THE PROMISE OF EQTL STUDIES IN DISSECTING CROP GENETIC BASIS AND EVOLUTION

文献类型： 外文期刊

第一作者： Fu, Junjie

作者： Fu, Junjie;Wang, Guoying;Leng, Pengfei;Zhao, Jun

作者机构：

关键词： eQTL mapping; regulatory network; causal genes; evolution; crops

期刊名称：ANNUAL PLANT REVIEWS ONLINE （ 影响因子：1.6； 五年影响因子：3.2 ）

ISSN：

年卷期： 2022 年 5 卷 2 期

页码：

收录情况： SCI

摘要： Most traits important for crop production are affected by poly-morphisms in the genome. The application of genome-wide association studies (GWASs) has analysed numerous genetic loci controlling complex traits, highlight-ing the significant roles of non-coding regulatory variants and networks. During the past decade, there have been continuous advancements in high-throughput RNA sequencing technology applied to crop genomes, along with expression quantitative trait locus (eQTL) mapping based on GWASs with diverse lines. These developments have facilitated considerably superior resolution to uncover the detailed genetic basis of whole transcriptomic variation, which can connect DNA polymorphism to individual genes and provide an effective approach to elucidate the regulatory networks underlying phenotypes. In this article, we comprehensively summarise the technical and computational considerations of eQTL mapping, especially using RNA sequencing of association populations. Through integration with trans hotspots, response or dynamic eQTLs, and network analyses, eQTL studies on crops aid in understanding the regulatory networks and connections among genes in metabolic pathways, development, or response to stimuli. We outline the approaches to integrate eQTL results with GWASs, which can greatly improve the possibility of identifying causal genes and regulatory networks responsible for complex traits. Regulation information from eQTL mapping can also be used to elucidate the divergence and stabilisation of gene expression during crop evolution. Although facing several technical challenges and presently limited to a few sample points in crops, eQTL studies hold great potential for advancing our knowledge of the genomic base and evolution of complex traits, and supports molecular breeding of crops.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序