chitin chips (CC) as the single source of nutrient. Bacterial counting and detection of wbe and ctxA genes were done employing culture, direct fluorescent antibody (DFA) assay, and multiplex-polymerase chain reaction methods. In MW microcosm, the aqueous phase became clear as the non-culturable cells settled, whereas the aqueous phase of the MW{\textendash}CC microcosm became turbid from bacterial growth stimulated by chitin. Bacterial chitin degradation and biofilm formation proceeded from an initial steady state to a gradually declining bacterial culturable count. V. cholerae within the microenvironments of chitin and chitin-associated biofilms remained metabolically active even in a high acidic environment without losing either viability or virulence. It is concluded that the abundance of chitin that occurs during blooms plays an important role in the aquatic life cycle of V. cholerae and, ultimately, in the seasonal transmission of cholera.}, isbn = {1664-302X}, author = {Nahar, Shamsun and Sultana, Marzia and Naser, M. Niamul and Nair, Gopinath B. and Watanabe, Haruo and Ohnishi, Makoto and Yamamoto, Shouji and Endtz, Hubert and Cravioto, Alejandro and Sack, R. Bradley and Hasan, Nur A. and Sadique, Abdus and Huq, Anwar and Rita R. Colwell and Alam, Munirul} } @article {38101, title = {Accelerated evolution of 3{\textquoteright}avian FOXE1 genes, and thyroid and feather specific expression of chicken FoxE1}, journal = {BMC Evolutionary BiologyBMC Evolutionary Biology}, volume = {11}, year = {2011}, type = {10.1186/1471-2148-11-302}, abstract = {The forkhead transcription factor gene E1 (FOXE1) plays an important role in regulation of thyroid development, palate formation and hair morphogenesis in mammals. However, avian FOXE1 genes have not been characterized and as such, codon evolution of FOXE1 orthologs in a broader evolutionary context of mammals and birds is not known.}, isbn = {1471-2148}, author = {Yaklichkin, Sergey Yu and Darnell, Diana K. and Pier, Maricela V. and Antin, Parker B. and Sridhar Hannenhalli} } @article {38141, title = {Can Deliberately Incomplete Gene Sample Augmentation Improve a Phylogeny Estimate for the Advanced Moths and Butterflies (Hexapoda: Lepidoptera)?}, journal = {Systematic BiologySyst BiolSystematic BiologySyst Biol}, volume = {60}, year = {2011}, type = {10.1093/sysbio/syr079}, abstract = {This paper addresses the question of whether one can economically improve the robustness of a molecular phylogeny estimate by increasing gene sampling in only a subset of taxa, without having the analysis invalidated by artifacts arising from large blocks of missing data. Our case study stems from an ongoing effort to resolve poorly understood deeper relationships in the large clade Ditrysia ( > 150,000 species) of the insect order Lepidoptera (butterflies and moths). Seeking to remedy the overall weak support for deeper divergences in an initial study based on five nuclear genes (6.6 kb) in 123 exemplars, we nearly tripled the total gene sample (to 26 genes, 18.4 kb) but only in a third (41) of the taxa. The resulting partially augmented data matrix (45\% intentionally missing data) consistently increased bootstrap support for groupings previously identified in the five-gene (nearly) complete matrix, while introducing no contradictory groupings of the kind that missing data have been predicted to produce. Our results add to growing evidence that data sets differing substantially in gene and taxon sampling can often be safely and profitably combined. The strongest overall support for nodes above the family level came from including all nucleotide changes, while partitioning sites into sets undergoing mostly nonsynonymous versus mostly synonymous change. In contrast, support for the deepest node for which any persuasive molecular evidence has yet emerged (78{\textendash}85\% bootstrap) was weak or nonexistent unless synonymous change was entirely excluded, a result plausibly attributed to compositional heterogeneity. This node (Gelechioidea + Apoditrysia), tentatively proposed by previous authors on the basis of four morphological synapomorphies, is the first major subset of ditrysian superfamilies to receive strong statistical support in any phylogenetic study. A {\textquotedblleft}more-genes-only{\textquotedblright} data set (41 taxa{\texttimes}26 genes) also gave strong signal for a second deep grouping (Macrolepidoptera) that was obscured, but not strongly contradicted, in more taxon-rich analyses.}, keywords = {Ditrysia, gene sampling, Hexapoda, Lepidoptera, missing data, molecular phylogenetics, nuclear genes, taxon sampling}, isbn = {1063-5157, 1076-836X}, author = {Cho, Soowon and Zwick, Andreas and Regier, Jerome C. and Mitter, Charles and Michael P. Cummings and Yao, Jianxiu and Du, Zaile and Zhao, Hong and Kawahara, Akito Y. and Weller, Susan and Davis, Donald R. and Baixeras, Joaquin and Brown, John W. and Parr, Cynthia} } @article {38347, title = {Influence of host gene transcription level and orientation on HIV-1 latency in a primary-cell model}, journal = {Journal of virologyJournal of virology}, volume = {85}, year = {2011}, note = {http://www.ncbi.nlm.nih.gov/pubmed/21430059?dopt=Abstract}, type = {10.1128/JVI.02536-10}, abstract = {Human immunodeficiency virus type 1 (HIV-1) establishes a latent reservoir in resting memory CD4(+) T cells. This latent reservoir is a major barrier to the eradication of HIV-1 in infected individuals and is not affected by highly active antiretroviral therapy (HAART). Reactivation of latent HIV-1 is a possible strategy for elimination of this reservoir. The mechanisms with which latency is maintained are unclear. In the analysis of the regulation of HIV-1 gene expression, it is important to consider the nature of HIV-1 integration sites. In this study, we analyzed the integration and transcription of latent HIV-1 in a primary CD4(+) T cell model of latency. The majority of integration sites in latently infected cells were in introns of transcription units. Serial analysis of gene expression (SAGE) demonstrated that more than 90\% of those host genes harboring a latent integrated provirus were transcriptionally active, mostly at high levels. For latently infected cells, we observed a modest preference for integration in the same transcriptional orientation as the host gene (63.8\% versus 36.2\%). In contrast, this orientation preference was not observed in acutely infected or persistently infected cells. These results suggest that transcriptional interference may be one of the important factors in the establishment and maintenance of HIV-1 latency. Our findings suggest that disrupting the negative control of HIV-1 transcription by upstream host promoters could facilitate the reactivation of latent HIV-1 in some resting CD4(+) T cells.}, keywords = {CD4-Positive T-Lymphocytes, Cells, Cultured, Gene Expression Profiling, Gene Expression Regulation, Viral, HIV-1, HUMANS, Transcription, Genetic, Virus Integration, Virus Latency}, author = {Shan, Liang and Yang, Hung-Chih and Rabi, S. Alireza and H{\'e}ctor Corrada Bravo and Shroff, Neeta S. and Irizarry, Rafael A. and Zhang, Hao and Margolick, Joseph B. and Siliciano, Janet D. and Siliciano, Robert F.} } @article {49832, title = {Influence of Host Gene Transcription Level and Orientation on HIV-1 Latency in a Primary-Cell Model}, journal = {Journal of Virology}, volume = {85}, year = {2011}, month = {Jan-06-2011}, pages = {5384 - 5393}, issn = {0022-538X}, doi = {10.1128/JVI.02536-10}, url = {http://jvi.asm.org/cgi/doi/10.1128/JVI.02536-10https://syndication.highwire.org/content/doi/10.1128/JVI.02536-10}, author = {Shan, L. and Yang, H.-C. and Rabi, S. A. and Bravo, H. C. and Shroff, N. S. and Irizarry, R. A. and Zhang, H. and Margolick, J. B. and Siliciano, J. D. and Siliciano, R. F.} } @article {49645, title = {Assessing Student Understanding of Host Pathogen Interactions Using a Concept Inventory}, journal = {J. Microbiol. Biol. Ed.}, volume = {10}, year = {2009}, pages = {43-50}, author = {Marbach-Ad, G. and Briken, V. and El-Sayed, N.M. and Frauwirth, K. and Fredericksen, B. and Hutcheson, S. and Gao, L.-Y. and Joseph, S. and Lee, V. and McIver, K.S. and Mosser, D. and Quimby, B.B. and Shields, P. and Song, W. and Stein, D.C. and Yuan, R.T. and Smith, A.C.} } @article {49781, title = {InterPro: the integrative protein signature database.}, journal = {Nucleic Acids Res}, volume = {37}, year = {2009}, month = {2009 Jan}, pages = {D211-5}, abstract = {

The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).

}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, issn = {1362-4962}, doi = {10.1093/nar/gkn785}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F and Selengut, Jeremy D and Sigrist, Christian J A and Thimma, Manjula and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38353, title = {InterPro: the integrative protein signature database}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {37}, year = {2009}, note = {http://www.ncbi.nlm.nih.gov/pubmed/18940856?dopt=Abstract}, type = {10.1093/nar/gkn785}, abstract = {The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K. and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D. and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F. and J. Selengut and Sigrist, Christian J. A. and Thimma, Manjula and Thomas, Paul D. and Valentin, Franck and Wilson, Derek and Wu, Cathy H. and Yeats, Corin} } @article {38404, title = {New records of phytoplankton for Bangladesh. 9. Some rare and a new species}, journal = {Bangladesh Journal of Plant TaxonomyBangladesh Journal of Plant Taxonomy}, volume = {16}, year = {2009}, type = {10.3329/bjpt.v16i1.2734}, abstract = {Ten taxa belonging to Chlorophyceae, Cyanophyceae, Bacillariophyceae and Euglenophyceae, and one with an uncertain taxonomic position have been described in this paper. Of these, 10 taxa have been found to be globally rare and new records for Bangladesh, whereas Strombomonas islamii Khondker sp. nov. has been described as new to science.}, isbn = {1028-2092}, author = {Khondker, Moniruzzaman and Bhuiyan, Rauf Ahmed and Yeasmin, Jenat and Alam, Munirul and Sack, R. Bradley and Huq, Anwar and Rita R. Colwell} } @article {38528, title = {Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils}, journal = {Applied and environmental microbiologyApplied and environmental microbiology}, volume = {75}, year = {2009}, note = {http://www.ncbi.nlm.nih.gov/pubmed/19201974?dopt=Abstract}, type = {10.1128/AEM.02294-08}, abstract = {The complete genomes of three strains from the phylum Acidobacteria were compared. Phylogenetic analysis placed them as a unique phylum. They share genomic traits with members of the Proteobacteria, the Cyanobacteria, and the Fungi. The three strains appear to be versatile heterotrophs. Genomic and culture traits indicate the use of carbon sources that span simple sugars to more complex substrates such as hemicellulose, cellulose, and chitin. The genomes encode low-specificity major facilitator superfamily transporters and high-affinity ABC transporters for sugars, suggesting that they are best suited to low-nutrient conditions. They appear capable of nitrate and nitrite reduction but not N(2) fixation or denitrification. The genomes contained numerous genes that encode siderophore receptors, but no evidence of siderophore production was found, suggesting that they may obtain iron via interaction with other microorganisms. The presence of cellulose synthesis genes and a large class of novel high-molecular-weight excreted proteins suggests potential traits for desiccation resistance, biofilm formation, and/or contribution to soil structure. Polyketide synthase and macrolide glycosylation genes suggest the production of novel antimicrobial compounds. Genes that encode a variety of novel proteins were also identified. The abundance of acidobacteria in soils worldwide and the breadth of potential carbon use by the sequenced strains suggest significant and previously unrecognized contributions to the terrestrial carbon cycle. Combining our genomic evidence with available culture traits, we postulate that cells of these isolates are long-lived, divide slowly, exhibit slow metabolic rates under low-nutrient conditions, and are well equipped to tolerate fluctuations in soil hydration.}, keywords = {Anti-Bacterial Agents, bacteria, Biological Transport, Carbohydrate Metabolism, Cyanobacteria, DNA, Bacterial, Fungi, Genome, Bacterial, Macrolides, Molecular Sequence Data, Nitrogen, Phylogeny, Proteobacteria, Sequence Analysis, DNA, Sequence Homology, Soil Microbiology}, author = {Ward, Naomi L. and Challacombe, Jean F. and Janssen, Peter H. and Henrissat, Bernard and Coutinho, Pedro M. and Wu, Martin and Xie, Gary and Haft, Daniel H. and Sait, Michelle and Badger, Jonathan and Barabote, Ravi D. and Bradley, Brent and Brettin, Thomas S. and Brinkac, Lauren M. and Bruce, David and Creasy, Todd and Daugherty, Sean C. and Davidsen, Tanja M. and DeBoy, Robert T. and Detter, J. Chris and Dodson, Robert J. and Durkin, A. Scott and Ganapathy, Anuradha and Gwinn-Giglio, Michelle and Han, Cliff S. and Khouri, Hoda and Kiss, Hajnalka and Kothari, Sagar P. and Madupu, Ramana and Nelson, Karen E. and Nelson, William C. and Paulsen, Ian and Penn, Kevin and Ren, Qinghu and Rosovitz, M. J. and J. Selengut and Shrivastava, Susmita and Sullivan, Steven A. and Tapia, Roxanne and Thompson, L. Sue and Watkins, Kisha L. and Yang, Qi and Yu, Chunhui and Zafar, Nikhat and Zhou, Liwei and Kuske, Cheryl R.} } @article {49780, title = {Three genomes from the phylum Acidobacteria provide insight into the lifestyles of these microorganisms in soils.}, journal = {Appl Environ Microbiol}, volume = {75}, year = {2009}, month = {2009 Apr}, pages = {2046-56}, abstract = {

The complete genomes of three strains from the phylum Acidobacteria were compared. Phylogenetic analysis placed them as a unique phylum. They share genomic traits with members of the Proteobacteria, the Cyanobacteria, and the Fungi. The three strains appear to be versatile heterotrophs. Genomic and culture traits indicate the use of carbon sources that span simple sugars to more complex substrates such as hemicellulose, cellulose, and chitin. The genomes encode low-specificity major facilitator superfamily transporters and high-affinity ABC transporters for sugars, suggesting that they are best suited to low-nutrient conditions. They appear capable of nitrate and nitrite reduction but not N(2) fixation or denitrification. The genomes contained numerous genes that encode siderophore receptors, but no evidence of siderophore production was found, suggesting that they may obtain iron via interaction with other microorganisms. The presence of cellulose synthesis genes and a large class of novel high-molecular-weight excreted proteins suggests potential traits for desiccation resistance, biofilm formation, and/or contribution to soil structure. Polyketide synthase and macrolide glycosylation genes suggest the production of novel antimicrobial compounds. Genes that encode a variety of novel proteins were also identified. The abundance of acidobacteria in soils worldwide and the breadth of potential carbon use by the sequenced strains suggest significant and previously unrecognized contributions to the terrestrial carbon cycle. Combining our genomic evidence with available culture traits, we postulate that cells of these isolates are long-lived, divide slowly, exhibit slow metabolic rates under low-nutrient conditions, and are well equipped to tolerate fluctuations in soil hydration.

}, keywords = {Anti-Bacterial Agents, bacteria, Biological Transport, Carbohydrate Metabolism, Cyanobacteria, DNA, Bacterial, Fungi, Genome, Bacterial, Macrolides, Molecular Sequence Data, Nitrogen, Phylogeny, Proteobacteria, Sequence Analysis, DNA, Sequence Homology, Soil Microbiology}, issn = {1098-5336}, doi = {10.1128/AEM.02294-08}, author = {Ward, Naomi L and Challacombe, Jean F and Janssen, Peter H and Henrissat, Bernard and Coutinho, Pedro M and Wu, Martin and Xie, Gary and Haft, Daniel H and Sait, Michelle and Badger, Jonathan and Barabote, Ravi D and Bradley, Brent and Brettin, Thomas S and Brinkac, Lauren M and Bruce, David and Creasy, Todd and Daugherty, Sean C and Davidsen, Tanja M and DeBoy, Robert T and Detter, J Chris and Dodson, Robert J and Durkin, A Scott and Ganapathy, Anuradha and Gwinn-Giglio, Michelle and Han, Cliff S and Khouri, Hoda and Kiss, Hajnalka and Kothari, Sagar P and Madupu, Ramana and Nelson, Karen E and Nelson, William C and Paulsen, Ian and Penn, Kevin and Ren, Qinghu and Rosovitz, M J and Selengut, Jeremy D and Shrivastava, Susmita and Sullivan, Steven A and Tapia, Roxanne and Thompson, L Sue and Watkins, Kisha L and Yang, Qi and Yu, Chunhui and Zafar, Nikhat and Zhou, Liwei and Kuske, Cheryl R} } @article {38533, title = {Toward reconstructing the evolution of advanced moths and butterflies (Lepidoptera: Ditrysia): an initial molecular study}, journal = {BMC Evol BiolBMC Evol Biol}, volume = {9}, year = {2009}, type = {10.1186/1471-2148-9-280}, abstract = {BACKGROUND: In the mega-diverse insect order Lepidoptera (butterflies and moths; 165,000 described species), deeper relationships are little understood within the clade Ditrysia, to which 98\% of the species belong. To begin addressing this problem, we tested the ability of five protein-coding nuclear genes (6.7 kb total), and character subsets therein, to resolve relationships among 123 species representing 27 (of 33) superfamilies and 55 (of 100) families of Ditrysia under maximum likelihood analysis. RESULTS: Our trees show broad concordance with previous morphological hypotheses of ditrysian phylogeny, although most relationships among superfamilies are weakly supported. There are also notable surprises, such as a consistently closer relationship of Pyraloidea than of butterflies to most Macrolepidoptera. Monophyly is significantly rejected by one or more character sets for the putative clades Macrolepidoptera as currently defined (P < 0.05) and Macrolepidoptera excluding Noctuoidea and Bombycoidea sensu lato (P < or = 0.005), and nearly so for the superfamily Drepanoidea as currently defined (P < 0.08). Superfamilies are typically recovered or nearly so, but usually without strong support. Relationships within superfamilies and families, however, are often robustly resolved. We provide some of the first strong molecular evidence on deeper splits within Pyraloidea, Tortricoidea, Geometroidea, Noctuoidea and others.Separate analyses of mostly synonymous versus non-synonymous character sets revealed notable differences (though not strong conflict), including a marked influence of compositional heterogeneity on apparent signal in the third codon position (nt3). As available model partitioning methods cannot correct for this variation, we assessed overall phylogeny resolution through separate examination of trees from each character set. Exploration of "tree space" with GARLI, using grid computing, showed that hundreds of searches are typically needed to find the best-feasible phylogeny estimate for these data. CONCLUSION: Our results (a) corroborate the broad outlines of the current working phylogenetic hypothesis for Ditrysia, (b) demonstrate that some prominent features of that hypothesis, including the position of the butterflies, need revision, and (c) resolve the majority of family and subfamily relationships within superfamilies as thus far sampled. Much further gene and taxon sampling will be needed, however, to strongly resolve individual deeper nodes.}, author = {Regier, J. C. and Zwick, A. and Michael P. Cummings and Kawahara, A. Y. and Cho, S. and Weller, S. and Roe, A. and Baixeras, J. and Brown, J. W. and Parr, C. and Davis, D. R. and Epstein, M. and Hallwachs, W. and Hausmann, A. and Janzen, D. H. and Kitching, I. J. and Solis, M. A. and Yen, S. H. and Adam L. Bazinet and Mitter, C.} } @article {38559, title = {Using Satellite Images of Environmental Changes to Predict Infectious Disease Outbreaks}, journal = {Emerging Infectious DiseasesEmerg Infect DisEmerging Infectious DiseasesEmerg Infect Dis}, volume = {15}, year = {2009}, type = {10.3201/eid/1509.081334}, abstract = {A strong global satellite imaging system is essential for predicting outbreaks., Recent events clearly illustrate a continued vulnerability of large populations to infectious diseases, which is related to our changing human-constructed and natural environments. A single person with multidrug-resistant tuberculosis in 2007 provided a wake-up call to the United States and global public health infrastructure, as the health professionals and the public realized that today{\textquoteright}s ease of airline travel can potentially expose hundreds of persons to an untreatable disease associated with an infectious agent. Ease of travel, population increase, population displacement, pollution, agricultural activity, changing socioeconomic structures, and international conflicts worldwide have each contributed to infectious disease events. Today, however, nothing is larger in scale, has more potential for long-term effects, and is more uncertain than the effects of climate change on infectious disease outbreaks, epidemics, and pandemics. We discuss advances in our ability to predict these events and, in particular, the critical role that satellite imaging could play in mounting an effective response.}, isbn = {1080-6040}, author = {Ford, Timothy E. and Rita R. Colwell and Rose, Joan B. and Morse, Stephen S. and Rogers, David J. and Yates, Terry L.} } @article {49676, title = {The draft genome of the transgenic tropical fruit tree papaya (Carica papaya Linnaeus).}, journal = {Nature}, volume = {452}, year = {2008}, month = {2008 Apr 24}, pages = {991-6}, abstract = {

Papaya, a fruit crop cultivated in tropical and subtropical regions, is known for its nutritional benefits and medicinal applications. Here we report a 3x draft genome sequence of {\textquoteright}SunUp{\textquoteright} papaya, the first commercial virus-resistant transgenic fruit tree to be sequenced. The papaya genome is three times the size of the Arabidopsis genome, but contains fewer genes, including significantly fewer disease-resistance gene analogues. Comparison of the five sequenced genomes suggests a minimal angiosperm gene set of 13,311. A lack of recent genome duplication, atypical of other angiosperm genomes sequenced so far, may account for the smaller papaya gene number in most functional groups. Nonetheless, striking amplifications in gene number within particular functional groups suggest roles in the evolution of tree-like habit, deposition and remobilization of starch reserves, attraction of seed dispersal agents, and adaptation to tropical daylengths. Transgenesis at three locations is closely associated with chloroplast insertions into the nuclear genome, and with topoisomerase I recognition sites. Papaya offers numerous advantages as a system for fruit-tree functional genomics, and this draft genome sequence provides the foundation for revealing the basis of Carica{\textquoteright}s distinguishing morpho-physiological, medicinal and nutritional properties.

}, keywords = {Arabidopsis, Carica, Contig Mapping, Databases, Genetic, Genes, Plant, Genome, Plant, Molecular Sequence Data, Plants, Genetically Modified, sequence alignment, Sequence Analysis, DNA, Transcription Factors, Tropical Climate}, issn = {1476-4687}, doi = {10.1038/nature06856}, author = {Ming, Ray and Hou, Shaobin and Feng, Yun and Yu, Qingyi and Dionne-Laporte, Alexandre and Saw, Jimmy H and Senin, Pavel and Wang, Wei and Ly, Benjamin V and Lewis, Kanako L T and Salzberg, Steven L and Feng, Lu and Jones, Meghan R and Skelton, Rachel L and Murray, Jan E and Chen, Cuixia and Qian, Wubin and Shen, Junguo and Du, Peng and Eustice, Moriah and Tong, Eric and Tang, Haibao and Lyons, Eric and Paull, Robert E and Michael, Todd P and Wall, Kerr and Rice, Danny W and Albert, Henrik and Wang, Ming-Li and Zhu, Yun J and Schatz, Michael and Nagarajan, Niranjan and Acob, Ricelle A and Guan, Peizhu and Blas, Andrea and Wai, Ching Man and Ackerman, Christine M and Ren, Yan and Liu, Chao and Wang, Jianmei and Wang, Jianping and Na, Jong-Kuk and Shakirov, Eugene V and Haas, Brian and Thimmapuram, Jyothi and Nelson, David and Wang, Xiyin and Bowers, John E and Gschwend, Andrea R and Delcher, Arthur L and Singh, Ratnesh and Suzuki, Jon Y and Tripathi, Savarni and Neupane, Kabi and Wei, Hairong and Irikura, Beth and Paidi, Maya and Jiang, Ning and Zhang, Wenli and Presting, Gernot and Windsor, Aaron and Navajas-P{\'e}rez, Rafael and Torres, Manuel J and Feltus, F Alex and Porter, Brad and Li, Yingjun and Burroughs, A Max and Luo, Ming-Cheng and Liu, Lei and Christopher, David A and Mount, Stephen M and Moore, Paul H and Sugimura, Tak and Jiang, Jiming and Schuler, Mary A and Friedman, Vikki and Mitchell-Olds, Thomas and Shippen, Dorothy E and dePamphilis, Claude W and Palmer, Jeffrey D and Freeling, Michael and Paterson, Andrew H and Gonsalves, Dennis and Wang, Lei and Alam, Maqsudul} } @article {38232, title = {Environmental signatures associated with cholera epidemics}, journal = {Proceedings of the National Academy of SciencesProceedings of the National Academy of Sciences}, volume = {105}, year = {2008}, type = {10.1073/pnas.0809654105}, abstract = {The causative agent of cholera, Vibrio cholerae, has been shown to be autochthonous to riverine, estuarine, and coastal waters along with its host, the copepod, a significant member of the zooplankton community. Temperature, salinity, rainfall and plankton have proven to be important factors in the ecology of V. cholerae, influencing the transmission of the disease in those regions of the world where the human population relies on untreated water as a source of drinking water. In this study, the pattern of cholera outbreaks during 1998{\textendash}2006 in Kolkata, India, and Matlab, Bangladesh, and the earth observation data were analyzed with the objective of developing a prediction model for cholera. Satellite sensors were used to measure chlorophyll a concentration (CHL) and sea surface temperature (SST). In addition, rainfall data were obtained from both satellite and in situ gauge measurements. From the analyses, a statistically significant relationship between the time series for cholera in Kolkata, India, and CHL and rainfall anomalies was determined. A statistically significant one month lag was observed between CHL anomaly and number of cholera cases in Matlab, Bangladesh. From the results of the study, it is concluded that ocean and climate patterns are useful predictors of cholera epidemics, with the dynamics of endemic cholera being related to climate and/or changes in the aquatic ecosystem. When the ecology of V. cholerae is considered in predictive models, a robust early warning system for cholera in endemic regions of the world can be developed for public health planning and decision making.ecology epidemiology microbiology remote sensing}, isbn = {0027-8424, 1091-6490}, author = {Constantin de Magny, G. and Murtugudde, R. and Sapiano, M. R. P. and Nizam, A. and Brown, C. W. and Busalacchi, A. J. and Yunus, M. and Nair, G. B. and Gil, A. I. and Lanata, C. F. and Rita R. Colwell} } @article {38260, title = {Figaro: A Novel Statistical Method for Vector Sequence Removal}, journal = {BioinformaticsBioinformaticsBioinformaticsBioinformatics}, volume = {24}, year = {2008}, type = {10.1093/bioinformatics/btm632}, abstract = {Motivation: Sequences produced by automated Sanger sequencing machines frequently contain fragments of the cloning vector on their ends. Software tools currently available for identifying and removing the vector sequence require knowledge of the vector sequence, specific splice sites and any adapter sequences used in the experiment{\textemdash}information often omitted from public databases. Furthermore, the clipping coordinates themselves are missing or incorrectly reported. As an example, within the \~{}1.24 billion shotgun sequences deposited in the NCBI Trace Archive, as many as \~{}735 million (\~{}60\%) lack vector clipping information. Correct clipping information is essential to scientists attempting to validate, improve and even finish the increasingly large number of genomes released at a {\textquoteleft}draft{\textquoteright} quality level.Results: We present here Figaro, a novel software tool for identifying and removing the vector from raw sequence data without prior knowledge of the vector sequence. The vector sequence is automatically inferred by analyzing the frequency of occurrence of short oligo-nucleotides using Poisson statistics. We show that Figaro achieves 99.98\% sensitivity when tested on \~{}1.5 million shotgun reads from Drosophila pseudoobscura. We further explore the impact of accurate vector trimming on the quality of whole-genome assemblies by re-assembling two bacterial genomes from shotgun sequences deposited in the Trace Archive. Designed as a module in large computational pipelines, Figaro is fast, lightweight and flexible. Availability: Figaro is released under an open-source license through the AMOS package (http://amos.sourceforge.net/Figaro). Contact: mpop@umiacs.umd.edu}, isbn = {1367-4803, 1460-2059}, author = {White, James Robert and Roberts, Michael and Yorke, James A. and M. Pop} } @article {38398, title = {New records of phytoplankton for Bangladesh. 2. Cryptophyceae and Synurophyceae}, journal = {Bangladesh Journal of BotanyBangladesh Journal of Botany}, volume = {36}, year = {2008}, type = {10.3329/bjb.v36i1.1549}, abstract = {This study presents two species of Rhodomonas, four species of Chroomonas, six species of Cryptomonas and Cryptochrysis minor, Cyanomonas coeruleus, Chrysodidymus synuroideus and Mallomonas akrokomos. These species have been reported from some ponds of Mathbaria in Pirojpur and Bakerganj of Barisal district in Bangladesh.}, isbn = {0253-5416}, author = {Khondker, Moniruzzaman and Bhuiyan, Rauf Ahmed and Yeasmin, Jenat and Alam, Munirul and Sack, R. Bradley and Huq, Anwar and Rita R. Colwell} } @article {38401, title = {New records of phytoplankton for Bangladesh. 5. Euglena, Euglenocapsa}, journal = {Bangladesh Journal of Plant TaxonomyBangladesh Journal of Plant Taxonomy}, volume = {15}, year = {2008}, type = {10.3329/bjpt.v15i1.910}, abstract = {This study presents 20 taxa of the genus Euglena and one species of the rare euglenoid genus Euglenocapsa. All these taxa are reported for the first time from some pond ecosystems of Mathbaria in Pirojpur and Bakerganj of Barisal districts of Bangladesh.}, isbn = {1028-2092}, author = {Khondker, Moniruzzaman and Bhuiyan, Rauf Ahmed and Yeasmin, Jenat and Alam, Munirul and Sack, R. Bradley and Huq, Anwar and Rita R. Colwell} } @article {38402, title = {New records of phytoplankton for Bangladesh. 7. Phacus spp}, journal = {Bangladesh Journal of BotanyBangladesh Journal of Botany}, volume = {37}, year = {2008}, type = {10.3329/bjb.v37i1.1564}, abstract = {Thirteen species of Phacus hitherto not reported from Bangladesh have been described and illustrated. Freshwater ponds at southern districts of Pirojpur and Barisal revealed these presence of the species.}, isbn = {0253-5416}, author = {Khondker, Moniruzzaman and Bhuiyan, Rauf Ahmed and Yeasmin, Jenat and Alam, Munirul and Sack, R. Bradley and Huq, Anwar and Rita R. Colwell} } @article {38403, title = {New records of phytoplankton for Bangladesh. 8. Trachelomonas Ehr. (Euglenophyceae)}, journal = {Bangladesh Journal of BotanyBangladesh Journal of Botany}, volume = {37}, year = {2008}, type = {10.3329/bjb.v37i2.1719}, abstract = {Investigation of pelagic plankton communities from some freshwater ponds of Pirojpur and Barisal districts revealed the presence of 17 species under the genus Trachelomonas Ehr. for the first time in Bangladesh.}, isbn = {0253-5416}, author = {Khondker, Moniruzzaman and Bhuiyan, Rauf Ahmed and Yeasmin, Jenat and Alam, Munirul and Sack, R. Bradley and Huq, Anwar and Rita R. Colwell} } @article {38242, title = {Evolution of genes and genomes on the Drosophila phylogeny}, journal = {NatureNature}, volume = {450}, year = {2007}, note = {[szlig]}, type = {10.1038/nature06341}, abstract = {Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.}, isbn = {0028-0836}, author = {Clark, Andrew G. and Eisen, Michael B. and Smith, Douglas R. and Bergman, Casey M. and Oliver, Brian and Markow, Therese A. and Kaufman, Thomas C. and Kellis, Manolis and Gelbart, William and Iyer, Venky N. and Pollard, Daniel A. and Sackton, Timothy B. and Larracuente, Amanda M. and Singh, Nadia D. and Abad, Jose P. and Abt, Dawn N. and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W. and Aquadro, Charles F. and Ardell, David H. and Arguello, Roman and Artieri, Carlo G. and Barbash, Daniel A. and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A. and Bradley, Robert K. and Brand, Adrianne D. and Brent, Michael R. and Brooks, Angela N. and Brown, Randall H. and Butlin, Roger K. and Caggese, Corrado and Calvi, Brian R. and Carvalho, A. Bernardo de and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E. and Chang, Jean L. and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W. and Comeron, Josep M. and Costello, James C. and Coyne, Jerry A. and Daub, Jennifer and David, Robert G. and Delcher, Arthur L. and Delehaunty, Kim and Do, Chuong B. and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D. and Filipski, Alan and Findei, and Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C. L. and Gardiner, Anastasia and Garfield, David A. and Garvin, Barry E. and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J. and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A. and Haerty, Wilfried and Hahn, Matthew W. and Halligan, Daniel L. and Halpern, Aaron L. and Halter, Gillian M. and Han, Mira V. and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S. and Holmes, Ian and Hoskins, Roger A. and Hubisz, Melissa J. and Hultmark, Dan and Huntley, Melanie A. and Jaffe, David B. and Jagadeeshan, Santosh and Jeck, William R. and Johnson, Justin and Jones, Corbin D. and Jordan, William C. and Karpen, Gary H. and Kataoka, Eiko and Keightley, Peter D. and Kheradpour, Pouya and Kirkness, Ewen F. and Koerich, Leonardo B. and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J. and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H. and Lapoint, Richard and Lazzaro, Brian P. and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F. and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A. and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S. and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U. and Montooth, Kristi and Stephen M. Mount and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A. F. and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J. and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S. and Pesole, Graziano and Phillippy, Adam M. and Ponting, Chris P. and M. Pop and Porcelli, Damiano and Powell, Jeffrey R. and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D. and Reed, Laura K. and Reenan, Robert and Reily, Amy and Remington, Karin A. and Rieger, Tania T. and Ritchie, Michael G. and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J. and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L. and Sanchez-Gracia, Alejandro and Saranga, David J. and Sato, Hajime and Schaeffer, Stephen W. and Schatz, Michael C. and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S. and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B. and Smith, Chris D. and Smith, Temple F. and Spieth, John and Stage, Deborah E. and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L. and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G. and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N. and Tomimura, Yoshihiko and Tsolas, Jason M. and Valente, Vera L. S. and Venter, Eli and Venter, J. Craig and Vicario, Saverio and Vieira, Filipe G. and Vilella, Albert J. and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K. and Wing, Rod A. and Wolfner, Mariana F. and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung- I. and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A. and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V. and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and Haan, Georgius De and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D. and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R. and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D. and Hughes, Leanne and Hurhula, Brian and Husby, M. Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L. and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B. and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {49677, title = {Evolution of genes and genomes on the Drosophila phylogeny.}, journal = {Nature}, volume = {450}, year = {2007}, month = {2007 Nov 8}, pages = {203-18}, abstract = {

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.

}, keywords = {Animals, Codon, DNA Transposable Elements, Drosophila, Drosophila Proteins, Evolution, Molecular, Gene Order, Genes, Insect, Genome, Insect, Genome, Mitochondrial, Genomics, Immunity, Multigene Family, Phylogeny, Reproduction, RNA, Untranslated, sequence alignment, Sequence Analysis, DNA, Synteny}, issn = {1476-4687}, doi = {10.1038/nature06341}, author = {Clark, Andrew G and Eisen, Michael B and Smith, Douglas R and Bergman, Casey M and Oliver, Brian and Markow, Therese A and Kaufman, Thomas C and Kellis, Manolis and Gelbart, William and Iyer, Venky N and Pollard, Daniel A and Sackton, Timothy B and Larracuente, Amanda M and Singh, Nadia D and Abad, Jose P and Abt, Dawn N and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W and Aquadro, Charles F and Ardell, David H and Arguello, Roman and Artieri, Carlo G and Barbash, Daniel A and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A and Bradley, Robert K and Brand, Adrianne D and Brent, Michael R and Brooks, Angela N and Brown, Randall H and Butlin, Roger K and Caggese, Corrado and Calvi, Brian R and Bernardo de Carvalho, A and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E and Chang, Jean L and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W and Comeron, Josep M and Costello, James C and Coyne, Jerry A and Daub, Jennifer and David, Robert G and Delcher, Arthur L and Delehaunty, Kim and Do, Chuong B and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D and Filipski, Alan and Findeiss, Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C L and Gardiner, Anastasia and Garfield, David A and Garvin, Barry E and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A and Haerty, Wilfried and Hahn, Matthew W and Halligan, Daniel L and Halpern, Aaron L and Halter, Gillian M and Han, Mira V and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S and Holmes, Ian and Hoskins, Roger A and Hubisz, Melissa J and Hultmark, Dan and Huntley, Melanie A and Jaffe, David B and Jagadeeshan, Santosh and Jeck, William R and Johnson, Justin and Jones, Corbin D and Jordan, William C and Karpen, Gary H and Kataoka, Eiko and Keightley, Peter D and Kheradpour, Pouya and Kirkness, Ewen F and Koerich, Leonardo B and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H and Lapoint, Richard and Lazzaro, Brian P and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U and Montooth, Kristi and Mount, Stephen M and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A F and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S and Pesole, Graziano and Phillippy, Adam M and Ponting, Chris P and Pop, Mihai and Porcelli, Damiano and Powell, Jeffrey R and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D and Reed, Laura K and Reenan, Robert and Reily, Amy and Remington, Karin A and Rieger, Tania T and Ritchie, Michael G and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L and Sanchez-Gracia, Alejandro and Saranga, David J and Sato, Hajime and Schaeffer, Stephen W and Schatz, Michael C and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B and Smith, Chris D and Smith, Temple F and Spieth, John and Stage, Deborah E and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N and Tomimura, Yoshihiko and Tsolas, Jason M and Valente, Vera L S and Venter, Eli and Venter, J Craig and Vicario, Saverio and Vieira, Filipe G and Vilella, Albert J and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K and Wing, Rod A and Wolfner, Mariana F and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung-I and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and De Haan, Georgius and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D and Hughes, Leanne and Hurhula, Brian and Husby, M Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {38286, title = {Genome Analysis Linking Recent European and African Influenza (H5N1) Viruses}, journal = {Emerging Infectious DiseasesEmerg Infect DisEmerging Infectious DiseasesEmerg Infect Dis}, volume = {13}, year = {2007}, type = {10.3201/eid1305.070013}, abstract = {Although linked, these viruses are distinct from earlier outbreak strains., To better understand the ecology and epidemiology of the highly pathogenic avian influenza virus in its transcontinental spread, we sequenced and analyzed the complete genomes of 36 recent influenza A (H5N1) viruses collected from birds in Europe, northern Africa, and southeastern Asia. These sequences, among the first complete genomes of influenza (H5N1) viruses outside Asia, clearly depict the lineages now infecting wild and domestic birds in Europe and Africa and show the relationships among these isolates and other strains affecting both birds and humans. The isolates fall into 3 distinct lineages, 1 of which contains all known non-Asian isolates. This new Euro-African lineage, which was the cause of several recent (2006) fatal human infections in Egypt and Iraq, has been introduced at least 3 times into the European-African region and has split into 3 distinct, independently evolving sublineages. One isolate provides evidence that 2 of these sublineages have recently reassorted.}, isbn = {1080-6040}, author = {Salzberg, Steven L. and Kingsford, Carl and Cattoli, Giovanni and Spiro, David J. and Janies, Daniel A. and Aly, Mona Mehrez and Brown, Ian H. and Couacy-Hymann, Emmanuel and De Mia, Gian Mario and Dung, Do Huu and Guercio, Annalisa and Joannis, Tony and Ali, Ali Safar Maken and Osmani, Azizullah and Padalino, Iolanda and Saad, Magdi D. and Savi{\'c}, Vladimir and Sengamalay, Naomi A. and Yingst, Samuel and Zaborsky, Jennifer and Zorman-Rojs, Olga and Ghedin, Elodie and Capua, Ilaria} } @article {38311, title = {Genome-wide expression profiling and bioinformatics analysis of diurnally regulated genes in the mouse prefrontal cortex}, journal = {Genome BiolGenome Biol}, volume = {8}, year = {2007}, author = {Yang, S. and Wang, K. and Valladares, O. and Sridhar Hannenhalli and Bucan, M. and others,} } @article {49783, title = {New developments in the InterPro database.}, journal = {Nucleic Acids Res}, volume = {35}, year = {2007}, month = {2007 Jan}, pages = {D224-8}, abstract = {

InterPro is an integrated resource for protein families, domains and functional sites, which integrates the following protein signature databases: PROSITE, PRINTS, ProDom, Pfam, SMART, TIGRFAMs, PIRSF, SUPERFAMILY, Gene3D and PANTHER. The latter two new member databases have been integrated since the last publication in this journal. There have been several new developments in InterPro, including an additional reading field, new database links, extensions to the web interface and additional match XML files. InterPro has always provided matches to UniProtKB proteins on the website and in the match XML file on the FTP site. Additional matches to proteins in UniParc (UniProt archive) are now available for download in the new match XML files only. The latest InterPro release (13.0) contains more than 13 000 entries, covering over 78\% of all proteins in UniProtKB. The database is available for text- and sequence-based searches via a webserver (http://www.ebi.ac.uk/interpro), and for download by anonymous FTP (ftp://ftp.ebi.ac.uk/pub/databases/interpro). The InterProScan search tool is now also available via a web service at http://www.ebi.ac.uk/Tools/webservices/WSInterProScan.html.

}, keywords = {Databases, Protein, Internet, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, Systems Integration, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkl841}, author = {Mulder, Nicola J and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Buillard, Virginie and Cerutti, Lorenzo and Copley, Richard and Courcelle, Emmanuel and Das, Ujjwal and Daugherty, Louise and Dibley, Mark and Finn, Robert and Fleischmann, Wolfgang and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Hunter, Sarah and Kahn, Daniel and Kanapin, Alexander and Kejariwal, Anish and Labarga, Alberto and Langendijk-Genevaux, Petra S and Lonsdale, David and Lopez, Rodrigo and Letunic, Ivica and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Nikolskaya, Anastasia N and Orchard, Sandra and Orengo, Christine and Petryszak, Robert and Selengut, Jeremy D and Sigrist, Christian J A and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38399, title = {New records of phytoplankton for Bangladesh. 3. Volvocales}, journal = {Bangladesh Journal of Plant TaxonomyBangladesh Journal of Plant Taxonomy}, volume = {14}, year = {2007}, type = {10.3329/bjpt.v14i1.518}, abstract = {This study presents 21 species of Chlamydomonas, four species of Carteria, two species of each of Nephroselmis, Pyramidomonas and Scherffelia, and Collodictyon triciliatum, Polytoma minus, Tetrachloridium ? allorgei and Tetraselmis cordiformis. These species have been reported from some ponds of Mathbaria of Pirojpur and Bakerganj of Barisal districts in Bangladesh.}, isbn = {1028-2092}, author = {Khondker, Moniruzzaman and Bhuiyan, Rauf Ahmed and Yeasmin, Jenat and Alam, Munirul and Sack, R. Bradley and Huq, Anwar and Rita R. Colwell} } @article {38400, title = {New records of phytoplankton for Bangladesh. 4. Chlorococcales}, journal = {Bangladesh Journal of Plant TaxonomyBangladesh Journal of Plant Taxonomy}, volume = {14}, year = {2007}, type = {10.3329/bjpt.v14i2.528}, abstract = {This study presents three species from each of Schroederia, Monoraphidium and Ankistrodesmus, two species and one variety of Dictyosphaerium, two varieties of Pediastrum, and Tetraedron arthrodesmiforme var. contorta, Chlorotetraedron polymorphum, Myrmecia aquatica, Oocystis tainoensis, Nephrocytium spirale, Kirchneriella irregularis, Coelastrum indicum and Scenedesmus similagineus. These taxa have been reported from some ponds of Mathbaria of Pirojpur and Bakerganj of Barisal Districts in Bangladesh.}, isbn = {1028-2092}, author = {Khondker, Moniruzzaman and Bhuiyan, Rauf Ahmed and Yeasim, Jenat and Alam, Munirul and Sack, R. Bradley and Huq, Anwar and Rita R. Colwell} } @article {38159, title = {Comparative genomic evidence for a close relationship between the dimorphic prosthecate bacteria Hyphomonas neptunium and Caulobacter crescentus}, journal = {Journal of bacteriologyJournal of bacteriology}, volume = {188}, year = {2006}, note = {http://www.ncbi.nlm.nih.gov/pubmed/16980487?dopt=Abstract}, type = {10.1128/JB.00111-06}, abstract = {The dimorphic prosthecate bacteria (DPB) are alpha-proteobacteria that reproduce in an asymmetric manner rather than by binary fission and are of interest as simple models of development. Prior to this work, the only member of this group for which genome sequence was available was the model freshwater organism Caulobacter crescentus. Here we describe the genome sequence of Hyphomonas neptunium, a marine member of the DPB that differs from C. crescentus in that H. neptunium uses its stalk as a reproductive structure. Genome analysis indicates that this organism shares more genes with C. crescentus than it does with Silicibacter pomeroyi (a closer relative according to 16S rRNA phylogeny), that it relies upon a heterotrophic strategy utilizing a wide range of substrates, that its cell cycle is likely to be regulated in a similar manner to that of C. crescentus, and that the outer membrane complements of H. neptunium and C. crescentus are remarkably similar. H. neptunium swarmer cells are highly motile via a single polar flagellum. With the exception of cheY and cheR, genes required for chemotaxis were absent in the H. neptunium genome. Consistent with this observation, H. neptunium swarmer cells did not respond to any chemotactic stimuli that were tested, which suggests that H. neptunium motility is a random dispersal mechanism for swarmer cells rather than a stimulus-controlled navigation system for locating specific environments. In addition to providing insights into bacterial development, the H. neptunium genome will provide an important resource for the study of other interesting biological processes including chromosome segregation, polar growth, and cell aging.}, keywords = {Alphaproteobacteria, Bacterial Outer Membrane Proteins, Caulobacter crescentus, cell cycle, Chemotaxis, DNA, Bacterial, Flagella, Genome, Bacterial, Microbial Viability, Molecular Sequence Data, Movement, Sequence Analysis, DNA, Sequence Homology, signal transduction}, author = {Badger, Jonathan H. and Hoover, Timothy R. and Brun, Yves V. and Weiner, Ronald M. and Laub, Michael T. and Alexandre, Gladys and Mr{\'a}zek, Jan and Ren, Qinghu and Paulsen, Ian T. and Nelson, Karen E. and Khouri, Hoda M. and Radune, Diana and Sosa, Julia and Dodson, Robert J. and Sullivan, Steven A. and Rosovitz, M. J. and Madupu, Ramana and Brinkac, Lauren M. and Durkin, A. Scott and Daugherty, Sean C. and Kothari, Sagar P. and Giglio, Michelle Gwinn and Zhou, Liwei and Haft, Daniel H. and J. Selengut and Davidsen, Tanja M. and Yang, Qi and Zafar, Nikhat and Ward, Naomi L.} } @article {38387, title = {Molecular Characterization of Serine-, Alanine-, and Proline-Rich Proteins of Trypanosoma cruzi and Their Possible Role in Host Cell Infection}, journal = {Infect. Immun.Infect. Immun.}, volume = {74}, year = {2006}, type = {

10.1128/IAI.74.3.1537-1546.2006

}, abstract = {We previously reported the isolation of a novel protein gene family, termed SAP (serine-, alanine-, and proline-rich protein), from Trypanosoma cruzi. Aided by the availability of the completed genome sequence of T. cruzi, we have now identified 39 full-length sequences of SAP, six pseudogenes and four partial genes. SAPs share a central domain of about 55 amino acids and can be divided into four groups based on their amino (N)- and carboxy (C)-terminal sequences. Some SAPs have conserved N- and C-terminal domains encoding a signal peptide and a glycosylphosphatidylinositol anchor addition site, respectively. Analysis of the expression of SAPs in metacyclic trypomastigotes by two-dimensional electrophoresis and immunoblotting revealed that they are likely to be posttranslationally modified in vivo. We have also demonstrated that some SAPs are shed into the extracellular medium. The recombinant SAP exhibited an adhesive capacity toward mammalian cells, where binding was dose dependent and saturable, indicating a possible ligand-receptor interaction. SAP triggered the host cell Ca2+ response required for parasite internalization. A cell invasion assay performed in the presence of SAP showed inhibition of internalization of the metacyclic forms of the CL strain. Taken together, these results show that SAP is involved in the invasion of mammalian cells by metacyclic trypomastigotes, and they confirm the hypothesis that infective trypomastigotes exploit an arsenal of surface glycoproteins and shed proteins to induce signaling events required for their internalization.}, author = {Baida, Renata C. P. and Santos, Marcia R. M. and Carmo, Mirian S. and Yoshida, Nobuko and Ferreira, Danielle and Ferreira, Alice Teixeira and El Sayed, Najib M. and Andersson, Bj{\"o}rn and da Silveira, Jose Franco} } @article {38464, title = {Retroviral DNA integration: viral and cellular determinants of target-site selection}, journal = {PLoS pathogensPLoS pathogens}, volume = {2}, year = {2006}, publisher = {Public Library of Science}, author = {Lewinski, M. K. and Yamashita, M. and Emerman, M. and Ciuffi, A. and Marshall, H. and Crawford, G. and Collins, F. and Shinn, P. and Leipzig, J. and Sridhar Hannenhalli and others,} } @article {38188, title = {Critical Factors Influencing the Occurrence of Vibrio Cholerae in the Environment of Bangladesh}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {71}, year = {2005}, type = {10.1128/AEM.71.8.4645-4654.2005}, abstract = {The occurrence of outbreaks of cholera in Africa in 1970 and in Latin America in 1991, mainly in coastal communities, and the appearance of the new serotype Vibrio cholerae O139 in India and subsequently in Bangladesh have stimulated efforts to understand environmental factors influencing the growth and geographic distribution of epidemic Vibrio cholerae serotypes. Because of the severity of recent epidemics, cholera is now being considered by some infectious disease investigators as a {\textquotedblleft}reemerging{\textquotedblright} disease, prompting new work on the ecology of vibrios. Epidemiological and ecological surveillance for cholera has been under way in four rural, geographically separated locations in Bangladesh for the past 4 years, during which both clinical and environmental samples were collected at biweekly intervals. The clinical epidemiology portion of the research has been published (Sack et al., J. Infect. Dis. 187:96-101, 2003). The results of environmental sampling and analysis of the environmental and clinical data have revealed significant correlations of water temperature, water depth, rainfall, conductivity, and copepod counts with the occurrence of cholera toxin-producing bacteria (presumably V. cholerae). The lag periods between increases or decreases in units of factors, such as temperature and salinity, and occurrence of cholera correlate with biological parameters, e.g., plankton population blooms. The new information on the ecology of V. cholerae is proving useful in developing environmental models for the prediction of cholera epidemics.}, isbn = {0099-2240, 1098-5336}, author = {Huq, Anwar and Sack, R. Bradley and Nizam, Azhar and Longini, Ira M. and Nair, G. Balakrish and Ali, Afsar and Morris, J. Glenn and Khan, M. N. Huda and Siddique, A. Kasem and Yunus, Mohammed and Albert, M. John and Sack, David A. and Rita R. Colwell} } @article {38302, title = {Genome sequence of Silicibacter pomeroyi reveals adaptations to the marine environment}, journal = {NatureNature}, volume = {432}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15602564?dopt=Abstract}, type = {10.1038/nature03170}, abstract = {Since the recognition of prokaryotes as essential components of the oceanic food web, bacterioplankton have been acknowledged as catalysts of most major biogeochemical processes in the sea. Studying heterotrophic bacterioplankton has been challenging, however, as most major clades have never been cultured or have only been grown to low densities in sea water. Here we describe the genome sequence of Silicibacter pomeroyi, a member of the marine Roseobacter clade (Fig. 1), the relatives of which comprise approximately 10-20\% of coastal and oceanic mixed-layer bacterioplankton. This first genome sequence from any major heterotrophic clade consists of a chromosome (4,109,442 base pairs) and megaplasmid (491,611 base pairs). Genome analysis indicates that this organism relies upon a lithoheterotrophic strategy that uses inorganic compounds (carbon monoxide and sulphide) to supplement heterotrophy. Silicibacter pomeroyi also has genes advantageous for associations with plankton and suspended particles, including genes for uptake of algal-derived compounds, use of metabolites from reducing microzones, rapid growth and cell-density-dependent regulation. This bacterium has a physiology distinct from that of marine oligotrophs, adding a new strategy to the recognized repertoire for coping with a nutrient-poor ocean.}, keywords = {Adaptation, Physiological, Carrier Proteins, Genes, Bacterial, Genome, Bacterial, marine biology, Molecular Sequence Data, Oceans and Seas, Phylogeny, plankton, RNA, Ribosomal, 16S, Roseobacter, Seawater}, author = {Moran, Mary Ann and Buchan, Alison and Gonz{\'a}lez, Jos{\'e} M. and Heidelberg, John F. and Whitman, William B. and Kiene, Ronald P. and Henriksen, James R. and King, Gary M. and Belas, Robert and Fuqua, Clay and Brinkac, Lauren and Lewis, Matt and Johri, Shivani and Weaver, Bruce and Pai, Grace and Eisen, Jonathan A. and Rahe, Elisha and Sheldon, Wade M. and Ye, Wenying and Miller, Todd R. and Carlton, Jane and Rasko, David A. and Paulsen, Ian T. and Ren, Qinghu and Daugherty, Sean C. and DeBoy, Robert T. and Dodson, Robert J. and Durkin, A. Scott and Madupu, Ramana and Nelson, William C. and Sullivan, Steven A. and Rosovitz, M. J. and Haft, Daniel H. and J. Selengut and Ward, Naomi} } @article {38408, title = {A Note on Efficient Computation of Haplotypes via Perfect Phylogeny}, journal = {Journal of Computational BiologyJournal of Computational Biology}, volume = {11}, year = {2004}, type = {10.1089/cmb.2004.11.858}, abstract = {The problem of inferring haplotype phase from a population of genotypes has received a lot of attention recently. This is partly due to the observation that there are many regions on human genomic DNA where genetic recombination is rare (Helmuth, 2001; Daly et al., 2001; Stephens et al., 2001; Friss et al., 2001). A Haplotype Map project has been announced by NIH to identify and characterize populations in terms of these haplotypes. Recently, Gusfield introduced the perfect phylogeny haplotyping problem, as an algorithmic implication of the no-recombination in long blocks observation, together with the standard population-genetic assumption of infinite sites. Gusfield{\textquoteright}s solution based on matroid theory was followed by direct θ(nm2 ) solutions that use simpler techniques (Bafna et al., 2003; Eskin et al., 2003), and also bound the number of solutions to the PPH problem. In this short note, we address two questions that were left open. First, can the algorithms of Bafna et al. (2003) and Eskin et al. (2003) be sped-up to O(nm + m2 ) time, which would imply an O(nm) time-bound for the PPH problem? Second, if there are multiple solutions, can we find one that is most parsimonious in terms of the number of distinct haplotypes.We give reductions that suggests that the answer to both questions is "no." For the first problem, we show that computing the output of the first step (in either method) is equivalent to Boolean matrix multiplication. Therefore, the best bound we can presently achieve is O(nmω{\textendash}1), where ω <= 2.52 is the exponent of matrix multiplication. Thus, any linear time solution to the PPH problem likely requires a different approach. For the second problem of computing a PPH solution that minimizes the number of distinct haplotypes, we show that the problem is NP-hard using a reduction from Vertex Cover (Garey and Johnson, 1979).}, isbn = {1066-5277, 1557-8666}, author = {Bafna, Vineet and Gusfield, Dan and Sridhar Hannenhalli and Yooseph, Shibu} } @article {49683, title = {Reducing storage requirements for biological sequence comparison.}, journal = {Bioinformatics}, volume = {20}, year = {2004}, month = {2004 Dec 12}, pages = {3363-9}, abstract = {

MOTIVATION: Comparison of nucleic acid and protein sequences is a fundamental tool of modern bioinformatics. A dominant method of such string matching is the {\textquoteright}seed-and-extend{\textquoteright} approach, in which occurrences of short subsequences called {\textquoteright}seeds{\textquoteright} are used to search for potentially longer matches in a large database of sequences. Each such potential match is then checked to see if it extends beyond the seed. To be effective, the seed-and-extend approach needs to catalogue seeds from virtually every substring in the database of search strings. Projects such as mammalian genome assemblies and large-scale protein matching, however, have such large sequence databases that the resulting list of seeds cannot be stored in RAM on a single computer. This significantly slows the matching process.

RESULTS: We present a simple and elegant method in which only a small fraction of seeds, called {\textquoteright}minimizers{\textquoteright}, needs to be stored. Using minimizers can speed up string-matching computations by a large factor while missing only a small fraction of the matches found using all seeds.

}, keywords = {algorithms, Databases, Genetic, Information Storage and Retrieval, Numerical Analysis, Computer-Assisted, sequence alignment, Sequence Analysis}, issn = {1367-4803}, doi = {10.1093/bioinformatics/bth408}, author = {Roberts, Michael and Hayes, Wayne and Hunt, Brian R and Mount, Stephen M and Yorke, James A} } @article {38514, title = {Structural flexibility in the Burkholderia mallei genome}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {101}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15377793?dopt=Abstract}, type = {10.1073/pnas.0403306101}, abstract = {The complete genome sequence of Burkholderia mallei ATCC 23344 provides insight into this highly infectious bacterium{\textquoteright}s pathogenicity and evolutionary history. B. mallei, the etiologic agent of glanders, has come under renewed scientific investigation as a result of recent concerns about its past and potential future use as a biological weapon. Genome analysis identified a number of putative virulence factors whose function was supported by comparative genome hybridization and expression profiling of the bacterium in hamster liver in vivo. The genome contains numerous insertion sequence elements that have mediated extensive deletions and rearrangements of the genome relative to Burkholderia pseudomallei. The genome also contains a vast number (>12,000) of simple sequence repeats. Variation in simple sequence repeats in key genes can provide a mechanism for generating antigenic variation that may account for the mammalian host{\textquoteright}s inability to mount a durable adaptive immune response to a B. mallei infection.}, keywords = {Animals, Base Composition, Base Sequence, Burkholderia mallei, Chromosomes, Bacterial, Cricetinae, Genome, Bacterial, Glanders, Liver, Mesocricetus, Molecular Sequence Data, Multigene Family, Oligonucleotide Array Sequence Analysis, Open Reading Frames, virulence}, author = {Nierman, William C. and DeShazer, David and Kim, H. Stanley and Tettelin, Herv{\'e} and Nelson, Karen E. and Feldblyum, Tamara and Ulrich, Ricky L. and Ronning, Catherine M. and Brinkac, Lauren M. and Daugherty, Sean C. and Davidsen, Tanja D. and DeBoy, Robert T. and Dimitrov, George and Dodson, Robert J. and Durkin, A. Scott and Gwinn, Michelle L. and Haft, Daniel H. and Khouri, Hoda and Kolonay, James F. and Madupu, Ramana and Mohammoud, Yasmin and Nelson, William C. and Radune, Diana and Romero, Claudia M. and Sarria, Saul and J. Selengut and Shamblin, Christine and Sullivan, Steven A. and White, Owen and Yu, Yan and Zafar, Nikhat and Zhou, Liwei and Fraser, Claire M.} } @article {38562, title = {Variation of toxigenic Vibrio cholerae O1 in the aquatic environment of Bangladesh and its correlation with the clinical strains}, journal = {Microbiology and immunologyMicrobiology and Immunology}, volume = {48}, year = {2004}, author = {Islam, M. S. and Talukder, K. A. and Khan, N. H. and Mahmud, Z. H. and Rahman, M. Z. and Nair, G. B. and Siddique, A. K. M. and Yunus, M. and Sack, D. A. and Sack, R. B. and Rita R. Colwell} } @article {38098, title = {A 4-Year Study of the Epidemiology of Vibrio Cholerae in Four Rural Areas of Bangladesh}, journal = {Journal of Infectious DiseasesJ Infect Dis.Journal of Infectious DiseasesJ Infect Dis.}, volume = {187}, year = {2003}, type = {10.1086/345865}, abstract = {How Vibrio cholerae spreads around the world and what determines its seasonal peaks in endemic areas are not known. These features of cholera have been hypothesized to be primarily the result of environmental factors associated with aquatic habitats that can now be identified. Since 1997, fortnightly surveillance in 4 widely separated geographic locations in Bangladesh has been performed to identify patients with cholera and to collect environmental data. A total of 5670 patients (53\% <5 years of age) have been studied; 14.3\% had cholera (10.4\% due to V. cholerae O1 El Tor, 3.8\% due to O139). Both serogroups were found in all locations; outbreaks were seasonal and often occurred simultaneously. Water-use patterns showed that bathing and washing clothes in tube-well water was significantly protective in two of the sites. These data will be correlated with environmental factors, to develop a model for prediction of cholera outbreaks}, isbn = {0022-1899, 1537-6613}, author = {Sack, R. Bradley and Siddique, A. Kasem and Longini, Ira M. and Nizam, Azhar and Yunus, Md and M. Sirajul Islam and Morris and Ali, Afsar and Huq, Anwar and Nair, G. Balakrish and Qadri, Firdausi and Faruque, Shah M. and Sack, David A. and Rita R. Colwell} } @article {38168, title = {The complete genome sequence of the Arabidopsis and tomato pathogen Pseudomonas syringae pv. tomato DC3000}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {100}, year = {2003}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12928499?dopt=Abstract}, type = {10.1073/pnas.1731982100}, abstract = {We report the complete genome sequence of the model bacterial pathogen Pseudomonas syringae pathovar tomato DC3000 (DC3000), which is pathogenic on tomato and Arabidopsis thaliana. The DC3000 genome (6.5 megabases) contains a circular chromosome and two plasmids, which collectively encode 5,763 ORFs. We identified 298 established and putative virulence genes, including several clusters of genes encoding 31 confirmed and 19 predicted type III secretion system effector proteins. Many of the virulence genes were members of paralogous families and also were proximal to mobile elements, which collectively comprise 7\% of the DC3000 genome. The bacterium possesses a large repertoire of transporters for the acquisition of nutrients, particularly sugars, as well as genes implicated in attachment to plant surfaces. Over 12\% of the genes are dedicated to regulation, which may reflect the need for rapid adaptation to the diverse environments encountered during epiphytic growth and pathogenesis. Comparative analyses confirmed a high degree of similarity with two sequenced pseudomonads, Pseudomonas putida and Pseudomonas aeruginosa, yet revealed 1,159 genes unique to DC3000, of which 811 lack a known function.}, keywords = {Arabidopsis, Base Sequence, Biological Transport, Genome, Bacterial, Lycopersicon esculentum, Molecular Sequence Data, Plant Growth Regulators, Plasmids, Pseudomonas, Reactive Oxygen Species, Siderophores, virulence}, author = {Buell, C. Robin and Joardar, Vinita and Lindeberg, Magdalen and J. Selengut and Paulsen, Ian T. and Gwinn, Michelle L. and Dodson, Robert J. and DeBoy, Robert T. and Durkin, A. Scott and Kolonay, James F. and Madupu, Ramana and Daugherty, Sean and Brinkac, Lauren and Beanan, Maureen J. and Haft, Daniel H. and Nelson, William C. and Davidsen, Tanja and Zafar, Nikhat and Zhou, Liwei and Liu, Jia and Yuan, Qiaoping and Khouri, Hoda and Fedorova, Nadia and Tran, Bao and Russell, Daniel and Berry, Kristi and Utterback, Teresa and Aken, Susan E. van and Feldblyum, Tamara V. and D{\textquoteright}Ascenzo, Mark and Deng, Wen-Ling and Ramos, Adela R. and Alfano, James R. and Cartinhour, Samuel and Chatterjee, Arun K. and Delaney, Terrence P. and Lazarowitz, Sondra G. and Martin, Gregory B. and Schneider, David J. and Tang, Xiaoyan and Bender, Carol L. and White, Owen and Fraser, Claire M. and Collmer, Alan} } @article {38458, title = {Reduction of Cholera in Bangladeshi Villages by Simple Filtration}, journal = {Proceedings of the National Academy of SciencesPNASProceedings of the National Academy of SciencesPNAS}, volume = {100}, year = {2003}, type = {10.1073/pnas.0237386100}, abstract = {Based on results of ecological studies demonstrating that Vibrio cholerae, the etiological agent of epidemic cholera, is commensal to zooplankton, notably copepods, a simple filtration procedure was developed whereby zooplankton, most phytoplankton, and particulates >20 μm were removed from water before use. Effective deployment of this filtration procedure, from September 1999 through July 2002 in 65 villages of rural Bangladesh, of which the total population for the entire study comprised ≈133,000 individuals, yielded a 48\% reduction in cholera (P < 0.005) compared with the control.}, isbn = {0027-8424, 1091-6490}, author = {Rita R. Colwell and Huq, Anwar and M. Sirajul Islam and K. M. A. Aziz and Yunus, M. and N. Huda Khan and A. Mahmud and Sack, R. Bradley and Nair, G. B. and J. Chakraborty and Sack, David A. and E. Russek-Cohen} } @article {49687, title = {The draft genome of Ciona intestinalis: insights into chordate and vertebrate origins.}, journal = {Science}, volume = {298}, year = {2002}, month = {2002 Dec 13}, pages = {2157-67}, abstract = {

The first chordates appear in the fossil record at the time of the Cambrian explosion, nearly 550 million years ago. The modern ascidian tadpole represents a plausible approximation to these ancestral chordates. To illuminate the origins of chordate and vertebrates, we generated a draft of the protein-coding portion of the genome of the most studied ascidian, Ciona intestinalis. The Ciona genome contains approximately 16,000 protein-coding genes, similar to the number in other invertebrates, but only half that found in vertebrates. Vertebrate gene families are typically found in simplified form in Ciona, suggesting that ascidians contain the basic ancestral complement of genes involved in cell signaling and development. The ascidian genome has also acquired a number of lineage-specific innovations, including a group of genes engaged in cellulose metabolism that are related to those in bacteria and fungi.

}, keywords = {Alleles, Animals, Apoptosis, Base Sequence, Cellulose, Central Nervous System, Ciona intestinalis, Computational Biology, Endocrine System, Gene Dosage, Gene Duplication, genes, Genes, Homeobox, Genome, Heart, Immunity, Molecular Sequence Data, Multigene Family, Muscle Proteins, Organizers, Embryonic, Phylogeny, Polymorphism, Genetic, Proteins, Sequence Analysis, DNA, Sequence Homology, Nucleic Acid, Species Specificity, Thyroid Gland, Urochordata, Vertebrates}, issn = {1095-9203}, doi = {10.1126/science.1080049}, author = {Dehal, Paramvir and Satou, Yutaka and Campbell, Robert K and Chapman, Jarrod and Degnan, Bernard and De Tomaso, Anthony and Davidson, Brad and Di Gregorio, Anna and Gelpke, Maarten and Goodstein, David M and Harafuji, Naoe and Hastings, Kenneth E M and Ho, Isaac and Hotta, Kohji and Huang, Wayne and Kawashima, Takeshi and Lemaire, Patrick and Martinez, Diego and Meinertzhagen, Ian A and Necula, Simona and Nonaka, Masaru and Putnam, Nik and Rash, Sam and Saiga, Hidetoshi and Satake, Masanobu and Terry, Astrid and Yamada, Lixy and Wang, Hong-Gang and Awazu, Satoko and Azumi, Kaoru and Boore, Jeffrey and Branno, Margherita and Chin-Bow, Stephen and DeSantis, Rosaria and Doyle, Sharon and Francino, Pilar and Keys, David N and Haga, Shinobu and Hayashi, Hiroko and Hino, Kyosuke and Imai, Kaoru S and Inaba, Kazuo and Kano, Shungo and Kobayashi, Kenji and Kobayashi, Mari and Lee, Byung-In and Makabe, Kazuhiro W and Manohar, Chitra and Matassi, Giorgio and Medina, Monica and Mochizuki, Yasuaki and Mount, Steve and Morishita, Tomomi and Miura, Sachiko and Nakayama, Akie and Nishizaka, Satoko and Nomoto, Hisayo and Ohta, Fumiko and Oishi, Kazuko and Rigoutsos, Isidore and Sano, Masako and Sasaki, Akane and Sasakura, Yasunori and Shoguchi, Eiichi and Shin-i, Tadasu and Spagnuolo, Antoinetta and Stainier, Didier and Suzuki, Miho M and Tassy, Olivier and Takatori, Naohito and Tokuoka, Miki and Yagi, Kasumi and Yoshizaki, Fumiko and Wada, Shuichi and Zhang, Cindy and Hyatt, P Douglas and Larimer, Frank and Detter, Chris and Doggett, Norman and Glavina, Tijana and Hawkins, Trevor and Richardson, Paul and Lucas, Susan and Kohara, Yuji and Levine, Michael and Satoh, Nori and Rokhsar, Daniel S} } @article {38295, title = {Genome sequence and comparative analysis of the model rodent malaria parasite Plasmodium yoelii yoelii}, journal = {NatureNature}, volume = {419}, year = {2002}, type = {10.1038/nature01099}, abstract = {Species of malaria parasite that infect rodents have long been used as models for malaria disease research. Here we report the whole-genome shotgun sequence of one species, Plasmodium yoelii yoelii, and comparative studies with the genome of the human malaria parasite Plasmodium falciparum clone 3D7. A synteny map of 2,212 P. y. yoelii contiguous DNA sequences (contigs) aligned to 14 P. falciparum chromosomes reveals marked conservation of gene synteny within the body of each chromosome. Of about 5,300 P. falciparum genes, more than 3,300 P. y. yoelii orthologues of predominantly metabolic function were identified. Over 800 copies of a variant antigen gene located in subtelomeric regions were found. This is the first genome sequence of a model eukaryotic parasite, and it provides insight into the use of such systems in the modelling of Plasmodium biology and disease.}, isbn = {0028-0836}, author = {Carlton, Jane M. and Angiuoli, Samuel V. and Suh, Bernard B. and Kooij, Taco W. and Pertea, Mihaela and Silva, Joana C. and Ermolaeva, Maria D. and Allen, Jonathan E. and J. Selengut and Koo, Hean L. and Peterson, Jeremy D. and M. Pop and Kosack, Daniel S. and Shumway, Martin F. and Bidwell, Shelby L. and Shallom, Shamira J. and Aken, Susan E. van and Riedmuller, Steven B. and Feldblyum, Tamara V. and Cho, Jennifer K. and Quackenbush, John and Sedegah, Martha and Shoaibi, Azadeh and Cummings, Leda M. and Florens, Laurence and Yates, John R. and Raine, J. Dale and Sinden, Robert E. and Harris, Michael A. and Cunningham, Deirdre A. and Preiser, Peter R. and Bergman, Lawrence W. and Vaidya, Akhil B. and Lin, Leo H. van and Janse, Chris J. and Waters, Andrew P. and Smith, Hamilton O. and White, Owen R. and Salzberg, Steven L. and Venter, J. Craig and Fraser, Claire M. and Hoffman, Stephen L. and Gardner, Malcolm J. and Carucci, Daniel J.} } @article {38317, title = {Genomic profiles of clinical and environmental isolates of Vibrio cholerae O1 in cholera-endemic areas of Bangladesh}, journal = {Proceedings of the National Academy of SciencesProceedings of the National Academy of Sciences}, volume = {99}, year = {2002}, type = {10.1073/pnas.192426499}, abstract = {Diversity, relatedness, and ecological interactions of toxigenic Vibrio cholerae O1 populations in two distinctive habitats, the human intestine and the aquatic environment, were analyzed. Twenty environmental isolates and 42 clinical isolates were selected for study by matching serotype, geographic location of isolation in Bangladesh, and season of isolation. Genetic profiling was done by enterobacterial repetitive intergenic consensus sequence{\textendash}PCR, optimized for profiling by using the fully sequenced V. cholerae El Tor N16961 genome. Five significant clonal clusters of haplotypes were found from 57 electrophoretic types. Isolates from different areas or habitats intermingled in two of the five significant clusters. Frequencies of haplotypes differed significantly only between the environmental populations (exact test; P < 0.05). Analysis of molecular variance yielded a population genetic structure reflecting the differentiating effects of geographic area, habitat, and sampling time. Although a parameter confounding the latter differences explained 9\% of the total molecular variance in the entire population (P < 0.01), the net effect of habitat and time could not be separated because of the small number of environmental isolates included in the study. Five subpopulations from a single area were determined, and from these we were able to estimate a relative differentiating effect of habitat, which was small compared with the effect of temporal change. In conclusion, the resulting population structure supports the hypothesis that spatial and temporal fluctuations in the composition of toxigenic V. cholerae populations in the aquatic environment can cause shifts in the dynamics of the disease.}, isbn = {0027-8424, 1091-6490}, author = {Zo, Y. G. and Rivera, I. N. G. and E. Russek-Cohen and Islam, M. S. and Siddique, A. K. and Yunus, M. and Sack, R. B. and Huq, A. and Rita R. Colwell} } @article {49692, title = {The genome sequence of Drosophila melanogaster.}, journal = {Science}, volume = {287}, year = {2000}, month = {2000 Mar 24}, pages = {2185-95}, abstract = {

The fly Drosophila melanogaster is one of the most intensively studied organisms in biology and serves as a model system for the investigation of many developmental and cellular processes common to higher eukaryotes, including humans. We have determined the nucleotide sequence of nearly all of the approximately 120-megabase euchromatic portion of the Drosophila genome using a whole-genome shotgun sequencing strategy supported by extensive clone-based sequence and a high-quality bacterial artificial chromosome physical map. Efforts are under way to close the remaining gaps; however, the sequence is of sufficient accuracy and contiguity to be declared substantially complete and to support an initial analysis of genome structure and preliminary gene annotation and interpretation. The genome encodes approximately 13,600 genes, somewhat fewer than the smaller Caenorhabditis elegans genome, but with comparable functional diversity.

}, keywords = {Animals, Biological Transport, Chromatin, Cloning, Molecular, Computational Biology, Contig Mapping, Cytochrome P-450 Enzyme System, DNA Repair, DNA Replication, Drosophila melanogaster, Euchromatin, Gene Library, Genes, Insect, Genome, Heterochromatin, Insect Proteins, Nuclear Proteins, Protein Biosynthesis, Sequence Analysis, DNA, Transcription, Genetic}, issn = {0036-8075}, author = {Adams, M D and Celniker, S E and Holt, R A and Evans, C A and Gocayne, J D and Amanatides, P G and Scherer, S E and Li, P W and Hoskins, R A and Galle, R F and George, R A and Lewis, S E and Richards, S and Ashburner, M and Henderson, S N and Sutton, G G and Wortman, J R and Yandell, M D and Zhang, Q and Chen, L X and Brandon, R C and Rogers, Y H and Blazej, R G and Champe, M and Pfeiffer, B D and Wan, K H and Doyle, C and Baxter, E G and Helt, G and Nelson, C R and Gabor, G L and Abril, J F and Agbayani, A and An, H J and Andrews-Pfannkoch, C and Baldwin, D and Ballew, R M and Basu, A and Baxendale, J and Bayraktaroglu, L and Beasley, E M and Beeson, K Y and Benos, P V and Berman, B P and Bhandari, D and Bolshakov, S and Borkova, D and Botchan, M R and Bouck, J and Brokstein, P and Brottier, P and Burtis, K C and Busam, D A and Butler, H and Cadieu, E and Center, A and Chandra, I and Cherry, J M and Cawley, S and Dahlke, C and Davenport, L B and Davies, P and de Pablos, B and Delcher, A and Deng, Z and Mays, A D and Dew, I and Dietz, S M and Dodson, K and Doup, L E and Downes, M and Dugan-Rocha, S and Dunkov, B C and Dunn, P and Durbin, K J and Evangelista, C C and Ferraz, C and Ferriera, S and Fleischmann, W and Fosler, C and Gabrielian, A E and Garg, N S and Gelbart, W M and Glasser, K and Glodek, A and Gong, F and Gorrell, J H and Gu, Z and Guan, P and Harris, M and Harris, N L and Harvey, D and Heiman, T J and Hernandez, J R and Houck, J and Hostin, D and Houston, K A and Howland, T J and Wei, M H and Ibegwam, C and Jalali, M and Kalush, F and Karpen, G H and Ke, Z and Kennison, J A and Ketchum, K A and Kimmel, B E and Kodira, C D and Kraft, C and Kravitz, S and Kulp, D and Lai, Z and Lasko, P and Lei, Y and Levitsky, A A and Li, J and Li, Z and Liang, Y and Lin, X and Liu, X and Mattei, B and McIntosh, T C and McLeod, M P and McPherson, D and Merkulov, G and Milshina, N V and Mobarry, C and Morris, J and Moshrefi, A and Mount, S M and Moy, M and Murphy, B and Murphy, L and Muzny, D M and Nelson, D L and Nelson, D R and Nelson, K A and Nixon, K and Nusskern, D R and Pacleb, J M and Palazzolo, M and Pittman, G S and Pan, S and Pollard, J and Puri, V and Reese, M G and Reinert, K and Remington, K and Saunders, R D and Scheeler, F and Shen, H and Shue, B C and Sid{\'e}n-Kiamos, I and Simpson, M and Skupski, M P and Smith, T and Spier, E and Spradling, A C and Stapleton, M and Strong, R and Sun, E and Svirskas, R and Tector, C and Turner, R and Venter, E and Wang, A H and Wang, X and Wang, Z Y and Wassarman, D A and Weinstock, G M and Weissenbach, J and Williams, S M and Worley, K C and Wu, D and Yang, S and Yao, Q A and Ye, J and Yeh, R F and Zaveri, J S and Zhan, M and Zhang, G and Zhao, Q and Zheng, L and Zheng, X H and Zhong, F N and Zhong, W and Zhou, X and Zhu, S and Zhu, X and Smith, H O and Gibbs, R A and Myers, E W and Rubin, G M and Venter, J C} }