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

Autor: Zhen Li, Juan J. Acosta, Jaana Vuosku, Tanja Pyhäjärvi, Jaakko S Tyrmi, María Teresa Cervera, Lieven Sterck, Outi Savolainen
Jazyk: angličtina
Rok vydání: 2020
Předmět:
0106 biological sciences
SELECTION
LINKAGE DISEQUILIBRIUM
Range (biology)
population genetics - empirical
Species distribution
adaptation
QH426-470
01 natural sciences
pinus sylvestris
Nucleotide diversity
POPULUS-TRICHOCARPA
Genetics(clinical)
NUCLEOTIDE DIVERSITY
Genetics (clinical)
0303 health sciences
QUANTITATIVE TRAIT LOCI
targeted dna sequencing
Pinus sylvestris
Genomics
Structural Variation
Adaptation
Physiological

CLIMATIC ADAPTATION
local adaptation
gymnosperms
Local adaptation
Climatic adaptation
MOLECULAR MARKERS
Investigations
Biology
010603 evolutionary biology
population genetics – empirical
03 medical and health sciences
Targeted DNA Sequencing
Genetics
POPULATION-STRUCTURE
Selection
Genetic

Keystone species
SCOTS PINE
Molecular Biology
Ecosystem
030304 developmental biology
Genetic diversity
Human evolutionary genetics
COMPLEX TRAITS
structural variation
Genetic Variation
Biology and Life Sciences
landscape genetics
15. Life on land
Pinus
Genetics
Population

Evolutionary biology
Tree breeding
Adaptation
Zdroj: G3: Genes, Genomes, Genetics, Vol 10, Iss 8, Pp 2683-2696 (2020)
G3-GENES GENOMES GENETICS
G3: Genes|Genomes|Genetics
ISSN: 2160-1836
Popis: 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 background often remains elusive. We examined the patterns of genetic diversity inPinus 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. MakingP. sylvestrisan 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 found that several coding loci contribute to local adaptation. We also discovered a very large (ca. 300 Mbp) putative inversion with a signal of local adaptation, 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 to the need for more attention towards multi-locus analysis of polygenic adaptation.
Databáze: OpenAIRE