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

Abstract

Soybean (Glycine max(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 thatFusariumspp. andCercospora sojinaaffected plants in the South region (RIBSP), andSeptoria glycines– 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.

Analysis of soybean world collection in conditions of south-eastern Kazakhstan

“…Zhansaya bred by the Kazakh Research Institute of Agriculture and Plant growing (KAZNIIZR) was involved into the study as a standard cv. for Almaty region [11].…”

Genome-wide association study as a powerful tool for dissecting competitive traits in legumes

“…Types of mapping population used in GWAS studies along with their brief properties. (Hwang et al, 2014;Zhang et al, 2019;Zhao et al, 2019;Liu et al, 2020) Nematode resistance, Iron deficiency and Canopy wilt, brown stem rot, Diseases resistance SNP (Butenhoff, 2015;Vuong et al, 2015;Chang et al, 2016;Rincker et al, 2016;Zhang et al, 2017a;Zhang et al, 2017b;Zatybekov et al, 2018;Do et al, 2019;Ravelombola et al, 2019;Tran et al, 2019;Lin et al, 2020) (Continued) Susmitha et al 10.3389/fpls.2023.1123631 mapping. Whereas the power of QTL identification is higher in linkage mapping as compared to AM, the resolution has a reverse relationship with both mapping schemes.…”

The influence of fungicides on the growth, development and productivity of soybean

“…However, susceptibility to dangerous diseases is a factor that seriously limits the yield of soybean globally [4][5][6].…”

“…All soybean diseases can be divided in three big groups: 1) diseases of seeds and seedlings, 2) spots covering different plant parts, and 3) diseases causing the withering of plants [15]. The total yield loss due to fungal diseases can be up to 40% [6].…”