GWAS of a soybean breeding collection from South East and South Kazakhstan for resistance to fungal diseases release_sqkyvtvjjfgzvalfwhybmfvxnu

by A. Zatybekov, S. Abugalieva, S. Didorenko, A. Rsaliyev, Y. Turuspekov

Published in Vavilovskij Žurnal Genetiki i Selekcii by Institute of Cytology and Genetics, SB RAS .

Volume 22p536-543 (2018)

Abstract

Soybean (<jats:underline>Glycine max </jats:underline>(L.) Merr) is an essential food, feed, and technical culture. In Kazakhstan the area under soybean is increasing every year, helping to solve the problem of protein deficiency in human nutrition and animal feeding. One of the main problems of soybean production is fungal diseases causing yields losses of up to 30 %. Modern genomic studies can be applied to facilitate efficient breeding research for improvement of soybean fungal disease tolerance. Therefore, the objective of this genome-wide association study (GWAS) was analysis of a soybean collection consisting of 182 accessions in relation to fungal diseases in the conditions of South East and South Kazakh­stan. Field evaluation of the soybean collection suggested that <jats:underline>Fusarium </jats:underline>spp. and <jats:underline>Cercospora sojina </jats:underline>affected plants in the South region (RIBSP), and <jats:underline>Septoria glycines </jats:underline>– in the South East region (KRIAPP). The major objective of the study was identification of QTL associated with resistance to fusarium root rot (FUS), frogeye leaf spot (FLS), and brown spot (BS). GWAS using 4 442 SNP (single nucleotide polymorphism) markers of Illumina iSelect array allowed for identification of fifteen marker trait associations (MTA) resistant to the three diseases at two different stages of growth. Two QTL both for FUS (chromosomes 13 and 17) and BS (chromosomes 14 and 17) were genetically mapped, including one presumably novel QTL for BS (chromo­some 17). Also, five presumably novel QTL for FLS were genetically mapped on chromosomes 2, 7, and 15. The results can be used for improvement of the local breeding projects based on marker-assisted selection approach.          
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Date   2018-08-10
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