Evidence map›Paper›PMID 41393896›Full record

ArticleFrontiers in plant science2025

Genome-wide association study and fine-mapping identify a major quantitative trait locus controlling hundred-seed weight in soybean.

Chunlei Zhang, Huilong Hong, Rongqiang Yuan, Shiyao Zhang, Tianjiao Gao, Shuping Yan, Sobhi F Lamlom, Honglei Ren, Zhangxiong Liu, Jiajun Wang

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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Chunlei Zhang *Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.
Huilong Hong *National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Rongqiang Yuan *Soybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.
Shiyao ZhangSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.
Tianjiao GaoSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.
Shuping YanSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.
Sobhi F LamlomSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.
Honglei RenSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.
Zhangxiong LiuNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Jiajun WangSoybean Research Institute of Heilongjiang Academy of Agriculture Sciences, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hundred-seed weight (HSW) is a critical yield component in soybean that directly influences productivity and seed quality. Despite its agronomic importance, the genetic architecture underlying natural variation in seed weight remains incompletely understood. Methods: We conducted a comprehensive genome-wide association study (GWAS) using 554 globally diverse soybean accessions, comprising 453 Chinese varieties (81.8%) and 101 international accessions (18.2%) from 15 countries. Accessions were evaluated across three consecutive years (2022-2024) and genotyped with 78,050 high-quality single-nucleotide polymorphisms (SNPs). Results: Mixed linear model (MLM) analysis revealed a major QTL on Chr.20 that consistently explained the largest proportion of phenotypic variation across all environments. This QTL demonstrated exceptional temporal stability, maintaining genome-wide significance with peak -log Conclusions: The environmentally stable Chr. 20 QTL provides immediate opportunities for marker-assisted selection (MAS) in soybean breeding programs. Genomic prediction modeling suggests 35% greater genetic gain compared to phenotypic selection alone, supporting broad applicability for global soybean improvement programs.

Indexed as

fine-mappinggenome-wide association studyhundred-seed weightmarker-assisted selectionquantitative trait lociseed developmentsoybean

Identifiers

PMID41393896
PMCPMC12699474

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