Species‐wide patterns of DNA methylation variation in Quercus lobata and their association with climate gradients
DNA methylation in plants affects transposon silencing, transcriptional regulation and thus phenotypic variation. One unanswered question is whether DNA methylation could be involved in local adaptation of plant populations to their environments. If methylation alters phenotypes to improve plant res...
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Veröffentlicht in: | Molecular ecology 2016-04, Vol.25 (8), p.1665-1680 |
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description | DNA methylation in plants affects transposon silencing, transcriptional regulation and thus phenotypic variation. One unanswered question is whether DNA methylation could be involved in local adaptation of plant populations to their environments. If methylation alters phenotypes to improve plant response to the environment, then methylation sites or the genes that affect them could be a target of natural selection. Using reduced‐representation bisulphite sequencing (RRBS) data, we assessed whether climate is associated with variation in DNA methylation levels among 58 naturally occurring, and species‐wide samples of valley oak (Quercus lobata) collected across climate gradients. We identified the genomic context of these variants referencing a new draft valley oak genome sequence. Methylation data were obtained for 341 107 cytosines, of which we deemed 57 488 as single‐methylation variants (SMVs), found in the CG, CHG and CHH sequence contexts. Environmental association analyses revealed 43 specific SMVs that are significantly associated with any of four climate variables, the majority of which are associated with mean maximum temperature. The 43 climate‐associated SMVs tend to occur in or near genes, several of which have known involvement in plant response to environment. Multivariate analyses show that climate and spatial variables explain more overall variance in CG‐SMVs among individuals than in SNPs, CHG‐SMVs or CHH‐SMVs. Together, these results from natural oak populations provide initial evidence for a role of CG methylation in locally adaptive evolution or plasticity in plant response. |
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One unanswered question is whether DNA methylation could be involved in local adaptation of plant populations to their environments. If methylation alters phenotypes to improve plant response to the environment, then methylation sites or the genes that affect them could be a target of natural selection. Using reduced‐representation bisulphite sequencing (RRBS) data, we assessed whether climate is associated with variation in DNA methylation levels among 58 naturally occurring, and species‐wide samples of valley oak (Quercus lobata) collected across climate gradients. We identified the genomic context of these variants referencing a new draft valley oak genome sequence. Methylation data were obtained for 341 107 cytosines, of which we deemed 57 488 as single‐methylation variants (SMVs), found in the CG, CHG and CHH sequence contexts. Environmental association analyses revealed 43 specific SMVs that are significantly associated with any of four climate variables, the majority of which are associated with mean maximum temperature. The 43 climate‐associated SMVs tend to occur in or near genes, several of which have known involvement in plant response to environment. Multivariate analyses show that climate and spatial variables explain more overall variance in CG‐SMVs among individuals than in SNPs, CHG‐SMVs or CHH‐SMVs. Together, these results from natural oak populations provide initial evidence for a role of CG methylation in locally adaptive evolution or plasticity in plant response.</description><identifier>ISSN: 0962-1083</identifier><identifier>EISSN: 1365-294X</identifier><identifier>DOI: 10.1111/mec.13563</identifier><identifier>PMID: 26833902</identifier><language>eng</language><publisher>England: Blackwell Scientific Publications</publisher><subject>Adaptation, Physiological - genetics ; California ; Climate ; DNA Methylation ; DNA, Plant - genetics ; environmental association analysis ; epigenomics ; Evolution & development ; Genetic diversity ; Genome, Plant ; Linear Models ; local adaptation ; Models, Genetic ; Multivariate Analysis ; Plant populations ; Polymorphism, Single Nucleotide ; Quercus - genetics ; Quercus lobata ; reduced-representation bisulphite sequencing ; Sequence Analysis, DNA ; Temperature</subject><ispartof>Molecular ecology, 2016-04, Vol.25 (8), p.1665-1680</ispartof><rights>2016 John Wiley & Sons Ltd</rights><rights>2016 John Wiley & Sons Ltd.</rights><rights>Copyright © 2016 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4483-7bdcc30a05c57c538eed1def400cdda7024a016584004aa7b2887514c1123db83</citedby><cites>FETCH-LOGICAL-c4483-7bdcc30a05c57c538eed1def400cdda7024a016584004aa7b2887514c1123db83</cites><orcidid>0000-0002-4464-8453</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fmec.13563$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fmec.13563$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,778,782,1414,27907,27908,45557,45558</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26833902$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gugger, Paul F.</creatorcontrib><creatorcontrib>Fitz-Gibbon, Sorel</creatorcontrib><creatorcontrib>PellEgrini, Matteo</creatorcontrib><creatorcontrib>Sork, Victoria L.</creatorcontrib><title>Species‐wide patterns of DNA methylation variation in Quercus lobata and their association with climate gradients</title><title>Molecular ecology</title><addtitle>Mol Ecol</addtitle><description>DNA methylation in plants affects transposon silencing, transcriptional regulation and thus phenotypic variation. One unanswered question is whether DNA methylation could be involved in local adaptation of plant populations to their environments. If methylation alters phenotypes to improve plant response to the environment, then methylation sites or the genes that affect them could be a target of natural selection. Using reduced‐representation bisulphite sequencing (RRBS) data, we assessed whether climate is associated with variation in DNA methylation levels among 58 naturally occurring, and species‐wide samples of valley oak (Quercus lobata) collected across climate gradients. We identified the genomic context of these variants referencing a new draft valley oak genome sequence. Methylation data were obtained for 341 107 cytosines, of which we deemed 57 488 as single‐methylation variants (SMVs), found in the CG, CHG and CHH sequence contexts. Environmental association analyses revealed 43 specific SMVs that are significantly associated with any of four climate variables, the majority of which are associated with mean maximum temperature. The 43 climate‐associated SMVs tend to occur in or near genes, several of which have known involvement in plant response to environment. Multivariate analyses show that climate and spatial variables explain more overall variance in CG‐SMVs among individuals than in SNPs, CHG‐SMVs or CHH‐SMVs. Together, these results from natural oak populations provide initial evidence for a role of CG methylation in locally adaptive evolution or plasticity in plant response.</description><subject>Adaptation, Physiological - genetics</subject><subject>California</subject><subject>Climate</subject><subject>DNA Methylation</subject><subject>DNA, Plant - genetics</subject><subject>environmental association analysis</subject><subject>epigenomics</subject><subject>Evolution & development</subject><subject>Genetic diversity</subject><subject>Genome, Plant</subject><subject>Linear Models</subject><subject>local adaptation</subject><subject>Models, Genetic</subject><subject>Multivariate Analysis</subject><subject>Plant populations</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Quercus - genetics</subject><subject>Quercus lobata</subject><subject>reduced-representation bisulphite sequencing</subject><subject>Sequence Analysis, DNA</subject><subject>Temperature</subject><issn>0962-1083</issn><issn>1365-294X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0t1uFCEUB3BiNHZbvfAFlMQbvZgWBhiYy2Ztq0mtH2ujd4RhznSp87EC47p3PoLP6JNId7a9MDGRGwj5nZPwPyD0hJJDmtZRB_aQMlGwe2hGWSGyvORf7qMZKYs8o0SxPbQfwjUhlOVCPER7eaEYK0k-Q2GxAusg_P75a-1qwCsTI_g-4KHBry6OcQdxuWlNdEOPvxvvppPr8YcRvB0DbofKRINNX-O4BOexCWGwO7d2cYlt6zoTAV95UzvoY3iEHjSmDfB4tx-gy9OTT_PX2fm7szfz4_PMcq5YJqvaWkYMEVZIK5gCqGkNDSfE1rWRJOeG0EKodMGNkVWulBSUW0pzVleKHaAXU9-VH76NEKLuXLDQtqaHYQyaSiVLWd7E8h-US16qgiT6_C96PYy-Tw_ZKkJ5uVUvJ2X9EIKHRq98isFvNCX6Zmg6DU1vh5bs013HseqgvpO3U0rgaAJr18Lm353025P5bctsqnAhwo-7CuO_6kIyKfTnizMt3-dKKLnQH5N_NvnGDNpceRf05SJP6aZwRPpRlP0BmS25aA</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Gugger, Paul F.</creator><creator>Fitz-Gibbon, Sorel</creator><creator>PellEgrini, Matteo</creator><creator>Sork, Victoria L.</creator><general>Blackwell Scientific Publications</general><general>Blackwell Publishing Ltd</general><scope>FBQ</scope><scope>BSCLL</scope><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>7SN</scope><scope>7SS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>7TM</scope><orcidid>https://orcid.org/0000-0002-4464-8453</orcidid></search><sort><creationdate>201604</creationdate><title>Species‐wide patterns of DNA methylation variation in Quercus lobata and their association with climate gradients</title><author>Gugger, Paul F. ; Fitz-Gibbon, Sorel ; PellEgrini, Matteo ; Sork, Victoria L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4483-7bdcc30a05c57c538eed1def400cdda7024a016584004aa7b2887514c1123db83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adaptation, Physiological - genetics</topic><topic>California</topic><topic>Climate</topic><topic>DNA Methylation</topic><topic>DNA, Plant - genetics</topic><topic>environmental association analysis</topic><topic>epigenomics</topic><topic>Evolution & development</topic><topic>Genetic diversity</topic><topic>Genome, Plant</topic><topic>Linear Models</topic><topic>local adaptation</topic><topic>Models, Genetic</topic><topic>Multivariate Analysis</topic><topic>Plant populations</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Quercus - genetics</topic><topic>Quercus lobata</topic><topic>reduced-representation bisulphite sequencing</topic><topic>Sequence Analysis, DNA</topic><topic>Temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gugger, Paul F.</creatorcontrib><creatorcontrib>Fitz-Gibbon, Sorel</creatorcontrib><creatorcontrib>PellEgrini, Matteo</creatorcontrib><creatorcontrib>Sork, Victoria L.</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><jtitle>Molecular ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gugger, Paul F.</au><au>Fitz-Gibbon, Sorel</au><au>PellEgrini, Matteo</au><au>Sork, Victoria L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Species‐wide patterns of DNA methylation variation in Quercus lobata and their association with climate gradients</atitle><jtitle>Molecular ecology</jtitle><addtitle>Mol Ecol</addtitle><date>2016-04</date><risdate>2016</risdate><volume>25</volume><issue>8</issue><spage>1665</spage><epage>1680</epage><pages>1665-1680</pages><issn>0962-1083</issn><eissn>1365-294X</eissn><abstract>DNA methylation in plants affects transposon silencing, transcriptional regulation and thus phenotypic variation. One unanswered question is whether DNA methylation could be involved in local adaptation of plant populations to their environments. If methylation alters phenotypes to improve plant response to the environment, then methylation sites or the genes that affect them could be a target of natural selection. Using reduced‐representation bisulphite sequencing (RRBS) data, we assessed whether climate is associated with variation in DNA methylation levels among 58 naturally occurring, and species‐wide samples of valley oak (Quercus lobata) collected across climate gradients. We identified the genomic context of these variants referencing a new draft valley oak genome sequence. Methylation data were obtained for 341 107 cytosines, of which we deemed 57 488 as single‐methylation variants (SMVs), found in the CG, CHG and CHH sequence contexts. Environmental association analyses revealed 43 specific SMVs that are significantly associated with any of four climate variables, the majority of which are associated with mean maximum temperature. The 43 climate‐associated SMVs tend to occur in or near genes, several of which have known involvement in plant response to environment. Multivariate analyses show that climate and spatial variables explain more overall variance in CG‐SMVs among individuals than in SNPs, CHG‐SMVs or CHH‐SMVs. Together, these results from natural oak populations provide initial evidence for a role of CG methylation in locally adaptive evolution or plasticity in plant response.</abstract><cop>England</cop><pub>Blackwell Scientific Publications</pub><pmid>26833902</pmid><doi>10.1111/mec.13563</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-4464-8453</orcidid></addata></record> |
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subjects | Adaptation, Physiological - genetics California Climate DNA Methylation DNA, Plant - genetics environmental association analysis epigenomics Evolution & development Genetic diversity Genome, Plant Linear Models local adaptation Models, Genetic Multivariate Analysis Plant populations Polymorphism, Single Nucleotide Quercus - genetics Quercus lobata reduced-representation bisulphite sequencing Sequence Analysis, DNA Temperature |
title | Species‐wide patterns of DNA methylation variation in Quercus lobata and their association with climate gradients |
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