IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase
Abstract Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of g...
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Veröffentlicht in: | Nucleic acids research 2020-01, Vol.48 (D1), p.D422-D430 |
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creator | Palaniappan, Krishnaveni Chen, I-Min A Chu, Ken Ratner, Anna Seshadri, Rekha Kyrpides, Nikos C Ivanova, Natalia N Mouncey, Nigel J |
description | Abstract
Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of genes called biosynthetic gene clusters (BGCs). High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). This update has greatly improved the quality and expanded the types of predicted BGCs compared to the previous version. |
doi_str_mv | 10.1093/nar/gkz932 |
format | Article |
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Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of genes called biosynthetic gene clusters (BGCs). High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). This update has greatly improved the quality and expanded the types of predicted BGCs compared to the previous version.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkz932</identifier><identifier>PMID: 31665416</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Bacteriocins - biosynthesis ; Bacteriocins - genetics ; BASIC BIOLOGICAL SCIENCES ; Biosynthetic Pathways - genetics ; Database Issue ; Databases, Genetic ; Genome, Microbial ; Knowledge Bases ; Metadata ; Metagenome ; Multigene Family ; Secondary Metabolism - genetics ; User-Computer Interface</subject><ispartof>Nucleic acids research, 2020-01, Vol.48 (D1), p.D422-D430</ispartof><rights>Published by Oxford University Press on behalf of Nucleic Acids Research 2019. 2019</rights><rights>Published by Oxford University Press on behalf of Nucleic Acids Research 2019.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-a38719b9aff17ebb76356cc55c529319eec3394a9e4cb8d08ef784b7a5f939ad3</citedby><cites>FETCH-LOGICAL-c435t-a38719b9aff17ebb76356cc55c529319eec3394a9e4cb8d08ef784b7a5f939ad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145673/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145673/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1598,27901,27902,53766,53768</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/nar/gkz932$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31665416$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1661596$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Palaniappan, Krishnaveni</creatorcontrib><creatorcontrib>Chen, I-Min A</creatorcontrib><creatorcontrib>Chu, Ken</creatorcontrib><creatorcontrib>Ratner, Anna</creatorcontrib><creatorcontrib>Seshadri, Rekha</creatorcontrib><creatorcontrib>Kyrpides, Nikos C</creatorcontrib><creatorcontrib>Ivanova, Natalia N</creatorcontrib><creatorcontrib>Mouncey, Nigel J</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><title>IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>Abstract
Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of genes called biosynthetic gene clusters (BGCs). High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). This update has greatly improved the quality and expanded the types of predicted BGCs compared to the previous version.</description><subject>Bacteriocins - biosynthesis</subject><subject>Bacteriocins - genetics</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Biosynthetic Pathways - genetics</subject><subject>Database Issue</subject><subject>Databases, Genetic</subject><subject>Genome, Microbial</subject><subject>Knowledge Bases</subject><subject>Metadata</subject><subject>Metagenome</subject><subject>Multigene Family</subject><subject>Secondary Metabolism - genetics</subject><subject>User-Computer Interface</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kV9LHDEUxYNUdLW--AFKKBREmN1k8mcmPgjrYlfR0pf6HDKZO7ujs8k6yVj00xvZrdQXny7c8-Pcwz0IHVMypkSxiTP9ZPHwoli-g0aUyTzjSuZf0IgwIjJKeLmPDkK4J4RyKvge2mdUSsGpHKG761_zbHoxw09jMSZn2Dg8rGsTAUeP4xJw0ifT2JmAfYMvWh-eXVrH1uI5OMCzbggR-oBvnP_bQb2AygT4inYb0wU42s5DdPfz8s_sKrv9Pb-eTW8zy5mImWFlQVWlTNPQAqqqkExIa4WwIleMKgDLmOJGAbdVWZMSmqLkVWFEo5gyNTtE5xvf9VCtoLbgYm86ve7blemftTet_qi4dqkX_kkXlAtZsGTwfWPgQ2x1sG0Eu7TeObBRpydRoWSCTrZXev84QIh61QYLXWcc-CHonFFS5ISQMqGnG9T2PoQemvcslOi3snQqS2_KSvC3_9O_o__aScCPbbph_ZnRK6HqnDg</recordid><startdate>20200108</startdate><enddate>20200108</enddate><creator>Palaniappan, Krishnaveni</creator><creator>Chen, I-Min A</creator><creator>Chu, Ken</creator><creator>Ratner, Anna</creator><creator>Seshadri, Rekha</creator><creator>Kyrpides, Nikos C</creator><creator>Ivanova, Natalia N</creator><creator>Mouncey, Nigel J</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope></search><sort><creationdate>20200108</creationdate><title>IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase</title><author>Palaniappan, Krishnaveni ; Chen, I-Min A ; Chu, Ken ; Ratner, Anna ; Seshadri, Rekha ; Kyrpides, Nikos C ; Ivanova, Natalia N ; Mouncey, Nigel J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-a38719b9aff17ebb76356cc55c529319eec3394a9e4cb8d08ef784b7a5f939ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bacteriocins - biosynthesis</topic><topic>Bacteriocins - genetics</topic><topic>BASIC BIOLOGICAL SCIENCES</topic><topic>Biosynthetic Pathways - genetics</topic><topic>Database Issue</topic><topic>Databases, Genetic</topic><topic>Genome, Microbial</topic><topic>Knowledge Bases</topic><topic>Metadata</topic><topic>Metagenome</topic><topic>Multigene Family</topic><topic>Secondary Metabolism - genetics</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palaniappan, Krishnaveni</creatorcontrib><creatorcontrib>Chen, I-Min A</creatorcontrib><creatorcontrib>Chu, Ken</creatorcontrib><creatorcontrib>Ratner, Anna</creatorcontrib><creatorcontrib>Seshadri, Rekha</creatorcontrib><creatorcontrib>Kyrpides, Nikos C</creatorcontrib><creatorcontrib>Ivanova, Natalia N</creatorcontrib><creatorcontrib>Mouncey, Nigel J</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Palaniappan, Krishnaveni</au><au>Chen, I-Min A</au><au>Chu, Ken</au><au>Ratner, Anna</au><au>Seshadri, Rekha</au><au>Kyrpides, Nikos C</au><au>Ivanova, Natalia N</au><au>Mouncey, Nigel J</au><aucorp>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2020-01-08</date><risdate>2020</risdate><volume>48</volume><issue>D1</issue><spage>D422</spage><epage>D430</epage><pages>D422-D430</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>Abstract
Microbial secondary metabolism is a reservoir of bioactive compounds of immense biotechnological and biomedical potential. The biosynthetic machinery responsible for the production of these secondary metabolites (SMs) (also called natural products) is often encoded by collocated groups of genes called biosynthetic gene clusters (BGCs). High-throughput genome sequencing of both isolates and metagenomic samples combined with the development of specialized computational workflows is enabling systematic identification of BGCs and the discovery of novel SMs. In order to advance exploration of microbial secondary metabolism and its diversity, we developed the largest publicly available database of predicted BGCs combined with experimentally verified BGCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img.jgi.doe.gov/abc-public). Here we describe the first major content update of the IMG-ABC knowledgebase, since its initial release in 2015, refreshing the BGC prediction pipeline with the latest version of antiSMASH (v5) as well as presenting the data in the context of underlying environmental metadata sourced from GOLD (https://gold.jgi.doe.gov/). This update has greatly improved the quality and expanded the types of predicted BGCs compared to the previous version.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>31665416</pmid><doi>10.1093/nar/gkz932</doi><oa>free_for_read</oa></addata></record> |
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subjects | Bacteriocins - biosynthesis Bacteriocins - genetics BASIC BIOLOGICAL SCIENCES Biosynthetic Pathways - genetics Database Issue Databases, Genetic Genome, Microbial Knowledge Bases Metadata Metagenome Multigene Family Secondary Metabolism - genetics User-Computer Interface |
title | IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase |
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