Genomic signatures of natural selection at phenology-related genes in a widely distributed tree species Fagus sylvatica L
| Autor: | Jaroslaw Burczyk, Bartosz Ulaszewski, Joanna Meger |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Sequence capture
0106 biological sciences 0301 basic medicine Range (biology) Local adaptation Forest tree QH426-470 010603 evolutionary biology 01 natural sciences Candidate genes Trees 03 medical and health sciences Fagus sylvatica Fagus Genetics Humans Selection Genetic Beech Genetic diversity Natural selection biology Phenology Research Genomics biology.organism_classification Europe Genotype-environment association 030104 developmental biology Bud-burst phenology Evolutionary biology Adaptation TP248.13-248.65 Biotechnology |
| Zdroj: | BMC Genomics BMC Genomics, Vol 22, Iss 1, Pp 1-20 (2021) |
| ISSN: | 1471-2164 |
| DOI: | 10.1186/s12864-021-07907-5 |
| Popis: | Background Diversity among phenology-related genes is predicted to be a contributing factor in local adaptations seen in widely distributed plant species that grow in climatically variable geographic areas, such as forest trees. European beech (Fagus sylvatica L.) is widespread, and is one of the most important broadleaved tree species in Europe; however, its potential for adaptation to climate change is a matter of uncertainty, and little is known about the molecular basis of climate change-relevant traits like bud burst. Results We explored single nucleotide polymorphisms (SNP) at candidate genes related to bud burst in beech individuals sampled across 47 populations from Europe. SNP diversity was monitored for 380 candidate genes using a sequence capture approach, providing 2909 unlinked SNP loci. We used two complementary analytical methods to find loci significantly associated with geographic variables, climatic variables (expressed as principal components), or phenotypic variables (spring and autumn phenology, height, survival). Redundancy analysis (RDA) was used to detect candidate markers across two spatial scales (entire study area and within subregions). We revealed 201 candidate SNPs at the broadest scale, 53.2% of which were associated with phenotypic variables. Additive polygenic scores, which provide a measure of the cumulative signal across significant candidate SNPs, were correlated with a climate variable (first principal component, PC1) related to temperature and precipitation availability, and spring phenology. However, different genotype-environment associations were identified within Southeastern Europe as compared to the entire geographic range of European beech. Conclusions Environmental conditions play important roles as drivers of genetic diversity of phenology-related genes that could influence local adaptation in European beech. Selection in beech favors genotypes with earlier bud burst under warmer and wetter habitats within its range; however, selection pressures may differ across spatial scales. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink