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ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Functional and Applied Plant Genomics

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1674201

This article is part of the Research TopicPlant Genotyping: From Traditional Markers to Modern Technologies, Volume IIView all 13 articles

Yield and yield component trait analysis with DArT genotyping for GWAS in soybean grown in drought conditions of Kazakhstan

Provisionally accepted
Aigul  AmangeldiyevaAigul Amangeldiyeva1Raushan  YerzhebayevaRaushan Yerzhebayeva1*Shynar  MazkiratShynar Mazkirat1Svetlana  DidorenkoSvetlana Didorenko1Sholpan  BastaubayevaSholpan Bastaubayeva1Bekzhan  MaikotovBekzhan Maikotov1Rinat  KassenovRinat Kassenov1Assel  JenisbayevaAssel Jenisbayeva1Yuri  ShavrukovYuri Shavrukov2*
  • 1Kazakh Research Institute of Agriculture and Plant Growing LLP, Almalyk, Kazakhstan
  • 2Flinders University, Adelaide, Australia

The final, formatted version of the article will be published soon.

Development of drought tolerant cultivars of soybean is the single best way to address the challenge of global climate change and very limited water resources for crop irrigation in Central Asia including Kazakhstan. A set of 188 soybean cultivars with diverse origins was assessed for Genome-wide association study (GWAS) for yield and eight yield-related traits in both irrigated (well-watered, WW) and non-irrigated (drought) conditions during two years in field trials in South-Eastern Kazakhstan. The 295K Diversity array technology (DArT) analysis was applied and 16K filtered DArT markers were used for genotyping of 183 soybean accessions. In the results, 41 Quantitative trait nucleotides (QTN) were identified as significantly associated with nine studied traits. To verify these results, Bulk segregant analysis (BSA) was carried out in six breeding lines originating from two crosses between high-yielding under drought cvs, Sponsor and Zen, with drought sensitive cv Lastochka. The evaluation of combined results revealed 10 most significant QTN and eight most promising putative candidate genes, which were selected and tested for their gene expression using RT-qPCR under drought compared to WW controls. Among them, glucose-6-phosphate isomerase (G6PI), pentatricopeptide repeats (PPR) protein and ABC transporter, associated with seed yield, seed weight per plant and plant height, were highly up-regulated in drought tolerant genotypes. In contrast, two other genes, Rab-GDP dissociation inhibitor (Rab-GDI) and transducin with WD40 repeats, associated with seed yield, showed repression in the same genotypes. These verified genes involved in the control of yield and yield-related traits can be used for marker-assisted selection to develop novel genotypes and new soybean cultivars tolerant to strong drought in Kazakhstan and in other countries with similar conditions.

Keywords: Bulk segregant analysis (BSA), Candidate genes verification, Diversity Array Technology (DArT), drought, field trial, Gene Expression, genome-wide association study (GWAS), molecular genetic dendrogram

Received: 27 Jul 2025; Accepted: 23 Sep 2025.

Copyright: © 2025 Amangeldiyeva, Yerzhebayeva, Mazkirat, Didorenko, Bastaubayeva, Maikotov, Kassenov, Jenisbayeva and Shavrukov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Raushan Yerzhebayeva, raushan_2008@mail.ru
Yuri Shavrukov, yuri.shavrukov@flinders.edu.au

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