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Topological features of a gene co-expression network predict patterns of natural diversity in environmental response.
Des Marais, David L; Guerrero, Rafael F; Lasky, Jesse R; Scarpino, Samuel V.
Afiliación
  • Des Marais DL; Arnold Arboretum and Department of Organismic and Evolutionary Biology, Harvard University, 1300 Centre Street, Boston, MA 20131, USA desmarais@fas.harvard.edu.
  • Guerrero RF; Department of Biology, Indiana University, Jordan Hall 142, Bloomington, IN 47405, USA.
  • Lasky JR; Department of Biology, Pennsylvania State University, 408 Life Sciences Building, University Park, PA 16802, USA.
  • Scarpino SV; Department of Mathematics and Statistics and Vermont Complex Systems Center, University of Vermont, 210 Colchester Avenue, Burlington, VT 05405, USA samuel.v.scarpino@uvm.edu.
Proc Biol Sci ; 284(1856)2017 Jun 14.
Article en En | MEDLINE | ID: mdl-28615505
ABSTRACT
Molecular interactions affect the evolution of complex traits. For instance, adaptation may be constrained by pleiotropic or epistatic effects, both of which can be reflected in the structure of molecular interaction networks. To date, empirical studies investigating the role of molecular interactions in phenotypic evolution have been idiosyncratic, offering no clear patterns. Here, we investigated the network topology of genes putatively involved in local adaptation to two abiotic stressors-drought and cold-in Arabidopsis thaliana Our findings suggest that the gene-interaction topologies for both cold and drought stress response are non-random, with genes that show genetic variation in drought expression response (eGxE) being significantly more peripheral and cold response genes being significantly more central than genes which do not show GxE. We suggest that the observed topologies reflect different constraints on the genetic pathways involved in environmental response. The approach presented here may inform predictive models linking genetic variation in molecular signalling networks with phenotypic variation, specifically traits involved in environmental response.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Adaptación Fisiológica / Arabidopsis / Frío / Redes Reguladoras de Genes / Sequías Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Adaptación Fisiológica / Arabidopsis / Frío / Redes Reguladoras de Genes / Sequías Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc Biol Sci Asunto de la revista: BIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos