The 'New Wave' in plant demographic inference: more loci and more individuals.
Identifieur interne : 003092 ( Main/Exploration ); précédent : 003091; suivant : 003093The 'New Wave' in plant demographic inference: more loci and more individuals.
Auteurs : Martin Lascoux [Suède] ; Remy J. PetitSource :
- Molecular ecology [ 1365-294X ] ; 2010.
Descripteurs français
- KwdFr :
- ADN des plantes (génétique), Amérique du Nord (MeSH), Analyse de regroupements (MeSH), Analyse de séquence d'ADN (MeSH), Flux des gènes (MeSH), Fréquence d'allèle (MeSH), Génétique des populations (MeSH), Modèles génétiques (MeSH), Polymorphisme de nucléotide simple (MeSH), Populus (génétique), Théorème de Bayes (MeSH), Variation génétique (MeSH).
- MESH :
English descriptors
- KwdEn :
- Bayes Theorem (MeSH), Cluster Analysis (MeSH), DNA, Plant (genetics), Gene Flow (MeSH), Gene Frequency (MeSH), Genetic Variation (MeSH), Genetics, Population (MeSH), Models, Genetic (MeSH), North America (MeSH), Polymorphism, Single Nucleotide (MeSH), Populus (genetics), Sequence Analysis, DNA (MeSH).
- MESH :
- chemical , genetics : DNA, Plant.
- geographic : North America.
- genetics : Populus.
- Bayes Theorem, Cluster Analysis, Gene Flow, Gene Frequency, Genetic Variation, Genetics, Population, Models, Genetic, Polymorphism, Single Nucleotide, Sequence Analysis, DNA.
Abstract
Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.
DOI: 10.1111/j.1365-294X.2010.04547.x
PubMed: 20456223
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Petit</name></author></analytic><series><title level="j">Molecular ecology</title><idno type="eISSN">1365-294X</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bayes Theorem (MeSH)</term><term>Cluster Analysis (MeSH)</term><term>DNA, Plant (genetics)</term><term>Gene Flow (MeSH)</term><term>Gene Frequency (MeSH)</term><term>Genetic Variation (MeSH)</term><term>Genetics, Population (MeSH)</term><term>Models, Genetic (MeSH)</term><term>North America (MeSH)</term><term>Polymorphism, Single Nucleotide (MeSH)</term><term>Populus (genetics)</term><term>Sequence Analysis, DNA (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>ADN des plantes (génétique)</term><term>Amérique du Nord (MeSH)</term><term>Analyse de regroupements (MeSH)</term><term>Analyse de séquence d'ADN (MeSH)</term><term>Flux des gènes (MeSH)</term><term>Fréquence d'allèle (MeSH)</term><term>Génétique des populations (MeSH)</term><term>Modèles génétiques (MeSH)</term><term>Polymorphisme de nucléotide simple (MeSH)</term><term>Populus (génétique)</term><term>Théorème de Bayes (MeSH)</term><term>Variation génétique (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en"><term>DNA, Plant</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>North America</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Populus</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>ADN des plantes</term><term>Populus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Bayes Theorem</term><term>Cluster Analysis</term><term>Gene Flow</term><term>Gene Frequency</term><term>Genetic Variation</term><term>Genetics, Population</term><term>Models, Genetic</term><term>Polymorphism, Single Nucleotide</term><term>Sequence Analysis, DNA</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Amérique du Nord</term><term>Analyse de regroupements</term><term>Analyse de séquence d'ADN</term><term>Flux des gènes</term><term>Fréquence d'allèle</term><term>Génétique des populations</term><term>Modèles génétiques</term><term>Polymorphisme de nucléotide simple</term><term>Théorème de Bayes</term><term>Variation génétique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20456223</PMID><DateCompleted><Year>2010</Year><Month>06</Month><Day>28</Day></DateCompleted><DateRevised><Year>2010</Year><Month>05</Month><Day>11</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1365-294X</ISSN><JournalIssue CitedMedium="Internet"><Volume>19</Volume><Issue>6</Issue><PubDate><Year>2010</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Molecular ecology</Title><ISOAbbreviation>Mol Ecol</ISOAbbreviation></Journal><ArticleTitle>The 'New Wave' in plant demographic inference: more loci and more individuals.</ArticleTitle><Pagination><MedlinePgn>1075-8</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/j.1365-294X.2010.04547.x</ELocationID><Abstract><AbstractText>Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al. (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lascoux</LastName><ForeName>Martin</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Program in Evolutionary Functional Genomics, EGS/EBC, Uppsala University, Norbyvägen 18D, 75236 Uppsala, Sweden. martin.lascoux@ebc.uu.se</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Petit</LastName><ForeName>Remy J</ForeName><Initials>RJ</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016420">Comment</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mol Ecol</MedlineTA><NlmUniqueID>9214478</NlmUniqueID><ISSNLinking>0962-1083</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D018744">DNA, Plant</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentOn"><RefSource>Mol Ecol. 2010 Mar;19(6):1212-26</RefSource><PMID Version="1">20163548</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018744" MajorTopicYN="N">DNA, Plant</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D051456" MajorTopicYN="Y">Gene Flow</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005787" MajorTopicYN="N">Gene Frequency</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014644" MajorTopicYN="N">Genetic Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005828" MajorTopicYN="Y">Genetics, Population</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008957" MajorTopicYN="N">Models, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009656" MajorTopicYN="N" Type="Geographic">North America</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020641" MajorTopicYN="N">Polymorphism, Single Nucleotide</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017422" MajorTopicYN="N">Sequence Analysis, DNA</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>5</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>5</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>6</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20456223</ArticleId><ArticleId IdType="pii">MEC4547</ArticleId><ArticleId IdType="doi">10.1111/j.1365-294X.2010.04547.x</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Suède</li></country><region><li>East Middle Sweden</li><li>Svealand</li></region><settlement><li>Uppsala</li></settlement><orgName><li>Université d'Uppsala</li></orgName></list><tree><noCountry><name sortKey="Petit, Remy J" sort="Petit, Remy J" uniqKey="Petit R" first="Remy J" last="Petit">Remy J. Petit</name></noCountry><country name="Suède"><region name="Svealand"><name sortKey="Lascoux, Martin" sort="Lascoux, Martin" uniqKey="Lascoux M" first="Martin" last="Lascoux">Martin Lascoux</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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