Evidence map›Paper›PMID 41171403›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Genetic dissection of low-sulfur tolerance via linkage and genome-wide association analyses in soybean [Glycine max (L.) Merr.] seedlings.

Kaixin Zhang, Yanning Chen, Sujing Wang, Yu'e Zhang, Yudan Chen, Kaili Ren, Xiao Li, Guizhen Kan, Deyue Yu, Hui Wang

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 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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1 · What the graph read from it

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5 · Who and what money

Authors and funding

10 authors.

Kaixin ZhangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Yanning ChenNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Sujing WangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Yu'e ZhangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Yudan ChenNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Kaili RenNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Xiao LiNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China.
Guizhen KanNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China. kanguizhen@njau.edu.cn.
Deyue YuNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China. dyyu@njau.edu.cn.
Hui WangNational Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China. wanghui0@njau.edu.cn.ORCID http://orcid.org/0000-0003-1808-9149

Funding

National Natural Science Foundation of China 32072080National Natural Science Foundation of China 32090065National Natural Science Foundation of China 32101742National Natural Science Foundation of China 32201874Zhongshan Biological Breeding Laboratory ZSBBL-KY2023-03
6 · The paper itself

Abstract

key messageSeven co-localized QTLs that control low-sulfur tolerance in soybean seedlings were identified. Two putative candidate genes and 3 promising parental cross combinations were further predicted. Low-sulfur nutrient stress severely affects yield and quality in soybean production. However, genetic studies related to soybean tolerance to low-sulfur conditions are insufficient. Here, soybean tolerance to low-sulfur conditions was evaluated according to ten traits at the seedling stage. A total of 72 quantitative trait loci (QTLs) and 103 quantitative trait nucleotides (QTNs) related to low-sulfur tolerance in soybean seedlings were detected via linkage analysis and genome-wide association analysis (GWAS) in a recombinant inbred line (RIL) population and a natural population, respectively. Among these loci, 7 co-localized QTLs were identified via two methods across chromosomes 1, 6, 8, 9, 14, and 17. Glyma.17G167100, which includes two significant SNPs (AX-93862060 and AX-93862061), and Glyma.14G169300 were suggested as putative candidate genes on the basis of transcriptome data, haplotype analysis and real-time quantitative PCR. In addition, 3 promising parental cross combinations with the aim of improving low-sulfur tolerance have been designed across favorable alleles, which were determined on the basis of the co-localized QTLs and relative values of trait phenotypes in three environments. These results provide important evidence for understanding the genetic basis of low-sulfur tolerance in soybean and may be helpful in the breeding of new soybean varieties with high tolerance to low-sulfur soil.

Indexed as

Genetic LinkageGlycine maxQuantitative Trait LociChromosome MappingGenome-Wide Association StudyHaplotypesPhenotypePolymorphism, Single NucleotideSeedlings

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.