Selection on structural allelic variation biases plasticity estimates.


Journal

Evolution; international journal of organic evolution
ISSN: 1558-5646
Titre abrégé: Evolution
Pays: United States
ID NLM: 0373224

Informations de publication

Date de publication:
05 2019
Historique:
received: 30 01 2019
revised: 19 02 2019
accepted: 19 02 2019
pubmed: 16 3 2019
medline: 16 5 2020
entrez: 16 3 2019
Statut: ppublish

Résumé

Wang and Althoff (2019) explored the capacity of Drosophila melanogaster to exhibit adaptive plasticity in a novel environment. In a full-sib, half-sib design, they scored the activity of the enzyme alcohol dehydrogenase (ADH) and plastic responses, measured as changes in ADH activity across ethanol concentrations in the range of 0-10% (natural variation) and 16% (the novel environment). ADH activity increased with alcohol concentration, and there was a positive association between larval viability and ADH activity in the novel environment. They also reported that families exhibiting greater plasticity had higher larval survival in the novel environment, concluding that ADH plasticity is adaptive. However, the four authors now concur that, since the study estimated plasticity from phenotypic differences across environments using full-sib families, it is not possible to disentangle the contributions of allele frequency changes at the Adh locus from regulatory control at loci known to influence ADH activity. Selective changes in allele frequencies may thus conflate estimates of plasticity; any type of "plasticity" (adaptive, neutral, or maladaptive) could be inferred depending on allele frequencies. The problem of scoring sib-groups after selection should be considered in any plasticity study that cannot use replicated genotypes. Researchers should monitor changes in allele frequencies as one mechanism to deal with this issue.

Identifiants

pubmed: 30874299
doi: 10.1111/evo.13723
doi:

Substances chimiques

Alcohol Dehydrogenase EC 1.1.1.1

Banques de données

Dryad
['10.5061/dryad.2mj7019']

Types de publication

Journal Article Research Support, Non-U.S. Gov't Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

1057-1062

Subventions

Organisme : Agència de Gestió d'Ajuts Universitaris i de Recerca
ID : 2017 SGR 01379
Pays : International
Organisme : Ministerio de Economía, Industria y Competitividad (Spain)
ID : CGL2017-89160-P
Pays : International

Commentaires et corrections

Type : CommentOn

Informations de copyright

© 2019 The Author(s). Evolution © 2019 The Society for the Study of Evolution.

Auteurs

Mauro Santos (M)

Departament de Genètica i de Microbiologia, Grup de Genòmica, Bioinformàtica i Biologia Evolutiva (GGBE), Universitat Autònoma de Barcelona, Barcelona, Spain.

Margarida Matos (M)

cE3c-Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.

Sheng Pei Wang (SP)

Department of Biology, Syracuse University, Syracuse, New York 13244.

David M Althoff (DM)

Department of Biology, Syracuse University, Syracuse, New York 13244.
Archbold Biological Station, Venus, Florida, 33960.

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