Back to Search Start Over

Adaptive genetic structure in ecologically marginalpopulations of European Silver Fir (Abies alba MILL.) atthe south-western Mediterranean pre-Alps of France

Authors :
Roschanski Anna Maria
Ziegenhagen, Birgit (Prof. Dr.)
Publication Year :
2016
Publisher :
Philipps-Universität Marburg, Fachbereich Biologie, 2016.

Abstract

Coniferous trees are of major economic and ecologic importance. Yet, they are genomically poorly studied, because their long generation times, their high levels of heterozygosity and their huge genomes impede the access to conifer genomic resources. The European silver fir (Abies alba MILL) is widely distributed across diverse habitats in mountainous areas of temperate Europe. The species is of high value for forestry due to its high quality timber and its ecosystem functions such as erosion control and landslide prevention. Using next-generation sequencing the first silver fir transcriptome was sequenced and annotated. The annotation protocol lead to the identification of 460 candidate genes that are putatively involved in environmental stress resistance. Additionally, the transcriptomes of twelve more individuals were sequenced. Subsequent SNP detection produced on average 24580 SNPs per individual. For the SNPs that lie on the annotated candidate genes, a KASP genotyping assay was designed that allows for the fast and cost efficient genotyping of many A. alba trees. In the Mediterranean Basin, A. alba occurs in isolated and comparatively small populations. Recently, strong die-off events were observed in these populations, likely as a result of severe droughts. In the course of climate change, droughts are predicted to increase further in frequency and severity endangering the persistence of Mediterranean A. alba populations. Particularly these populations may, however, be of special value for the adaptive potential of the whole species since they may harbor genetic resources preadapted to relatively xeric environments. There is an ongoing debate about assisted migration, i.e. the transplantation of Mediterranean A. alba populations to more northern population in order to use them as donors of drought adapted alleles. To elucidate the question whether the idea of assisted migration is practical, knowledge about the state of local adaptation, its molecular basis and its environmental drivers is needed. Here, 376 individuals from high and low elevational populations which are located along a 170 km eastwest transect across four mountains in the south-western Mediterranean pre-Alps of France were investigated at 267 SNP loci distributed across 175 candidate genes. The methodological framework of landscape genetics was applied. Results of Bayesian cluster analysis showed that the dominant genetic pattern coincides with an east-west isolation-by-distance genetic structure, likely a result of post-glacial recolonization movement. Fst-outlier tests revealed 16 SNPs under divergent selection. Significant associations of allele frequencies of eight SNPs and winter drought were detected suggesting that this variable is a strong driver of local adaptation. Correlations tests of genetic distance of a subset of outlier loci and environmental distance demonstrated that isolation-by-environment occurs along altitude. Reanalysis of published common garden phenotypic data using Qst-Fst comparisons revealed adaptive divergence of bud flush and growth rate at the coldest and most humid site. The thesis illustrates a complex pattern of genetic structure in ecologically marginal populations that is shaped by demography and natural selection. It highlights that local adaptation is site specific in terms of both the genes under selection and the environmental drivers. Hence, whether a population is suitable to be the subject of assisted migration would have to be answered individually. Since this is highly impractical, the thesis states that in-situ conservation of marginal populations is the best option to ensure the capacity of evolutionary change in A. alba and to support the species’ ability to cope with the challenges of a rapidly changing climate.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od........13..2cdce462015f68a82c1eced833537426