Connectivity in gene coexpression networks negatively correlates with rates of molecular evolution in flowering plants.

ABSTRACT: Gene coexpression networks are a useful tool for summarizing transcriptomic data and providing insight into patterns of gene regulation in a variety of species. Though there has been considerable interest in studying the evolution of network topology across species, less attention has been paid to the relationship between network position and patterns of molecular evolution. Here, we generated coexpression networks from publicly available expression data for seven flowering plant taxa (Arabidopsis thaliana, Glycine max, Oryza sativa, Populus spp., Solanum lycopersicum, Vitis spp., and Zea mays) to investigate the relationship between network position and rates of molecular evolution. We found a significant negative correlation between network connectivity and rates of molecular evolution,

SUBMITTER: Masalia RR 

PROVIDER: S-EPMC5536297 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature