Identification and high-throughput genotyping of single nucleotide polymorphism markers in a non-model conifer (Abies nordmanniana (Steven) Spach)

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Single nucleotide polymorphism (SNP) markers are powerful tools for investigating population structures, linkage analysis, and genome-wide association studies, as well as for breeding and population management. The availability of SNP markers has been limited to the most commercially important timber species, primarily due to the cost of genome sequencing required for SNP discovery. In this study, a combination of reference-based and reference-free approaches were used to identify SNPs in Nordmann fir (Abies nordmanniana), a species previously lacking genomic sequence information. Using a combination of a genome assembly of the closely related Silver fir (Abies alba) species and a de novo assembly of low-copy regions of the Nordmann fir genome, we identified a high density of reliable SNPs. Reference-based approaches identified two million SNPs in common between the Silver fir genome and low-copy regions of Nordmann fir. A combination of one reference-free and two reference-based approaches identified 250 shared SNPs. A subset of 200 SNPs were used to genotype 342 individuals and thereby tested and validated in the context of identity analysis and/or clone identification. The tested SNPs successfully identified all ramets per clone and five mislabeled individuals via identity and genomic relatedness analysis. The identified SNPs will be used in ad hoc breeding of Nordmann fir in Denmark.

OriginalsprogEngelsk
Artikelnummer22488
TidsskriftScientific Reports
Vol/bind13
Antal sider13
ISSN2045-2322
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
We thank the Nature agency in Denmark for providing seed samples for the study and allowing us access to FP.266; field worker Timothy Robert Dowse for helping with sample collection; lab technician Lene Hasmark Andersen and student assistant Camilla Frost Holm for preparing samples for DNA extraction; Sabine Osterkamp from Biosearch Technologies LGC for DNA extractions; KU Science for providing free access to Computerome 2.0; and the Green Development and Demonstration Program [Grønt Udviklings- og Demonstrations program (GUDP)—Grant number: 34009-16-1081] for financial support.

Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801199.

Publisher Copyright:
© 2023, The Author(s).

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