Comparative transcriptomics of a complex of four European pine species

Wachowiak, Witold; Trivedi, Urmi; Perry, Annika ORCID: https://orcid.org/0000-0002-7889-7597; Cavers, Stephen ORCID: https://orcid.org/0000-0003-2139-9236. 2015 Comparative transcriptomics of a complex of four European pine species. BMC Genomics, 16, 234. https://doi.org/10.1186/s12864-015-1401-z

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Abstract/Summary

Background: Pinus sylvestris, P. mugo, P. uliginosa and P. uncinata are closely related but phenotypically and ecologically very distinct European pine species providing an excellent study system for analysis of the genetic basis of adaptive variation and speciation. For comparative genomic analysis of the species, transcriptome sequence was generated for 17 samples collected across the European distribution range using Illumina paired-end sequencing technology. Results: De novo transcriptome assembly of a reference sample of P. sylvestris contained 40968 unigenes, of which fewer than 0.5% were identified as putative retrotransposon sequences. Based on gene annotation approaches, 19659 contigs were identified and assigned to unique genes covering a broad range of gene ontology categories. About 80% of the reads from each sample were successfully mapped to the reference transcriptome of P. sylvestris. Single nucleotide polymorphisms were identified in 22041-24096 of the unigenes providing a set of ~220-262 k SNPs identified for each species. Very similar levels of nucleotide polymorphism were observed across species (π=0.0044-0.0053) and highest pairwise nucleotide divergence (0.006) was found between P. mugo and P. sylvestris at a common set of unigenes. Conclusions: The study provides whole transcriptome sequence and a large set of SNPs to advance population and association genetic studies in pines. Our study demonstrates that transcriptome sequencing can be a very useful approach for development of novel genomic resources in species with large and complex genomes.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1186/s12864-015-1401-z
UKCEH and CEH Sections/Science Areas:	Watt
ISSN:	1471-2164
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link
Additional Keywords:	genomics, transcriptome, genetics
NORA Subject Terms:	Ecology and Environment Biology and Microbiology
Date made live:	24 Mar 2015 16:39 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/510427

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