Rapid gene identification in sugar beet using deep sequencing of DNA from phenotypic pools selected from breeding panels

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• 作者：David Ries ; Daniela Holtgräwe ; Prisca Viehöver ; Bernd Weisshaar
• 关键词：Mapping by sequencing ; Allele frequency ; R locus ; Beta vulgaris ; Sugar beet ; SNP detection ; Gene identification ; Phenotypic pools
• 刊名：BMC Genomics
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：17
• 期：1
• 全文大小：1,433 KB
• 刊物主题：Life Sciences, general; Microarrays; Proteomics; Animal Genetics and Genomics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
• 出版者：BioMed Central
• ISSN：1471-2164

文摘

Background The combination of bulk segregant analysis (BSA) and next generation sequencing (NGS), also known as mapping by sequencing (MBS), has been shown to significantly accelerate the identification of causal mutations for species with a reference genome sequence. The usual approach is to cross homozygous parents that differ for the monogenic trait to address, to perform deep sequencing of DNA from F2 plants pooled according to their phenotype, and subsequently to analyze the allele frequency distribution based on a marker table for the parents studied. The method has been successfully applied for EMS induced mutations as well as natural variation. Here, we show that pooling genetically diverse breeding lines according to a contrasting phenotype also allows high resolution mapping of the causal gene in a crop species. The test case was the monogenic locus causing red vs. green hypocotyl color in Beta vulgaris (R locus).