Journal
MOLECULAR ECOLOGY RESOURCES
Volume 21, Issue 3, Pages 849-870Publisher
WILEY
DOI: 10.1111/1755-0998.13289
Keywords
adaptation; agriculture; climate change; ecological genetics; landscape genetics; quantitative genetics
Funding
- FACCE-JPI ERA-NET+ call Climate Smart Agriculture [618105]
- European Commission (EC) [618105]
- Marie-Curie FP7 COFUND People Program [609398]
- BBSRC [BBS/E/W/10962A01B, BB/M018393/1] Funding Source: UKRI
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This study identified adaptive loci in perennial ryegrass using a combination of Genome-Environment Association (GEA) and GWAS analyses, as well as a new test based on Canonical Correlation Analysis (CANCOR). The gene annotation was improved through de novo gene prediction and functional annotation of over 39,000 genes. The results revealed potential polygenic and oligogenic climatic adaptations and highlighted the utility of CANCOR for investigating gene interactions involved in polygenic adaptations.
Germplasm from perennial ryegrass (Lolium perenne L.) natural populations is useful for breeding because of its adaptation to a wide range of climates. Climate-adaptive genes can be detected from associations between genotype, phenotype and climate but an integrated framework for the analysis of these three sources of information is lacking. We used two approaches to identify adaptive loci in perennial ryegrass and their effect on phenotypic traits. First, we combined Genome-Environment Association (GEA) and GWAS analyses. Then, we implemented a new test based on a Canonical Correlation Analysis (CANCOR) to detect adaptive loci. Furthermore, we improved the previous perennial ryegrass gene set by de novo gene prediction and functional annotation of 39,967 genes. GEA-GWAS revealed eight outlier loci associated with both environmental variables and phenotypic traits. CANCOR retrieved 633 outlier loci associated with two climatic gradients, characterized by cold-dry winter versus mild-wet winter and long rainy season versus long summer, and pointed out traits putatively conferring adaptation at the extremes of these gradients. Our CANCOR test also revealed the presence of both polygenic and oligogenic climatic adaptations. Our gene annotation revealed that 374 of the CANCOR outlier loci were positioned within or close to a gene. Co-association networks of outlier loci revealed a potential utility of CANCOR for investigating the interaction of genes involved in polygenic adaptations. The CANCOR test provides an integrated framework to analyse adaptive genomic diversity and phenotypic responses to environmental selection pressures that could be used to facilitate the adaptation of plant species to climate change.
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