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Hooker JC, Smith M, Zapata G, Charette M, Luckert D, Mohr RM, Daba KA, Warkentin TD, Hadinezhad M, Barlow B, Hou A, Lefebvre F, Golshani A, Cober ER, Samanfar B. Differential gene expression provides leads to environmentally regulated soybean seed protein content. FRONTIERS IN PLANT SCIENCE 2023; 14:1260393. [PMID: 37790790 PMCID: PMC10544915 DOI: 10.3389/fpls.2023.1260393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 08/23/2023] [Indexed: 10/05/2023]
Abstract
Soybean is an important global source of plant-based protein. A persistent trend has been observed over the past two decades that soybeans grown in western Canada have lower seed protein content than soybeans grown in eastern Canada. In this study, 10 soybean genotypes ranging in average seed protein content were grown in an eastern location (control) and three western locations (experimental) in Canada. Seed protein and oil contents were measured for all lines in each location. RNA-sequencing and differential gene expression analysis were used to identify differentially expressed genes that may account for relatively low protein content in western-grown soybeans. Differentially expressed genes were enriched for ontologies and pathways that included amino acid biosynthesis, circadian rhythm, starch metabolism, and lipid biosynthesis. Gene ontology, pathway mapping, and quantitative trait locus (QTL) mapping collectively provide a close inspection of mechanisms influencing nitrogen assimilation and amino acid biosynthesis between soybeans grown in the East and West. It was found that western-grown soybeans had persistent upregulation of asparaginase (an asparagine hydrolase) and persistent downregulation of asparagine synthetase across 30 individual differential expression datasets. This specific difference in asparagine metabolism between growing environments is almost certainly related to the observed differences in seed protein content because of the positive correlation between seed protein content at maturity and free asparagine in the developing seed. These results provided pointed information on seed protein-related genes influenced by environment. This information is valuable for breeding programs and genetic engineering of geographically optimized soybeans.
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Affiliation(s)
- Julia C. Hooker
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- Department of Biology, Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON, Canada
| | - Myron Smith
- Department of Biology, Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON, Canada
| | - Gerardo Zapata
- Canadian Centre for Computational Genomics, Montréal, QC, Canada
| | - Martin Charette
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Doris Luckert
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Ramona M. Mohr
- Brandon Research Centre, Agriculture and Agri-Food Canada, Brandon, MB, Canada
| | - Ketema A. Daba
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | | | - Mehri Hadinezhad
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Brent Barlow
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Anfu Hou
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | | | - Ashkan Golshani
- Department of Biology, Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON, Canada
| | - Elroy R. Cober
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Bahram Samanfar
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- Department of Biology, Ottawa Institute of Systems Biology, Carleton University, Ottawa, ON, Canada
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Xu W, Wang Q, Zhang W, Zhang H, Liu X, Song Q, Zhu Y, Cui X, Chen X, Chen H. Using transcriptomic and metabolomic data to investigate the molecular mechanisms that determine protein and oil contents during seed development in soybean. FRONTIERS IN PLANT SCIENCE 2022; 13:1012394. [PMID: 36247601 PMCID: PMC9557928 DOI: 10.3389/fpls.2022.1012394] [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: 08/05/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Soybean [Glycine max (L.) Merri.] is one of the most valuable global crops. And vegetable soybean, as a special type of soybean, provides rich nutrition in people's life. In order to investigate the gene expression networks and molecular regulatory mechanisms that regulate soybean seed oil and protein contents during seed development, we performed transcriptomic and metabolomic analyses of soybean seeds during development in two soybean varieties that differ in protein and oil contents. We identified a total of 41,036 genes and 392 metabolites, of which 12,712 DEGs and 315 DAMs were identified. Analysis of KEGG enrichment demonstrated that DEGs were primarily enriched in phenylpropanoid biosynthesis, glycerolipid metabolism, carbon metabolism, plant hormone signal transduction, linoleic acid metabolism, and the biosynthesis of amino acids and secondary metabolites. K-means analysis divided the DEGs into 12 distinct clusters. We identified candidate gene sets that regulate the biosynthesis of protein and oil in soybean seeds, and present potential regulatory patterns that high seed-protein varieties may be more sensitive to desiccation, show earlier photomorphogenesis and delayed leaf senescence, and thus accumulate higher protein contents than high-oil varieties.
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Affiliation(s)
- Wenjing Xu
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Qiong Wang
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Wei Zhang
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Hongmei Zhang
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Xiaoqing Liu
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Qingxin Song
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, National Center for Soybean Improvement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China
| | - Yuelin Zhu
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Xiaoyan Cui
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Xin Chen
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Huatao Chen
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
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Cao P, Zhao Y, Wu F, Xin D, Liu C, Wu X, Lv J, Chen Q, Qi Z. Multi-Omics Techniques for Soybean Molecular Breeding. Int J Mol Sci 2022; 23:4994. [PMID: 35563386 PMCID: PMC9099442 DOI: 10.3390/ijms23094994] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/22/2022] [Accepted: 04/28/2022] [Indexed: 02/04/2023] Open
Abstract
Soybean is a major crop that provides essential protein and oil for food and feed. Since its origin in China over 5000 years ago, soybean has spread throughout the world, becoming the second most important vegetable oil crop and the primary source of plant protein for global consumption. From early domestication and artificial selection through hybridization and ultimately molecular breeding, the history of soybean breeding parallels major advances in plant science throughout the centuries. Now, rapid progress in plant omics is ushering in a new era of precision design breeding, exemplified by the engineering of elite soybean varieties with specific oil compositions to meet various end-use targets. The assembly of soybean reference genomes, made possible by the development of genome sequencing technology and bioinformatics over the past 20 years, was a great step forward in soybean research. It facilitated advances in soybean transcriptomics, proteomics, metabolomics, and phenomics, all of which paved the way for an integrated approach to molecular breeding in soybean. In this review, we summarize the latest progress in omics research, highlight novel findings made possible by omics techniques, note current drawbacks and areas for further research, and suggest that an efficient multi-omics approach may accelerate soybean breeding in the future. This review will be of interest not only to soybean breeders but also to researchers interested in the use of cutting-edge omics technologies for crop research and improvement.
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Affiliation(s)
- Pan Cao
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
| | - Ying Zhao
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
| | - Fengjiao Wu
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
| | - Dawei Xin
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
| | - Chunyan Liu
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
| | - Xiaoxia Wu
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
| | - Jian Lv
- Department of Innovation, Syngenta Biotechnology China, Beijing 102206, China
| | - Qingshan Chen
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
| | - Zhaoming Qi
- College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (P.C.); (Y.Z.); (F.W.); (D.X.); (C.L.)
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Verma SK, Mittal S, Gayacharan, Wankhede DP, Parida SK, Chattopadhyay D, Prasad G, Mishra DC, Joshi DC, Singh M, Singh K, Singh AK. Transcriptome Analysis Reveals Key Pathways and Candidate Genes Controlling Seed Development and Size in Ricebean (Vigna umbellata). Front Genet 2022; 12:791355. [PMID: 35126460 PMCID: PMC8815620 DOI: 10.3389/fgene.2021.791355] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/23/2021] [Indexed: 11/27/2022] Open
Abstract
Ricebean (Vigna umbellata) is a lesser known pulse with well-recognized potential. Recently, it has emerged as a legume with endowed nutritional potential because of high concentration of quality protein and other vital nutrients in its seeds. However, the genes and pathways involved in regulating seed development and size are not understood in this crop. In our study, we analyzed the transcriptome of two genotypes with contrasting grain size (IC426787: large seeded and IC552985: small seeded) at two different time points, namely, 5 and 10 days post-anthesis (DPA). The bold seeded genotype across the time points (B5_B10) revealed 6,928 differentially expressed genes (DEGs), whereas the small seeded genotype across the time point (S5_S10) contributed to 14,544 DEGs. We have also identified several candidate genes for seed development–related traits like seed size and 100-seed weight. On the basis of similarity search and domain analysis, some candidate genes (PHO1, cytokinin dehydrogenase, A-type cytokinin, and ARR response negative regulator) related to 100-seed weight and seed size showed downregulation in the small seeded genotype. The MapMan and KEGG analysis confirmed that auxin and cytokinin pathways varied in both the contrasting genotypes and can therefore be the regulators of the seed size and other seed development–related traits in ricebeans. A total of 51 genes encoding SCFTIR1/AFB, Aux/IAA, ARFs, E3 ubiquitin transferase enzyme, and 26S proteasome showing distinct expression dynamics in bold and small genotypes were also identified. We have also validated randomly selected SSR markers in eight accessions of the Vigna species (V. umbellata: 6; Vigna radiata: 1; and Vigna mungo: 1). Cross-species transferability pattern of ricebean–derived SSR markers was higher in V. radiata (73.08%) than V. mungo (50%). To the best of our knowledge, this is the first transcriptomic study conducted in this crop to understand the molecular basis of any trait. It would provide us a comprehensive understanding of the complex transcriptome dynamics during the seed development and gene regulatory mechanism of the seed size determination in ricebeans.
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