Genomics of Clinal Local Adaptation in Pinus sylvestris Under Continuous Environmental and Spatial Genetic Setting

• Published in: G3 : genes - genomes - genetics Vol. 10; no. 8; pp. 2683 - 2696
• Main Authors: Tyrmi, Jaakko S, Vuosku, Jaana, Acosta, Juan J, Li, Zhen, Sterck, Lieven, Cervera, Maria T, Savolainen, Outi, Pyhäjärvi, Tanja
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 01.08.2020; Genetics Society of America
• Subjects: Adaptation; Genomics; gymnosperms; Investigations; landscape genetics; local adaptation; pinus sylvestris; population genetics – empirical; structural variation; targeted dna sequencing; Targeted DNA Sequencing; gymnosperms; Local adaptation; population genetics – empirical; adaptation; landscape genetics; Structural Variation; Pinus sylvestris
• DOI: 10.1534/g3.120.401285
• ISSN: 2160-1836

Abstract Understanding the consequences of local adaptation at the genomic diversity is a central goal in evolutionary genetics of natural populations. In species with large continuous geographical distributions the phenotypic signal of local adaptation is frequently clear, but the genetic basis often remains elusive. We examined the patterns of genetic diversity in Pinus sylvestris, a keystone species in many Eurasian ecosystems with a huge distribution range and decades of forestry research showing that it is locally adapted to the vast range of environmental conditions. Making P. sylvestris an even more attractive subject of local adaptation study, population structure has been shown to be weak previously and in this study. However, little is known about the molecular genetic basis of adaptation, as the massive size of gymnosperm genomes has prevented large scale genomic surveys. We generated a both geographically and genomically extensive dataset using a targeted sequencing approach. By applying divergence-based and landscape genomics methods we identified several loci contributing to local adaptation, but only few with large allele frequency changes across latitude. We also discovered a very large (ca. 300 Mbp) putative inversion potentially under selection, which to our knowledge is the first such discovery in conifers. Our results call for more detailed analysis of structural variation in relation to genomic basis of local adaptation, emphasize the lack of large effect loci contributing to local adaptation in the coding regions and thus point out the need for more attention toward multi-locus analysis of polygenic adaptation.