生物
全基因组关联研究
遗传建筑学
上位性
数量性状位点
遗传学
基因组
遗传关联
计算生物学
遗传变异
特质
基因
单核苷酸多态性
基因型
计算机科学
程序设计语言
作者
Choghag Demirjian,Fabienne Vailleau,Richard Berthomé,Fabrice Roux
标识
DOI:10.1016/j.tplants.2022.11.006
摘要
Harnessing natural genetic variation is an established alternative to artificial genetic variation for investigating the molecular dialog between partners in plant pathosystems. Herein, we review the successes of genome-wide association studies (GWAS) in both plants and pathogens. While GWAS in plants confirmed that the genetic architecture of disease resistance is polygenic, dynamic during the infection kinetics, and dependent on the environment, GWAS shortened the time of identification of quantitative trait loci (QTLs) and revealed both complex epistatic networks and a genetic architecture dependent upon the geographical scale. A similar picture emerges from the few GWAS in pathogens. In addition, the ever-increasing number of functionally validated QTLs has revealed new molecular plant defense mechanisms and pathogenicity determinants. Finally, we propose recommendations to better decode the disease triangle.
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