Construction of High Density Sweet Cherry (Prunus avium L.) Linkage Maps Using Microsatellite Markers and SNPs Detected by Genotyping-by-Sequencing (GBS)
Linkage maps are valuable tools in genetic and genomic studies. For sweet cherry, linkage maps have been constructed using mainly microsatellite markers (SSRs) and, recently, using single nucleotide polymorphism markers (SNPs) from a cherry 6K SNP array. Genotyping-by-sequencing (GBS), a new methodo...
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| description | Linkage maps are valuable tools in genetic and genomic studies. For sweet cherry, linkage maps have been constructed using mainly microsatellite markers (SSRs) and, recently, using single nucleotide polymorphism markers (SNPs) from a cherry 6K SNP array. Genotyping-by-sequencing (GBS), a new methodology based on high-throughput sequencing, holds great promise for identification of high number of SNPs and construction of high density linkage maps. In this study, GBS was used to identify SNPs from an intra-specific sweet cherry cross. A total of 8,476 high quality SNPs were selected for mapping. The physical position for each SNP was determined using the peach genome, Peach v1.0, as reference, and a homogeneous distribution of markers along the eight peach scaffolds was obtained. On average, 65.6% of the SNPs were present in genic regions and 49.8% were located in exonic regions. In addition to the SNPs, a group of SSRs was also used for construction of linkage maps. Parental and consensus high density maps were constructed by genotyping 166 siblings from a 'Rainier' x 'Rivedel' (Ra x Ri) cross. Using Ra x Ri population, 462, 489 and 985 markers were mapped into eight linkage groups in 'Rainier', 'Rivedel' and the Ra x Ri map, respectively, with 80% of mapped SNPs located in genic regions. Obtained maps spanned 549.5, 582.6 and 731.3 cM for 'Rainier', 'Rivedel' and consensus maps, respectively, with an average distance of 1.2 cM between adjacent markers for both 'Rainier' and 'Rivedel' maps and of 0.7 cM for Ra x Ri map. High synteny and co-linearity was observed between obtained maps and with Peach v1.0. These new high density linkage maps provide valuable information on the sweet cherry genome, and serve as the basis for identification of QTLs and genes relevant for the breeding of the species. |
| doi_str_mv | 10.1371/journal.pone.0127750 |
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Linkage Maps Using Microsatellite Markers and SNPs Detected by Genotyping-by-Sequencing (GBS)</title><source>Public Library of Science (PLoS) Journals Open Access</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Guajardo, Verónica ; Solís, Simón ; Sagredo, Boris ; Gainza, Felipe ; Muñoz, Carlos ; Gasic, Ksenija ; Hinrichsen, Patricio</creator><creatorcontrib>Guajardo, Verónica ; Solís, Simón ; Sagredo, Boris ; Gainza, Felipe ; Muñoz, Carlos ; Gasic, Ksenija ; Hinrichsen, Patricio</creatorcontrib><description>Linkage maps are valuable tools in genetic and genomic studies. For sweet cherry, linkage maps have been constructed using mainly microsatellite markers (SSRs) and, recently, using single nucleotide polymorphism markers (SNPs) from a cherry 6K SNP array. Genotyping-by-sequencing (GBS), a new methodology based on high-throughput sequencing, holds great promise for identification of high number of SNPs and construction of high density linkage maps. In this study, GBS was used to identify SNPs from an intra-specific sweet cherry cross. A total of 8,476 high quality SNPs were selected for mapping. The physical position for each SNP was determined using the peach genome, Peach v1.0, as reference, and a homogeneous distribution of markers along the eight peach scaffolds was obtained. On average, 65.6% of the SNPs were present in genic regions and 49.8% were located in exonic regions. In addition to the SNPs, a group of SSRs was also used for construction of linkage maps. Parental and consensus high density maps were constructed by genotyping 166 siblings from a 'Rainier' x 'Rivedel' (Ra x Ri) cross. Using Ra x Ri population, 462, 489 and 985 markers were mapped into eight linkage groups in 'Rainier', 'Rivedel' and the Ra x Ri map, respectively, with 80% of mapped SNPs located in genic regions. Obtained maps spanned 549.5, 582.6 and 731.3 cM for 'Rainier', 'Rivedel' and consensus maps, respectively, with an average distance of 1.2 cM between adjacent markers for both 'Rainier' and 'Rivedel' maps and of 0.7 cM for Ra x Ri map. High synteny and co-linearity was observed between obtained maps and with Peach v1.0. These new high density linkage maps provide valuable information on the sweet cherry genome, and serve as the basis for identification of QTLs and genes relevant for the breeding of the species.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0127750</identifier><identifier>PMID: 26011256</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Bioinformatics ; Breeding ; Chromosome Mapping - methods ; Chromosome Segregation - genetics ; Construction ; Cultivars ; Density ; Deoxyribonucleic acid ; DNA ; DNA methylation ; Efficiency ; Families & family life ; Gene loci ; Gene mapping ; Gene sequencing ; Genes, Plant ; Genetic Linkage ; Genetic markers ; Genetics ; Genomes ; Genomics ; Genotyping ; Genotyping Techniques - methods ; Germplasm ; Haplotypes ; Linearity ; Markers ; Microsatellite Repeats - genetics ; Microsatellites ; Next-generation sequencing ; Physical Chromosome Mapping ; Polymorphism ; Polymorphism, Single Nucleotide - genetics ; Population ; Prunus avium ; Prunus avium - genetics ; Quantitative trait loci ; Scaffolds ; Sequence Analysis, DNA - methods ; Single-nucleotide polymorphism ; Synteny</subject><ispartof>PloS one, 2015-05, Vol.10 (5), p.e0127750-e0127750</ispartof><rights>2015 Guajardo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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>2015 Guajardo et al 2015 Guajardo et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-5bb3028ba3a2e79099264ac31c9b19bbab56b5b2f9b9f6b6694efa134ac954143</citedby><cites>FETCH-LOGICAL-c592t-5bb3028ba3a2e79099264ac31c9b19bbab56b5b2f9b9f6b6694efa134ac954143</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/PMC4444190/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444190/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26011256$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Guajardo, Verónica</creatorcontrib><creatorcontrib>Solís, Simón</creatorcontrib><creatorcontrib>Sagredo, Boris</creatorcontrib><creatorcontrib>Gainza, Felipe</creatorcontrib><creatorcontrib>Muñoz, Carlos</creatorcontrib><creatorcontrib>Gasic, Ksenija</creatorcontrib><creatorcontrib>Hinrichsen, Patricio</creatorcontrib><title>Construction of High Density Sweet Cherry (Prunus avium L.) Linkage Maps Using Microsatellite Markers and SNPs Detected by Genotyping-by-Sequencing (GBS)</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Linkage maps are valuable tools in genetic and genomic studies. For sweet cherry, linkage maps have been constructed using mainly microsatellite markers (SSRs) and, recently, using single nucleotide polymorphism markers (SNPs) from a cherry 6K SNP array. Genotyping-by-sequencing (GBS), a new methodology based on high-throughput sequencing, holds great promise for identification of high number of SNPs and construction of high density linkage maps. In this study, GBS was used to identify SNPs from an intra-specific sweet cherry cross. A total of 8,476 high quality SNPs were selected for mapping. The physical position for each SNP was determined using the peach genome, Peach v1.0, as reference, and a homogeneous distribution of markers along the eight peach scaffolds was obtained. 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These new high density linkage maps provide valuable information on the sweet cherry genome, and serve as the basis for identification of QTLs and genes relevant for the breeding of the species.</description><subject>Bioinformatics</subject><subject>Breeding</subject><subject>Chromosome Mapping - methods</subject><subject>Chromosome Segregation - genetics</subject><subject>Construction</subject><subject>Cultivars</subject><subject>Density</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>Efficiency</subject><subject>Families & family life</subject><subject>Gene loci</subject><subject>Gene mapping</subject><subject>Gene sequencing</subject><subject>Genes, Plant</subject><subject>Genetic Linkage</subject><subject>Genetic markers</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Genotyping</subject><subject>Genotyping Techniques - methods</subject><subject>Germplasm</subject><subject>Haplotypes</subject><subject>Linearity</subject><subject>Markers</subject><subject>Microsatellite Repeats - genetics</subject><subject>Microsatellites</subject><subject>Next-generation sequencing</subject><subject>Physical Chromosome Mapping</subject><subject>Polymorphism</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Population</subject><subject>Prunus avium</subject><subject>Prunus avium - genetics</subject><subject>Quantitative trait loci</subject><subject>Scaffolds</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Single-nucleotide polymorphism</subject><subject>Synteny</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUs1uEzEYXCEQLYU3QGCJS3rY4J-1d31BggBppRQqhZ4t2_Embjd2sL1F-yi8LV6SVi3CF1v-ZsbzfZ6ieI3gFJEavb_2fXCym-68M1OIcF1T-KQ4RpzgkmFInj44HxUvYryGkJKGsefFEWYQIUzZcfF75l1ModfJegd8C87segM-GxdtGsDylzEJzDYmhAFMLkPv-gjkre23YDE9BQvrbuTagAu5i-AqWrcGF1YHH2UyXWfTWAk3JmSOW4Hlt8uYlZPRyayAGsDcOJ-GXaaVaiiX5mdvnB5FJvNPy9OXxbNWdtG8OuwnxdXXLz9mZ-Xi-_x89nFRaspxKqlSBOJGSSKxqTnkHLNKaoI0V4grJRVliirccsVbphjjlWklIhnDaYUqclK83evuOh_FYapRINYQUkPWjIjzPWLl5bXYBbuVYRBeWvH3woe1kCFZ3RlBaoUpYq3SVVMppZpWtpDW2V5FlKYya304vNarrVlp41KQ3SPRxxVnN2Ltb0WVF-IwC0wOAsHngcUktjbqPG7pjO_3vmtKqxpl6Lt_oP_vrtqjxo-LwbT3ZhAUY9LuWGJMmjgkLdPePGzknnQXLfIHlCzS_Q</recordid><startdate>20150526</startdate><enddate>20150526</enddate><creator>Guajardo, Verónica</creator><creator>Solís, Simón</creator><creator>Sagredo, Boris</creator><creator>Gainza, Felipe</creator><creator>Muñoz, Carlos</creator><creator>Gasic, Ksenija</creator><creator>Hinrichsen, Patricio</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>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>20150526</creationdate><title>Construction of High Density Sweet Cherry (Prunus avium L.) Linkage Maps Using Microsatellite Markers and SNPs Detected by Genotyping-by-Sequencing (GBS)</title><author>Guajardo, Verónica ; Solís, Simón ; Sagredo, Boris ; Gainza, Felipe ; Muñoz, Carlos ; Gasic, Ksenija ; Hinrichsen, Patricio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-5bb3028ba3a2e79099264ac31c9b19bbab56b5b2f9b9f6b6694efa134ac954143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Bioinformatics</topic><topic>Breeding</topic><topic>Chromosome Mapping - methods</topic><topic>Chromosome Segregation - genetics</topic><topic>Construction</topic><topic>Cultivars</topic><topic>Density</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>DNA methylation</topic><topic>Efficiency</topic><topic>Families & family life</topic><topic>Gene loci</topic><topic>Gene mapping</topic><topic>Gene sequencing</topic><topic>Genes, Plant</topic><topic>Genetic Linkage</topic><topic>Genetic markers</topic><topic>Genetics</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Genotyping</topic><topic>Genotyping Techniques - methods</topic><topic>Germplasm</topic><topic>Haplotypes</topic><topic>Linearity</topic><topic>Markers</topic><topic>Microsatellite Repeats - genetics</topic><topic>Microsatellites</topic><topic>Next-generation sequencing</topic><topic>Physical Chromosome Mapping</topic><topic>Polymorphism</topic><topic>Polymorphism, Single Nucleotide - genetics</topic><topic>Population</topic><topic>Prunus avium</topic><topic>Prunus avium - genetics</topic><topic>Quantitative trait loci</topic><topic>Scaffolds</topic><topic>Sequence Analysis, DNA - methods</topic><topic>Single-nucleotide polymorphism</topic><topic>Synteny</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guajardo, Verónica</creatorcontrib><creatorcontrib>Solís, Simón</creatorcontrib><creatorcontrib>Sagredo, Boris</creatorcontrib><creatorcontrib>Gainza, Felipe</creatorcontrib><creatorcontrib>Muñoz, Carlos</creatorcontrib><creatorcontrib>Gasic, Ksenija</creatorcontrib><creatorcontrib>Hinrichsen, Patricio</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</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</collection><collection>Natural Science Collection</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 - 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Linkage Maps Using Microsatellite Markers and SNPs Detected by Genotyping-by-Sequencing (GBS)</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-05-26</date><risdate>2015</risdate><volume>10</volume><issue>5</issue><spage>e0127750</spage><epage>e0127750</epage><pages>e0127750-e0127750</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Linkage maps are valuable tools in genetic and genomic studies. For sweet cherry, linkage maps have been constructed using mainly microsatellite markers (SSRs) and, recently, using single nucleotide polymorphism markers (SNPs) from a cherry 6K SNP array. Genotyping-by-sequencing (GBS), a new methodology based on high-throughput sequencing, holds great promise for identification of high number of SNPs and construction of high density linkage maps. In this study, GBS was used to identify SNPs from an intra-specific sweet cherry cross. A total of 8,476 high quality SNPs were selected for mapping. The physical position for each SNP was determined using the peach genome, Peach v1.0, as reference, and a homogeneous distribution of markers along the eight peach scaffolds was obtained. On average, 65.6% of the SNPs were present in genic regions and 49.8% were located in exonic regions. In addition to the SNPs, a group of SSRs was also used for construction of linkage maps. Parental and consensus high density maps were constructed by genotyping 166 siblings from a 'Rainier' x 'Rivedel' (Ra x Ri) cross. Using Ra x Ri population, 462, 489 and 985 markers were mapped into eight linkage groups in 'Rainier', 'Rivedel' and the Ra x Ri map, respectively, with 80% of mapped SNPs located in genic regions. Obtained maps spanned 549.5, 582.6 and 731.3 cM for 'Rainier', 'Rivedel' and consensus maps, respectively, with an average distance of 1.2 cM between adjacent markers for both 'Rainier' and 'Rivedel' maps and of 0.7 cM for Ra x Ri map. High synteny and co-linearity was observed between obtained maps and with Peach v1.0. These new high density linkage maps provide valuable information on the sweet cherry genome, and serve as the basis for identification of QTLs and genes relevant for the breeding of the species.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26011256</pmid><doi>10.1371/journal.pone.0127750</doi><oa>free_for_read</oa></addata></record> |
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| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Bioinformatics Breeding Chromosome Mapping - methods Chromosome Segregation - genetics Construction Cultivars Density Deoxyribonucleic acid DNA DNA methylation Efficiency Families & family life Gene loci Gene mapping Gene sequencing Genes, Plant Genetic Linkage Genetic markers Genetics Genomes Genomics Genotyping Genotyping Techniques - methods Germplasm Haplotypes Linearity Markers Microsatellite Repeats - genetics Microsatellites Next-generation sequencing Physical Chromosome Mapping Polymorphism Polymorphism, Single Nucleotide - genetics Population Prunus avium Prunus avium - genetics Quantitative trait loci Scaffolds Sequence Analysis, DNA - methods Single-nucleotide polymorphism Synteny |
| title | Construction of High Density Sweet Cherry (Prunus avium L.) Linkage Maps Using Microsatellite Markers and SNPs Detected by Genotyping-by-Sequencing (GBS) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T06%3A03%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Construction%20of%20High%20Density%20Sweet%20Cherry%20(Prunus%20avium%20L.)%20Linkage%20Maps%20Using%20Microsatellite%20Markers%20and%20SNPs%20Detected%20by%20Genotyping-by-Sequencing%20(GBS)&rft.jtitle=PloS%20one&rft.au=Guajardo,%20Ver%C3%B3nica&rft.date=2015-05-26&rft.volume=10&rft.issue=5&rft.spage=e0127750&rft.epage=e0127750&rft.pages=e0127750-e0127750&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0127750&rft_dat=%3Cproquest_plos_%3E3696029671%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1683370684&rft_id=info:pmid/26011256&rft_doaj_id=oai_doaj_org_article_37b2516fbc484bbb8faf0578ba43bc5a&rfr_iscdi=true |