State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China; email:
Gregor Mendel Institute, Austrian Academy of Sciences, Vienna BioCenter, 1030 Vienna, Austria; email:
Annu Rev Plant Biol. 2021 Jun 17;72:357-385. doi: 10.1146/annurev-arplant-080720-090632. Epub 2021 Jan 22.
Crops feed the world's population and shape human civilization. The improvement of crop productivity has been ongoing for almost 10,000 years and has evolved from an experience-based to a knowledge-driven practice over the past three decades. Natural alleles and their reshuffling are long-standing genetic changes that affect how crops respond to various environmental conditions and agricultural practices. Decoding the genetic basis of natural variation is central to understanding crop evolution and, in turn, improving crop breeding. Here, we review current advances in the approaches used to map the causal alleles of natural variation, provide refined insights into the genetics and evolution of natural variation, and outline how this knowledge promises to drive the development of sustainable agriculture under the dome of emerging technologies.
作物养活了世界人口,塑造了人类文明。近 10000 年来,作物生产力一直在提高,在过去的三十年中,它已经从经验驱动的实践演变为知识驱动的实践。自然等位基因及其重排是长期存在的遗传变化,影响作物对各种环境条件和农业实践的反应。解码自然变异的遗传基础是理解作物进化的核心,进而改进作物育种。在这里,我们回顾了用于映射自然变异因果等位基因的方法的最新进展,深入了解了自然变异的遗传学和进化,并概述了这些知识如何有望在新兴技术的框架下推动可持续农业的发展。