A genomic overview of the population structure of Salmonella
For many decades, Salmonella enterica has been subdivided by serological properties into serovars or further subdivided for epidemiological tracing by a variety of diagnostic tests with higher resolution. Recently, it has been proposed that so-called eBurst groups (eBGs) based on the alleles of seve...
Gespeichert in:
Veröffentlicht in: | PLoS genetics 2018-04, Vol.14 (4), p.e1007261-e1007261 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e1007261 |
---|---|
container_issue | 4 |
container_start_page | e1007261 |
container_title | PLoS genetics |
container_volume | 14 |
creator | Alikhan, Nabil-Fareed Zhou, Zhemin Sergeant, Martin J Achtman, Mark |
description | For many decades, Salmonella enterica has been subdivided by serological properties into serovars or further subdivided for epidemiological tracing by a variety of diagnostic tests with higher resolution. Recently, it has been proposed that so-called eBurst groups (eBGs) based on the alleles of seven housekeeping genes (legacy multilocus sequence typing [MLST]) corresponded to natural populations and could replace serotyping. However, this approach lacks the resolution needed for epidemiological tracing and the existence of natural populations had not been independently validated by independent criteria. Here, we describe EnteroBase, a web-based platform that assembles draft genomes from Illumina short reads in the public domain or that are uploaded by users. EnteroBase implements legacy MLST as well as ribosomal gene MLST (rMLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST) and currently contains over 100,000 assembled genomes from Salmonella. It also provides graphical tools for visual interrogation of these genotypes and those based on core single nucleotide polymorphisms (SNPs). eBGs based on legacy MLST are largely consistent with eBGs based on rMLST, thus demonstrating that these correspond to natural populations. rMLST also facilitated the selection of representative genotypes for SNP analyses of the entire breadth of diversity within Salmonella. In contrast, cgMLST provides the resolution needed for epidemiological investigations. These observations show that genomic genotyping, with the assistance of EnteroBase, can be applied at all levels of diversity within the Salmonella genus. |
doi_str_mv | 10.1371/journal.pgen.1007261 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2056434470</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A536809374</galeid><doaj_id>oai_doaj_org_article_cfd10f89779645d58fe21a8de2deea12</doaj_id><sourcerecordid>A536809374</sourcerecordid><originalsourceid>FETCH-LOGICAL-c792t-ca1c46b74730610177279c671b3d6fed0481cb5021a9f21b391cd7e249ea99a03</originalsourceid><addsrcrecordid>eNqVk12L1DAUhoso7rr6D0QLgujFjPlq04AIw-LHwOKCq96GTHra6ZA23SQd9d-bOt1lKnuh9KLl5Hnfk3NOT5I8xWiJKcdvdnZwnTLLvoZuiRHiJMf3klOcZXTBGWL3j75Pkkfe7xCiWSH4w-SEiJxgwtBp8naVRr1tG53aPbh9Az9SW6VhC2lv-8Go0Ngu9cENOgwOxrMrZVrbgTHqcfKgUsbDk-l9lnz78P7r-afFxeXH9fnqYqG5IGGhFdYs33DGKcoxwpwTLnTO8YaWeQUlYgXWmwwRrERFYlRgXXIgTIASQiF6ljw_-PbGejkV7iVBWc4oY3wk1geitGone9e0yv2SVjXyT8C6WioXGm1A6qrEqIp94CJnWZkVFcTERQmkBFCYRK93U7Zh00KpoQtOmZnp_KRrtrK2e5kVRU7FeJlXk4Gz1wP4INvG67FhHdhhvDchQjBCaURf_IXeXd1E1SoW0HSVjXn1aCpXGc0LJChnkVreQcWnhDjeOLGqifGZ4PVMEJkAP0OtBu_l-urLf7Cf_529_D5nXx6xW1AmbL01w_jb-TnIDqB21nsH1e1AMJLjQtx0To4LIaeFiLJnx8O8Fd1sAP0Nn7wDLQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2056434470</pqid></control><display><type>article</type><title>A genomic overview of the population structure of Salmonella</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Alikhan, Nabil-Fareed ; Zhou, Zhemin ; Sergeant, Martin J ; Achtman, Mark</creator><contributor>Casadesús, Josep</contributor><creatorcontrib>Alikhan, Nabil-Fareed ; Zhou, Zhemin ; Sergeant, Martin J ; Achtman, Mark ; Casadesús, Josep</creatorcontrib><description>For many decades, Salmonella enterica has been subdivided by serological properties into serovars or further subdivided for epidemiological tracing by a variety of diagnostic tests with higher resolution. Recently, it has been proposed that so-called eBurst groups (eBGs) based on the alleles of seven housekeeping genes (legacy multilocus sequence typing [MLST]) corresponded to natural populations and could replace serotyping. However, this approach lacks the resolution needed for epidemiological tracing and the existence of natural populations had not been independently validated by independent criteria. Here, we describe EnteroBase, a web-based platform that assembles draft genomes from Illumina short reads in the public domain or that are uploaded by users. EnteroBase implements legacy MLST as well as ribosomal gene MLST (rMLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST) and currently contains over 100,000 assembled genomes from Salmonella. It also provides graphical tools for visual interrogation of these genotypes and those based on core single nucleotide polymorphisms (SNPs). eBGs based on legacy MLST are largely consistent with eBGs based on rMLST, thus demonstrating that these correspond to natural populations. rMLST also facilitated the selection of representative genotypes for SNP analyses of the entire breadth of diversity within Salmonella. In contrast, cgMLST provides the resolution needed for epidemiological investigations. These observations show that genomic genotyping, with the assistance of EnteroBase, can be applied at all levels of diversity within the Salmonella genus.</description><identifier>ISSN: 1553-7404</identifier><identifier>ISSN: 1553-7390</identifier><identifier>EISSN: 1553-7404</identifier><identifier>DOI: 10.1371/journal.pgen.1007261</identifier><identifier>PMID: 29621240</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Archives & records ; Biology and Life Sciences ; Computer and Information Sciences ; Databases, Genetic ; Epidemics ; Epidemiology ; Gene expression ; Genetic aspects ; Genome, Bacterial ; Genomes ; Genotyping ; Health aspects ; Medical schools ; Medicine and Health Sciences ; Multilocus Sequence Typing ; Phylogeny ; Polymorphism, Single Nucleotide ; Population ; Population structure ; Research and Analysis Methods ; Review ; Salmonella ; Salmonella - classification ; Salmonella - genetics ; Salmonella enterica ; Serotyping ; Single-nucleotide polymorphism</subject><ispartof>PLoS genetics, 2018-04, Vol.14 (4), p.e1007261-e1007261</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: . PLoS Genet 14(4): e1007261. https://doi.org/10.1371/journal.pgen.1007261</rights><rights>2018 Alikhan et al 2018 Alikhan et al</rights><rights>2018 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: . PLoS Genet 14(4): e1007261. https://doi.org/10.1371/journal.pgen.1007261</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c792t-ca1c46b74730610177279c671b3d6fed0481cb5021a9f21b391cd7e249ea99a03</citedby><cites>FETCH-LOGICAL-c792t-ca1c46b74730610177279c671b3d6fed0481cb5021a9f21b391cd7e249ea99a03</cites><orcidid>0000-0001-7264-2668 ; 0000-0002-1243-0767 ; 0000-0001-6815-0070</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886390/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5886390/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29621240$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Casadesús, Josep</contributor><creatorcontrib>Alikhan, Nabil-Fareed</creatorcontrib><creatorcontrib>Zhou, Zhemin</creatorcontrib><creatorcontrib>Sergeant, Martin J</creatorcontrib><creatorcontrib>Achtman, Mark</creatorcontrib><title>A genomic overview of the population structure of Salmonella</title><title>PLoS genetics</title><addtitle>PLoS Genet</addtitle><description>For many decades, Salmonella enterica has been subdivided by serological properties into serovars or further subdivided for epidemiological tracing by a variety of diagnostic tests with higher resolution. Recently, it has been proposed that so-called eBurst groups (eBGs) based on the alleles of seven housekeeping genes (legacy multilocus sequence typing [MLST]) corresponded to natural populations and could replace serotyping. However, this approach lacks the resolution needed for epidemiological tracing and the existence of natural populations had not been independently validated by independent criteria. Here, we describe EnteroBase, a web-based platform that assembles draft genomes from Illumina short reads in the public domain or that are uploaded by users. EnteroBase implements legacy MLST as well as ribosomal gene MLST (rMLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST) and currently contains over 100,000 assembled genomes from Salmonella. It also provides graphical tools for visual interrogation of these genotypes and those based on core single nucleotide polymorphisms (SNPs). eBGs based on legacy MLST are largely consistent with eBGs based on rMLST, thus demonstrating that these correspond to natural populations. rMLST also facilitated the selection of representative genotypes for SNP analyses of the entire breadth of diversity within Salmonella. In contrast, cgMLST provides the resolution needed for epidemiological investigations. These observations show that genomic genotyping, with the assistance of EnteroBase, can be applied at all levels of diversity within the Salmonella genus.</description><subject>Archives & records</subject><subject>Biology and Life Sciences</subject><subject>Computer and Information Sciences</subject><subject>Databases, Genetic</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Genome, Bacterial</subject><subject>Genomes</subject><subject>Genotyping</subject><subject>Health aspects</subject><subject>Medical schools</subject><subject>Medicine and Health Sciences</subject><subject>Multilocus Sequence Typing</subject><subject>Phylogeny</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Population</subject><subject>Population structure</subject><subject>Research and Analysis Methods</subject><subject>Review</subject><subject>Salmonella</subject><subject>Salmonella - classification</subject><subject>Salmonella - genetics</subject><subject>Salmonella enterica</subject><subject>Serotyping</subject><subject>Single-nucleotide polymorphism</subject><issn>1553-7404</issn><issn>1553-7390</issn><issn>1553-7404</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqVk12L1DAUhoso7rr6D0QLgujFjPlq04AIw-LHwOKCq96GTHra6ZA23SQd9d-bOt1lKnuh9KLl5Hnfk3NOT5I8xWiJKcdvdnZwnTLLvoZuiRHiJMf3klOcZXTBGWL3j75Pkkfe7xCiWSH4w-SEiJxgwtBp8naVRr1tG53aPbh9Az9SW6VhC2lv-8Go0Ngu9cENOgwOxrMrZVrbgTHqcfKgUsbDk-l9lnz78P7r-afFxeXH9fnqYqG5IGGhFdYs33DGKcoxwpwTLnTO8YaWeQUlYgXWmwwRrERFYlRgXXIgTIASQiF6ljw_-PbGejkV7iVBWc4oY3wk1geitGone9e0yv2SVjXyT8C6WioXGm1A6qrEqIp94CJnWZkVFcTERQmkBFCYRK93U7Zh00KpoQtOmZnp_KRrtrK2e5kVRU7FeJlXk4Gz1wP4INvG67FhHdhhvDchQjBCaURf_IXeXd1E1SoW0HSVjXn1aCpXGc0LJChnkVreQcWnhDjeOLGqifGZ4PVMEJkAP0OtBu_l-urLf7Cf_529_D5nXx6xW1AmbL01w_jb-TnIDqB21nsH1e1AMJLjQtx0To4LIaeFiLJnx8O8Fd1sAP0Nn7wDLQ</recordid><startdate>20180405</startdate><enddate>20180405</enddate><creator>Alikhan, Nabil-Fareed</creator><creator>Zhou, Zhemin</creator><creator>Sergeant, Martin J</creator><creator>Achtman, Mark</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7264-2668</orcidid><orcidid>https://orcid.org/0000-0002-1243-0767</orcidid><orcidid>https://orcid.org/0000-0001-6815-0070</orcidid></search><sort><creationdate>20180405</creationdate><title>A genomic overview of the population structure of Salmonella</title><author>Alikhan, Nabil-Fareed ; Zhou, Zhemin ; Sergeant, Martin J ; Achtman, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c792t-ca1c46b74730610177279c671b3d6fed0481cb5021a9f21b391cd7e249ea99a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Archives & records</topic><topic>Biology and Life Sciences</topic><topic>Computer and Information Sciences</topic><topic>Databases, Genetic</topic><topic>Epidemics</topic><topic>Epidemiology</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>Genome, Bacterial</topic><topic>Genomes</topic><topic>Genotyping</topic><topic>Health aspects</topic><topic>Medical schools</topic><topic>Medicine and Health Sciences</topic><topic>Multilocus Sequence Typing</topic><topic>Phylogeny</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Population</topic><topic>Population structure</topic><topic>Research and Analysis Methods</topic><topic>Review</topic><topic>Salmonella</topic><topic>Salmonella - classification</topic><topic>Salmonella - genetics</topic><topic>Salmonella enterica</topic><topic>Serotyping</topic><topic>Single-nucleotide polymorphism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alikhan, Nabil-Fareed</creatorcontrib><creatorcontrib>Zhou, Zhemin</creatorcontrib><creatorcontrib>Sergeant, Martin J</creatorcontrib><creatorcontrib>Achtman, Mark</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alikhan, Nabil-Fareed</au><au>Zhou, Zhemin</au><au>Sergeant, Martin J</au><au>Achtman, Mark</au><au>Casadesús, Josep</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A genomic overview of the population structure of Salmonella</atitle><jtitle>PLoS genetics</jtitle><addtitle>PLoS Genet</addtitle><date>2018-04-05</date><risdate>2018</risdate><volume>14</volume><issue>4</issue><spage>e1007261</spage><epage>e1007261</epage><pages>e1007261-e1007261</pages><issn>1553-7404</issn><issn>1553-7390</issn><eissn>1553-7404</eissn><abstract>For many decades, Salmonella enterica has been subdivided by serological properties into serovars or further subdivided for epidemiological tracing by a variety of diagnostic tests with higher resolution. Recently, it has been proposed that so-called eBurst groups (eBGs) based on the alleles of seven housekeeping genes (legacy multilocus sequence typing [MLST]) corresponded to natural populations and could replace serotyping. However, this approach lacks the resolution needed for epidemiological tracing and the existence of natural populations had not been independently validated by independent criteria. Here, we describe EnteroBase, a web-based platform that assembles draft genomes from Illumina short reads in the public domain or that are uploaded by users. EnteroBase implements legacy MLST as well as ribosomal gene MLST (rMLST), core genome MLST (cgMLST), and whole genome MLST (wgMLST) and currently contains over 100,000 assembled genomes from Salmonella. It also provides graphical tools for visual interrogation of these genotypes and those based on core single nucleotide polymorphisms (SNPs). eBGs based on legacy MLST are largely consistent with eBGs based on rMLST, thus demonstrating that these correspond to natural populations. rMLST also facilitated the selection of representative genotypes for SNP analyses of the entire breadth of diversity within Salmonella. In contrast, cgMLST provides the resolution needed for epidemiological investigations. These observations show that genomic genotyping, with the assistance of EnteroBase, can be applied at all levels of diversity within the Salmonella genus.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29621240</pmid><doi>10.1371/journal.pgen.1007261</doi><orcidid>https://orcid.org/0000-0001-7264-2668</orcidid><orcidid>https://orcid.org/0000-0002-1243-0767</orcidid><orcidid>https://orcid.org/0000-0001-6815-0070</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1553-7404 |
ispartof | PLoS genetics, 2018-04, Vol.14 (4), p.e1007261-e1007261 |
issn | 1553-7404 1553-7390 1553-7404 |
language | eng |
recordid | cdi_plos_journals_2056434470 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | Archives & records Biology and Life Sciences Computer and Information Sciences Databases, Genetic Epidemics Epidemiology Gene expression Genetic aspects Genome, Bacterial Genomes Genotyping Health aspects Medical schools Medicine and Health Sciences Multilocus Sequence Typing Phylogeny Polymorphism, Single Nucleotide Population Population structure Research and Analysis Methods Review Salmonella Salmonella - classification Salmonella - genetics Salmonella enterica Serotyping Single-nucleotide polymorphism |
title | A genomic overview of the population structure of Salmonella |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T22%3A54%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20genomic%20overview%20of%20the%20population%20structure%20of%20Salmonella&rft.jtitle=PLoS%20genetics&rft.au=Alikhan,%20Nabil-Fareed&rft.date=2018-04-05&rft.volume=14&rft.issue=4&rft.spage=e1007261&rft.epage=e1007261&rft.pages=e1007261-e1007261&rft.issn=1553-7404&rft.eissn=1553-7404&rft_id=info:doi/10.1371/journal.pgen.1007261&rft_dat=%3Cgale_plos_%3EA536809374%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2056434470&rft_id=info:pmid/29621240&rft_galeid=A536809374&rft_doaj_id=oai_doaj_org_article_cfd10f89779645d58fe21a8de2deea12&rfr_iscdi=true |