Abstract

BackgroundIn forest trees, genetic markers have been used to understand the genetic architecture of natural populations, identify quantitative trait loci, infer gene function, and enhance tree breeding. Recently, new, efficient technologies for genotyping thousands to millions of single nucleotide polymorphisms (SNPs) have finally made large-scale use of genetic markers widely available. These methods will be exceedingly valuable for improving tree breeding and understanding the ecological genetics of Douglas-fir, one of the most economically and ecologically important trees in the world.ResultsWe designed SNP assays for 55,766 potential SNPs that were discovered from previous transcriptome sequencing projects. We tested the array on ~ 2300 related and unrelated coastal Douglas-fir trees (Pseudotsuga menziesii var. menziesii) from Oregon and Washington, and 13 trees of interior Douglas-fir (P. menziesii var. glauca). As many as ~ 28 K SNPs were reliably genotyped and polymorphic, depending on the selected SNP call rate. To increase the number of SNPs and improve genome coverage, we developed protocols to ‘rescue’ SNPs that did not pass the default Affymetrix quality control criteria (e.g., 97% SNP call rate). Lowering the SNP call rate threshold from 97 to 60% increased the number of successful SNPs from 20,669 to 28,094. We used a subset of 395 unrelated trees to calculate SNP population genetic statistics for coastal Douglas-fir. Over a range of call rate thresholds (97 to 60%), the median call rate for SNPs in Hardy-Weinberg equilibrium ranged from 99.2 to 99.7%, and the median minor allele frequency ranged from 0.198 to 0.233. The successful SNPs also worked well on interior Douglas-fir.ConclusionsBased on the original transcriptome assemblies and comparisons to version 1.0 of the Douglas-fir reference genome, we conclude that these SNPs can be used to genotype about 10 K to 15 K loci. The Axiom genotyping array will serve as an excellent foundation for studying the population genomics of Douglas-fir and for implementing genomic selection. We are currently using the array to construct a linkage map and test genomic selection in a three-generation breeding program for coastal Douglas-fir.

Highlights

  • In forest trees, genetic markers have been used to understand the genetic architecture of natural populations, identify quantitative trait loci, infer gene function, and enhance tree breeding

  • We created a combined dataset of Single nucleotide polymorphism (SNP) described by Howe et al [17] and Müller et al [32]

  • The combined dataset was filtered using various criteria to arrive at the final set of SNPs tested on the array, which consisted of 52,578 SNPs from the Oregon State University (OSU) dataset and 3188 SNPs from the University of Hohenheim (UH) dataset

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Summary

Introduction

In forest trees, genetic markers have been used to understand the genetic architecture of natural populations, identify quantitative trait loci, infer gene function, and enhance tree breeding. New, efficient technologies for genotyping thousands to millions of single nucleotide polymorphisms (SNPs) have made large-scale use of genetic markers widely available These methods will be exceedingly valuable for improving tree breeding and understanding the ecological genetics of Douglas-fir, one of the most economically and ecologically important trees in the world. Single nucleotide polymorphisms (SNPs) have become the marker of choice for genetic studies in a wide array of organisms In forest trees, they are being used to understand the genetic architecture of natural populations, identify quantitative trait loci in pedigrees or natural populations, infer gene function, and assist tree breeding via parental analysis or genomic selection [1,2,3,4,5]. Genotyping arrays are better for repeatedly genotyping a common set of SNPs over time, across experiments, or in different populations

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