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Topological features of a gene co-expression network predict patterns of natural diversity in environmental response
Author(s) -
David L. Des Marais,
Rafael F. Guerrero,
Jesse R. Lasky,
Samuel V. Scarpino
Publication year - 2017
Publication title -
proceedings of the royal society b biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.342
H-Index - 253
eISSN - 1471-2954
pISSN - 0962-8452
DOI - 10.1098/rspb.2017.0914
Subject(s) - epistasis , biology , gene , abiotic component , phenotype , adaptation (eye) , arabidopsis thaliana , genetics , gene regulatory network , evolutionary biology , genetic variation , network topology , computational biology , gene expression , topology (electrical circuits) , ecology , mutant , computer science , mathematics , combinatorics , neuroscience , operating system
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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