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.
|Original language||English (US)|
|Number of pages||11|
|Journal||Biochimica et Biophysica Acta - Gene Regulatory Mechanisms|
|State||Published - Jan 1 2017|
Bibliographical noteFunding Information:
RJS and CLM were partially supported by Grant DBI-0953881 and Grant IOS-1126950 from the National Science Foundation. CLM is partially supported by the CIFAR Genetic Networks Program. RJS is supported by Grant 2016-67012-24841 from the National Institute of Food and Agriculture. JMM is supported by a Biomedical Informatics and Computational Biology (BICB) Graduate Fellowship.
© 2016 Elsevier B.V.
Copyright 2017 Elsevier B.V., All rights reserved.
- Functional genomics
- Network analysis