Abstract

AbstractGenotyping of lentil plant genetic resources holds the promise to increase the identification and utilization of useful genetic diversity for crop improvement. The International Center for Agriculture Research in the Dry Areas (ICARDA) lentil reference set plus collection of 176 accessions was genotyped using genotyping-by-sequencing (GBS) and 22,555 SNPs were identified. The population structure was investigated using Bayesian analysis (STRUCTURE, k = 3) and principal component analysis. The two methods are in concordance. Genome-wide association analysis (GWAS) using the filtered SNP set and ICARDA historical phenotypic data discovered putative markers for several agronomic traits including days to first flower, seeds per pod, seed weight and days to maturity. The genetic and genomic resources developed and utilized in this study are available to the research community interested in exploring the ICARDA reference set plus collection using GWAS.

Highlights

  • Lentil (Lens culinaris Medik.) is an important protein crop

  • The collection of 176 accessions was analysed for subpopulation structure using two methods: a Bayesian clustering method and Principal component analysis (PCA) based on the SNP genotypes

  • SNP genotyping of the entire USDA + 18 K soybean collection has been used in 124 research studies (Song et al, 2015)

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Summary

Introduction

Lentil (Lens culinaris Medik.) is an important protein crop. It is a diploid (2n = 2x = 14) and possesses a large genome (*4 Gbp) (Arumuganathan and Earle, 1991). In order to bridge the demand-supply gap, efforts are required to accelerate the genetic gain, which is abysmally low mainly due to the narrow genetic base of cultivated lentil. This presents a serious barrier towards developing cultivars for future needs (Lombardi et al, 2014; Khazaei et al, 2016).

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