AI Article Synopsis
- Co-expression networks help determine gene functions, especially when little is known about specific genes, making them a valuable tool in genetics.
- Advances in next-generation sequencing have enabled the construction of these networks in non-model species, highlighting their relevance in important agricultural crops.
- The review covers key concepts, applications in agriculture, and future challenges of using co-expression networks in crop science, emphasizing the potential for improved understanding of plant gene regulation.
Article 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.
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| http://dx.doi.org/10.1016/j.bbagrm.2016.07.016 | DOI Listing |
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