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Correlations of Genotype with Climate Parameters Suggest Caenorhabditis elegans Niche Adaptations.
Evans, Kathryn S; Zhao, Yuehui; Brady, Shannon C; Long, Lijiang; McGrath, Patrick T; Andersen, Erik C.
Afiliação
  • Evans KS; Department of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208.
  • Zhao Y; Interdisciplinary Biological Sciences Graduate Program, Northwestern University, Evanston, Illinois 60208.
  • Brady SC; School of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332.
  • Long L; Department of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208.
  • McGrath PT; Interdisciplinary Biological Sciences Graduate Program, Northwestern University, Evanston, Illinois 60208.
  • Andersen EC; School of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332.
G3 (Bethesda) ; 7(1): 289-298, 2017 01 05.
Article em En | MEDLINE | ID: mdl-27866149
ABSTRACT
Species inhabit a variety of environmental niches, and the adaptation to a particular niche is often controlled by genetic factors, including gene-by-environment interactions. The genes that vary in order to regulate the ability to colonize a niche are often difficult to identify, especially in the context of complex ecological systems and in experimentally uncontrolled natural environments. Quantitative genetic approaches provide an opportunity to investigate correlations between genetic factors and environmental parameters that might define a niche. Previously, we have shown how a collection of 208 whole-genome sequenced wild Caenorhabditis elegans can facilitate association mapping approaches. To correlate climate parameters with the variation found in this collection of wild strains, we used geographic data to exhaustively curate daily weather measurements in short-term (3 month), middle-term (one year), and long-term (three year) durations surrounding the date of strain isolation. These climate parameters were used as quantitative traits in association mapping approaches, where we identified 11 quantitative trait loci (QTL) for three climatic variables elevation, relative humidity, and average temperature. We then narrowed the genomic interval of interest to identify gene candidates with variants potentially underlying phenotypic differences. Additionally, we performed two-strain competition assays at high and low temperatures to validate a QTL that could underlie adaptation to temperature and found suggestive evidence supporting that hypothesis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adaptação Fisiológica / Caenorhabditis elegans / Locos de Características Quantitativas / Interação Gene-Ambiente Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: G3 (Bethesda) Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adaptação Fisiológica / Caenorhabditis elegans / Locos de Características Quantitativas / Interação Gene-Ambiente Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: G3 (Bethesda) Ano de publicação: 2017 Tipo de documento: Article