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Li J, Yang Y, Sun X, Liu R, Xia W, Shi P, Zhou L, Wang Y, Wu Y, Lei X, Xiao Y. Development of Intron Polymorphism Markers and Their Association With Fatty Acid Component Variation in Oil Palm. FRONTIERS IN PLANT SCIENCE 2022; 13:885418. [PMID: 35720541 PMCID: PMC9201816 DOI: 10.3389/fpls.2022.885418] [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: 02/28/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
Oil palm (Elaeis guineensis Jacq.) is a tropical woody oil crop of the palm family and is known as "the oil king of the world," but its palm oil contains about 50% palmitic acid, which is considered unhealthy for humans. Intron polymorphisms (IP) are highly efficient and easily examined molecular markers located adjacent to exon regions of functional genes, thus may be associated with targeted trait variation. In order to speed up the breeding of oil palm fatty acid composition, the current study identified a total of 310 introns located within 52 candidate genes involved in fatty acid biosynthesis in the oil palm genome. Based on the intron sequences, 205 primer pairs were designed, 64 of which showed polymorphism among 70 oil palm individuals. Phenotypic variation of fatty acid content in the 70 oil palm individuals was also investigated. Association analysis revealed that 13 IP markers were significantly associated with fatty acid content variation, and these IP markers were located on chromosomes 2, 5, 6, 8, 9, and 10 of oil palm. The development of such IP markers may be useful for the genetic improvement of fatty acid composition in oil palm.
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Affiliation(s)
- Jing Li
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Yaodong Yang
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Xiwei Sun
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Rui Liu
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Wei Xia
- Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, China
| | - Peng Shi
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Lixia Zhou
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Yong Wang
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Yi Wu
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, China
| | - Xintao Lei
- Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Yong Xiao
- Hainan Key Laboratory of Tropical Oil Crops Biology/Coconut Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wenchang, 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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Sun S, Yi C, Ma J, Wang S, Peirats-Llobet M, Lewsey MG, Whelan J, Shou H. Analysis of Spatio-Temporal Transcriptome Profiles of Soybean ( Glycine max) Tissues during Early Seed Development. Int J Mol Sci 2020; 21:E7603. [PMID: 33066688 PMCID: PMC7589660 DOI: 10.3390/ijms21207603] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 10/11/2020] [Accepted: 10/13/2020] [Indexed: 01/17/2023] Open
Abstract
Soybean (Glycine max) is an important crop providing oil and protein for both human and animal consumption. Knowing which biological processes take place in specific tissues in a temporal manner will enable directed breeding or synthetic approaches to improve seed quantity and quality. We analyzed a genome-wide transcriptome dataset from embryo, endosperm, endothelium, epidermis, hilum, outer and inner integument and suspensor at the global, heart and cotyledon stages of soybean seed development. The tissue specificity of gene expression was greater than stage specificity, and only three genes were differentially expressed in all seed tissues. Tissues had both unique and shared enriched functional categories of tissue-specifically expressed genes associated with them. Strong spatio-temporal correlation in gene expression was identified using weighted gene co-expression network analysis, with the most co-expression occurring in one seed tissue. Transcription factors with distinct spatiotemporal gene expression programs in each seed tissue were identified as candidate regulators of expression within those tissues. Gene ontology (GO) enrichment of orthogroup clusters revealed the conserved functions and unique roles of orthogroups with similar and contrasting expression patterns in transcript abundance between soybean and Arabidopsis during embryo proper and endosperm development. Key regulators in each seed tissue and hub genes connecting those networks were characterized by constructing gene regulatory networks. Our findings provide an important resource for describing the structure and function of individual soybean seed compartments during early seed development.
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Affiliation(s)
- Shuo Sun
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; (S.S.); (J.M.)
| | - Changyu Yi
- Australian Research Council Centre of Excellence in Plant Energy Biology, Department of Animal, Plant and Soil Science, School of Life Science, La Trobe University, Bundoora, Victoria 3086, Australia; (C.Y.); (M.P.-L.)
| | - Jing Ma
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; (S.S.); (J.M.)
| | - Shoudong Wang
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Changchun 130102, China;
| | - Marta Peirats-Llobet
- Australian Research Council Centre of Excellence in Plant Energy Biology, Department of Animal, Plant and Soil Science, School of Life Science, La Trobe University, Bundoora, Victoria 3086, Australia; (C.Y.); (M.P.-L.)
| | - Mathew G. Lewsey
- Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, Victoria 3086, Australia;
- Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, Victoria 3086, Australia
| | - James Whelan
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; (S.S.); (J.M.)
- Australian Research Council Centre of Excellence in Plant Energy Biology, Department of Animal, Plant and Soil Science, School of Life Science, La Trobe University, Bundoora, Victoria 3086, Australia; (C.Y.); (M.P.-L.)
- Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, Victoria 3086, Australia
| | - Huixia Shou
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; (S.S.); (J.M.)
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Hong MJ, Jang YE, Kim DG, Kim JM, Lee MK, Kim JB, Eom SH, Ha BK, Lyu JI, Kwon SJ. Selection of mutants with high linolenic acid contents and characterization of fatty acid desaturase 2 and 3 genes during seed development in soybean (Glycine max). JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2019; 99:5384-5391. [PMID: 31077382 DOI: 10.1002/jsfa.9798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/14/2019] [Accepted: 05/02/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Soybean seeds contain 18-24% lipids, which are made up of 85% polyunsaturated fatty acids. Two of these (linoleic and linolenic acids) comprise essential fatty acids that are not synthesized in humans and animals. Linolenic acid plays a vital role in the maintenance of brain function and is a source of docosahexaenoic acid for retinal and nerve tissue, with its physiological functions being a focus of attention. RESULTS We developed mutant soybean populations via gamma irradiation of Korean cultivars Danbaek and Daepung and evaluated the linolenic acid content of 78 and 154 M9 mutant progenies. We selected the four mutant lines with the highest linolenic acid contents based on 2 years of investigation of fatty acids. The selected mutant lines had linolenic acid contents that were 33.9% to 67.7% higher than those of the original cultivars and exhibited increased fatty acid desaturase (FAD) gene expression levels during seed development. We also identified nucleotide polymorphisms of FAD genes in the four mutant lines. CONCLUSION The present study found that linolenic acid content is related to significantly increased expression levels of the FAD3C and FAD3D genes in the endoplasmic reticulum, which was uncovered by radiation mutation breeding of soybean. © 2019 Society of Chemical Industry.
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Affiliation(s)
- Min Jeong Hong
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
| | - Young Eun Jang
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
| | - Dong-Gun Kim
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
- Department of Life-Resources, Graduate School, Sunchon National University, Sunchon, Korea
| | - Jung Min Kim
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
- Division of Plant Biotechnology, Collage of Agriculture and Life Science, Chonnam National University, Gwangju, Korea
| | - Min-Kyu Lee
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
- Division of Plant Biotechnology, Collage of Agriculture and Life Science, Chonnam National University, Gwangju, Korea
| | - Jin-Baek Kim
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
| | - Seok Hyun Eom
- Department of Horticultural Biotechnology, College of Life Sciences, Kyung Hee University, Yongin, Korea
| | - Bo-Keun Ha
- Division of Plant Biotechnology, Collage of Agriculture and Life Science, Chonnam National University, Gwangju, Korea
| | - Jae Il Lyu
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
| | - Soon-Jae Kwon
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, Korea
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Genome-Wide Identification and Comparative Expression Profile Analysis of the Long-Chain Acyl-CoA synthetase (LACS) Gene Family in Two Different Oil Content Cultivars of Brassica napus. Biochem Genet 2019; 57:781-800. [DOI: 10.1007/s10528-019-09921-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 04/01/2019] [Indexed: 12/27/2022]
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6
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Chang Y, Liu H, Liu M, Liao X, Sahu SK, Fu Y, Song B, Cheng S, Kariba R, Muthemba S, Hendre PS, Mayes S, Ho WK, Yssel AEJ, Kendabie P, Wang S, Li L, Muchugi A, Jamnadass R, Lu H, Peng S, Van Deynze A, Simons A, Yana-Shapiro H, Van de Peer Y, Xu X, Yang H, Wang J, Liu X. The draft genomes of five agriculturally important African orphan crops. Gigascience 2019; 8:giy152. [PMID: 30535374 PMCID: PMC6405277 DOI: 10.1093/gigascience/giy152] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 10/29/2018] [Accepted: 11/22/2018] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND The expanding world population is expected to double the worldwide demand for food by 2050. Eighty-eight percent of countries currently face a serious burden of malnutrition, especially in Africa and south and southeast Asia. About 95% of the food energy needs of humans are fulfilled by just 30 species, of which wheat, maize, and rice provide the majority of calories. Therefore, to diversify and stabilize the global food supply, enhance agricultural productivity, and tackle malnutrition, greater use of neglected or underutilized local plants (so-called orphan crops, but also including a few plants of special significance to agriculture, agroforestry, and nutrition) could be a partial solution. RESULTS Here, we present draft genome information for five agriculturally, biologically, medicinally, and economically important underutilized plants native to Africa: Vigna subterranea, Lablab purpureus, Faidherbia albida, Sclerocarya birrea, and Moringa oleifera. Assembled genomes range in size from 217 to 654 Mb. In V. subterranea, L. purpureus, F. albida, S. birrea, and M. oleifera, we have predicted 31,707, 20,946, 28,979, 18,937, and 18,451 protein-coding genes, respectively. By further analyzing the expansion and contraction of selected gene families, we have characterized root nodule symbiosis genes, transcription factors, and starch biosynthesis-related genes in these genomes. CONCLUSIONS These genome data will be useful to identify and characterize agronomically important genes and understand their modes of action, enabling genomics-based, evolutionary studies, and breeding strategies to design faster, more focused, and predictable crop improvement programs.
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Affiliation(s)
- Yue Chang
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Huan Liu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Min Liu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Xuezhu Liao
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Sunil Kumar Sahu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Yuan Fu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Bo Song
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Shifeng Cheng
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Robert Kariba
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Samuel Muthemba
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Prasad S Hendre
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Sean Mayes
- Plant and Crop Sciences, Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire LE12 5RD, UK
- Biosciences, University of Nottingham Malaysia Campus, Jalan Broga 43500 Semenyih, Selangor, Malaysia
- Crops For the Future, Jalan Broga, 43500 Semenyih, Selangor, Malaysia
| | - Wai Kuan Ho
- Biosciences, University of Nottingham Malaysia Campus, Jalan Broga 43500 Semenyih, Selangor, Malaysia
- Crops For the Future, Jalan Broga, 43500 Semenyih, Selangor, Malaysia
| | - Anna E J Yssel
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0028, South Africa
| | - Presidor Kendabie
- Plant and Crop Sciences, Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire LE12 5RD, UK
| | - Sibo Wang
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Linzhou Li
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Alice Muchugi
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Ramni Jamnadass
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Haorong Lu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Shufeng Peng
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Allen Van Deynze
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
- University of California, 1 Shields Ave, Davis, CA 95616, USA
| | - Anthony Simons
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Howard Yana-Shapiro
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
- University of California, 1 Shields Ave, Davis, CA 95616, USA
| | - Yves Van de Peer
- Center for Plant Systems Biology, VIB, Ghent B-9052, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent B-9052, Belgium
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0028, South Africa
| | - Xun Xu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Huanming Yang
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Jian Wang
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Xin Liu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- BGI-Fuyang, BGI-Shenzhen, Fuyang 236009, China
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Qi Z, Zhang Z, Wang Z, Yu J, Qin H, Mao X, Jiang H, Xin D, Yin Z, Zhu R, Liu C, Yu W, Hu Z, Wu X, Liu J, Chen Q. Meta-analysis and transcriptome profiling reveal hub genes for soybean seed storage composition during seed development. PLANT, CELL & ENVIRONMENT 2018; 41:2109-2127. [PMID: 29486529 DOI: 10.1111/pce.13175] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 02/10/2018] [Accepted: 02/12/2018] [Indexed: 06/08/2023]
Abstract
Soybean is an important crop providing edible oil and protein source. Soybean oil and protein contents are quantitatively inherited and significantly affected by environmental factors. In this study, meta-analysis was conducted based on soybean physical maps to integrate quantitative trait loci (QTLs) from multiple experiments in different environments. Meta-QTLs for seed oil, fatty acid composition, and protein were identified. Of them, 11 meta-QTLs were located on hot regions for both seed oil and protein. Next, we selected 4 chromosome segment substitution lines with different seed oil and protein contents to characterize their 3 years of phenotype selection in the field. Using strand-specific RNA-sequencing analysis, we profile the time-course transcriptome patterns of soybean seeds at early maturity, middle maturity, and dry seed stages. Pairwise comparison and K-means clustering analysis revealed 7,482 differentially expressed genes and 45 expression patterns clusters. Weighted gene coexpression network analysis uncovered 46 modules of gene expression patterns. The 2 most significant coexpression networks were visualized, and 7 hub genes were identified that were involved in soybean oil and seed storage protein accumulation processes. Our results provided a transcriptome dataset for soybean seed development, and the candidate hub genes represent a foundation for further research.
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Affiliation(s)
- Zhaoming Qi
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Zhanguo Zhang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Zhongyu Wang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Jingyao Yu
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Hongtao Qin
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Xinrui Mao
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Hongwei Jiang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Dawei Xin
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Zhengong Yin
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Rongsheng Zhu
- 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
| | - Wei Yu
- National Key Facility for Crop Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China
| | - Zhenbang Hu
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Xiaoxia Wu
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
| | - Jun Liu
- National Key Facility for Crop Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, People's Republic of China
| | - Qingshan Chen
- College of Agriculture, Northeast Agricultural University, Harbin, 150030, Heilongjiang, People's Republic of China
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Zhang T, Song C, Song L, Shang Z, Yang S, Zhang D, Sun W, Shen Q, Zhao D. RNA Sequencing and Coexpression Analysis Reveal Key Genes Involved in α-Linolenic Acid Biosynthesis in Perilla frutescens Seed. Int J Mol Sci 2017; 18:ijms18112433. [PMID: 29144390 PMCID: PMC5713401 DOI: 10.3390/ijms18112433] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Revised: 11/09/2017] [Accepted: 11/15/2017] [Indexed: 12/24/2022] Open
Abstract
Perilla frutescen is used as traditional food and medicine in East Asia. Its seeds contain high levels of α-linolenic acid (ALA), which is important for health, but is scarce in our daily meals. Previous reports on RNA-seq of perilla seed had identified fatty acid (FA) and triacylglycerol (TAG) synthesis genes, but the underlying mechanism of ALA biosynthesis and its regulation still need to be further explored. So we conducted Illumina RNA-sequencing in seven temporal developmental stages of perilla seeds. Sequencing generated a total of 127 million clean reads, containing 15.88 Gb of valid data. The de novo assembly of sequence reads yielded 64,156 unigenes with an average length of 777 bp. A total of 39,760 unigenes were annotated and 11,693 unigenes were found to be differentially expressed in all samples. According to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, 486 unigenes were annotated in the “lipid metabolism” pathway. Of these, 150 unigenes were found to be involved in fatty acid (FA) biosynthesis and triacylglycerol (TAG) assembly in perilla seeds. A coexpression analysis showed that a total of 104 genes were highly coexpressed (r > 0.95). The coexpression network could be divided into two main subnetworks showing over expression in the medium or earlier and late phases, respectively. In order to identify the putative regulatory genes, a transcription factor (TF) analysis was performed. This led to the identification of 45 gene families, mainly including the AP2-EREBP, bHLH, MYB, and NAC families, etc. After coexpression analysis of TFs with highly expression of FAD2 and FAD3 genes, 162 TFs were found to be significantly associated with two FAD genes (r > 0.95). Those TFs were predicted to be the key regulatory factors in ALA biosynthesis in perilla seed. The qRT-PCR analysis also verified the relevance of expression pattern between two FAD genes and partial candidate TFs. Although it has been reported that some TFs are involved in seed development, more direct evidence is still needed to verify their function. However, these findings can provide clues to reveal the possible molecular mechanisms of ALA biosynthesis and its regulation in perilla seed.
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Affiliation(s)
- Tianyuan Zhang
- Rapeseed Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, China.
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Guizhou University, Guiyang 550025, China.
| | - Chi Song
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Li Song
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Guizhou University, Guiyang 550025, China.
| | - Zhiwei Shang
- Rapeseed Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, China.
| | - Sen Yang
- Rapeseed Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, China.
| | - Dong Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Wei Sun
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Qi Shen
- Rapeseed Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, China.
| | - Degang Zhao
- Rapeseed Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, China.
- The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), Guizhou University, Guiyang 550025, China.
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Cui Y, Zhao Y, Wang Y, Liu Z, Ijaz B, Huang Y, Hua J. Genome-Wide Identification and Expression Analysis of the Biotin Carboxyl Carrier Subunits of Heteromeric Acetyl-CoA Carboxylase in Gossypium. FRONTIERS IN PLANT SCIENCE 2017; 8:624. [PMID: 28507552 PMCID: PMC5410604 DOI: 10.3389/fpls.2017.00624] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 04/06/2017] [Indexed: 05/27/2023]
Abstract
Acetyl-CoA carboxylase is an important enzyme, which catalyzes acetyl-CoA's carboxylation to produce malonyl-CoA and to serve as a committed step for de novo fatty acid biosynthesis in plastids. In this study, 24 putative cotton BCCP genes were identified based on the lately published genome data in Gossypium. Among them, 4, 4, 8, and 8 BCCP homologs were identified in Gossypium raimondii, G. arboreum, G. hirsutum, and G. barbadense, respectively. These genes were divided into two classes based on a phylogenetic analysis. In each class, these homologs were relatively conserved in gene structure and motifs. The chromosomal distribution pattern revealed that all the BCCP genes were distributed equally on corresponding chromosomes or scaffold in the four cotton species. Segmental duplication was a predominant duplication event in both of G. hirsutum and G. barbadense. The analysis of the expression profile showed that 8 GhBCCP genes expressed in all the tested tissues with changed expression levels, and GhBCCP genes belonging to class II were predominantly expressed in developing ovules. Meanwhile, the expression analysis for the 16 cotton BCCP genes from G. raimondii, G. arboreum and G. hirsutum showed that they were induced or suppressed by cold or salt stress, and their expression patterns varied among different tissues. These findings will help to determine the functional and evolutionary characteristics of the BCCP genes in Gossypium species.
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Affiliation(s)
- Yupeng Cui
- Laboratory of Cotton Genetics, Genomics and Breeding, College of Agronomy and Biotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural UniversityBeijing, China
| | - Yanpeng Zhao
- Laboratory of Cotton Genetics, Genomics and Breeding, College of Agronomy and Biotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural UniversityBeijing, China
| | - Yumei Wang
- Research Institute of Cash Crop, Hubei Academy of Agricultural SciencesWuhan, China
| | - Zhengjie Liu
- Laboratory of Cotton Genetics, Genomics and Breeding, College of Agronomy and Biotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural UniversityBeijing, China
| | - Babar Ijaz
- Laboratory of Cotton Genetics, Genomics and Breeding, College of Agronomy and Biotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural UniversityBeijing, China
| | - Yi Huang
- Oil Crops Research Institute, Chinese Academy of Agricultural SciencesWuhan, China
| | - Jinping Hua
- Laboratory of Cotton Genetics, Genomics and Breeding, College of Agronomy and Biotechnology/Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural UniversityBeijing, China
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Chaudhary J, Patil GB, Sonah H, Deshmukh RK, Vuong TD, Valliyodan B, Nguyen HT. Expanding Omics Resources for Improvement of Soybean Seed Composition Traits. FRONTIERS IN PLANT SCIENCE 2015; 6:1021. [PMID: 26635846 PMCID: PMC4657443 DOI: 10.3389/fpls.2015.01021] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 11/05/2015] [Indexed: 05/19/2023]
Abstract
Food resources of the modern world are strained due to the increasing population. There is an urgent need for innovative methods and approaches to augment food production. Legume seeds are major resources of human food and animal feed with their unique nutrient compositions including oil, protein, carbohydrates, and other beneficial nutrients. Recent advances in next-generation sequencing (NGS) together with "omics" technologies have considerably strengthened soybean research. The availability of well annotated soybean genome sequence along with hundreds of identified quantitative trait loci (QTL) associated with different seed traits can be used for gene discovery and molecular marker development for breeding applications. Despite the remarkable progress in these technologies, the analysis and mining of existing seed genomics data are still challenging due to the complexity of genetic inheritance, metabolic partitioning, and developmental regulations. Integration of "omics tools" is an effective strategy to discover key regulators of various seed traits. In this review, recent advances in "omics" approaches and their use in soybean seed trait investigations are presented along with the available databases and technological platforms and their applicability in the improvement of soybean. This article also highlights the use of modern breeding approaches, such as genome-wide association studies (GWAS), genomic selection (GS), and marker-assisted recurrent selection (MARS) for developing superior cultivars. A catalog of available important resources for major seed composition traits, such as seed oil, protein, carbohydrates, and yield traits are provided to improve the knowledge base and future utilization of this information in the soybean crop improvement programs.
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