High-density genetic map using whole-genome resequencing for fine mapping and candidate gene discovery for disease resistance in peanut
This paper evaluates efforts to generate whole-genome resequencing data on a recombinant inbred line population, develop a SNP‐based high‐density genetic map, and conduct fine mapping, candidate gene discovery and marker validation for early leaf spot, late leaf spot, and Tomato spotted wilt virus in peanut.
Development and evaluation of high-density SNP array (Axiom®CicerSNP Array) for high resolution genetic mapping and breeding applications in chickpea
Screening of whole-genome resequencing data from 429 chickpea lines using the high throughput SNP genotyping platform ‘Axiom® CicerSNP Array’ identified 4.9 million SNPs, from which a subset of 70,463 high-quality nonredundant SNPs was selected using different stringent filter criteria.
QTL-seq approach identified genomic regions and diagnostic markers for rust and late leaf spot resistance in groundnut (Arachis hypogaea L.)
The results presented in this study suggest the usefulness of a QTL-seq approach for the precise and rapid identification of candidate genomic regions and the development of diagnostic markers for breeding applications. The approach was applied to identify genomic regions and diagnostic markers for rust and late leaf spot resistance in groundnut
QTL-seq for Rapid Identification of Candidate Genes for 100-seed Weight and root/total Plant Dry Weight Ratio Under Rainfed Conditions in Chickpea
Terminal drought is a major constraint to chickpea productivity. In this article, QTL-seq approach was used to identify candidate genomic regions for 100-seed weight (100SDW) and total dry root weight to total plant dry weight ratio (RTR) under rainfed conditions.
