Development of a single nucleotide polymorphism array for population genomic studies in four European pine species

Perry, Annika ORCID: https://orcid.org/0000-0002-7889-7597; Wachowiak, Witold; Downing, Alison; Talbot, Richard; Cavers, Stephen ORCID: https://orcid.org/0000-0003-2139-9236. 2020 Development of a single nucleotide polymorphism array for population genomic studies in four European pine species. Molecular Ecology Resources, 20 (6). 1697-1705. https://doi.org/10.1111/1755-0998.13223

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Abstract/Summary

Pines are some of the most ecologically and economically important tree species in the world, and many have enormous natural distributions or have been extensively planted. However, a lack of rapid genotyping capability is hampering progress in understanding the molecular basis of genetic variation in these species. Here, we deliver an efficient tool for genotyping thousands of single nucleotide polymorphism (SNP) markers across the genome that can be applied to genetic studies in pines. Polymorphisms from resequenced candidate genes and transcriptome sequences of P. sylvestris, P. mugo, P. uncinata, P. uliginosa and P. radiata were used to design a 49,829 SNP array (Axiom_PineGAP, Thermo Fisher). Over a third (34.68%) of the unigenes identified from the P. sylvestris transcriptome were represented on the array, which was used to screen samples of four pine species. The conversion rate for the array on all samples was 42% (N = 20,795 SNPs) and was similar for SNPs sourced from resequenced candidate gene and transcriptome sequences. The broad representation of gene ontology terms by unigenes containing converted SNPs reflected their coverage across the full transcriptome. Over a quarter of successfully converted SNPs were polymorphic among all species, and the data were successful in discriminating among the species and some individual populations. The SNP array provides a valuable new tool to advance genetic studies in these species and demonstrates the effectiveness of the technology for rapid genotyping in species with large and complex genomes.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1111/1755-0998.13223
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-)
ISSN:	1755-098X
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	divergence, genotyping, natural selection, polymorphism, SNP array, speciation
NORA Subject Terms:	Ecology and Environment
Date made live:	04 Nov 2020 14:19 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/528836

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