Common garden experiments in the genomic era: new perspectives and opportunities.
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.
Université Joseph Fourier, Centre National de la Recherche Scientifique, LECA, UMR 5553, Saint Martin d'Hères, France.
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de Villemereuil
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.
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Gaggiotti
Université Joseph Fourier, Centre National de la Recherche Scientifique, LECA, UMR 5553, Saint Martin d'Hères, France.
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Mouterde
Université Joseph Fourier, Centre National de la Recherche Scientifique, LECA, UMR 5553, Saint Martin d'Hères, France.
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Till-Bottraud
D000222:Adaptation, Physiological / Q000235:genetics*; D005075:Biological Evolution; D003627:Data Interpretation, Statistical; D004777:Environment; D056726:Genetic Association Studies; D005819:Genetic Markers; D023281:Genomics / Q000379:methods*; D005838:Genotype; D059014:High-Throughput Nucleotide Sequencing; D008957:Models, Genetic; D010641:Phenotype
D005819:Genetic Markers