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Summary

Published in BMC Genomics 19(1): 942. https://doi.org/10.1186/s12864-018-5247-z

Background Norway spruce [Picea abies (L.) Karst.] is ecologically and economically one of the most important conifer worldwide. Our main goal was to develop a large catalog of annotated high confidence gene SNPs that should sustain the development of genomic tools for the conservation of natural and domesticated genetic diversity resources, and hasten tree breeding efforts in this species.

Results Targeted sequencing was achieved by capturing P. abies exome with probes previously designed from the sequenced transcriptome of white spruce (Picea glauca (Moench) Voss). Capture efficiency was high (74.5%) given a high level of exome conservation between the two species. Using stringent criteria, we delimited a set of 61,771 high-confidence SNPs across 13,543 genes. To validate SNPs, a high-throughput genotyping array was developed for a subset of 5571 predicted SNPs representing as many different gene loci, and was used to genotype over 1000 trees. The estimated true positive rate of the resource was 84.2%, which was comparable with the genotyping success rate obtained for P. abies control SNPs recycled from previous genotyping efforts. We also analyzed SNP abundance across various gene functional categories. Several GO terms and gene families involved in stress response were found over-represented in highly polymorphic genes.

Conclusion The annotated high-confidence SNP catalog developed herein represents a valuable genomic resource, being representative of over 13 K genes distributed across the P. abies genome. This resource should serve a variety of population genomics and breeding applications in Norway spruce.

Sector(s): 

Forests

Categorie(s): 

Scientific Article

Theme(s): 

Forest Tree Breeding, Forestry Research, Forests

Departmental author(s): 

Author(s)

AZAIEZ, Aïda, Nathalie PAVY, Sébastien GÉRARDI, Jérôme LAROCHE, Brian BOYLE, France GAGNON, Marie-Josée MOTTET, Jean BEAULIEU and Jean BOUSQUET

Year of publication :

2018

Format :

PDF available upon request

ISSN

1471-2164

Keywords :

conifère, séquençage de l'exome, SNP de gène annoté, épinette de Norvège, amélioration génétique des arbres, article scientifique de recherche forestière, Picea abies, forest tree breeding, Norway spruce, conifer, exome sequencing, annotated gene SNPs, Illumina Infinium iSelect array, Illumina MiSeq, tree improvement

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