Frontiers in Plant Science (Jan 2023)
Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
- Shilin Luo,
- Shilin Luo,
- Shilin Luo,
- Jia Jia,
- Jia Jia,
- Jia Jia,
- Riqian Liu,
- Riqian Liu,
- Riqian Liu,
- Ruqian Wei,
- Ruqian Wei,
- Ruqian Wei,
- Zhibin Guo,
- Zhibin Guo,
- Zhibin Guo,
- Zhandong Cai,
- Zhandong Cai,
- Zhandong Cai,
- Bo Chen,
- Bo Chen,
- Bo Chen,
- Fuwei Liang,
- Fuwei Liang,
- Fuwei Liang,
- Qiuju Xia,
- Hai Nian,
- Hai Nian,
- Hai Nian,
- Yanbo Cheng,
- Yanbo Cheng,
- Yanbo Cheng
Affiliations
- Shilin Luo
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Shilin Luo
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Shilin Luo
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Jia Jia
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Jia Jia
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Jia Jia
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Riqian Liu
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Riqian Liu
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Riqian Liu
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Ruqian Wei
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Ruqian Wei
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Ruqian Wei
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Zhibin Guo
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Zhibin Guo
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Zhibin Guo
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Zhandong Cai
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Zhandong Cai
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Zhandong Cai
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Bo Chen
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Bo Chen
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Bo Chen
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Fuwei Liang
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Fuwei Liang
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Fuwei Liang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Qiuju Xia
- Rice Molecular Breeding Institute, Granlux Associated Grains, Shenzhen, Guangdong, China
- Hai Nian
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Hai Nian
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Hai Nian
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- Yanbo Cheng
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- Yanbo Cheng
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Yanbo Cheng
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
- DOI
- https://doi.org/10.3389/fpls.2022.1094112
- Journal volume & issue
-
Vol. 13
Abstract
IntroductionThe seed weight of soybean [Glycine max (L.) Merr.] is one of the major traits that determine soybean yield and is closely related to seed size. However, the genetic basis of the synergistic regulation of traits related to soybean yield is unclear.MethodsTo understand the molecular genetic basis for the formation of soybean yield traits, the present study focused on QTLs mapping for seed size and weight traits in different environments and target genes mining.ResultsA total of 85 QTLs associated with seed size and weight traits were identified using a recombinant inbred line (RIL) population developed from Guizao1×B13 (GB13). We also detected 18 environmentally stable QTLs. Of these, qSL-3-1 was a novel QTL with a stable main effect associated with seed length. It was detected in all environments, three of which explained more than 10% of phenotypic variance (PV), with a maximum of 15.91%. In addition, qSW-20-3 was a novel QTL with a stable main effect associated with seed width, which was identified in four environments. And the amount of phenotypic variance explained (PVE) varied from 9.22 to 21.93%. Five QTL clusters associated with both seed size and seed weight were summarized by QTL cluster identification. Fifteen candidate genes that may be involved in regulating soybean seed size and weight were also screened based on gene function annotation and GO enrichment analysis.DiscussionThe results provide a biologically basic reference for understanding the formation of soybean seed size and weight traits.
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