Ross-Ibarra Jeffrey, Morrell Peter L, Gaut Brandon S
Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697-2525, USA.
Proc Natl Acad Sci U S A. 2007 May 15;104 Suppl 1(Suppl 1):8641-8. doi: 10.1073/pnas.0700643104. Epub 2007 May 9.
Despite the fundamental role of plant domestication in human history and the critical importance of a relatively small number of crop plants to modern societies, we still know little about adaptation under domestication. Here we focus on efforts to identify the genes responsible for adaptation to domestication. We start from a historical perspective, arguing that Darwin's conceptualization of domestication and unconscious selection provides valuable insight into the evolutionary history of crops and also provides a framework to evaluate modern methods used to decipher the genetic mechanisms underlying phenotypic change. We then review these methods, framing the discussion in terms of the phenotype-genotype hierarchy. Top-down approaches, such as quantitative trait locus and linkage disequilibrium mapping, start with a phenotype of interest and use genetic analysis to identify candidate genes. Bottom-up approaches, alternatively, use population genetic analyses to identify potentially adaptive genes and then rely on standard bioinformatics and reverse genetic tools to connect selected genes to a phenotype. We discuss the successes, advantages, and challenges of each, but we conclude that bottom-up approaches to understanding domestication as an adaptive process hold greater promise both for the study of adaptation and as a means to identify genes that contribute to agronomically important traits.
尽管植物驯化在人类历史中具有基础性作用,且相对少数的作物对现代社会至关重要,但我们对驯化过程中的适应性仍然知之甚少。在此,我们聚焦于识别驯化适应性相关基因的研究工作。我们从历史角度出发,认为达尔文对驯化和无意识选择的概念化理解为作物进化史提供了宝贵见解,也为评估用于解读表型变化潜在遗传机制的现代方法提供了框架。接着,我们回顾这些方法,依据表型 - 基因型层次结构展开讨论。自上而下的方法,如数量性状位点和连锁不平衡作图,从感兴趣的表型入手,利用遗传分析来识别候选基因。相反,自下而上的方法则运用群体遗传学分析来识别潜在的适应性基因,然后依靠标准生物信息学和反向遗传学工具将选定基因与表型联系起来。我们讨论了每种方法的成功之处、优势和挑战,但得出的结论是,将驯化视为一个适应性过程的自下而上方法,在适应性研究以及识别对农艺重要性状有贡献的基因方面都更具前景。