de Villemereuil P, Gaggiotti O E, Mouterde M, Till-Bottraud I
Université Joseph Fourier, Centre National de la Recherche Scientifique, LECA, UMR 5553, Saint Martin d'Hères, France.
Scottish Oceans Institute, University of St Andrews, Fife, UK.
Heredity (Edinb). 2016 Mar;116(3):249-54. doi: 10.1038/hdy.2015.93. Epub 2015 Oct 21.
The study of local adaptation is rendered difficult by many evolutionary confounding phenomena (for example, genetic drift and demographic history). When complex traits are involved in local adaptation, phenomena such as phenotypic plasticity further hamper evolutionary biologists to study the complex relationships between phenotype, genotype and environment. In this perspective paper, we suggest that the common garden experiment, specifically designed to deal with phenotypic plasticity, has a clear role to play in the study of local adaptation, even (if not specifically) in the genomic era. After a quick review of some high-throughput genotyping protocols relevant in the context of a common garden, we explore how to improve common garden analyses with dense marker panel data and recent statistical methods. We then show how combining approaches from population genomics and genome-wide association studies with the settings of a common garden can yield to a very efficient, thorough and integrative study of local adaptation. Especially, evidence from genomic (for example, genome scan) and phenotypic origins constitute independent insights into the possibility of local adaptation scenarios, and genome-wide association studies in the context of a common garden experiment allow to decipher the genetic bases of adaptive traits.
许多进化混杂现象(例如,遗传漂变和种群历史)使得局部适应性的研究变得困难。当复杂性状涉及局部适应性时,诸如表型可塑性等现象进一步阻碍了进化生物学家对表型、基因型和环境之间复杂关系的研究。在这篇观点论文中,我们认为专门设计用于应对表型可塑性的共同花园实验,在局部适应性研究中能发挥明确作用,即便(如果不是专门针对)在基因组时代也是如此。在快速回顾一些与共同花园背景相关的高通量基因分型方案后,我们探讨如何利用密集标记面板数据和最新统计方法改进共同花园分析。然后我们展示了如何将群体基因组学和全基因组关联研究的方法与共同花园的设置相结合,从而对局部适应性进行非常高效、全面和综合的研究。特别是,来自基因组(例如,基因组扫描)和表型来源的证据构成了对局部适应情景可能性的独立见解,并且在共同花园实验背景下的全基因组关联研究能够解析适应性性状的遗传基础。