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Jong C, Yu Z, Zhang Y, Choe K, Uh S, Kim K, Jong C, Cha J, Kim M, Kim Y, Han X, Yang M, Xu C, Hu L, Chen Q, Liu C, Qi Z. Multi-Omics Analysis of a Chromosome Segment Substitution Line Reveals a New Regulation Network for Soybean Seed Storage Profile. Int J Mol Sci 2024; 25:5614. [PMID: 38891802 PMCID: PMC11171932 DOI: 10.3390/ijms25115614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 05/17/2024] [Accepted: 05/19/2024] [Indexed: 06/21/2024] Open
Abstract
Soybean, a major source of oil and protein, has seen an annual increase in consumption when used in soybean-derived products and the broadening of its cultivation range. The demand for soybean necessitates a better understanding of the regulatory networks driving storage protein accumulation and oil biosynthesis to broaden its positive impact on human health. In this study, we selected a chromosome segment substitution line (CSSL) with high protein and low oil contents to investigate the underlying effect of donor introgression on seed storage through multi-omics analysis. In total, 1479 differentially expressed genes (DEGs), 82 differentially expressed proteins (DEPs), and 34 differentially expressed metabolites (DEMs) were identified in the CSSL compared to the recurrent parent. Based on Gene Ontology (GO) term analysis and the Kyoto Encyclopedia of Genes and Genomes enrichment (KEGG), integrated analysis indicated that 31 DEGs, 24 DEPs, and 13 DEMs were related to seed storage functionality. Integrated analysis further showed a significant decrease in the contents of the seed storage lipids LysoPG 16:0 and LysoPC 18:4 as well as an increase in the contents of organic acids such as L-malic acid. Taken together, these results offer new insights into the molecular mechanisms of seed storage and provide guidance for the molecular breeding of new favorable soybean varieties.
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Affiliation(s)
- Cholnam Jong
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Zhenhai Yu
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
- Heilongjiang Green Food Science Research Institute, Harbin 150000, China
| | - Yu Zhang
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Kyongho Choe
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Songrok Uh
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Kibong Kim
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Chol Jong
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Jinmyong Cha
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Myongguk Kim
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Yunchol Kim
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Xue Han
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Chang Xu
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - Limin Hu
- 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
| | - 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; (C.J.); (Z.Y.); (Y.Z.); (K.C.); (S.U.); (K.K.); (C.J.); (J.C.); (M.K.); (Y.K.); (X.H.); (M.Y.); (C.X.); (L.H.); (C.L.)
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Liao W, Guo R, Qian K, Shi W, Whelan J, Shou H. The acyl-acyl carrier protein thioesterases GmFATA1 and GmFATA2 are essential for fatty acid accumulation and growth in soybean. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:823-838. [PMID: 38224529 DOI: 10.1111/tpj.16638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 12/24/2023] [Accepted: 01/05/2024] [Indexed: 01/17/2024]
Abstract
Acyl-acyl carrier protein (ACP) thioesterases (FAT) hydrolyze acyl-ACP complexes to release FA in plastids, which ultimately affects FA biosynthesis and profiles. Soybean GmFATA1 and GmFATA2 are homoeologous genes encoding oleoyl-ACP thioesterases whose role in seed oil accumulation and plant growth has not been defined. Using CRISPR/Cas9 gene editing mutation of Gmfata1 or 2 led to reduced leaf FA content and growth defect at the early seedling stage. In contrast, no homozygous double mutants were obtained. Combined this indicates that GmFATA1 and GmFATA2 display overlapping, but not complete functional redundancy. Combined transcriptomic and lipidomic analysis revealed a large number of genes involved in FA synthesis and FA chain elongation are expressed at reduced level in the Gmfata1 mutant, accompanied by a lower triacylglycerol abundance at the early seedling stage. Further analysis showed that the Gmfata1 or 2 mutants had increased composition of the beneficial FA, oleic acid. The growth defect of Gmfata1 could be at least partially attributed to reduced acetyl-CoA carboxylase activity, reduced abundance of five unsaturated monogalactosyldiacylglycerol lipids, and altered chloroplast morphology. On the other hand, overexpression of GmFATA in soybean led to significant increases in leaf FA content by 5.7%, vegetative growth, and seed yield by 26.9%, and seed FA content by 23.2%. Thus, overexpression of GmFATA is an effective strategy to enhance soybean oil content and yield.
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Affiliation(s)
- Wenying Liao
- State Key Lab of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - Runze Guo
- State Key Lab of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - Kun Qian
- State Key Lab of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - Wanxuan Shi
- State Key Lab of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
| | - James Whelan
- State Key Lab of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
- The Provincial International Science and Technology Cooperation Base on Engineering Biology, International Campus of Zhejiang University, Haining, Zhejiang, 314400, China
| | - Huixia Shou
- State Key Lab of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, P. R. China
- The Provincial International Science and Technology Cooperation Base on Engineering Biology, International Campus of Zhejiang University, Haining, Zhejiang, 314400, China
- Hainan Institute, Zhejiang University, Sanya, Hainan, 572025, China
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Jia Q, Zhou M, Xiong Y, Wang J, Xu D, Zhang H, Liu X, Zhang W, Wang Q, Sun X, Chen H. Development of KASP markers assisted with soybean drought tolerance in the germination stage based on GWAS. FRONTIERS IN PLANT SCIENCE 2024; 15:1352379. [PMID: 38425800 PMCID: PMC10902137 DOI: 10.3389/fpls.2024.1352379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 01/30/2024] [Indexed: 03/02/2024]
Abstract
Soybean [Glycine max(L.)Merr.] is a leading oil-bearing crop and cultivated globally over a vast scale. The agricultural landscape in China faces a formidable challenge with drought significantly impacting soybean production. In this study, we treated a natural population of 264 Chinese soybean accessions using 15% PEG-6000 and used GR, GE, GI, RGR, RGE, RGI and ASFV as evaluation index. Using the ASFV, we screened 17 strong drought-tolerant soybean germplasm in the germination stage. Leveraging 2,597,425 high-density SNP markers, we conducted Genome-Wide Association Studies (GWAS) and identified 92 SNPs and 9 candidate genes significantly associated with drought tolerance. Furthermore, we developed two KASP markers for S14_5147797 and S18_53902767, which closely linked to drought tolerance. This research not only enriches the pool of soybean germplasm resources but also establishes a robust foundation for the molecular breeding of drought tolerance soybean varieties.
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Affiliation(s)
- Qianru Jia
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Miaomiao Zhou
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yawen Xiong
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
- College of Life Science, Nanjing Agricultural University, Nanjing, China
| | - Junyan Wang
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Donghe Xu
- Japan International Research Center for Agricultural Sciences (JIRCAS), Tsukuba, Japan
| | - 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
| | - Wei Zhang
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Qiong Wang
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Xin Sun
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Huatao Chen
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China
- Zhongshan Biological Breeding Laboratory (ZSBBL), Nanjing, China
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Li H, Che R, Zhu J, Yang X, Li J, Fernie AR, Yan J. Multi-omics-driven advances in the understanding of triacylglycerol biosynthesis in oil seeds. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 117:999-1017. [PMID: 38009661 DOI: 10.1111/tpj.16545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 11/01/2023] [Indexed: 11/29/2023]
Abstract
Vegetable oils are rich sources of polyunsaturated fatty acids and energy as well as valuable sources of human food, animal feed, and bioenergy. Triacylglycerols, which are comprised of three fatty acids attached to a glycerol backbone, are the main component of vegetable oils. Here, we review the development and application of multiple-level omics in major oilseeds and emphasize the progress in the analysis of the biological roles of key genes underlying seed oil content and quality in major oilseeds. Finally, we discuss future research directions in functional genomics research based on current omics and oil metabolic engineering strategies that aim to enhance seed oil content and quality, and specific fatty acids components according to either human health needs or industrial requirements.
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Affiliation(s)
- Hui Li
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, China
| | - Ronghui Che
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, China
| | - Jiantang Zhu
- School of Biological Science and Technology, University of Jinan, Jinan, 250022, China
| | - Xiaohong Yang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Jiansheng Li
- National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Alisdair R Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm, 14476, Germany
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
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Yu A, Zhou Z, Chen Y, Sun J, Li P, Gu X, Liu A. Functional Genome Analyses Reveal the Molecular Basis of Oil Accumulation in Developing Seeds of Castor Beans. Int J Mol Sci 2023; 25:92. [PMID: 38203263 PMCID: PMC10778879 DOI: 10.3390/ijms25010092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/18/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024] Open
Abstract
Castor (Ricinus communis L.) seeds produce abundant ricinoleic acid during seed maturation, which is important for plant development and human demands. Ricinoleic acid, as a unique hydroxy fatty acid (HFA), possesses a distinct bond structure that could be used as a substitute for fossil fuels. Here, we identified all homologous genes related to glycolysis, hydroxy fatty acid biosynthesis, and triacylglycerol (TAG) accumulation in castor seeds. Furthermore, we investigated their expression patterns globally during five seed development stages. We characterized a total of 66 genes involved in the glycolysis pathway, with the majority exhibiting higher expression levels during the early stage of castor bean seed development. This metabolic process provided abundant acetyl-CoA for fatty acid (FA) biosynthesis. Subsequently, we identified 82 genes involved in the processes of de novo FA biosynthesis and TAG assembly, with the majority exhibiting high expression levels during the middle or late stages. In addition, we examined the expression patterns of the transcription factors involved in carbohydrate and oil metabolism. For instance, RcMYB73 and RcERF72 exhibited high expression levels during the early stage, whereas RcWRI1, RcABI3, and RcbZIP67 showed relatively higher expression levels during the middle and late stages, indicating their crucial roles in seed development and oil accumulation. Our study suggests that the high HFA production in castor seeds is attributed to the interaction of multiple genes from sugar transportation to lipid droplet packaging. Therefore, this research comprehensively characterizes all the genes related to glycolysis, fatty acid biosynthesis, and triacylglycerol (TAG) accumulation in the castor and provides novel insight into exploring the genetic mechanisms underlying seed oil accumulation in the endosperm of castor beans.
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Affiliation(s)
| | | | | | | | | | | | - Aizhong Liu
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China; (A.Y.); (Z.Z.); (Y.C.); (J.S.); (P.L.); (X.G.)
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Hu Y, Liu Y, Wei JJ, Zhang WK, Chen SY, Zhang JS. Regulation of seed traits in soybean. ABIOTECH 2023; 4:372-385. [PMID: 38106437 PMCID: PMC10721594 DOI: 10.1007/s42994-023-00122-8] [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: 08/01/2023] [Accepted: 10/18/2023] [Indexed: 12/19/2023]
Abstract
Soybean (Glycine max) is an essential economic crop that provides vegetative oil and protein for humans, worldwide. Increasing soybean yield as well as improving seed quality is of great importance. Seed weight/size, oil and protein content are the three major traits determining seed quality, and seed weight also influences soybean yield. In recent years, the availability of soybean omics data and the development of related techniques have paved the way for better research on soybean functional genomics, providing a comprehensive understanding of gene functions. This review summarizes the regulatory genes that influence seed size/weight, oil content and protein content in soybean. We also provided a general overview of the pleiotropic effect for the genes in controlling seed traits and environmental stresses. Ultimately, it is expected that this review will be beneficial in breeding improved traits in soybean.
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Affiliation(s)
- Yang Hu
- State Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Yue Liu
- State Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Jun-Jie Wei
- State Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Wan-Ke Zhang
- State Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Shou-Yi Chen
- State Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
| | - Jin-Song Zhang
- State Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101 China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, 100049 China
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Pan P, Xing Y, Zhang D, Wang J, Liu C, Wu D, Wang X. A review on the identification of transgenic oilseeds and oils. J Food Sci 2023; 88:3189-3203. [PMID: 37458291 DOI: 10.1111/1750-3841.16705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 08/05/2023]
Abstract
Transgenic technology can increase the quantity and quality of vegetable oils worldwide. However, people are skeptical about the safety of transgenic oil-bearing crops and the oils they produce. In order to protect consumers' rights and avoid transgenic oils being adulterated or labeled as nontransgenic oils, the transgenic detection technology of oilseeds and oils needs careful consideration. This paper first summarized the current research status of transgenic technologies implemented at oil-bearing crops. Then, an inspection process was proposed to detect a large number of samples to be the subject rapidly, and various inspection strategies for transgenic oilseeds and oils were summarized according to the process sequence. The detection indicators included oil content, fatty acid, triglyceride, tocopherol, and nucleic acid. The detection technologies involved chromatography, spectroscopy, nuclear magnetic resonance, and polymerase chain reaction. It is hoped that this article can provide crucial technical reference and support for staff engaging in the supervision of transgenic food and for researchers developing fast and efficient monitoring methods in the future.
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Affiliation(s)
- Pengyuan Pan
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, China
- National Engineering Laboratory of Wheat and Corn Deep Processing, Changchun, China
| | - Yihang Xing
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, China
- National Engineering Laboratory of Wheat and Corn Deep Processing, Changchun, China
| | - Dingwen Zhang
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, China
- National Engineering Laboratory of Wheat and Corn Deep Processing, Changchun, China
| | - Ji Wang
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, China
- National Engineering Laboratory of Wheat and Corn Deep Processing, Changchun, China
| | - Chunlei Liu
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, China
- National Engineering Laboratory of Wheat and Corn Deep Processing, Changchun, China
| | - Dan Wu
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, China
- National Engineering Laboratory of Wheat and Corn Deep Processing, Changchun, China
| | - Xiyan Wang
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, China
- National Engineering Laboratory of Wheat and Corn Deep Processing, Changchun, China
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Zhao X, Wang J, Xia N, Liu Y, Qu Y, Ming M, Zhan Y, Han Y, Zhao X, Li Y. Combined analysis of the metabolome and transcriptome provides insight into seed oil accumulation in soybean. BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS 2023; 16:70. [PMID: 37098528 PMCID: PMC10131312 DOI: 10.1186/s13068-023-02321-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 04/16/2023] [Indexed: 04/27/2023]
Abstract
BACKGROUND Soybean (Glycine max (L.) Merr) is an important source of human food, animal feed, and bio-energy. Although the genetic network of lipid metabolism is clear in Arabidopsis, the understanding of lipid metabolism in soybean is limited. RESULTS In this study, 30 soybean varieties were subjected to transcriptome and metabolome analysis. In total, 98 lipid-related metabolites were identified, including glycerophospholipid, alpha-linolenic acid, linoleic acid, glycolysis, pyruvate, and the sphingolipid pathway. Of these, glycerophospholipid pathway metabolites accounted for the majority of total lipids. Combining the transcriptomic and metabolomic analyses, we found that 33 lipid-related metabolites and 83 lipid-related genes, 14 lipid-related metabolites and 17 lipid-related genes, and 12 lipid-related metabolites and 25 lipid-related genes were significantly correlated in FHO (five high-oil varieties) vs. FLO (five low-oil varieties), THO (10 high-oil varieties) vs. TLO (10 low-oil varieties), and HO (15 high-oil varieties) vs. LO (15 low-oil varieties), respectively. CONCLUSIONS The GmGAPDH and GmGPAT genes were significantly correlated with lipid metabolism genes, and the result revealed the regulatory relationship between glycolysis and oil synthesis. These results improve our understanding of the regulatory mechanism of soybean seed oil improvement.
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Affiliation(s)
- Xunchao Zhao
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Jie Wang
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Ning Xia
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Yuanyuan Liu
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Yuewen Qu
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Meng Ming
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Yuhang Zhan
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China
| | - Yingpeng Han
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
| | - Xue Zhao
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
| | - Yongguang Li
- Key Laboratory of Soybean Biology in Chinese Ministry of Education (Key Laboratory of Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry), Northeast Agricultural University, Harbin, 150030, China.
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Du H, Fang C, Li Y, Kong F, Liu B. Understandings and future challenges in soybean functional genomics and molecular breeding. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:468-495. [PMID: 36511121 DOI: 10.1111/jipb.13433] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 12/11/2022] [Indexed: 06/17/2023]
Abstract
Soybean (Glycine max) is a major source of plant protein and oil. Soybean breeding has benefited from advances in functional genomics. In particular, the release of soybean reference genomes has advanced our understanding of soybean adaptation to soil nutrient deficiencies, the molecular mechanism of symbiotic nitrogen (N) fixation, biotic and abiotic stress tolerance, and the roles of flowering time in regional adaptation, plant architecture, and seed yield and quality. Nevertheless, many challenges remain for soybean functional genomics and molecular breeding, mainly related to improving grain yield through high-density planting, maize-soybean intercropping, taking advantage of wild resources, utilization of heterosis, genomic prediction and selection breeding, and precise breeding through genome editing. This review summarizes the current progress in soybean functional genomics and directs future challenges for molecular breeding of soybean.
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Affiliation(s)
- Haiping Du
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
| | - Chao Fang
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
| | - Yaru Li
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
| | - Fanjiang Kong
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
| | - Baohui Liu
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
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10
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Sagun JV, Yadav UP, Alonso AP. Progress in understanding and improving oil content and quality in seeds. FRONTIERS IN PLANT SCIENCE 2023; 14:1116894. [PMID: 36778708 PMCID: PMC9909563 DOI: 10.3389/fpls.2023.1116894] [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: 12/05/2022] [Accepted: 01/09/2023] [Indexed: 06/18/2023]
Abstract
The world's population is projected to increase by two billion by 2050, resulting in food and energy insecurity. Oilseed crops have been identified as key to address these challenges: they produce and store lipids in the seeds as triacylglycerols that can serve as a source of food/feed, renewable fuels, and other industrially-relevant chemicals. Therefore, improving seed oil content and composition has generated immense interest. Research efforts aiming to unravel the regulatory pathways involved in fatty acid synthesis and to identify targets for metabolic engineering have made tremendous progress. This review provides a summary of the current knowledge of oil metabolism and discusses how photochemical activity and unconventional pathways can contribute to high carbon conversion efficiency in seeds. It also highlights the importance of 13C-metabolic flux analysis as a tool to gain insights on the pathways that regulate oil biosynthesis in seeds. Finally, a list of key genes and regulators that have been recently targeted to enhance seed oil production are reviewed and additional possible targets in the metabolic pathways are proposed to achieve desirable oil content and quality.
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11
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Bioengineering of Soybean Oil and Its Impact on Agronomic Traits. Int J Mol Sci 2023; 24:ijms24032256. [PMID: 36768578 PMCID: PMC9916542 DOI: 10.3390/ijms24032256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/17/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
Soybean is a major oil crop and is also a dominant source of nutritional protein. The 20% seed oil content (SOC) of soybean is much lower than that in most oil crops and the fatty acid composition of its native oil cannot meet the specifications for some applications in the food and industrial sectors. Considerable effort has been expended on soybean bioengineering to tailor fatty acid profiles and improve SOC. Although significant advancements have been made, such as the creation of high-oleic acid soybean oil and high-SOC soybean, those genetic modifications have some negative impacts on soybean production, for instance, impaired germination or low protein content. In this review, we focus on recent advances in the bioengineering of soybean oil and its effects on agronomic traits.
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12
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Shao Z, Shao J, Huo X, Li W, Kong Y, Du H, Li X, Zhang C. Identification of closely associated SNPs and candidate genes with seed size and shape via deep re-sequencing GWAS in soybean. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:2341-2351. [PMID: 35588015 DOI: 10.1007/s00122-022-04116-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
KEY MESSAGE A soybean natural population was genotyped by deep re-sequencing and phenotyped for six seed size- and shape-related traits under six environments to identify closely associated SNPs and candidate genes. Seed size and shape are important determining factors for soybean yield formation, while their genetic basis and molecular mechanism are still largely unknown, which seriously constrains the increasing of soybean yield at present. In view of this, a natural population was genotyped via the deep re-sequencing technique (~ 20 ×) and phenotyped for six related traits under six environments. In total, 154 SNPs were closely associated with seed length across diverse environments, and 323, 483, 565, 394 and 2038 SNPs were closely associated with seed width, seed diameter, seed circumference, seed area and ratio of length to width under multiple environments. Moreover, 98.70%, 96.28%, 48.24%, 85.13%, 97.21% and 98.58% of them were further demonstrated by the BLUP and mean values of the related traits. Furthermore, 218 genes flanking the associated SNPs on chromosomes 6 and 10 were analyzed for DNA mutations and RNA expressions through SNP alleles and transcriptome data, simultaneously. The candidate genes, Glyma.10G035200 (Sn1-specific diacylglycerol lipase), Glyma.10G035400 (transcription factor) and Glyma.10G058200 (phenylalanine ammonia-lyase), were discovered to relate with the seed size and shape for their different DNA sequences or differential RNA expressions among soybean varieties at five seed developmental stages. Thus, these closely associated SNPs and related genes provide novel insights and useful information for the seed size and shape genetic basis dissection and breeding improvement in soybean.
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Affiliation(s)
- Zhenqi Shao
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China
| | - Jiabiao Shao
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China
| | - Xiaobo Huo
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China
| | - Wenlong Li
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China
| | - Youbin Kong
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China
| | - Hui Du
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China
| | - Xihuan Li
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China.
| | - Caiying Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Key Laboratory for Crop Germplasm Resources of Hebei, Hebei Agricultural University, Lekai South Street 2596, Baoding City, 071001, Hebei Province, People's Republic of China.
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13
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Bragagnolo FS, Álvarez-Rivera G, Breitkreitz MC, Ibáñez E, Cifuentes A, Funari CS. Metabolite Profiling of Soy By-Products: A Comprehensive Approach. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:7321-7341. [PMID: 35652359 DOI: 10.1021/acs.jafc.2c01050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Soy is the major oilseed crop as soybeans are widely used to produce biofuel, food, and feed. Other parts of the plant are left on the ground after harvest. The accumulation of such by-products on the soil can cause environmental problems. This work presents for the first time a comprehensive metabolite profiling of soy by-products collected directly from the ground just after mechanical harvesting. A two-liquid-phase extraction using n-heptane and EtOH-H2O 7:3 (v/v) provided extracts with complete characterization by gas chromatography and ultra-high-performance liquid chromatography both coupled to time-of-flight mass spectrometry. A total of 146 metabolites, including flavones, flavonols, isoflavonoids, fatty acids, steroids, mono-, sesqui-, di-, and triterpenoids, were tentatively identified in soy by-products and soybeans. These proved to be sources of a wide range of bioactive metabolites, thus suggesting that they could be valorized while reducing potential environmental damage in line with a circular economy model.
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Affiliation(s)
- Felipe Sanchez Bragagnolo
- Green Biotech Network, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu, São Paulo - 18610-034, Brazil
- Laboratory of Foodomics, Institute of Food Science Research (CIAL-CSIC), Madrid 28049, Spain
| | - Gerardo Álvarez-Rivera
- Laboratory of Foodomics, Institute of Food Science Research (CIAL-CSIC), Madrid 28049, Spain
| | | | - Elena Ibáñez
- Laboratory of Foodomics, Institute of Food Science Research (CIAL-CSIC), Madrid 28049, Spain
| | - Alejandro Cifuentes
- Laboratory of Foodomics, Institute of Food Science Research (CIAL-CSIC), Madrid 28049, Spain
| | - Cristiano Soleo Funari
- Green Biotech Network, School of Agricultural Sciences, São Paulo State University (UNESP), Botucatu, São Paulo - 18610-034, Brazil
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Lin P, Wang K, Wang Y, Hu Z, Yan C, Huang H, Ma X, Cao Y, Long W, Liu W, Li X, Fan Z, Li J, Ye N, Ren H, Yao X, Yin H. The genome of oil-Camellia and population genomics analysis provide insights into seed oil domestication. Genome Biol 2022; 23:14. [PMID: 35012630 PMCID: PMC8744323 DOI: 10.1186/s13059-021-02599-2] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 12/31/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND As a perennial crop, oil-Camellia possesses a long domestication history and produces high-quality seed oil that is beneficial to human health. Camellia oleifera Abel. is a sister species to the tea plant, which is extensively cultivated for edible oil production. However, the molecular mechanism of the domestication of oil-Camellia is still limited due to the lack of sufficient genomic information. RESULTS To elucidate the genetic and genomic basis of evolution and domestication, here we report a chromosome-scale reference genome of wild oil-Camellia (2.95 Gb), together with transcriptome sequencing data of 221 cultivars. The oil-Camellia genome, assembled by an integrative approach of multiple sequencing technologies, consists of a large proportion of repetitive elements (76.1%) and high heterozygosity (2.52%). We construct a genetic map of high-density corrected markers by sequencing the controlled-pollination hybrids. Genome-wide association studies reveal a subset of artificially selected genes that are involved in the oil biosynthesis and phytohormone pathways. Particularly, we identify the elite alleles of genes encoding sugar-dependent triacylglycerol lipase 1, β-ketoacyl-acyl carrier protein synthase III, and stearoyl-acyl carrier protein desaturases; these alleles play important roles in enhancing the yield and quality of seed oil during oil-Camellia domestication. CONCLUSIONS We generate a chromosome-scale reference genome for oil-Camellia plants and demonstrate that the artificial selection of elite alleles of genes involved in oil biosynthesis contributes to oil-Camellia domestication.
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Affiliation(s)
- Ping Lin
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Kailiang Wang
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Yupeng Wang
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, 210037, China
| | - Zhikang Hu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Chao Yan
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Hu Huang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Xianjin Ma
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Yongqing Cao
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Wei Long
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Weixin Liu
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Xinlei Li
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Zhengqi Fan
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Jiyuan Li
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Ning Ye
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, 210037, China
| | - Huadong Ren
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China
| | - Xiaohua Yao
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China.
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China.
| | - Hengfu Yin
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China.
- Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Zhejiang, 311400, Hangzhou, China.
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15
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Dong Z, Tian Z, Liu B. Oil crops: From the classical traits to genetic improvement. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2021; 63:979-980. [PMID: 33963667 DOI: 10.1111/jipb.13106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Affiliation(s)
- Zhicheng Dong
- Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, The Chinese Academy of Sciences, Beijing 100101, China
| | - Baohui Liu
- Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
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