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  • 1
    Publication Date: 2009-07-17
    Description: Schistosoma mansoni is responsible for the neglected tropical disease schistosomiasis that affects 210 million people in 76 countries. Here we present analysis of the 363 megabase nuclear genome of the blood fluke. It encodes at least 11,809 genes, with an unusual intron size distribution, and new families of micro-exon genes that undergo frequent alternative splicing. As the first sequenced flatworm, and a representative of the Lophotrochozoa, it offers insights into early events in the evolution of the animals, including the development of a body pattern with bilateral symmetry, and the development of tissues into organs. Our analysis has been informed by the need to find new drug targets. The deficits in lipid metabolism that make schistosomes dependent on the host are revealed, and the identification of membrane receptors, ion channels and more than 300 proteases provide new insights into the biology of the life cycle and new targets. Bioinformatics approaches have identified metabolic chokepoints, and a chemogenomic screen has pinpointed schistosome proteins for which existing drugs may be active. The information generated provides an invaluable resource for the research community to develop much needed new control tools for the treatment and eradication of this important and neglected disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2756445/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2756445/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Berriman, Matthew -- Haas, Brian J -- LoVerde, Philip T -- Wilson, R Alan -- Dillon, Gary P -- Cerqueira, Gustavo C -- Mashiyama, Susan T -- Al-Lazikani, Bissan -- Andrade, Luiza F -- Ashton, Peter D -- Aslett, Martin A -- Bartholomeu, Daniella C -- Blandin, Gaelle -- Caffrey, Conor R -- Coghlan, Avril -- Coulson, Richard -- Day, Tim A -- Delcher, Art -- DeMarco, Ricardo -- Djikeng, Appolinaire -- Eyre, Tina -- Gamble, John A -- Ghedin, Elodie -- Gu, Yong -- Hertz-Fowler, Christiane -- Hirai, Hirohisha -- Hirai, Yuriko -- Houston, Robin -- Ivens, Alasdair -- Johnston, David A -- Lacerda, Daniela -- Macedo, Camila D -- McVeigh, Paul -- Ning, Zemin -- Oliveira, Guilherme -- Overington, John P -- Parkhill, Julian -- Pertea, Mihaela -- Pierce, Raymond J -- Protasio, Anna V -- Quail, Michael A -- Rajandream, Marie-Adele -- Rogers, Jane -- Sajid, Mohammed -- Salzberg, Steven L -- Stanke, Mario -- Tivey, Adrian R -- White, Owen -- Williams, David L -- Wortman, Jennifer -- Wu, Wenjie -- Zamanian, Mostafa -- Zerlotini, Adhemar -- Fraser-Liggett, Claire M -- Barrell, Barclay G -- El-Sayed, Najib M -- 086151/Wellcome Trust/United Kingdom -- 5D43TW006580/TW/FIC NIH HHS/ -- 5D43TW007012-03/TW/FIC NIH HHS/ -- AI054711-01A2/AI/NIAID NIH HHS/ -- AI48828/AI/NIAID NIH HHS/ -- R01 GM083873/GM/NIGMS NIH HHS/ -- R01 GM083873-07/GM/NIGMS NIH HHS/ -- R01 GM083873-08/GM/NIGMS NIH HHS/ -- R01 LM006845/LM/NLM NIH HHS/ -- R01 LM006845-08/LM/NLM NIH HHS/ -- R01 LM006845-09/LM/NLM NIH HHS/ -- U01 AI048828/AI/NIAID NIH HHS/ -- U01 AI048828-01/AI/NIAID NIH HHS/ -- U01 AI048828-02/AI/NIAID NIH HHS/ -- WT085775/Z/08/Z/Wellcome Trust/United Kingdom -- England -- Nature. 2009 Jul 16;460(7253):352-8. doi: 10.1038/nature08160.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Cambridge CB10 1SD, UK. mb4@sanger.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19606141" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biological Evolution ; Exons/genetics ; Genes, Helminth/genetics ; Genome, Helminth/*genetics ; Host-Parasite Interactions/genetics ; Introns/genetics ; Molecular Sequence Data ; Physical Chromosome Mapping ; Schistosoma mansoni/drug effects/embryology/*genetics/physiology ; Schistosomiasis mansoni/drug therapy/parasitology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2013-12-29
    Description: The Structure–Function Linkage Database (SFLD, http://sfld.rbvi.ucsf.edu/ ) is a manually curated classification resource describing structure–function relationships for functionally diverse enzyme superfamilies. Members of such superfamilies are diverse in their overall reactions yet share a common ancestor and some conserved active site features associated with conserved functional attributes such as a partial reaction. Thus, despite their different functions, members of these superfamilies ‘look alike’, making them easy to misannotate. To address this complexity and enable rational transfer of functional features to unknowns only for those members for which we have sufficient functional information, we subdivide superfamily members into subgroups using sequence information, and lastly into families, sets of enzymes known to catalyze the same reaction using the same mechanistic strategy. Browsing and searching options in the SFLD provide access to all of these levels. The SFLD offers manually curated as well as automatically classified superfamily sets, both accompanied by search and download options for all hierarchical levels. Additional information includes multiple sequence alignments, tab-separated files of functional and other attributes, and sequence similarity networks. The latter provide a new and intuitively powerful way to visualize functional trends mapped to the context of sequence similarity.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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