Literature DB >> 25147024

A high-throughput SNP array in the amphidiploid species Brassica napus shows diversity in resistance genes.

Jessica Dalton-Morgan1, Alice Hayward, Salman Alamery, Reece Tollenaere, Annaliese S Mason, Emma Campbell, Dhwani Patel, Michał T Lorenc, Bin Yi, Yan Long, Jinling Meng, Rosy Raman, Harsh Raman, Cindy Lawley, David Edwards, Jacqueline Batley.   

Abstract

Single-nucleotide polymorphisms (SNPs)are molecular markers based on nucleotide variation and can be used for genotyping assays across populations and to track genomic inheritance. SNPs offer a comprehensive genotyping alternative to whole-genome sequencing for both agricultural and research purposes including molecular breeding and diagnostics, genome evolution and genetic diversity analyses, genetic mapping, and trait association studies. Here genomic SNPs were discovered between four cultivars of the important amphidiploid oilseed species Brassica napus and used to develop a B. napus Infinium™ array containing 5,306 SNPs randomly dispersed across the genome. Assay success was high, with >94 % of these producing a reproducible, polymorphic genotype in the 1,070 samples screened. Although the assay was designed to B. napus, successful SNP amplification was achieved in the B. napus progenitor species, Brassica rapa and Brassica oleracea, and to a lesser extent in the related species Brassica nigra. Phylogenetic analysis was consistent with the expected relationships between B. napus individuals. This study presents an efficient custom SNP assay development pipeline in the complex polyploid Brassica genome and demonstrates the utility of the array for high-throughput genotyping in a number of related Brassica species. It also demonstrates the utility of this assay in genotyping resistance genes on chromosome A7, which segregate amongst the 1,070 samples.

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Year:  2014        PMID: 25147024     DOI: 10.1007/s10142-014-0391-2

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


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