Investigating the genetic architecture of conditional strategies using the environmental threshold model.
Identifieur interne : 002573 ( PubMed/Curation ); précédent : 002572; suivant : 002574Investigating the genetic architecture of conditional strategies using the environmental threshold model.
Auteurs : Bruno A. Buzatto [Oman] ; Mathieu Buoro [France] ; Wade N. Hazel [États-Unis] ; Joseph L. Tomkins [Australie]Source :
- Proceedings. Biological sciences [ 1471-2954 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- anatomie et histologie : Insectes.
- génétique : Insectes.
- Animaux, Caractères sexuels, Femelle, Interaction entre gènes et environnement, Modèles génétiques, Mâle, Royaume-Uni, Variation génétique.
English descriptors
- KwdEn :
- MESH :
- anatomy & histology : Insects.
- genetics : Insects.
- Animals, Female, Gene-Environment Interaction, Genetic Variation, Male, Models, Genetic, Sex Characteristics, United Kingdom.
Abstract
The threshold expression of dichotomous phenotypes that are environmentally cued or induced comprise the vast majority of phenotypic dimorphisms in colour, morphology, behaviour and life history. Modelled as conditional strategies under the framework of evolutionary game theory, the quantitative genetic basis of these traits is a challenge to estimate. The challenge exists firstly because the phenotypic expression of the trait is dichotomous and secondly because the apparent environmental cue is separate from the biological signal pathway that induces the switch between phenotypes. It is the cryptic variation underlying the translation of cue to phenotype that we address here. With a 'half-sib common environment' and a 'family-level split environment' experiment, we examine the environmental and genetic influences that underlie male dimorphism in the earwig Forficula auricularia. From the conceptual framework of the latent environmental threshold (LET) model, we use pedigree information to dissect the genetic architecture of the threshold expression of forceps length. We investigate for the first time the strength of the correlation between observable and cryptic 'proximate' cues. Furthermore, in support of the environmental threshold model, we found no evidence for a genetic correlation between cue and the threshold between phenotypes. Our results show strong correlations between observable and proximate cues and less genetic variation for thresholds than previous studies have suggested. We discuss the importance of generating better estimates of the genetic variation for thresholds when investigating the genetic architecture and heritability of threshold traits. By investigating genetic architecture by means of the LET model, our study supports several key evolutionary ideas related to conditional strategies and improves our understanding of environmentally cued decisions.
DOI: 10.1098/rspb.2015.2075
PubMed: 26674955
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Buzatto</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Evolutionary Biology, School of Animal Biology (M092), The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia bruno.buzatto@gmail.com.</nlm:affiliation><country wicri:rule="url">Oman</country><wicri:regionArea>Centre for Evolutionary Biology, School of Animal Biology (M092), The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009</wicri:regionArea></affiliation></author><author><name sortKey="Buoro, Mathieu" sort="Buoro, Mathieu" uniqKey="Buoro M" first="Mathieu" last="Buoro">Mathieu Buoro</name><affiliation wicri:level="1"><nlm:affiliation>CNRS, Université Paul Sabatier, ENFA; UMR5174 EDB (Laboratoire Évolution and Diversité Biologique), 118 route de Narbonne, Toulouse 31062, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CNRS, Université Paul Sabatier, ENFA; UMR5174 EDB (Laboratoire Évolution and Diversité Biologique), 118 route de Narbonne, Toulouse 31062</wicri:regionArea></affiliation></author><author><name sortKey="Hazel, Wade N" sort="Hazel, Wade N" uniqKey="Hazel W" first="Wade N" last="Hazel">Wade N. 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Modelled as conditional strategies under the framework of evolutionary game theory, the quantitative genetic basis of these traits is a challenge to estimate. The challenge exists firstly because the phenotypic expression of the trait is dichotomous and secondly because the apparent environmental cue is separate from the biological signal pathway that induces the switch between phenotypes. It is the cryptic variation underlying the translation of cue to phenotype that we address here. With a 'half-sib common environment' and a 'family-level split environment' experiment, we examine the environmental and genetic influences that underlie male dimorphism in the earwig Forficula auricularia. From the conceptual framework of the latent environmental threshold (LET) model, we use pedigree information to dissect the genetic architecture of the threshold expression of forceps length. We investigate for the first time the strength of the correlation between observable and cryptic 'proximate' cues. Furthermore, in support of the environmental threshold model, we found no evidence for a genetic correlation between cue and the threshold between phenotypes. Our results show strong correlations between observable and proximate cues and less genetic variation for thresholds than previous studies have suggested. We discuss the importance of generating better estimates of the genetic variation for thresholds when investigating the genetic architecture and heritability of threshold traits. By investigating genetic architecture by means of the LET model, our study supports several key evolutionary ideas related to conditional strategies and improves our understanding of environmentally cued decisions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26674955</PMID><DateCreated><Year>2015</Year><Month>12</Month><Day>17</Day></DateCreated><DateCompleted><Year>2017</Year><Month>01</Month><Day>19</Day></DateCompleted><DateRevised><Year>2017</Year><Month>11</Month><Day>16</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1471-2954</ISSN><JournalIssue CitedMedium="Internet"><Volume>282</Volume><Issue>1821</Issue><PubDate><Year>2015</Year><Month>12</Month><Day>22</Day></PubDate></JournalIssue><Title>Proceedings. Biological sciences</Title><ISOAbbreviation>Proc. Biol. Sci.</ISOAbbreviation></Journal><ArticleTitle>Investigating the genetic architecture of conditional strategies using the environmental threshold model.</ArticleTitle><Pagination><MedlinePgn>20152075</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1098/rspb.2015.2075</ELocationID><ELocationID EIdType="pii" ValidYN="Y">20152075</ELocationID><Abstract><AbstractText>The threshold expression of dichotomous phenotypes that are environmentally cued or induced comprise the vast majority of phenotypic dimorphisms in colour, morphology, behaviour and life history. Modelled as conditional strategies under the framework of evolutionary game theory, the quantitative genetic basis of these traits is a challenge to estimate. The challenge exists firstly because the phenotypic expression of the trait is dichotomous and secondly because the apparent environmental cue is separate from the biological signal pathway that induces the switch between phenotypes. It is the cryptic variation underlying the translation of cue to phenotype that we address here. With a 'half-sib common environment' and a 'family-level split environment' experiment, we examine the environmental and genetic influences that underlie male dimorphism in the earwig Forficula auricularia. From the conceptual framework of the latent environmental threshold (LET) model, we use pedigree information to dissect the genetic architecture of the threshold expression of forceps length. We investigate for the first time the strength of the correlation between observable and cryptic 'proximate' cues. Furthermore, in support of the environmental threshold model, we found no evidence for a genetic correlation between cue and the threshold between phenotypes. Our results show strong correlations between observable and proximate cues and less genetic variation for thresholds than previous studies have suggested. We discuss the importance of generating better estimates of the genetic variation for thresholds when investigating the genetic architecture and heritability of threshold traits. By investigating genetic architecture by means of the LET model, our study supports several key evolutionary ideas related to conditional strategies and improves our understanding of environmentally cued decisions.</AbstractText><CopyrightInformation>© 2015 The Author(s).</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Buzatto</LastName><ForeName>Bruno A</ForeName><Initials>BA</Initials><Identifier Source="ORCID">0000-0002-2711-0336</Identifier><AffiliationInfo><Affiliation>Centre for Evolutionary Biology, School of Animal Biology (M092), The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia bruno.buzatto@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Buoro</LastName><ForeName>Mathieu</ForeName><Initials>M</Initials><Identifier Source="ORCID">0000-0001-7053-3767</Identifier><AffiliationInfo><Affiliation>CNRS, Université Paul Sabatier, ENFA; UMR5174 EDB (Laboratoire Évolution and Diversité Biologique), 118 route de Narbonne, Toulouse 31062, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hazel</LastName><ForeName>Wade N</ForeName><Initials>WN</Initials><AffiliationInfo><Affiliation>Department of Biology, DePauw University, Greencastle, IN 46135, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tomkins</LastName><ForeName>Joseph L</ForeName><Initials>JL</Initials><AffiliationInfo><Affiliation>Centre for Evolutionary Biology, School of Animal Biology (M092), The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><DataBankList CompleteYN="Y"><DataBank><DataBankName>Dryad</DataBankName><AccessionNumberList><AccessionNumber>10.5061/dryad.3J2MP</AccessionNumber></AccessionNumberList></DataBank></DataBankList><GrantList CompleteYN="Y"><Grant><Agency>Biotechnology and Biological 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RefType="Cites"><RefSource>Evolution. 2012 Apr;66(4):996-1009</RefSource><PMID Version="1">22486685</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D059647" MajorTopicYN="Y">Gene-Environment Interaction</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014644" MajorTopicYN="N">Genetic Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007313" MajorTopicYN="N">Insects</DescriptorName><QualifierName UI="Q000033" MajorTopicYN="N">anatomy & histology</QualifierName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008957" MajorTopicYN="N">Models, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012727" MajorTopicYN="N">Sex Characteristics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006113" MajorTopicYN="N">United Kingdom</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC4707757 [Available on 12/22/16]</OtherID><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">alternative reproductive tactics</Keyword><Keyword MajorTopicYN="Y">intrasexual dimorphism</Keyword><Keyword MajorTopicYN="Y">male dimorphism</Keyword><Keyword MajorTopicYN="Y">phenotypic plasticity</Keyword><Keyword MajorTopicYN="Y">polyphenism</Keyword><Keyword MajorTopicYN="Y">quantitative genetics</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>12</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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