Literature DB >> 27485388

Unraveling gene function in agricultural species using gene co-expression networks.

Robert J Schaefer1, Jean-Michel Michno1, Chad L Myers2.   

Abstract

Co-expression networks have been shown to be a powerful tool for inferring a gene's function when little is known about it. With the advent of next generation sequencing technologies, the construction and analysis of co-expression networks is now possible in non-model species, including those with agricultural importance. Here, we review fundamental concepts in the construction and application of co-expression networks with a focus on agricultural crops. We survey past and current applications of co-expression network analysis in several agricultural species and provide perspective on important considerations that arise when analyzing network relationships. We conclude with a perspective on future directions and potential challenges of utilizing this powerful approach in crops. This article is part of a Special Issue entitled: Plant Gene Regulatory Mechanisms and Networks, edited by Dr. Erich Grotewold and Dr. Nathan Springer.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Agriculture; Co-expression; Crops; Functional genomics; Guilt-by-association; Network analysis

Mesh:

Year:  2016        PMID: 27485388     DOI: 10.1016/j.bbagrm.2016.07.016

Source DB:  PubMed          Journal:  Biochim Biophys Acta Gene Regul Mech        ISSN: 1874-9399            Impact factor:   4.490


  16 in total

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