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RESEARCH ARTICLE

Validation and genetic characterisation of a seed weight quantitative trait locus, qSW17.1, in progenies of cultivated and wild soybean

Dequan Liu A B C , Cheolwoo Park A , Qingyu Wang B and Donghe Xu https://orcid.org/0000-0002-2447-795X A *
+ Author Affiliations
- Author Affiliations

A Japan International Research Center for Agricultural Science (JIRCAS), 1-1 Ohwashi, Tsukuba, Ibaraki 305-8686, Japan.

B College of Plant Science, Jilin University, 5333 Xi’an Road, Changchun, Jilin, P. R. China.

C Present address: Jilin Academy of Agricultural Sciences, 1363 Shengtai Road, Changchun, Jilin, P. R. China.

* Correspondence to: xudh@jircas.affrc.go.jp

Handling Editor: Marta Santalla

Crop & Pasture Science 74(5) 449-458 https://doi.org/10.1071/CP22211
Submitted: 22 June 2022  Accepted: 2 November 2022   Published: 1 December 2022

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context: Seed weight is an important agronomic trait for determining yield and appearance quality of soybean (Glycine max (L.) Merr.). Understanding the genetic basis of seed weight might lead to improvement of these traits in soybean by optimising different genes or alleles controlling seed weight.

Aims: A major quantitative trait locus (QTL) for seed weight, qSW17.1, was identified previously. In this study, we used progenies of cultivated soybean and wild soybean (Glycine soja Sieb. and Zucc.) for further validation and characterisation of qSW17.1.

Methods: A BC4F2 population, a heterogeneous inbred family (HIF) population, and a pair of qSW17.1 near-isogenic lines (NILs) developed from progenies of a cross between cultivated soybean variety Jackson and wild soybean accession JWS156-1 were cultivated under field conditions. QTL analysis and candidate gene mining were conducted.

Key results: A QTL corresponding to qSW17.1, which explained 19.84% and 31.71% of the total phenotypic variance in BC4F2 and HIF populations, respectively, was detected. The NIL with the cultivated soybean allele showed higher shoot biomass than the NIL with the wild soybean allele under hydroponic growth conditions, suggesting that the large-seed-size allele of qSW17.1 might be beneficial in soybean seedling establishment. qSW17.1 was delimited to a physical interval of 2515 kb on chromosome 17. Glyma.17G108500 showed a large (~3.27-fold) difference in expression between the two NILs, and was considered a candidate gene underlying qSW17.1.

Implications: Our results provide valuable information regarding the genetic basis of seed weight control in soybean and its utilisation in soybean molecular breeding.

Keywords: candidate gene, cultivated soybean, gene expression, near-isogenic lines (NILs), qSW17.1, quantitative trait locus (QTL), seed weight, wild soybean.


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