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Comprehensive subspecies identification of 175 nontuberculous mycobacteria species based on 7547 genomic profiles
The prevalence of nontuberculous mycobacteria (NTM) pulmonary diseases has been increasing worldwide. NTM consist of approximately 200 species and distinguishing between them at the subspecies level is critical to treatment. In this study, we sequenced 63 NTM genomes, 27 of which were newly determin...
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Published in: | Emerging microbes & infections 2019-01, Vol.8 (1), p.1043-1053 |
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creator | Matsumoto, Yuki Kinjo, Takeshi Motooka, Daisuke Nabeya, Daijiro Jung, Nicolas Uechi, Kohei Horii, Toshihiro Iida, Tetsuya Fujita, Jiro Nakamura, Shota |
description | The prevalence of nontuberculous mycobacteria (NTM) pulmonary diseases has been increasing worldwide. NTM consist of approximately 200 species and distinguishing between them at the subspecies level is critical to treatment. In this study, we sequenced 63 NTM genomes, 27 of which were newly determined, by hybrid assembly using sequencers from Illumina and Oxford Nanopore Technologies (ONT). This analysis expanded the available genomic data to 175 NTM species and redefined their subgenus classification. We also developed a novel multi-locus sequence typing (MLST) database based on 184 genes from 7547 assemblies and an identification software, mlstverse, which can also be used for detecting other bacteria given a suitable MLST database. This method showed the highest sensitivity and specificity amongst conventional methods and demonstrated the capacity for rapid detection of NTM, 10 min of sequencing of the ONT MinION being sufficient. Application of this methodology could improve disease epidemiology and increase the cure rates of NTM diseases. |
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NTM consist of approximately 200 species and distinguishing between them at the subspecies level is critical to treatment. In this study, we sequenced 63 NTM genomes, 27 of which were newly determined, by hybrid assembly using sequencers from Illumina and Oxford Nanopore Technologies (ONT). This analysis expanded the available genomic data to 175 NTM species and redefined their subgenus classification. We also developed a novel multi-locus sequence typing (MLST) database based on 184 genes from 7547 assemblies and an identification software, mlstverse, which can also be used for detecting other bacteria given a suitable MLST database. This method showed the highest sensitivity and specificity amongst conventional methods and demonstrated the capacity for rapid detection of NTM, 10 min of sequencing of the ONT MinION being sufficient. Application of this methodology could improve disease epidemiology and increase the cure rates of NTM diseases.</description><identifier>ISSN: 2222-1751</identifier><identifier>EISSN: 2222-1751</identifier><identifier>DOI: 10.1080/22221751.2019.1637702</identifier><identifier>PMID: 31287781</identifier><language>eng</language><publisher>United States: Taylor & Francis</publisher><subject>comparative genomics ; multi-locus sequence typing ; next-generation sequencing ; Nontuberculous mycobacteria ; pulmonary diseases</subject><ispartof>Emerging microbes & infections, 2019-01, Vol.8 (1), p.1043-1053</ispartof><rights>2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd 2019</rights><rights>2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd. 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Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd 2019 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c628t-e51882633e79961e3a3f1d219e4c74cdb3eccb56326da01cf7aeaa97b7f32cd33</citedby><cites>FETCH-LOGICAL-c628t-e51882633e79961e3a3f1d219e4c74cdb3eccb56326da01cf7aeaa97b7f32cd33</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/PMC6691804/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2427525866?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27479,27901,27902,36989,36990,44566,53766,53768,59116,59117</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31287781$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Matsumoto, Yuki</creatorcontrib><creatorcontrib>Kinjo, Takeshi</creatorcontrib><creatorcontrib>Motooka, Daisuke</creatorcontrib><creatorcontrib>Nabeya, Daijiro</creatorcontrib><creatorcontrib>Jung, Nicolas</creatorcontrib><creatorcontrib>Uechi, Kohei</creatorcontrib><creatorcontrib>Horii, Toshihiro</creatorcontrib><creatorcontrib>Iida, Tetsuya</creatorcontrib><creatorcontrib>Fujita, Jiro</creatorcontrib><creatorcontrib>Nakamura, Shota</creatorcontrib><title>Comprehensive subspecies identification of 175 nontuberculous mycobacteria species based on 7547 genomic profiles</title><title>Emerging microbes & infections</title><addtitle>Emerg Microbes Infect</addtitle><description>The prevalence of nontuberculous mycobacteria (NTM) pulmonary diseases has been increasing worldwide. NTM consist of approximately 200 species and distinguishing between them at the subspecies level is critical to treatment. In this study, we sequenced 63 NTM genomes, 27 of which were newly determined, by hybrid assembly using sequencers from Illumina and Oxford Nanopore Technologies (ONT). This analysis expanded the available genomic data to 175 NTM species and redefined their subgenus classification. We also developed a novel multi-locus sequence typing (MLST) database based on 184 genes from 7547 assemblies and an identification software, mlstverse, which can also be used for detecting other bacteria given a suitable MLST database. This method showed the highest sensitivity and specificity amongst conventional methods and demonstrated the capacity for rapid detection of NTM, 10 min of sequencing of the ONT MinION being sufficient. Application of this methodology could improve disease epidemiology and increase the cure rates of NTM diseases.</description><subject>comparative genomics</subject><subject>multi-locus sequence typing</subject><subject>next-generation sequencing</subject><subject>Nontuberculous mycobacteria</subject><subject>pulmonary diseases</subject><issn>2222-1751</issn><issn>2222-1751</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks1uEzEUhUcIRKvSRwCNxIZNgv_t2SBQBG2lSmxgbdme69TRjJ3aM63y9jgkqVoWeGPr3u8c21enad5jtMRIoc-kLiw5XhKEuyUWVEpEXjXn-_pi33j97HzWXJayQXVJJBhmb5sziomSUuHz5n6Vxm2GO4glPEBbZlu24AKUNvQQp-CDM1NIsU2-rWZtTHGaLWQ3D2ku7bhzyRo3QQ6mPSmtKdC3VSM5k-0aYhqDa7c5-TBAede88WYocHncL5rfP77_Wl0vbn9e3ay-3S6cIGpaAMdKEUEpyK4TGKihHvcEd8CcZK63FJyzXFAieoOw89KAMZ200lPiekovmpuDb5_MRm9zGE3e6WSC_ltIea1NnoIbQHuFJWMMWwmKUassckQSTruOY-s6VL2-HLy2sx2hd3Uy2QwvTF92YrjT6_SgheiwQqwafDoa5HQ_Q5n0GIqDYTAR6hw1IZyzCrM9-vEfdJPmHOuoNGFEcsKVEJXiB8rlVEoG__QYjPQ-I_qUEb3PiD5mpOo-PP_Jk-qUiAp8PQAh-pRH85jy0OvJ7IaUfTbRhVLh_97xBwVky7g</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Matsumoto, Yuki</creator><creator>Kinjo, Takeshi</creator><creator>Motooka, Daisuke</creator><creator>Nabeya, Daijiro</creator><creator>Jung, Nicolas</creator><creator>Uechi, Kohei</creator><creator>Horii, Toshihiro</creator><creator>Iida, Tetsuya</creator><creator>Fujita, Jiro</creator><creator>Nakamura, Shota</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><general>Taylor & Francis Group</general><scope>0YH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20190101</creationdate><title>Comprehensive subspecies identification of 175 nontuberculous mycobacteria species based on 7547 genomic profiles</title><author>Matsumoto, Yuki ; 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subjects | comparative genomics multi-locus sequence typing next-generation sequencing Nontuberculous mycobacteria pulmonary diseases |
title | Comprehensive subspecies identification of 175 nontuberculous mycobacteria species based on 7547 genomic profiles |
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