a
BIOGECO, UMR 1202, INRA, Cestas, France
b BIOGECO, UMR 1202, University of Bordeaux, Talence,
b BIOGECO, UMR 1202, University of Bordeaux, Talence,
Abstract
Maritime pine
provides essential ecosystem services in the south-western Mediterranean
basin, where it covers around 4 million ha. Its scattered distribution
over a range of environmental conditions makes it an ideal forest tree
species for studies of local adaptation and evolutionary responses to
climatic change. Highly multiplexed single nucleotide polymorphism (SNP)
genotyping arrays are increasingly used to study genetic variation in
living organisms and for practical applications in plant and animal
breeding and genetic resource conservation. We developed a 9k Illumina
Infinium SNP array and genotyped maritime pine trees from (i) a
three-generation inbred (F2) pedigree, (ii) the French breeding
population and (iii) natural populations from Portugal
and the French Atlantic coast. A large proportion of the exploitable
SNPs (2052/8410, i.e. 24.4%) segregated in the mapping population and
could be mapped, providing the densest ever gene-based linkage map for
this species. Based on 5016 SNPs, natural and breeding populations from
the French gene pool exhibited similar level of genetic diversity.
Population genetics and structure analyses based on 3981 SNP markers
common to the Portuguese and French gene pools revealed high levels of
differentiation, leading to the identification of a set of highly
differentiated SNPs that could be used for seed provenance
certification. Finally, we discuss how the validated SNPs could
facilitate the identification of ecologically and economically relevant
genes in this species, improving our understanding of the demography and
selective forces shaping its natural genetic diversity, and providing
support for new breeding strategies. © 2016 John Wiley & Sons Ltd.
Author keywords
Linkage mapping; Maritime pine; Population genetics; Single nucleotide polymorphism
ISSN: 1755098XSource Type: Journal
Original language: English
DOI: 10.1111/1755-0998.12464Document Type: Article
Publisher: Blackwell Publishing Ltd