当前位置: X-MOL 学术Annu. Rev. Genet. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
New Horizons for Dissecting Epistasis in Crop Quantitative Trait Variation.
Annual Review of Genetics ( IF 8.7 ) Pub Date : 2020-11-23 , DOI: 10.1146/annurev-genet-050720-122916
Sebastian Soyk 1 , Matthias Benoit 2, 3 , Zachary B Lippman 2, 3
Affiliation  

Uncovering the genes, variants, and interactions underlying crop diversity is a frontier in plant genetics. Phenotypic variation often does not reflect the cumulative effect of individual gene mutations. This deviation is due to epistasis, in which interactions between alleles are often unpredictable and quantitative in effect. Recent advances in genomics and genome-editing technologies are elevating the study of epistasis in crops. Using the traits and developmental pathways that were major targets in domestication and breeding, we highlight how epistasis is central in guiding the behavior of the genetic variation that shapes quantitative trait variation. We outline new strategies that illuminate how quantitative epistasis from modified gene dosage defines background dependencies. Advancing our understanding of epistasis in crops can reveal new principles and approaches to engineering targeted improvements in agriculture.

中文翻译:


剖析作物数量性状变异中上位性的新视野。

揭示作物多样性背后的基因,变异和相互作用是植物遗传学的前沿领域。表型变异通常不能反映单个基因突变的累积效应。这种偏差是由于上位性所致,其中等位基因之间的相互作用通常是不可预测的且实际上是定量的。基因组学和基因组编辑技术的最新进展正在提升对作物上位性的研究。利用作为驯化和育种的主要目标的性状和发育途径,我们强调了上位性在指导塑造定量性状变异的遗传变异行为中的重要性。我们概述了新的策略,阐明了修饰基因剂量的定量上位性如何定义背景依赖性。

更新日期:2020-11-25
down
wechat
bug