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Li G, Xie J, Zhang W, Meng F, Yang M, Fan X, Sun X, Zheng Y, Zhang Y, Wang M, Chen Q, Wang S, Jiang H. Integrated examination of the transcriptome and metabolome of the gene expression response and metabolite accumulation in soybean seeds for seed storability under aging stress. FRONTIERS IN PLANT SCIENCE 2024; 15:1437107. [PMID: 39040511 PMCID: PMC11261460 DOI: 10.3389/fpls.2024.1437107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 06/25/2024] [Indexed: 07/24/2024]
Abstract
Soybean quality and production are determined by seed viability. A seed's capacity to sustain germination via dry storage is known as its seed life. Thus, one of the main objectives for breeders is to preserve genetic variety and gather germplasm resources. However, seed quality and germplasm preservation have become significant obstacles. In this study, four artificially simulated aging treatment groups were set for 0, 24, 72, and 120 hours. Following an aging stress treatment, the transcriptome and metabolome data were compared in two soybean lines with notable differences in seed vigor-R31 (aging sensitive) and R80 (aging tolerant). The results showed that 83 (38 upregulated and 45 downregulated), 30 (19 upregulated and 11 downregulated), 90 (52 upregulated and 38 downregulated), and 54 (25 upregulated and 29 downregulated) DEGs were differentially expressed, respectively. A total of 62 (29 upregulated and 33 downregulated), 94 (49 upregulated and 45 downregulated), 91 (53 upregulated and 38 downregulated), and 135 (111 upregulated and 24 downregulated) differential metabolites accumulated. Combining the results of transcriptome and metabolome investigations demonstrated that the difference between R31 and R80 responses to aging stress was caused by genes related to phenylpropanoid metabolism pathway, which is linked to the seed metabolite caffeic acid. According to this study's preliminary findings, the aging-resistant line accumulated more caffeic acid than the aging-sensitive line, which improved its capacity to block lipoxygenase (LOX) activity. An enzyme activity inhibition test was used to demonstrate the effect of caffeic acid. After soaking seeds in 1 mM caffeic acid (a LOX inhibitor) for 6 hours and artificially aging them for 24 hours, the germination rates of the R31 and R80 seeds were enhanced. In conclusion, caffeic acid has been shown to partially mitigate the negative effects of soybean seed aging stress and to improve seed vitality. This finding should serve as a theoretical foundation for future research on the aging mechanism of soybean seeds.
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Affiliation(s)
- Guang Li
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Jianguo Xie
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Wei Zhang
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Fanfan Meng
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Mingliang Yang
- Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Xuhong Fan
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Xingmiao Sun
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Yuhong Zheng
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Yunfeng Zhang
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Mingliang Wang
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Qingshan Chen
- Northeast Agricultural University, Harbin, Heilongjiang, China
| | - Shuming Wang
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
| | - Hongwei Jiang
- Jilin Academy of Agricultural Sciences (China Agricultural Science and Technology Northeast Innovation Center), Soybean Research Institute, Changchun, China
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Wei S, Yu Z, Du F, Cao F, Yang M, Liu C, Qi Z, Chen Q, Zou J, Wang J. Integrated Transcriptomic and Proteomic Characterization of a Chromosome Segment Substitution Line Reveals the Regulatory Mechanism Controlling the Seed Weight in Soybean. PLANTS (BASEL, SWITZERLAND) 2024; 13:908. [PMID: 38592937 PMCID: PMC10975824 DOI: 10.3390/plants13060908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 03/13/2024] [Accepted: 03/18/2024] [Indexed: 04/11/2024]
Abstract
Soybean is the major global source of edible oils and vegetable proteins. Seed size and weight are crucial traits determining the soybean yield. Understanding the molecular regulatory mechanism underlying the seed weight and size is helpful for improving soybean genetic breeding. The molecular regulatory pathways controlling the seed weight and size were investigated in this study. The 100-seed weight, seed length, seed width, and seed weight per plant of a chromosome segment substitution line (CSSL) R217 increased compared with those of its recurrent parent 'Suinong14' (SN14). Transcriptomic and proteomic analyses of R217 and SN14 were performed at the seed developmental stages S15 and S20. In total, 2643 differentially expressed genes (DEGs) and 208 differentially accumulated proteins (DAPs) were detected at S15, and 1943 DEGs and 1248 DAPs were detected at S20. Furthermore, integrated transcriptomic and proteomic analyses revealed that mitogen-activated protein kinase signaling and cell wall biosynthesis and modification were potential pathways associated with seed weight and size control. Finally, 59 candidate genes that might control seed weight and size were identified. Among them, 25 genes were located on the substituted segments of R217. Two critical pathways controlling seed weight were uncovered in our work. These findings provided new insights into the seed weight-related regulatory network in soybean.
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Affiliation(s)
- Siming Wei
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Zhenhai Yu
- Heilongjiang Province Green Food Science Institute, Harbin 150028, China;
| | - Fangfang Du
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Fubin Cao
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Mingliang Yang
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Chunyan Liu
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Zhaoming Qi
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Qingshan Chen
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Jianan Zou
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
| | - Jinhui Wang
- National Key Laboratory of Smart Farm Technology and System, Key Laboratory of Soybean Biology in Chinese Ministry of Education, College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.W.); (F.D.); (F.C.); (M.Y.); (C.L.); (Z.Q.)
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Wang N, Feng S, Ma X, Chen Q, Liu C, Qi Z. Meta-Analysis and Multiomics of a Chromosome Segment Substitution Line Reveal Candidate Genes Associated with Seed Hardness in Soybean. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:16840-16854. [PMID: 37821458 DOI: 10.1021/acs.jafc.3c03950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/13/2023]
Abstract
Soybean seed hardness is a key trait that influences planting, nutritional quality, and postharvest processing, but its genetic and molecular mechanisms remain to be clarified. We used meta-analysis to detect 17 meta-quantitative trait locus (QTLs) for soybean seed hardness. We then identified a hard-seeded chromosome segment substitution line, R75, with fragments introduced from hard-seeded wild germplasm in four of the meta-QTL intervals. Observations of the seed coat ultrastructure revealed thicker palisade tissue in R75 than in its soft-seeded recurrent parent. Transcriptomics and proteomics of R75 and its recurrent parent revealed multiple candidate genes associated with seed hardness. Fifty-seven were located on homozygous introduced fragments, 26 in meta-QTL intervals, and one in both (Glyma.02G268600). Five initial candidates were selected for KASP marker development on the basis of their predicted functions and nonsynonymous SNPs. The selection efficiency of the markers was as high as 90% for nonhard lines and 43% for hard lines in the chromosome segment substitution line (CSSL) population.
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Affiliation(s)
- Ning Wang
- College of Agriculture, Northeast Agricultural University, Harbin 150030, Heilongjiang, People's Republic of China
| | - Shaowei Feng
- College of Agriculture, Northeast Agricultural University, Harbin 150030, Heilongjiang, People's Republic of China
| | - Xuntong Ma
- College of Agriculture, Northeast Agricultural University, Harbin 150030, Heilongjiang, People's Republic of China
| | - Qingshan Chen
- College of Agriculture, Northeast Agricultural University, Harbin 150030, Heilongjiang, People's Republic of China
| | - Chunyan Liu
- College of Agriculture, Northeast Agricultural University, Harbin 150030, Heilongjiang, People's Republic of China
| | - Zhaoming Qi
- College of Agriculture, Northeast Agricultural University, Harbin 150030, Heilongjiang, People's Republic of China
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Wei S, Yong B, Jiang H, An Z, Wang Y, Li B, Yang C, Zhu W, Chen Q, He C. A loss-of-function mutant allele of a glycosyl hydrolase gene has been co-opted for seed weight control during soybean domestication. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:2469-2489. [PMID: 37635359 DOI: 10.1111/jipb.13559] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/28/2023] [Indexed: 08/29/2023]
Abstract
The resultant DNA from loss-of-function mutation can be recruited in biological evolution and development. Here, we present such a rare and potential case of "to gain by loss" as a neomorphic mutation during soybean domestication for increasing seed weight. Using a population derived from a chromosome segment substitution line of Glycine max (SN14) and Glycine soja (ZYD06), a quantitative trait locus (QTL) of 100-seed weight (qHSW) was mapped on chromosome 11, corresponding to a truncated β-1, 3-glucosidase (βGlu) gene. The novel gene hsw results from a 14-bp deletion, causing a frameshift mutation and a premature stop codon in the βGlu. In contrast to HSW, the hsw completely lost βGlu activity and function but acquired a novel function to promote cell expansion, thus increasing seed weight. Overexpressing hsw instead of HSW produced large soybean seeds, and surprisingly, truncating hsw via gene editing further increased the seed size. We further found that the core 21-aa peptide of hsw and its variants acted as a promoter of seed size. Transcriptomic variation in these transgenic soybean lines substantiated the integration hsw into cell and seed size control. Moreover, the hsw allele underwent selection and expansion during soybean domestication and improvement. Our work cloned a likely domesticated QTL controlling soybean seed weight, revealed a novel genetic variation and mechanism in soybean domestication, and provided new insight into crop domestication and breeding, and plant evolution.
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Affiliation(s)
- Siming Wei
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bin Yong
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hongwei Jiang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, China
- Jilin Academy of Agricultural Sciences, Changchun, 130022, China
| | - Zhenghong An
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yan Wang
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
| | - Bingbing Li
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ce Yang
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Weiwei Zhu
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qingshan Chen
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, China
| | - Chaoying He
- State Key Laboratory of Plant Diversity and Specialty Crops/State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
- The Innovative Academy of Seed Design, the Chinese Academy of Sciences, Beijing, 100101, China
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Sun M, Wei S, Liu J, Wang L, Zhang Y, Hu L, Piao J, Liang Z, Jiang H, Xin D, Zhao Y, Chen Q, Foyer CH, Liu C, Qi Z. The impact of GmTSA and GmALS on soybean salt tolerance: uncovering the molecular landscape of amino acid and secondary metabolism pathways. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:212. [PMID: 37740151 DOI: 10.1007/s00122-023-04461-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 09/08/2023] [Indexed: 09/24/2023]
Abstract
KEY MESSAGE GmTSA and GmALS were screened out for salt stress in soybean and explore the poteintial amino acid secondary metabolism pathways. Soybean (Glycine max L.) is an oil and protein crop of global importance, and salinity has significant effects on soybean growth. Here, a population of soybean chromosome segment substitution lines was screened to identify highly salt-tolerant lines. In total, 24 quantitative trait loci (QTLs) on seven chromosomes were associated with salt tolerance, and CSSL_R71 was selected for further analysis. Although numerous genes were differentially expressed in CSSL_R71 in response to salt statically no differently, transcript levels of classical salt-response genes, including those of the salt overly sensitive pathway. Rather, salt tolerance in CSSL_R71 was associated with changes in amino acid and lipid metabolism. In particular, changes in p-coumaric acid, shikimic acid, and pyrrole-2-carboxylic acid levels accompanied salt tolerance in CSSL_R71. Eleven differentially expressed genes (DEGs) related to amino acid and secondary metabolism were identified as candidate genes on the substituted chromosome fragment. Six of these showed differences in coding sequence between the parental genotypes. Crucially, overexpression of GmTSA (Glyma.03G158400, tryptophan synthase) significantly enhanced salt tolerance in soybean hairy roots, whereas overexpression of GmALS (Glyma.13G241000, acetolactate synthase) decreased salt tolerance. Two KASP markers were developed for GmALS and used to genotype salt-tolerant and salt-sensitive lines in the CSSL population. Non-synonymous mutations were directly associated with salt tolerance. Taken together, these data provide evidence that changes in amino acid and secondary metabolism have the potential to confer salt tolerance in soybean.
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Affiliation(s)
- Minghao Sun
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Siming Wei
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Jiarui Liu
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Luyao Wang
- Institute of Rural Revitalization Science and Technology, Heilongjiang Academy of Agricultural Sciences, Harbin, 150028, China
| | - Yu Zhang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Limin Hu
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Jingxi Piao
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Zhao Liang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Hongwei Jiang
- Jilin Academy of Agricultural Sciences, Soybean Research Institute, Changchun, 130033, China
| | - Dawei Xin
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Ying Zhao
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Qingshan Chen
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Christine H Foyer
- School of Biosciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, UK.
| | - Chunyan Liu
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China.
| | - Zhaoming Qi
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China.
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Identifications of QTLs and Candidate Genes Associated with Pseudomonas syringae Responses in Cultivated Soybean ( Glycine max) and Wild Soybean ( Glycine soja). Int J Mol Sci 2023; 24:ijms24054618. [PMID: 36902050 PMCID: PMC10003559 DOI: 10.3390/ijms24054618] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/03/2023] [Accepted: 02/09/2023] [Indexed: 03/06/2023] Open
Abstract
Soybeans (Glycine max) are a key food crop, serving as a valuable source of both oil and plant-derived protein. Pseudomonas syringae pv. glycinea (Psg) is among the most aggressive and prevalent pathogens affecting soybean production, causing a form of bacterial spot disease that impacts soybean leaves and thereby reduces crop yields. In this study, 310 natural soybean varieties were screened for Psg resistance and susceptibility. The identified susceptible and resistant varieties were then used for linkage mapping, BSA-seq, and whole genome sequencing (WGS) analyses aimed at identifying key QTLs associated with Psg responses. Candidate Psg-related genes were further confirmed through WGS and qPCR analyses. Candidate gene haplotype analyses were used to explore the associations between haplotypes and soybean Psg resistance. In addition, landrace and wild soybean plants were found to exhibit a higher degree of Psg resistance as compared to cultivated soybean varieties. In total, 10 QTLs were identified using chromosome segment substitution lines derived from Suinong14 (cultivated soybean) and ZYD00006 (wild soybean). Glyma.10g230200 was found to be induced in response to Psg, with the Glyma.10g230200 haplotype corresponding to soybean disease resistance. The QTLs identified herein can be leveraged to guide the marker-assisted breeding of soybean cultivars that exhibit partial resistance to Psg. Moreover, further functional and molecular studies of Glyma.10g230200 have the potential to offer insight into the mechanistic basis for soybean Psg resistance.
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Cao F, Wei R, Xie J, Hou L, Kang C, Zhao T, Sun C, Yang M, Zhao Y, Li C, Wang N, Wu X, Liu C, Jiang H, Chen Q. Fine mapping and candidate gene analysis of proportion of four-seed pods by soybean CSSLs. FRONTIERS IN PLANT SCIENCE 2023; 13:1104022. [PMID: 36743549 PMCID: PMC9890659 DOI: 10.3389/fpls.2022.1104022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 12/23/2022] [Indexed: 06/18/2023]
Abstract
Soybean yield, as one of the most important and consistent breeding goals, can be greatly affected by the proportion of four-seed pods (PoFSP). In this study, QTL mapping was performed by PoFSP data and BLUE (Best Linear Unbiased Estimator) value of the chromosome segment substitution line population (CSSLs) constructed previously by the laboratory from 2016 to 2018, and phenotype-based bulked segregant analysis (BSA) was performed using the plant lines with PoFSP extreme phenotype. Totally, 5 ICIM QTLs were repeatedly detected, and 6 BSA QTLs were identified in CSSLs. For QTL (qPoFSP13-1) repeated in ICIM and BSA results, the secondary segregation populations were constructed for fine mapping and the interval was reduced to 100Kb. The mapping results showed that the QTL had an additive effect of gain from wild parents. A total of 14 genes were annotated in the delimited interval by fine mapping. Sequence analysis showed that all 14 genes had genetic variation in promoter region or CDS region. The qRT-PCR results showed that a total of 5 candidate genes were differentially expressed between the plant lines having antagonistic extreme phenotype (High PoFSP > 35.92%, low PoFSP< 17.56%). The results of haplotype analysis showed that all five genes had two or more major haplotypes in the resource population. Significant analysis of phenotypic differences between major haplotypes showed all five candidate genes had haplotype differences. And the genotypes of the major haplotypes with relatively high PoFSP of each gene were similar to those of wild soybean. The results of this study were of great significance to the study of candidate genes affecting soybean PoFSP, and provided a basis for the study of molecular marker-assisted selection (MAS) breeding and four-seed pods domestication.
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Affiliation(s)
- Fubin Cao
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Ruru Wei
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Jianguo Xie
- Jilin Academy of Agricultural Sciences, Soybean Research Institute, Changchun, Jilin, China
| | - Lilong Hou
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Chaorui Kang
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Tianyu Zhao
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Chengcheng Sun
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Mingliang Yang
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Ying Zhao
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Candong Li
- Jiamusi Branch Institute, Heilongjiang Academy of Agricultural Sciences, Jiamusi, Heilongjiang, China
| | - Nannan Wang
- Jiamusi Branch Institute, Heilongjiang Academy of Agricultural Sciences, Jiamusi, Heilongjiang, China
| | - Xiaoxia Wu
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Chunyan Liu
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
| | - Hongwei Jiang
- Jilin Academy of Agricultural Sciences, Soybean Research Institute, Changchun, Jilin, China
| | - Qingshan Chen
- College of Agriculture, Key Laboratory of Soybean Biology in Chinese Ministry of Education, Northeast Agricultural University, Harbin, China
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