Ecological niche modeling of Bacillus anthracis on three continents: evidence for genetic-ecological divergence?
We modeled the ecological niche of a globally successful Bacillus anthracis sublineage in the United States, Italy and Kazakhstan to better understand the geographic distribution of anthrax and potential associations between regional populations and ecology. Country-specific ecological-niche models...
Gespeichert in:
Veröffentlicht in: | PloS one 2013-08, Vol.8 (8), p.e72451-e72451 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e72451 |
---|---|
container_issue | 8 |
container_start_page | e72451 |
container_title | PloS one |
container_volume | 8 |
creator | Mullins, Jocelyn C Garofolo, Giuliano Van Ert, Matthew Fasanella, Antonio Lukhnova, Larisa Hugh-Jones, Martin E Blackburn, Jason K |
description | We modeled the ecological niche of a globally successful Bacillus anthracis sublineage in the United States, Italy and Kazakhstan to better understand the geographic distribution of anthrax and potential associations between regional populations and ecology. Country-specific ecological-niche models were developed and reciprocally transferred to the other countries to determine if pathogen presence could be accurately predicted on novel landscapes. Native models accurately predicted endemic areas within each country, but transferred models failed to predict known occurrences in the outside countries. While the effects of variable selection and limitations of the genetic data should be considered, results suggest differing ecological associations for the B. anthracis populations within each country and may reflect niche specialization within the sublineage. Our findings provide guidance for developing accurate ecological niche models for this pathogen; models should be developed regionally, on the native landscape, and with consideration to population genetics. Further genomic analysis will improve our understanding of the genetic-ecological dynamics of B. anthracis across these countries and may lead to more refined predictive models for surveillance and proactive vaccination programs. Further studies should evaluate the impact of variable selection of native and transferred models. |
doi_str_mv | 10.1371/journal.pone.0072451 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1430787585</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A478215131</galeid><doaj_id>oai_doaj_org_article_665c258a498742dca92ae24fa8b43c83</doaj_id><sourcerecordid>A478215131</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-db5808f55050781f92ff7f91e05224075bb918db7601fc2a951fa89c67445bc33</originalsourceid><addsrcrecordid>eNqNk01v1DAQhiMEoqXwDxBEQkJw2MUfcexwAJWqwEqVKvF1tRxnnHXltbdxsoJ_j8OmZYN6QD7YHj_zjmfsybKnGC0x5fjNVRg6r9xyGzwsEeKkYPhedowrShYlQfT-wfooexTjFUKMirJ8mB0RWnFOETrOtuc6uNBarVzurV5DvgkNOOvbPJj8g9LWuSHmyvfrLm1iHnyelgC5Dr63Hnwf3-awsw14DbkJXd6Ch97qBfxVbuwOunYk3j_OHhjlIjyZ5pPs-8fzb2efFxeXn1ZnpxcLXVakXzQ1E0gYxhBDXGBTEWO4qTAgRkiBOKvrCoum5iXCRhNVMWyUqHTJi4LVmtKT7Pled-tClFOxosQFTXqcCZaI1Z5ogrqS285uVPdLBmXlH0PoWqm6lIgDWZZMEyZUUQlekEariiggRYpYF1SLMdq7KdpQb6DRqSydcjPR-Ym3a9mGnaS84EhUSeDVJNCF6wFiLzc2anBOeQjDeG8iSCl4KRL64h_07uwmqlUpAetNSHH1KCpPCy4IZpjiRC3voNJoYGPTC4OxyT5zeD1zGH8B_OxbNcQoV1-__D97-WPOvjxg16Bcv47BDb0NPs7BYg_qLsTYgbktMkZybIybasixMeTUGMnt2eED3TrddAL9DYidCDA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1430787585</pqid></control><display><type>article</type><title>Ecological niche modeling of Bacillus anthracis on three continents: evidence for genetic-ecological divergence?</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Mullins, Jocelyn C ; Garofolo, Giuliano ; Van Ert, Matthew ; Fasanella, Antonio ; Lukhnova, Larisa ; Hugh-Jones, Martin E ; Blackburn, Jason K</creator><contributor>Schuch, Raymond</contributor><creatorcontrib>Mullins, Jocelyn C ; Garofolo, Giuliano ; Van Ert, Matthew ; Fasanella, Antonio ; Lukhnova, Larisa ; Hugh-Jones, Martin E ; Blackburn, Jason K ; Schuch, Raymond</creatorcontrib><description>We modeled the ecological niche of a globally successful Bacillus anthracis sublineage in the United States, Italy and Kazakhstan to better understand the geographic distribution of anthrax and potential associations between regional populations and ecology. Country-specific ecological-niche models were developed and reciprocally transferred to the other countries to determine if pathogen presence could be accurately predicted on novel landscapes. Native models accurately predicted endemic areas within each country, but transferred models failed to predict known occurrences in the outside countries. While the effects of variable selection and limitations of the genetic data should be considered, results suggest differing ecological associations for the B. anthracis populations within each country and may reflect niche specialization within the sublineage. Our findings provide guidance for developing accurate ecological niche models for this pathogen; models should be developed regionally, on the native landscape, and with consideration to population genetics. Further genomic analysis will improve our understanding of the genetic-ecological dynamics of B. anthracis across these countries and may lead to more refined predictive models for surveillance and proactive vaccination programs. Further studies should evaluate the impact of variable selection of native and transferred models.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0072451</identifier><identifier>PMID: 23977300</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Anthrax ; Bacillus anthracis ; Bacillus anthracis - genetics ; Continents ; Divergence ; Ecological effects ; Ecological monitoring ; Ecological niches ; Ecology ; Ecosystem ; Epidemiology ; Evolution ; Genetics ; Genomic analysis ; Geographical distribution ; Geography ; Humans ; Immunization ; Italy ; Kazakhstan ; Laboratories ; Landscape ; Livestock ; Mathematical models ; Models, Biological ; National parks ; Niches (Ecology) ; Pathogens ; Phylogeography ; Population genetics ; Populations ; Prediction models ; Regional development ; Sample Size ; Specialization ; Studies ; Surveillance ; United States ; Vaccination ; Variables</subject><ispartof>PloS one, 2013-08, Vol.8 (8), p.e72451-e72451</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Mullins et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Mullins et al 2013 Mullins et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-db5808f55050781f92ff7f91e05224075bb918db7601fc2a951fa89c67445bc33</citedby><cites>FETCH-LOGICAL-c692t-db5808f55050781f92ff7f91e05224075bb918db7601fc2a951fa89c67445bc33</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/PMC3747089/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747089/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2919,23857,27915,27916,53782,53784,79361,79362</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23977300$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Schuch, Raymond</contributor><creatorcontrib>Mullins, Jocelyn C</creatorcontrib><creatorcontrib>Garofolo, Giuliano</creatorcontrib><creatorcontrib>Van Ert, Matthew</creatorcontrib><creatorcontrib>Fasanella, Antonio</creatorcontrib><creatorcontrib>Lukhnova, Larisa</creatorcontrib><creatorcontrib>Hugh-Jones, Martin E</creatorcontrib><creatorcontrib>Blackburn, Jason K</creatorcontrib><title>Ecological niche modeling of Bacillus anthracis on three continents: evidence for genetic-ecological divergence?</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We modeled the ecological niche of a globally successful Bacillus anthracis sublineage in the United States, Italy and Kazakhstan to better understand the geographic distribution of anthrax and potential associations between regional populations and ecology. Country-specific ecological-niche models were developed and reciprocally transferred to the other countries to determine if pathogen presence could be accurately predicted on novel landscapes. Native models accurately predicted endemic areas within each country, but transferred models failed to predict known occurrences in the outside countries. While the effects of variable selection and limitations of the genetic data should be considered, results suggest differing ecological associations for the B. anthracis populations within each country and may reflect niche specialization within the sublineage. Our findings provide guidance for developing accurate ecological niche models for this pathogen; models should be developed regionally, on the native landscape, and with consideration to population genetics. Further genomic analysis will improve our understanding of the genetic-ecological dynamics of B. anthracis across these countries and may lead to more refined predictive models for surveillance and proactive vaccination programs. Further studies should evaluate the impact of variable selection of native and transferred models.</description><subject>Anthrax</subject><subject>Bacillus anthracis</subject><subject>Bacillus anthracis - genetics</subject><subject>Continents</subject><subject>Divergence</subject><subject>Ecological effects</subject><subject>Ecological monitoring</subject><subject>Ecological niches</subject><subject>Ecology</subject><subject>Ecosystem</subject><subject>Epidemiology</subject><subject>Evolution</subject><subject>Genetics</subject><subject>Genomic analysis</subject><subject>Geographical distribution</subject><subject>Geography</subject><subject>Humans</subject><subject>Immunization</subject><subject>Italy</subject><subject>Kazakhstan</subject><subject>Laboratories</subject><subject>Landscape</subject><subject>Livestock</subject><subject>Mathematical models</subject><subject>Models, Biological</subject><subject>National parks</subject><subject>Niches (Ecology)</subject><subject>Pathogens</subject><subject>Phylogeography</subject><subject>Population genetics</subject><subject>Populations</subject><subject>Prediction models</subject><subject>Regional development</subject><subject>Sample Size</subject><subject>Specialization</subject><subject>Studies</subject><subject>Surveillance</subject><subject>United States</subject><subject>Vaccination</subject><subject>Variables</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</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>eNqNk01v1DAQhiMEoqXwDxBEQkJw2MUfcexwAJWqwEqVKvF1tRxnnHXltbdxsoJ_j8OmZYN6QD7YHj_zjmfsybKnGC0x5fjNVRg6r9xyGzwsEeKkYPhedowrShYlQfT-wfooexTjFUKMirJ8mB0RWnFOETrOtuc6uNBarVzurV5DvgkNOOvbPJj8g9LWuSHmyvfrLm1iHnyelgC5Dr63Hnwf3-awsw14DbkJXd6Ch97qBfxVbuwOunYk3j_OHhjlIjyZ5pPs-8fzb2efFxeXn1ZnpxcLXVakXzQ1E0gYxhBDXGBTEWO4qTAgRkiBOKvrCoum5iXCRhNVMWyUqHTJi4LVmtKT7Pled-tClFOxosQFTXqcCZaI1Z5ogrqS285uVPdLBmXlH0PoWqm6lIgDWZZMEyZUUQlekEariiggRYpYF1SLMdq7KdpQb6DRqSydcjPR-Ym3a9mGnaS84EhUSeDVJNCF6wFiLzc2anBOeQjDeG8iSCl4KRL64h_07uwmqlUpAetNSHH1KCpPCy4IZpjiRC3voNJoYGPTC4OxyT5zeD1zGH8B_OxbNcQoV1-__D97-WPOvjxg16Bcv47BDb0NPs7BYg_qLsTYgbktMkZybIybasixMeTUGMnt2eED3TrddAL9DYidCDA</recordid><startdate>20130819</startdate><enddate>20130819</enddate><creator>Mullins, Jocelyn C</creator><creator>Garofolo, Giuliano</creator><creator>Van Ert, Matthew</creator><creator>Fasanella, Antonio</creator><creator>Lukhnova, Larisa</creator><creator>Hugh-Jones, Martin E</creator><creator>Blackburn, Jason K</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>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</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>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130819</creationdate><title>Ecological niche modeling of Bacillus anthracis on three continents: evidence for genetic-ecological divergence?</title><author>Mullins, Jocelyn C ; Garofolo, Giuliano ; Van Ert, Matthew ; Fasanella, Antonio ; Lukhnova, Larisa ; Hugh-Jones, Martin E ; Blackburn, Jason K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-db5808f55050781f92ff7f91e05224075bb918db7601fc2a951fa89c67445bc33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Anthrax</topic><topic>Bacillus anthracis</topic><topic>Bacillus anthracis - genetics</topic><topic>Continents</topic><topic>Divergence</topic><topic>Ecological effects</topic><topic>Ecological monitoring</topic><topic>Ecological niches</topic><topic>Ecology</topic><topic>Ecosystem</topic><topic>Epidemiology</topic><topic>Evolution</topic><topic>Genetics</topic><topic>Genomic analysis</topic><topic>Geographical distribution</topic><topic>Geography</topic><topic>Humans</topic><topic>Immunization</topic><topic>Italy</topic><topic>Kazakhstan</topic><topic>Laboratories</topic><topic>Landscape</topic><topic>Livestock</topic><topic>Mathematical models</topic><topic>Models, Biological</topic><topic>National parks</topic><topic>Niches (Ecology)</topic><topic>Pathogens</topic><topic>Phylogeography</topic><topic>Population genetics</topic><topic>Populations</topic><topic>Prediction models</topic><topic>Regional development</topic><topic>Sample Size</topic><topic>Specialization</topic><topic>Studies</topic><topic>Surveillance</topic><topic>United States</topic><topic>Vaccination</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mullins, Jocelyn C</creatorcontrib><creatorcontrib>Garofolo, Giuliano</creatorcontrib><creatorcontrib>Van Ert, Matthew</creatorcontrib><creatorcontrib>Fasanella, Antonio</creatorcontrib><creatorcontrib>Lukhnova, Larisa</creatorcontrib><creatorcontrib>Hugh-Jones, Martin E</creatorcontrib><creatorcontrib>Blackburn, Jason K</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: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</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>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><collection>Environmental Science Collection</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 one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mullins, Jocelyn C</au><au>Garofolo, Giuliano</au><au>Van Ert, Matthew</au><au>Fasanella, Antonio</au><au>Lukhnova, Larisa</au><au>Hugh-Jones, Martin E</au><au>Blackburn, Jason K</au><au>Schuch, Raymond</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ecological niche modeling of Bacillus anthracis on three continents: evidence for genetic-ecological divergence?</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-08-19</date><risdate>2013</risdate><volume>8</volume><issue>8</issue><spage>e72451</spage><epage>e72451</epage><pages>e72451-e72451</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We modeled the ecological niche of a globally successful Bacillus anthracis sublineage in the United States, Italy and Kazakhstan to better understand the geographic distribution of anthrax and potential associations between regional populations and ecology. Country-specific ecological-niche models were developed and reciprocally transferred to the other countries to determine if pathogen presence could be accurately predicted on novel landscapes. Native models accurately predicted endemic areas within each country, but transferred models failed to predict known occurrences in the outside countries. While the effects of variable selection and limitations of the genetic data should be considered, results suggest differing ecological associations for the B. anthracis populations within each country and may reflect niche specialization within the sublineage. Our findings provide guidance for developing accurate ecological niche models for this pathogen; models should be developed regionally, on the native landscape, and with consideration to population genetics. Further genomic analysis will improve our understanding of the genetic-ecological dynamics of B. anthracis across these countries and may lead to more refined predictive models for surveillance and proactive vaccination programs. Further studies should evaluate the impact of variable selection of native and transferred models.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23977300</pmid><doi>10.1371/journal.pone.0072451</doi><tpages>e72451</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2013-08, Vol.8 (8), p.e72451-e72451 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1430787585 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Anthrax Bacillus anthracis Bacillus anthracis - genetics Continents Divergence Ecological effects Ecological monitoring Ecological niches Ecology Ecosystem Epidemiology Evolution Genetics Genomic analysis Geographical distribution Geography Humans Immunization Italy Kazakhstan Laboratories Landscape Livestock Mathematical models Models, Biological National parks Niches (Ecology) Pathogens Phylogeography Population genetics Populations Prediction models Regional development Sample Size Specialization Studies Surveillance United States Vaccination Variables |
title | Ecological niche modeling of Bacillus anthracis on three continents: evidence for genetic-ecological divergence? |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T07%3A06%3A34IST&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=Ecological%20niche%20modeling%20of%20Bacillus%20anthracis%20on%20three%20continents:%20evidence%20for%20genetic-ecological%20divergence?&rft.jtitle=PloS%20one&rft.au=Mullins,%20Jocelyn%20C&rft.date=2013-08-19&rft.volume=8&rft.issue=8&rft.spage=e72451&rft.epage=e72451&rft.pages=e72451-e72451&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0072451&rft_dat=%3Cgale_plos_%3EA478215131%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=1430787585&rft_id=info:pmid/23977300&rft_galeid=A478215131&rft_doaj_id=oai_doaj_org_article_665c258a498742dca92ae24fa8b43c83&rfr_iscdi=true |