1
|
Jiang L, Yang X, Gao X, Yang H, Ma S, Huang S, Zhu J, Zhou H, Li X, Gu X, Zhou H, Liang Z, Yang A, Huang Y, Xiao M. Multiomics Analyses Reveal the Dual Role of Flavonoids in Pigmentation and Abiotic Stress Tolerance of Soybean Seeds. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:3231-3243. [PMID: 38303105 DOI: 10.1021/acs.jafc.3c08202] [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: 02/03/2024]
Abstract
The color of the seed coat has great diversity and is regarded as a biomarker of metabolic variations. Here we isolated a soybean variant (BLK) from a population of recombinant inbred lines with a black seed coat, while its sibling plants have yellow seed coats (YL). The BLK and YL plants showed no obvious differences in vegetative growth and seed weight. However, the BLK seeds had higher anthocyanins and flavonoids level and showed tolerance to various abiotic stresses including herbicide, oxidation, salt, and alkalinity during germination. Integrated metabolomic and transcriptomic analyses revealed that the upregulation of biosynthetic genes probably contributed to the overaccumulation of flavonoids in BLK seeds. The transient expression of those biosynthetic genes in soybean root hairs increased the levels of total flavonoids or anthocyanins. Our study revealed the molecular basis of flavonoid accumulation in soybean seeds, leveraging genetic engineering for both nutritious and stress-tolerant soybean germplasm.
Collapse
Affiliation(s)
- Ling Jiang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
- Yuelushan Laboratory, Changsha 410128, People's Republic of China
| | - Xiaofeng Yang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
| | - Xiewang Gao
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
- School of Life Sciences, Chinese University of Hong Kong, Hong Kong 999077, People's Republic of China
| | - Hui Yang
- College of Agronomy, Hunan Agricultural University, Changsha 410128, People's Republic of China
| | - Shumei Ma
- Hunan Key Laboratory of Economic Crops Genetic Improvement and Integrated Utilization, School of Life Science, Hunan University of Science and Technology, Xiangtan 411201, People's Republic of China
| | - Shan Huang
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
| | - Jianyu Zhu
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
| | - Hong Zhou
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
| | - Xiaohong Li
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
| | - Xiaoyan Gu
- Crop Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, People's Republic of China
| | - Hongming Zhou
- College of Agronomy, Hunan Agricultural University, Changsha 410128, People's Republic of China
| | - Zeya Liang
- College of Agronomy, Hunan Agricultural University, Changsha 410128, People's Republic of China
| | - Antong Yang
- College of Agronomy, Hunan Agricultural University, Changsha 410128, People's Republic of China
| | - Yong Huang
- Yuelushan Laboratory, Changsha 410128, People's Republic of China
- Key Laboratory of Hunan Province on Crop Epigenetic Regulation and Development, Hunan Agricultural University, Changsha 410128, People's Republic of China
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan 410128, China
| | - Mu Xiao
- Yuelushan Laboratory, Changsha 410128, People's Republic of China
- College of Agronomy, Hunan Agricultural University, Changsha 410128, People's Republic of China
- Key Laboratory of Hunan Province on Crop Epigenetic Regulation and Development, Hunan Agricultural University, Changsha 410128, People's Republic of China
| |
Collapse
|
2
|
Park HR, Seo JH, Kang BK, Kim JH, Heo SV, Choi MS, Ko JY, Kim CS. QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean. PLANTS (BASEL, SWITZERLAND) 2023; 12:3589. [PMID: 37896053 PMCID: PMC10610525 DOI: 10.3390/plants12203589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023]
Abstract
This study aimed to discover the quantitative trait loci (QTL) associated with a high seed protein content in soybean and unravel the potential candidate genes. We developed two recombinant inbred line populations: YS and SI, by crossing Saedanbaek (high protein) with YS2035-B-91-1-B-1 (low protein) and Saedanbaek with Ilmi (low protein), respectively, and evaluated the protein content for three consecutive years. Using single-nucleotide polymorphism (SNP)-marker-based linkage maps, four QTLs were located on chromosomes 15, 18, and 20 with high logarithm of odds values (5.9-55.0), contributing 5.5-66.0% phenotypic variance. In all three experimental years, qPSD20-1 and qPSD20-2 were stable and identified in overlapping positions in the YS and SI populations, respectively. Additionally, novel QTLs were identified on chromosomes 15 and 18. Considering the allelic sequence variation between parental lines, 28 annotated genes related to soybean seed protein-including starch, lipid, and fatty acid biosynthesis-related genes-were identified within the QTL regions. These genes could potentially affect protein accumulation during seed development, as well as sucrose and oil metabolism. Overall, this study offers insights into the genetic mechanisms underlying a high soybean protein content. The identified potential candidate genes can aid marker-assisted selection for developing soybean lines with an increased protein content.
Collapse
Affiliation(s)
| | - Jeong Hyun Seo
- Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang 50424, Republic of Korea; (H.R.P.); (B.K.K.); (J.H.K.); (S.V.H.); (M.S.C.); (J.Y.K.); (C.S.K.)
| | | | | | | | | | | | | |
Collapse
|
3
|
Soni K, Frew R, Kebede B. A review of conventional and rapid analytical techniques coupled with multivariate analysis for origin traceability of soybean. Crit Rev Food Sci Nutr 2023:1-20. [PMID: 36734977 DOI: 10.1080/10408398.2023.2171961] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Soybean has developed a reputation as a superfood due to its nutrient profile, health benefits, and versatility. Since 1960, its demand has increased dramatically, going from a mere 17 MMT to almost 358 MMT in the production year 2021/22. These extremely high production rates have led to lower-than-expected product quality, adulteration, illegal trade, deforestation, and other concerns. This necessitates the development of an effective technology to confirm soybean's provenance. This is the first review that investigates current analytical techniques coupled with multivariate analysis for origin traceability of soybeans. The fundamentals of several analytical techniques are presented, assessed, compared, and discussed in terms of their operating specifics, advantages, and shortcomings. Additionally, significance of multivariate analysis in analyzing complex data has also been discussed.
Collapse
Affiliation(s)
- Khushboo Soni
- Department of Food Science, University of Otago, Dunedin, New Zealand
| | - Russell Frew
- Oritain Global Limited, Central Dunedin 9016, Dunedin, New Zealand
| | - Biniam Kebede
- Department of Food Science, University of Otago, Dunedin, New Zealand
| |
Collapse
|
4
|
Origin, Maturity Group and Seed Coat Color Influence Carotenoid and Chlorophyll Concentrations in Soybean Seeds. PLANTS 2022; 11:plants11070848. [PMID: 35406828 PMCID: PMC9003432 DOI: 10.3390/plants11070848] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/18/2022] [Accepted: 03/20/2022] [Indexed: 01/30/2023]
Abstract
Soybean (Glycine max (L.) Merrill) seeds are abundant in physiologically active metabolites, including carotenoids and chlorophylls, and are used as an affordable source of functional foods that promote and maintain human health. The distribution and variation of soybean seed metabolites are influenced by plant genetic characteristics and environmental factors. Here, we investigated the effects of germplasm origin, genotype, seed coat color and maturity group (MG) on the concentration variation of carotenoid and chlorophyll components in 408 soybean germplasm accessions collected from China, Japan, the USA and Russia. The results showed that genotype, germplasm origin, seed color, and MG were significant variation sources of carotenoid and chlorophyll contents in soybean seeds. The total carotenoids showed about a 25-fold variation among the soybean germplasms, with an overall mean of 12.04 µg g−1. Russian soybeans yielded 1.3-fold higher total carotenoids compared with Chinese and Japanese soybeans. Similarly, the total chlorophylls were substantially increased in Russian soybeans compared to the others. Soybeans with black seed coat color contained abundant concentrations of carotenoids, with mainly lutein (19.98 µg g−1), β-carotene (0.64 µg g−1) and total carotenoids (21.04 µg g−1). Concentrations of lutein, total carotenoids and chlorophylls generally decreased in late MG soybeans. Overall, our results demonstrate that soybean is an excellent dietary source of carotenoids, which strongly depend on genetic factors, germplasm origin, MG and seed coat color. Thus, this study suggests that soybean breeders should consider these factors along with environmental factors in developing carotenoid-rich cultivars and related functional food resources.
Collapse
|