Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland.
Biodiversity and Conservation Biology, WSL Swiss Federal Research Institute, Birmensdorf, Switzerland.
Mol Ecol. 2018 Feb;27(3):606-612. doi: 10.1111/mec.14499. Epub 2018 Feb 27.
Over the last decade, the genomic revolution has offered the possibility to generate tremendous amounts of data that contain valuable information on the genetic basis of phenotypic traits, such as those linked to human diseases or those that allow for species to adapt to a changing environment. Most ecologically relevant traits are controlled by a large number of genes with small individual effects on trait variation, but that are connected with one another through complex developmental, metabolic and biochemical networks. As a result, it has recently been suggested that most adaptation events in natural populations are reached via correlated changes at multiple genes at a time, for which the name polygenic adaptation has been coined. The current challenge is to develop methods to extract the relevant information from genomic data to detect the signature of polygenic evolutionary change. The symposium entitled "Detecting the Genomic Signal of Polygenic Adaptation and the Role of Epistasis in Evolution" held in 2017 at the University of Zürich aimed at reviewing our current state of knowledge. In this review, we use the talks of the invited speakers to summarize some of the most recent developments in this field.
在过去的十年中，基因组革命提供了生成大量数据的可能性，这些数据包含有关表型特征遗传基础的有价值信息，例如与人类疾病相关的特征或使物种能够适应不断变化的环境的特征。大多数生态上相关的特征受大量基因控制，这些基因对性状变异的影响很小，但通过复杂的发育、代谢和生化网络相互关联。因此，最近有人提出，自然种群中的大多数适应事件都是通过一次多个基因的相关变化来实现的，为此创造了多基因适应这个术语。当前的挑战是开发从基因组数据中提取相关信息的方法，以检测多基因进化变化的特征。2017 年在苏黎世大学举行的题为“检测多基因适应的基因组信号和上位性在进化中的作用”的研讨会旨在审查我们目前的知识状况。在这篇综述中，我们使用特邀演讲者的演讲来总结该领域的一些最新进展。
