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Xiang X, Yang H, Yuan X, Dong X, Mai S, Zhang Q, Chen L, Cao D, Chen H, Guo W, Li L. CRISPR/Cas9-mediated editing of GmDWF1 brassinosteroid biosynthetic gene induces dwarfism in soybean. PLANT CELL REPORTS 2024; 43:116. [PMID: 38622229 DOI: 10.1007/s00299-024-03204-z] [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: 01/30/2024] [Accepted: 03/24/2024] [Indexed: 04/17/2024]
Abstract
KEY MESSAGE The study on the GmDWF1-deficient mutant dwf1 showed that GmDWF1 plays a crucial role in determining soybean plant height and yield by influencing the biosynthesis of brassinosteroids. Soybean has not adopted the Green Revolution, such as reduced height for increased planting density, which have proven beneficial for cereal crops. Our research identified the soybean genes GmDWF1a and GmDWF1b, homologous to Arabidopsis AtDWF1, and found that they are widely expressed, especially in leaves, and linked to the cellular transport system, predominantly within the endoplasmic reticulum and intracellular vesicles. These genes are essential for the synthesis of brassinosteroids (BR). Single mutants of GmDWF1a and GmDWF1b, as well as double mutants of both genes generated through CRISPR/Cas9 genome editing, exhibit a dwarf phenotype. The single-gene mutant exhibits moderate dwarfism, while the double mutant shows more pronounced dwarfism. Despite the reduced stature, all types of mutants preserve their node count. Notably, field tests have shown that the single GmDWF1a mutant produced significantly more pods than wild-type plants. Spraying exogenous brassinolide (BL) can compensate for the loss in plant height induced by the decrease in endogenous BRs. Comparing transcriptome analyses of the GmDWF1a mutant and wild-type plants revealed a significant impact on the expression of many genes that influence soybean growth. Identifying the GmDWF1a and GmDWF1b genes could aid in the development of compact, densely planted soybean varieties, potentially boosting productivity.
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Affiliation(s)
- Xumin Xiang
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-Rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, 430023, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Hongli Yang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xi Yuan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xue Dong
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Sihua Mai
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Qianqian Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Limiao Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Dong Cao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Haifeng Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Wei Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
| | - Li Li
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-Rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
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2
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Rehman S, Bahadur S, Xia W. An overview of floral regulatory genes in annual and perennial plants. Gene 2023; 885:147699. [PMID: 37567454 DOI: 10.1016/j.gene.2023.147699] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/31/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
The floral initiation in angiosperms is a complex process influenced by endogenous and exogenous signals. With this approach, we aim to provide a comprehensive review to integrate this complex floral regulatory process and summarize the regulatory genes and their functions in annuals and perennials. Seven primary paths leading to flowering have been discovered in Arabidopsis under several growth condition that include; photoperiod, ambient temperature, vernalization, gibberellins, autonomous, aging and carbohydrates. These pathways involve a series of interlinked signaling pathways that respond to both internal and external signals, such as light, temperature, hormones, and developmental cues, to coordinate the expression of genes that are involved in flower development. Among them, the photoperiodic pathway was the most important and conserved as some of the fundamental loci and mechanisms are shared even by closely related plant species. The activation of floral regulatory genes such as FLC, FT, LFY, and SOC1 that determine floral meristem identity and the transition to the flowering stage result from the merging of these pathways. Recent studies confirmed that alternative splicing, antisense RNA and epigenetic modification play crucial roles by regulating the expression of genes related to blooming. In this review, we documented recent progress in the floral transition time in annuals and perennials, with emphasis on the specific regulatory mechanisms along with the application of various molecular approaches including overexpression studies, RNA interference and Virus-induced flowering. Furthermore, the similarities and differences between annual and perennial flowering will aid significant contributions to the field by elucidating the mechanisms of perennial plant development and floral initiation regulation.
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Affiliation(s)
- Shazia Rehman
- Sanya Nanfan Research Institution, Hainan University, Haikou 572025, China; College of Tropical Crops, Hainan University, Haikou 570228, China
| | - Saraj Bahadur
- College of Forestry, Hainan University, Haikou 570228 China
| | - Wei Xia
- Sanya Nanfan Research Institution, Hainan University, Haikou 572025, China; College of Tropical Crops, Hainan University, Haikou 570228, China.
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3
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Wu T, Lu S, Cai Y, Xu X, Zhang L, Chen F, Jiang B, Zhang H, Sun S, Zhai H, Zhao L, Xia Z, Hou W, Kong F, Han T. Molecular breeding for improvement of photothermal adaptability in soybean. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:60. [PMID: 37496825 PMCID: PMC10366068 DOI: 10.1007/s11032-023-01406-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 07/08/2023] [Indexed: 07/28/2023]
Abstract
Soybean (Glycine max (L.) Merr.) is a typical short-day and temperate crop that is sensitive to photoperiod and temperature. Responses of soybean to photothermal conditions determine plant growth and development, which affect its architecture, yield formation, and capacity for geographic adaptation. Flowering time, maturity, and other traits associated with photothermal adaptability are controlled by multiple major-effect and minor-effect genes and genotype-by-environment interactions. Genetic studies have identified at least 11 loci (E1-E4, E6-E11, and J) that participate in photoperiodic regulation of flowering time and maturity in soybean. Molecular cloning and characterization of major-effect flowering genes have clarified the photoperiod-dependent flowering pathway, in which the photoreceptor gene phytochrome A, circadian evening complex (EC) components, central flowering repressor E1, and FLOWERING LOCUS T family genes play key roles in regulation of flowering time, maturity, and adaptability to photothermal conditions. Here, we provide an overview of recent progress in genetic and molecular analysis of traits associated with photothermal adaptability, summarizing advances in molecular breeding practices and tools for improving these traits. Furthermore, we discuss methods for breeding soybean varieties with better adaptability to specific ecological regions, with emphasis on a novel strategy, the Potalaization model, which allows breeding of widely adapted soybean varieties through the use of multiple molecular tools in existing elite widely adapted varieties. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01406-z.
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Affiliation(s)
- Tingting Wu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Sijia Lu
- 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
| | - Yupeng Cai
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Xin Xu
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Lixin Zhang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Fulu Chen
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Bingjun Jiang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Honglei Zhang
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Shi Sun
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
| | - Hong Zhai
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, 150081 China
| | - Lin Zhao
- Key Laboratory of Soybean Biology of Ministry of Education of China, Northeast Agricultural University, Harbin, 150030 China
| | - Zhengjun Xia
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, 150081 China
| | - Wensheng Hou
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 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
| | - Tianfu Han
- MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081 China
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4
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Ding X, Guo J, Lv M, Wang H, Sheng Y, Liu Y, Gai J, Yang S. The miR156b-GmSPL2b module mediates male fertility regulation of cytoplasmic male sterility-based restorer line under high-temperature stress in soybean. PLANT BIOTECHNOLOGY JOURNAL 2023. [PMID: 37057908 PMCID: PMC10363761 DOI: 10.1111/pbi.14056] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 02/17/2023] [Accepted: 04/01/2023] [Indexed: 06/19/2023]
Abstract
High-temperature (HT) stress at flowering stage causes significant damage to soybean, including pollen abortion and fertilization failure, but few genes involved in male fertility regulation under HT stress in soybean have been characterized. Here, we demonstrated that miR156b-GmSPL2b module involved in male fertility regulation of soybean cytoplasmic male sterility (CMS)-based restorer line under HT stress. Overexpression of miR156b decreased male fertility in soybean CMS-based restorer line and its hybrid F1 with CMS line under HT stress. RNA-seq analysis found that miR156b mediated male fertility regulation in soybean under HT stress by regulating the expression of pollen development and HT response related genes. Metabolomic analysis of miR156bOE revealed reduction in flavonoid content under HT stress. Integrated transcriptomic and metabolomic analysis showed that the overexpression of miR156b caused flavonoid metabolism disorder in soybean flower bud under HT stress. Knockout of GmSPL2b also decreased the thermotolerance of soybean CMS-based restorer line during flowering. Moreover, GmSPL2b turned out to be directly bounded to the promoter of GmHSFA6b. Further verification indicated that GmHSFA6b overexpression enhanced HT tolerance in Arabidopsis during flowering. Substance content and gene expression analysis revealed that miR156b-GmSPL2b may mediate reactive oxygen species clearance by regulating flavonoid metabolism, thus participating in the regulation of male fertility in soybean under HT stress. This study not only provided important progress for understanding the molecular mechanism of miR156b-GmSPL2b regulating the male fertility of soybean CMS-based restorer line under HT stress, but also provided genetic resources and theoretical basis for creating HT-tolerant strong restorer lines.
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Affiliation(s)
- Xianlong Ding
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Jinfeng Guo
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Menglin Lv
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Hongjie Wang
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Ying Sheng
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Ying Liu
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Junyi Gai
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Shouping Yang
- Soybean Research Institute, National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture and Rural Affairs of the People's Republic of China), MOE National Innovation Platform for Soybean Bio-breeding Industry and Education Integration, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, China
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5
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Yun J, Wang C, Zhang F, Chen L, Sun Z, Cai Y, Luo Y, Liao J, Wang Y, Cha Y, Zhang X, Ren Y, Wu J, Hasegawa PM, Tian C, Su H, Ferguson BJ, Gresshoff PM, Hou W, Han T, Li X. A nitrogen fixing symbiosis-specific pathway required for legume flowering. SCIENCE ADVANCES 2023; 9:eade1150. [PMID: 36638166 PMCID: PMC9839322 DOI: 10.1126/sciadv.ade1150] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 12/09/2022] [Indexed: 05/26/2023]
Abstract
Symbiotic nitrogen fixation boosts legume growth and production in nitrogen-poor soils. It has long been assumed that fixed nitrogen increases reproductive success, but until now, the regulatory mechanism was unknown. Here, we report a symbiotic flowering pathway that couples symbiotic and nutrient signals to the flowering induction pathway in legumes. We show that the symbiotic microRNA-microRNA172c (miR172c) and fixed nitrogen systemically and synergistically convey symbiotic and nutritional cues from roots to leaves to promote soybean (Glycine max) flowering. The combinations of symbiotic miR172c and local miR172c elicited by fixed nitrogen and development in leaves activate florigen-encoding FLOWERING LOCUS T (FT) homologs (GmFT2a/5a) by repressing TARGET OF EAT1-like 4a (GmTOE4a). Thus, FTs trigger reproductive development, which allows legumes to survive and reproduce under low-nitrogen conditions.
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Affiliation(s)
- Jinxia Yun
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Can Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Fengrong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Li Chen
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhengxi Sun
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yupeng Cai
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuanqing Luo
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Junwen Liao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yongliang Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yanyan Cha
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xuehai Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Ya Ren
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Jun Wu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Paul M. Hasegawa
- Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN 47907, USA
| | - Changfu Tian
- State Key Laboratory of Agrobiotechnology, Key Laboratory of Soil Microbiology, and Rhizobium Research Center, and College of Biological Sciences, China Agricultural University, Beijing, China
| | - Huanan Su
- School of Agriculture and Food Sciences, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia
| | - Brett J. Ferguson
- School of Agriculture and Food Sciences, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia
| | - Peter M. Gresshoff
- School of Agriculture and Food Sciences, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia
| | - Wensheng Hou
- National Center for Transgenic Research in Plants, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tianfu Han
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xia Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong, China
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6
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Han X, Zhang YW, Liu JY, Zuo JF, Zhang ZC, Guo L, Zhang YM. 4D genetic networks reveal the genetic basis of metabolites and seed oil-related traits in 398 soybean RILs. BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS 2022; 15:92. [PMID: 36076247 PMCID: PMC9461130 DOI: 10.1186/s13068-022-02191-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/27/2022] [Indexed: 11/10/2022]
Abstract
Background The yield and quality of soybean oil are determined by seed oil-related traits, and metabolites/lipids act as bridges between genes and traits. Although there are many studies on the mode of inheritance of metabolites or traits, studies on multi-dimensional genetic network (MDGN) are limited. Results In this study, six seed oil-related traits, 59 metabolites, and 107 lipids in 398 recombinant inbred lines, along with their candidate genes and miRNAs, were used to construct an MDGN in soybean. Around 175 quantitative trait loci (QTLs), 36 QTL-by-environment interactions, and 302 metabolic QTL clusters, 70 and 181 candidate genes, including 46 and 70 known homologs, were previously reported to be associated with the traits and metabolites, respectively. Gene regulatory networks were constructed using co-expression, protein–protein interaction, and transcription factor binding site and miRNA target predictions between candidate genes and 26 key miRNAs. Using modern statistical methods, 463 metabolite–lipid, 62 trait–metabolite, and 89 trait–lipid associations were found to be significant. Integrating these associations into the above networks, an MDGN was constructed, and 128 sub-networks were extracted. Among these sub-networks, the gene–trait or gene–metabolite relationships in 38 sub-networks were in agreement with previous studies, e.g., oleic acid (trait)–GmSEI–GmDGAT1a–triacylglycerol (16:0/18:2/18:3), gene and metabolite in each of 64 sub-networks were predicted to be in the same pathway, e.g., oleic acid (trait)–GmPHS–d-glucose, and others were new, e.g., triacylglycerol (16:0/18:1/18:2)–GmbZIP123–GmHD-ZIPIII-10–miR166s–oil content. Conclusions This study showed the advantages of MGDN in dissecting the genetic relationships between complex traits and metabolites. Using sub-networks in MGDN, 3D genetic sub-networks including pyruvate/threonine/citric acid revealed genetic relationships between carbohydrates, oil, and protein content, and 4D genetic sub-networks including PLDs revealed the relationships between oil-related traits and phospholipid metabolism likely influenced by the environment. This study will be helpful in soybean quality improvement and molecular biological research. Supplementary Information The online version contains supplementary material available at 10.1186/s13068-022-02191-1.
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7
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Li X, Hu D, Cai L, Wang H, Liu X, Du H, Yang Z, Zhang H, Hu Z, Huang F, Kan G, Kong F, Liu B, Yu D, Wang H. CALCIUM-DEPENDENT PROTEIN KINASE38 regulates flowering time and common cutworm resistance in soybean. PLANT PHYSIOLOGY 2022; 190:480-499. [PMID: 35640995 PMCID: PMC9434205 DOI: 10.1093/plphys/kiac260] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/03/2022] [Indexed: 06/02/2023]
Abstract
Photoperiod-sensitive plants such as soybean (Glycine max) often face threats from herbivorous insects throughout their whole growth period and especially during flowering; however, little is known about the relationship between plant flowering and insect resistance. Here, we used gene editing, multiple omics, genetic diversity and evolutionary analyses to confirm that the calcium-dependent protein kinase GmCDPK38 plays a dual role in coordinating flowering time regulation and insect resistance of soybean. Haplotype 2 (Hap2)-containing soybeans flowered later and were more resistant to the common cutworm (Spodoptera litura Fabricius) than those of Hap3. gmcdpk38 mutants with Hap3 knocked out exhibited similar flowering and resistance phenotypes as Hap2. Knocking out GmCDPK38 altered numerous flowering- and resistance-related phosphorylated proteins, genes, and metabolites. For example, the S-adenosylmethionine synthase GmSAMS1 was post-translationally upregulated in the gmcdpk38 mutants. GmCDPK38 has abundant genetic diversity in wild soybeans and was likely selected during soybean domestication. We found that Hap2 was mostly distributed at low latitudes and had a higher frequency in cultivars than in wild soybeans, while Hap3 was widely selected at high latitudes. Overall, our results elucidated that the two distinct traits (flowering time and insect resistance) are mediated by GmCDPK38.
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Affiliation(s)
- Xiao Li
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Dezhou Hu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Linyan Cai
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Huiqi Wang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Xinyu Liu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Haiping Du
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Zhongyi Yang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Huairen Zhang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Zhenbin Hu
- Department of Biology, Saint Louis University, St. Louis, Missouri 63103, USA
| | - Fang Huang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Guizhen Kan
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Fanjiang Kong
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Deyue Yu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
| | - Hui Wang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China
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Lu S, Fang C, Abe J, Kong F, Liu B. Current overview on the genetic basis of key genes involved in soybean domestication. ABIOTECH 2022; 3:126-139. [PMID: 36312442 PMCID: PMC9590488 DOI: 10.1007/s42994-022-00074-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 06/11/2022] [Indexed: 11/28/2022]
Abstract
Modern crops were created through the domestication and genetic introgression of wild relatives and adaptive differentiation in new environments. Identifying the domestication-related genes and unveiling their molecular diversity provide clues for understanding how the domesticated variants were selected by ancient people, elucidating how and where these crops were domesticated. Molecular genetics and genomics have explored some domestication-related genes in soybean (Glycine max). Here, we summarize recent studies about the quantitative trait locus (QTL) and genes involved in the domestication traits, introduce the functions of these genes, clarify which alleles of domesticated genes were selected during domestication. A deeper understanding of soybean domestication could help to break the bottleneck of modern breeding by highlighting unused genetic diversity not selected in the original domestication process, as well as highlighting promising new avenues for the identification and research of important agronomic traits among different crop species.
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Affiliation(s)
- Sijia Lu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
| | - Chao Fang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
| | - Jun Abe
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-0808 Japan
| | - Fanjiang Kong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
| | - Baohui Liu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006 China
- Guangzhou Key Laboratory of Crop Gene Editing, Guangzhou University, Guangzhou, 510006 China
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9
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Ku YS, Cheung MY, Cheng SS, Nadeem MA, Chung G, Lam HM. Using the Knowledge of Post-transcriptional Regulations to Guide Gene Selections for Molecular Breeding in Soybean. FRONTIERS IN PLANT SCIENCE 2022; 13:867731. [PMID: 35432392 PMCID: PMC9009170 DOI: 10.3389/fpls.2022.867731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/07/2022] [Indexed: 06/14/2023]
Abstract
The omics approaches allow the scientific community to successfully identify genomic regions associated with traits of interest for marker-assisted breeding. Agronomic traits such as seed color, yield, growth habit, and stress tolerance have been the targets for soybean molecular breeding. Genes governing these traits often undergo post-transcriptional modifications, which should be taken into consideration when choosing elite genes for molecular breeding. Post-transcriptional regulations of genes include transcript regulations, protein modifications, and even the regulation of the translational machinery. Transcript regulations involve elements such as microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) for the maintenance of transcript stability or regulation of translation efficiency. Protein modifications involve molecular modifications of target proteins and the alterations of their interacting partners. Regulations of the translational machinery include those on translation factors and the ribosomal protein complex. Post-transcriptional regulations usually involve a set of genes instead of a single gene. Such a property may facilitate molecular breeding. In this review, we will discuss the post-transcriptional modifications of genes related to favorable agronomic traits such as stress tolerance, growth, and nutrient uptake, using examples from soybean as well as other crops. The examples from other crops may guide the selection of genes for marker-assisted breeding in soybean.
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Affiliation(s)
- Yee-Shan Ku
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ming-Yan Cheung
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Sau-Shan Cheng
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Muhammad Azhar Nadeem
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Gyuhwa Chung
- Department of Biotechnology, Chonnam National University, Yeosu, South Korea
| | - Hon-Ming Lam
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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10
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Dong L, Cheng Q, Fang C, Kong L, Yang H, Hou Z, Li Y, Nan H, Zhang Y, Chen Q, Zhang C, Kou K, Su T, Wang L, Li S, Li H, Lin X, Tang Y, Zhao X, Lu S, Liu B, Kong F. Parallel selection of distinct Tof5 alleles drove the adaptation of cultivated and wild soybean to high latitudes. MOLECULAR PLANT 2022; 15:308-321. [PMID: 34673232 DOI: 10.1016/j.molp.2021.10.004] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 09/27/2021] [Accepted: 10/16/2021] [Indexed: 06/13/2023]
Abstract
Photoperiod responsiveness is a key factor limiting the geographic distribution of cultivated soybean and its wild ancestor. In particular, the genetic basis of the adaptation in wild soybean remains poorly understood. In this study, by combining whole-genome resequencing and genome-wide association studies we identified a novel locus, Time of Flowering 5 (Tof5), which promotes flowering and enhances adaptation to high latitudes in both wild and cultivated soybean. By genomic, genetic and transgenic analyses we showed that Tof5 encodes a homolog of Arabidopsis thaliana FRUITFULL (FUL). Importantly, further analyses suggested that different alleles of Tof5 have undergone parallel selection. The Tof5H1 allele was strongly selected by humans after the early domestication of cultivated soybean, while Tof5H2 allele was naturally selected in wild soybean, and in each case facilitating adaptation to high latitudes. Moreover, we found that the key flowering repressor E1 suppresses the transcription of Tof5 by binding to its promoter. In turn, Tof5 physically associates with the promoters of two important FLOWERING LOCUS T (FT), FT2a and FT5a, to upregulate their transcription and promote flowering under long photoperiods. Collectively, our findings provide insights into how wild soybean adapted to high latitudes through natural selection and indicate that cultivated soybean underwent changes in the same gene but evolved a distinct allele that was artificially selected after domestication.
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Affiliation(s)
- Lidong Dong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China.
| | - Qun Cheng
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Chao Fang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Lingping Kong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Hui Yang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Zhihong Hou
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China; College of Agriculture, Heilongjiang Bayi Agricultural University, Daqing 163000, China
| | - Yongli Li
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Haiyang Nan
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Yuhang Zhang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Qingshan Chen
- Department of Agriculture, Northeast Agricultural University, Harbin 150000, China
| | - Chunbao Zhang
- Soybean Research Institute, National Engineering Research Center for Soybean, Jilin Academy of Agricultural Sciences, Changchun 130033, China
| | - Kun Kou
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Tong Su
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Lingshuang Wang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Shichen Li
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Haiyang Li
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China; National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaoya Lin
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Yang Tang
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Xiaohui Zhao
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Sijia Lu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China.
| | - Baohui Liu
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China; The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China.
| | - Fanjiang Kong
- Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China; The Innovative Academy of Seed Design, Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China.
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11
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Zhang M, Liu S, Wang Z, Yuan Y, Zhang Z, Liang Q, Yang X, Duan Z, Liu Y, Kong F, Liu B, Ren B, Tian Z. Progress in soybean functional genomics over the past decade. PLANT BIOTECHNOLOGY JOURNAL 2022; 20:256-282. [PMID: 34388296 PMCID: PMC8753368 DOI: 10.1111/pbi.13682] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 08/04/2021] [Accepted: 08/09/2021] [Indexed: 05/24/2023]
Abstract
Soybean is one of the most important oilseed and fodder crops. Benefiting from the efforts of soybean breeders and the development of breeding technology, large number of germplasm has been generated over the last 100 years. Nevertheless, soybean breeding needs to be accelerated to meet the needs of a growing world population, to promote sustainable agriculture and to address future environmental changes. The acceleration is highly reliant on the discoveries in gene functional studies. The release of the reference soybean genome in 2010 has significantly facilitated the advance in soybean functional genomics. Here, we review the research progress in soybean omics (genomics, transcriptomics, epigenomics and proteomics), germplasm development (germplasm resources and databases), gene discovery (genes that are responsible for important soybean traits including yield, flowering and maturity, seed quality, stress resistance, nodulation and domestication) and transformation technology during the past decade. At the end, we also briefly discuss current challenges and future directions.
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Affiliation(s)
- Min Zhang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
| | - Shulin Liu
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
| | - Zhao Wang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yaqin Yuan
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Zhifang Zhang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Qianjin Liang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xia Yang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Zongbiao Duan
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yucheng Liu
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
| | - Fanjiang Kong
- Innovative Center of Molecular Genetics and EvolutionSchool of Life SciencesGuangzhou UniversityGuangzhouChina
| | - Baohui Liu
- Innovative Center of Molecular Genetics and EvolutionSchool of Life SciencesGuangzhou UniversityGuangzhouChina
| | - Bo Ren
- State Key Laboratory of Plant GenomicsInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Zhixi Tian
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetics and Developmental BiologyInnovative Academy for Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
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12
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Li C, Nong W, Zhao S, Lin X, Xie Y, Cheung MY, Xiao Z, Wong AYP, Chan TF, Hui JHL, Lam HM. Differential microRNA expression, microRNA arm switching, and microRNA:long noncoding RNA interaction in response to salinity stress in soybean. BMC Genomics 2022; 23:65. [PMID: 35057741 PMCID: PMC8780314 DOI: 10.1186/s12864-022-08308-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 01/10/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Soybean is a major legume crop with high nutritional and environmental values suitable for sustainable agriculture. Noncoding RNAs (ncRNAs), including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), are important regulators of gene functions in eukaryotes. However, the interactions between these two types of ncRNAs in the context of plant physiology, especially in response to salinity stress, are poorly understood. RESULTS Here, we challenged a cultivated soybean accession (C08) and a wild one (W05) with salt treatment and obtained their small RNA transcriptomes at six time points from both root and leaf tissues. In addition to thoroughly analyzing the differentially expressed miRNAs, we also documented the first case of miRNA arm-switching (miR166m), the swapping of dominant miRNA arm expression, in soybean in different tissues. Two arms of miR166m target different genes related to salinity stress (chloroplastic beta-amylase 1 targeted by miR166m-5p and calcium-dependent protein kinase 1 targeted by miR166m-3p), suggesting arm-switching of miR166m play roles in soybean in response to salinity stress. Furthermore, two pairs of miRNA:lncRNA interacting partners (miR166i-5p and lncRNA Gmax_MSTRG.35921.1; and miR394a-3p and lncRNA Gmax_MSTRG.18616.1) were also discovered in reaction to salinity stress. CONCLUSIONS This study demonstrates how ncRNA involves in salinity stress responses in soybean by miRNA arm switching and miRNA:lncRNA interactions. The behaviors of ncRNAs revealed in this study will shed new light on molecular regulatory mechanisms of stress responses in plants, and hence provide potential new strategies for crop improvement.
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Affiliation(s)
- Chade Li
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
- Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
| | - Wenyan Nong
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
- Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
| | - Shancen Zhao
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
- BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, 518120, P.R. China
| | - Xiao Lin
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
| | - Yichun Xie
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
- Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
| | - Ming-Yan Cheung
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
| | - Zhixia Xiao
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
| | - Annette Y P Wong
- Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China
| | - Ting Fung Chan
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China.
| | - Jerome H L Hui
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China.
- Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China.
| | - Hon-Ming Lam
- Center for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, P.R. China.
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13
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Luo X, Yin M, He Y. Molecular Genetic Understanding of Photoperiodic Regulation of Flowering Time in Arabidopsis and Soybean. Int J Mol Sci 2021; 23:466. [PMID: 35008892 PMCID: PMC8745532 DOI: 10.3390/ijms23010466] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/25/2021] [Accepted: 12/29/2021] [Indexed: 12/15/2022] Open
Abstract
The developmental switch from a vegetative phase to reproduction (flowering) is essential for reproduction success in flowering plants, and the timing of the floral transition is regulated by various environmental factors, among which seasonal day-length changes play a critical role to induce flowering at a season favorable for seed production. The photoperiod pathways are well known to regulate flowering time in diverse plants. Here, we summarize recent progresses on molecular mechanisms underlying the photoperiod control of flowering in the long-day plant Arabidopsis as well as the short-day plant soybean; furthermore, the conservation and diversification of photoperiodic regulation of flowering in these two species are discussed.
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Affiliation(s)
- Xiao Luo
- Peking University Institute of Advanced Agricultural Sciences, Weifang 261325, China
| | - Mengnan Yin
- Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Shanghai 201602, China;
| | - Yuehui He
- Peking University Institute of Advanced Agricultural Sciences, Weifang 261325, China
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agriculture Sciences, Peking University, Beijing 100871, China
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14
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He Y, Long L, Yan W, Dong L, Xia W, Li C, Li F. Establishment and Application of Ligation Reaction-Based Method for Quantifying MicroR-156b. FRONTIERS IN PLANT SCIENCE 2021; 12:794752. [PMID: 34970292 PMCID: PMC8713971 DOI: 10.3389/fpls.2021.794752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 11/25/2021] [Indexed: 06/14/2023]
Abstract
Microribonucleic acids (miRNAs) play significant roles in the regulation of biological processes and in responses to biotic or abiotic environmental stresses. Therefore, it is necessary to quantitatively detect miRNAs to understand these complicated biological regulation mechanisms. This study established an ultrasensitive and highly specific method for the quantitative detection of miRNAs using simple operations on the ground of the ligation reaction of ribonucleotide-modified deoxyribonucleic acid (DNA) probes. This method avoids the complex design of conventional reverse transcription. In the developed assay, the target miRNA miR156b was able to directly hybridize the two ribonucleotide-modified DNA probes, and amplification with universal primers was achieved following the ligation reaction. As a result, the target miRNA could be sensitively measured even at a detection limit as low as 0.0001 amol, and differences of only a single base could be detected between miR156 family members. Moreover, the proposed quantitative method demonstrated satisfactory results for overexpression-based genetically modified (GM) soybean. Ligation-based quantitative polymerase chain reaction (PCR) therefore has potential in investigating the biological functions of miRNAs, as well as in supervising activities regarding GM products or organisms.
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15
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Jerome Jeyakumar JM, Ali A, Wang WM, Thiruvengadam M. Characterizing the Role of the miR156-SPL Network in Plant Development and Stress Response. PLANTS 2020; 9:plants9091206. [PMID: 32942558 PMCID: PMC7570127 DOI: 10.3390/plants9091206] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 08/27/2020] [Accepted: 09/11/2020] [Indexed: 01/22/2023]
Abstract
MicroRNA (miRNA) is a short, single-stranded, non-coding RNA found in eukaryotic cells that can regulate the expression of many genes at the post-transcriptional level. Among various plant miRNAs with diverse functions, miR156 plays a key role in biological processes, including developmental regulation, immune response, metabolic regulation, and abiotic stress. MiRNAs have become the regulatory center for plant growth and development. MicroRNA156 (miR156) is a highly conserved and emerging tool for the improvement of plant traits, including crop productivity and stress tolerance. Fine-tuning of squamosa promoter biding-like (SPL) gene expression might be a useful strategy for crop improvement. Here, we studied the regulation of the miR156 module and its interaction with SPL factors to understand the developmental transition of various plant species. Furthermore, this review provides a strong background for plant biotechnology and is an important source of information for further molecular breeding to optimize farming productivity.
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Affiliation(s)
- John Martin Jerome Jeyakumar
- Rice Research Institute and Key Lab for Major Crop Diseases, Sichuan Agricultural University, Wenjiang, Chengdu 625014, China; (J.M.J.J.); (A.A.)
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Institute of Rice Research, Sichuan Agricultural University, Wenjiang, Chengdu 625014, China
| | - Asif Ali
- Rice Research Institute and Key Lab for Major Crop Diseases, Sichuan Agricultural University, Wenjiang, Chengdu 625014, China; (J.M.J.J.); (A.A.)
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Institute of Rice Research, Sichuan Agricultural University, Wenjiang, Chengdu 625014, China
| | - Wen-Ming Wang
- Rice Research Institute and Key Lab for Major Crop Diseases, Sichuan Agricultural University, Wenjiang, Chengdu 625014, China; (J.M.J.J.); (A.A.)
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Institute of Rice Research, Sichuan Agricultural University, Wenjiang, Chengdu 625014, China
- Correspondence:
| | - Muthu Thiruvengadam
- Department of Applied Bioscience, College of Life and Environmental Sciences, Konkuk University, Seoul 05029, Korea;
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16
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Zheng Q, Chen Y, Jia X, Wang Y, Wu T, Xu X, Han Z, Zhang Z, Zhang X. MicroRNA156 (miR156) Negatively Impacts Mg-Protoporphyrin IX (Mg-Proto IX) Biosynthesis and Its Plastid-Nucleus Retrograde Signaling in Apple. PLANTS (BASEL, SWITZERLAND) 2020; 9:plants9050653. [PMID: 32455854 PMCID: PMC7285031 DOI: 10.3390/plants9050653] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 05/16/2020] [Accepted: 05/18/2020] [Indexed: 05/07/2023]
Abstract
Plastid-nucleus retrograde signaling (PNRS) play essential roles in regulating nuclear gene expression during plant growth and development. Excessive reactive oxygen species can trigger PNRS. We previously reported that in apple (Malus domestica Borkh.) seedlings, the expression of microRNA156 (miR156) was significantly low in the adult phase, which was accompanied by high levels of hydrogen peroxide (H2O2) accumulation in chloroplasts. However, it was unclear whether adult-phase-specific chloroplast H2O2 may induce PNRS and affect miR156 expression, or miR156 triggers adult phase PNRS during the ontogenesis. In this paper, we examined the relationship between miR156 levels and six PNRS components in juvenile and adult phase leaves from 'Zisai Pearl'×'Red Fuji' hybrids. We found that PNRS generated by singlet oxygen (1O2), the photosynthetic redox state, methylerythritol cyclodiphosphate (MEcPP), SAL1-3-phosphoadenosine 5-phosphate (PAP) and WHIRLY1 were not involved. The accumulation of Mg-protoporphyrin IX (Mg-Proto IX), the expression of the synthetic genes MdGUN5 and MdGUN6, and Mg-Proto IX PNRS related nuclear genes increased with ontogenesis. These changes were negatively correlated with miR156 expression. Manipulating Mg-Proto IX synthesis with 5-aminolevulinic acid (ALA) or gabaculine did not affect miR156 expression in vitro shoots. In contrast, modulating miR156 expression via MdGGT1 or MdMIR156a6 transgenesis led to changes in Mg-Proto IX contents and the corresponding gene expressions. It was concluded that the Mg-Proto IX PNRS was regulated downstream of miR156 regardless of adult-phase-specific plastid H2O2 accumulation. The findings may facilitate the understanding of the mechanism of ontogenesis in higher plants.
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Affiliation(s)
- Qingbo Zheng
- College of Horticulture, China Agricultural University, Beijing 100193, China; (Q.Z.); (Y.C.); (Y.W.); (T.W.); (X.X.); (Z.H.)
| | - Yakun Chen
- College of Horticulture, China Agricultural University, Beijing 100193, China; (Q.Z.); (Y.C.); (Y.W.); (T.W.); (X.X.); (Z.H.)
| | - Xiaolin Jia
- Plant Genomics and Molecular Breeding, Henan Agricultural University, Zhengzhou 450002, China;
| | - Yi Wang
- College of Horticulture, China Agricultural University, Beijing 100193, China; (Q.Z.); (Y.C.); (Y.W.); (T.W.); (X.X.); (Z.H.)
| | - Ting Wu
- College of Horticulture, China Agricultural University, Beijing 100193, China; (Q.Z.); (Y.C.); (Y.W.); (T.W.); (X.X.); (Z.H.)
| | - Xuefeng Xu
- College of Horticulture, China Agricultural University, Beijing 100193, China; (Q.Z.); (Y.C.); (Y.W.); (T.W.); (X.X.); (Z.H.)
| | - Zhenhai Han
- College of Horticulture, China Agricultural University, Beijing 100193, China; (Q.Z.); (Y.C.); (Y.W.); (T.W.); (X.X.); (Z.H.)
| | - Zhihong Zhang
- Horticulture College, Shenyang Agricultural University, Shenyang 110161, China
- Correspondence: (Z.Z.); (X.Z.)
| | - Xinzhong Zhang
- College of Horticulture, China Agricultural University, Beijing 100193, China; (Q.Z.); (Y.C.); (Y.W.); (T.W.); (X.X.); (Z.H.)
- Correspondence: (Z.Z.); (X.Z.)
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17
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Cai Y, Wang L, Chen L, Wu T, Liu L, Sun S, Wu C, Yao W, Jiang B, Yuan S, Han T, Hou W. Mutagenesis of GmFT2a and GmFT5a mediated by CRISPR/Cas9 contributes for expanding the regional adaptability of soybean. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:298-309. [PMID: 31240772 PMCID: PMC6920152 DOI: 10.1111/pbi.13199] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 06/11/2019] [Accepted: 06/16/2019] [Indexed: 05/03/2023]
Abstract
Flowering time is a key agronomic trait that directly influences the successful adaptation of soybean (Glycine max) to diverse latitudes and farming systems. GmFT2a and GmFT5a have been extensively identified as flowering activators and integrators in soybean. Here, we identified two quantitative trait loci (QTLs) regions harbouring GmFT2a and GmFT5a, respectively, associated with different genetic effects on flowering under different photoperiods. We analysed the flowering time of transgenic plants overexpressing GmFT2a or GmFT5a, ft2a mutants, ft5a mutants and ft2aft5a double mutants under long-day (LD) and short-day (SD) conditions. We confirmed that GmFT2a and GmFT5a are not redundant, they collectively regulate flowering time, and the effect of GmFT2a is more prominent than that of GmFT5a under SD conditions whereas GmFT5a has more significant effects than GmFT2a under LD conditions. GmFT5a, not GmFT2a, was essential for soybean to adapt to high latitude regions. The ft2aft5a double mutants showed late flowering by about 31.3 days under SD conditions and produced significantly increased numbers of pods and seeds per plant compared to the wild type. We speculate that these mutants may have enormous yield potential for the tropics. In addition, we examined the sequences of these two loci in 202 soybean accessions and investigated the flowering phenotypes, geographical distributions and maturity groups within major haplotypes. These results will contribute to soybean breeding and regional adaptability.
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Affiliation(s)
- Yupeng Cai
- National Center for Transgenic Research in PlantsInstitute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Liwei Wang
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Li Chen
- National Center for Transgenic Research in PlantsInstitute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Tingting Wu
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Luping Liu
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Shi Sun
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Cunxiang Wu
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Weiwei Yao
- National Center for Transgenic Research in PlantsInstitute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Bingjun Jiang
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Shan Yuan
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Tianfu Han
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Wensheng Hou
- National Center for Transgenic Research in PlantsInstitute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
- Ministry of Agriculture Key Laboratory of Soybean Biology (Beijing)Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
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18
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Wang R, Yang Z, Fei Y, Feng J, Zhu H, Huang F, Zhang H, Huang J. Construction and analysis of degradome-dependent microRNA regulatory networks in soybean. BMC Genomics 2019; 20:534. [PMID: 31253085 PMCID: PMC6599275 DOI: 10.1186/s12864-019-5879-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 06/04/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Usually the microRNA (miRNA)-mediated gene regulatory network (GRN) is constructed from the investigation of miRNA expression profiling and target predictions. However, the higher/lower expression level of miRNAs does not always indicate the higher/lower level of cleavages and such analysis, thus, sometimes ignores the crucial cleavage events. In the present work, the degradome sequencing data were employed to construct the complete miRNA-mediated gene regulatory network in soybean, unlike the traditional approach starting with small RNA sequencing data. RESULTS We constructed the root-, cotyledon-, leaf- and seed-specific miRNA regulatory networks with the degradome sequencing data and the forthcoming verification of miRNA profiling analysis. As a result, we identified 205 conserved miRNA-target interactions (MTIs) involved with 6 conserved gma-miRNA families and 365 tissue-specific MTIs containing 24 root-specific, 45 leaf-specific, 63 cotyledon-specific and 225 seed-specific MTIs. We found a total of 156 miRNAs in tissue-specific MTIs including 18 tissue-specific miRNAs, however, only 3 miRNAs have consistent tissue-specific expression. Our study showed the degradome-dependent miRNA regulatory networks (DDNs) in four soybean tissues and explored their conservations and specificities. CONCLUSIONS The construction of DDNs may provide the complete miRNA-Target interactions in certain plant tissues, leading to the identification of the conserved and tissue-specific MTIs and sub-networks. Our work provides a basis for further investigation of the roles and mechanisms of miRNA-mediated regulation of tissue-specific growth and development in soybean.
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Affiliation(s)
- Rui Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
| | - Zhongyi Yang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
| | - Yuhan Fei
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
| | - Jiejie Feng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
| | - Hui Zhu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
| | - Fang Huang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
| | - Hongsheng Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
| | - Ji Huang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095 China
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Bao A, Chen H, Chen L, Chen S, Hao Q, Guo W, Qiu D, Shan Z, Yang Z, Yuan S, Zhang C, Zhang X, Liu B, Kong F, Li X, Zhou X, Tran LSP, Cao D. CRISPR/Cas9-mediated targeted mutagenesis of GmSPL9 genes alters plant architecture in soybean. BMC PLANT BIOLOGY 2019; 19:131. [PMID: 30961525 PMCID: PMC6454688 DOI: 10.1186/s12870-019-1746-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Accepted: 03/28/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND The plant architecture has significant effects on grain yield of various crops, including soybean (Glycine max), but the knowledge on optimization of plant architecture in order to increase yield potential is still limited. Recently, CRISPR/Cas9 system has revolutionized genome editing, and has been widely utilized to edit the genomes of a diverse range of crop plants. RESULTS In the present study, we employed the CRISPR/Cas9 system to mutate four genes encoding SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) transcription factors of the SPL9 family in soybean. These four GmSPL9 genes are negatively regulated by GmmiR156b, a target for the improvement of soybean plant architecture and yields. The soybean Williams 82 was transformed with the binary CRISPR/Cas9 plasmid, assembled with four sgRNA expression cassettes driven by the Arabidopsis thaliana U3 or U6 promoter, targeting different sites of these four SPL9 genes via Agrobacterium tumefaciens-mediated transformation. A 1-bp deletion was detected in one target site of the GmSPL9a and one target site of the GmSPL9b, respectively, by DNA sequencing analysis of two T0-generation plants. T2-generation spl9a and spl9b homozygous single mutants exhibited no obvious phenotype changes; but the T2 double homozygous mutant spl9a/spl9b possessed shorter plastochron length. In T4 generation, higher-order mutant plants carrying various combinations of mutations showed increased node number on the main stem and branch number, consequently increased total node number per plants at different levels. In addition, the expression levels of the examined GmSPL9 genes were higher in the spl9b-1 single mutant than wild-type plants, which might suggest a feedback regulation on the expression of the investigated GmSPL9 genes in soybean. CONCLUSIONS Our results showed that CRISPR/Cas9-mediated targeted mutagenesis of four GmSPL9 genes in different combinations altered plant architecture in soybean. The findings demonstrated that GmSPL9a, GmSPL9b, GmSPL9c and GmSPL9 function as redundant transcription factors in regulating plant architecture in soybean.
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Affiliation(s)
- Aili Bao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Haifeng Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Limiao Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Shuilian Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Qingnan Hao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Wei Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Dezhen Qiu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Zhihui Shan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Zhonglu Yang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Songli Yuan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Chanjuan Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Xiaojuan Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Baohui Liu
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, 150081 China
| | - Fanjiang Kong
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, 150081 China
| | - Xia Li
- State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070 China
| | - Xinan Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
| | - Lam-Son Phan Tran
- Institute of Research and Development, Duy Tan University, 03 Quang Trung, Da Nang, Vietnam
- Stress Adaptation Research Unit, RIKEN Center for Sustainable Resource Science, 1-7-22, Suehiro-cho, Tsurumi, Yokohama, 230-0045 Japan
| | - Dong Cao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062 China
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin, 150081 China
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20
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Sun Z, Su C, Yun J, Jiang Q, Wang L, Wang Y, Cao D, Zhao F, Zhao Q, Zhang M, Zhou B, Zhang L, Kong F, Liu B, Tong Y, Li X. Genetic improvement of the shoot architecture and yield in soya bean plants via the manipulation of GmmiR156b. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:50-62. [PMID: 29729214 PMCID: PMC6330639 DOI: 10.1111/pbi.12946] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 04/10/2018] [Accepted: 04/28/2018] [Indexed: 05/20/2023]
Abstract
The optimization of plant architecture in order to breed high-yielding soya bean cultivars is a goal of researchers. Tall plants bearing many long branches are desired, but only modest success in reaching these goals has been achieved. MicroRNA156 (miR156)-SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) gene modules play pivotal roles in controlling shoot architecture and other traits in crops like rice and wheat. However, the effects of miR156-SPL modules on soya bean architecture and yield, and the molecular mechanisms underlying these effects, remain largely unknown. In this study, we achieved substantial improvements in soya bean architecture and yield by overexpressing GmmiR156b. Transgenic plants produced significantly increased numbers of long branches, nodes and pods, and they exhibited an increased 100-seed weight, resulting in a 46%-63% increase in yield per plant. Intriguingly, GmmiR156b overexpression had no significant impact on plant height in a growth room or under field conditions; however, it increased stem thickness significantly. Our data indicate that GmmiR156b modulates these traits mainly via the direct cleavage of SPL transcripts. Moreover, we found that GmSPL9d is expressed in the shoot apical meristem and axillary meristems (AMs) of soya bean, and that GmSPL9d may regulate axillary bud formation and branching by physically interacting with the homeobox gene WUSCHEL (WUS), a central regulator of AM formation. Together, our results identify GmmiR156b as a promising target for the improvement of soya bean plant architecture and yields, and they reveal a new and conserved regulatory cascade involving miR156-SPL-WUS that will help researchers decipher the genetic basis of plant architecture.
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Affiliation(s)
- Zhengxi Sun
- State Key Laboratory of Agricultural MicrobiologyCollege of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetic and Developmental BiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Chao Su
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetic and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Jinxia Yun
- State Key Laboratory of Agricultural MicrobiologyCollege of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina
| | - Qiong Jiang
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetic and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Lixiang Wang
- State Key Laboratory of Agricultural MicrobiologyCollege of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina
| | - Youning Wang
- State Key Laboratory of Agricultural MicrobiologyCollege of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina
| | - Dong Cao
- The Key Laboratory of Soybean Molecular Design BreedingNortheast Institute of Geography and AgroecologyChinese Academy of SciencesHarbinChina
| | - Fang Zhao
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetic and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Qingsong Zhao
- Hebei Academy of Agriculture and Forestry SciencesShijiazhuangChina
| | - Mengchen Zhang
- Hebei Academy of Agriculture and Forestry SciencesShijiazhuangChina
| | - Bin Zhou
- Anhui Academy of Agricultural ScienceHefeiChina
| | - Lei Zhang
- Anhui Academy of Agricultural ScienceHefeiChina
| | - Fanjiang Kong
- The Key Laboratory of Soybean Molecular Design BreedingNortheast Institute of Geography and AgroecologyChinese Academy of SciencesHarbinChina
- School of Life SciencesGuangzhou UniversityGuangzhouChina
| | - Baohui Liu
- The Key Laboratory of Soybean Molecular Design BreedingNortheast Institute of Geography and AgroecologyChinese Academy of SciencesHarbinChina
- School of Life SciencesGuangzhou UniversityGuangzhouChina
| | - Yiping Tong
- State Key Laboratory of Plant Cell and Chromosome EngineeringInstitute of Genetic and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Xia Li
- State Key Laboratory of Agricultural MicrobiologyCollege of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina
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21
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Tian L, Liu H, Ren L, Ku L, Wu L, Li M, Wang S, Zhou J, Song X, Zhang J, Dou D, Liu H, Tang G, Chen Y. MicroRNA 399 as a potential integrator of photo-response, phosphate homeostasis, and sucrose signaling under long day condition. BMC PLANT BIOLOGY 2018; 18:290. [PMID: 30463514 PMCID: PMC6249786 DOI: 10.1186/s12870-018-1460-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 10/03/2018] [Indexed: 05/21/2023]
Abstract
BACKGROUND Photoperiod-sensitivity is a critical endogenous regulatory mechanism for plant growth and development under specific environmental conditions, while phosphate and sucrose signaling processes play key roles in cell growth and organ initiation. MicroRNA399 is phosphate-responsive, but, whether it has roles in other metabolic processes remains unknown. RESULTS MicroRNA399 was determined to be sucrose-responsive through a microRNA array assay. High levels of sucrose inhibited the accumulation of microRNA399 family under phosphate starvation conditions in Arabidopsis thaliana. Similarly, exogenous sucrose supplementation also reduced microRNA399 expression in maize at developmental transition stages. RNA sequencing of a near-isogenic line(photoperiod-sensitive) line and its recurrent parent Huangzao4, a photoperiod-insensitive line, was conducted at various developmental stages. Members of microRNA399 family were down-regulated under long-day conditions in the photoperiod-sensitive near-isogenic line that accumulated more sucrose in vivo compared with the control line Huangzao4. CONCLUSION MicroRNA399s may play central roles in the integration of sucrose sensing and photoperiodic responses under long day conditions in maize.
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Affiliation(s)
- Lei Tian
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Haiping Liu
- Department of Biological Sciences, Michigan Technological University, Houghton, MI 49931 USA
| | - Ligang Ren
- College of Life Science, Northwest Agriculture and Forestry University, Yangling, 712100 China
| | - Lixia Ku
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Liuji Wu
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Mingna Li
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Shunxi Wang
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Jinlong Zhou
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Xiaoheng Song
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Jun Zhang
- Cereal Institute, Henan Academy of Agricultural Science/Henan Provincial Key Laboratory of Maize Biology, Zhengzhou, 450002 China
| | - Dandan Dou
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Huafeng Liu
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
| | - Guiliang Tang
- Department of Biological Sciences, Michigan Technological University, Houghton, MI 49931 USA
| | - Yanhui Chen
- College of Agronomy, National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou, 450002 China
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22
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Sánchez-Retuerta C, Suaréz-López P, Henriques R. Under a New Light: Regulation of Light-Dependent Pathways by Non-coding RNAs. FRONTIERS IN PLANT SCIENCE 2018; 9:962. [PMID: 30140270 PMCID: PMC6095000 DOI: 10.3389/fpls.2018.00962] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 06/14/2018] [Indexed: 05/18/2023]
Abstract
The biological relevance of non-protein coding RNAs in the regulation of critical plant processes has been firmly established in recent years. This has been mostly achieved with the discovery and functional characterization of small non-coding RNAs, such as small interfering RNAs and microRNAs (miRNAs). However, recent next-generation sequencing techniques have widened our view of the non-coding RNA world, which now includes long non-coding RNAs (lncRNAs). Small and lncRNAs seem to diverge in their biogenesis and mode of action, but growing evidence highlights their relevance in developmental processes and in responses to particular environmental conditions. Light can affect MIRNA gene transcription, miRNA biogenesis, and RNA-induced silencing complex (RISC) activity, thus controlling not only miRNA accumulation but also their biological function. In addition, miRNAs can mediate several light-regulated processes. In the lncRNA world, few reports are available, but they already indicate a role in the regulation of photomorphogenesis, cotyledon greening, and photoperiod-regulated flowering. In this review, we will discuss how light controls MIRNA gene expression and the accumulation of their mature forms, with a particular emphasis on those miRNAs that respond to different light qualities and are conserved among species. We will also address the role of small non-coding RNAs, particularly miRNAs, and lncRNAs in the regulation of light-dependent pathways. We will mainly focus on the recent progress done in understanding the interconnection between these non-coding RNAs and photomorphogenesis, circadian clock function, and photoperiod-dependent flowering.
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Affiliation(s)
| | - Paula Suaréz-López
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Barcelona, Spain
| | - Rossana Henriques
- Centre for Research in Agricultural Genomics, CSIC-IRTA-UAB-UB, Barcelona, Spain
- School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
- *Correspondence: Rossana Henriques,
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23
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Zhao W, Cheng Y, Zhang C, You Q, Shen X, Guo W, Jiao Y. Genome-wide identification and characterization of circular RNAs by high throughput sequencing in soybean. Sci Rep 2017; 7:5636. [PMID: 28717203 PMCID: PMC5514102 DOI: 10.1038/s41598-017-05922-9] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 06/06/2017] [Indexed: 12/01/2022] Open
Abstract
Circular RNAs (circRNAs) arise during pre-mRNA splicing, in which the 3' and 5' ends are linked to each other by a covalent bond. Soybean is an ancient tetraploid, which underwent two whole genome duplications. Most of soybean genes are paralogous genes with multiple copies. Although many circRNAs have been identified in animals and plants, little is known about soybean circRNAs, especially about circRNAs derived from paralogous genes. Here, we used deep sequencing technology coupled with RNase R enrichment strategy and bioinformatic approach to uncover circRNAs in soybean. A total of 5,372 circRNAs were identified, approximately 80% of which were paralogous circRNAs generated from paralogous genes. Despite high sequence homology, the paralogous genes could produce different paralogous circRNAs with different expression patterns. Two thousand and one hundred thirty four circRNAs were predicted to be 92 miRNAs target mimicry. CircRNAs and circRNA isoforms exhibited tissue-specific expression patterns in soybean. Based on the function of circRNA-host genes, the soybean circRNAs may participate in many biological processes such as developmental process, multi-organism process, and metabolic process. Our study not only provided a basis for research into the function of circRNAs in soybean but also new insights into the plant circRNA kingdom.
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Affiliation(s)
- Wei Zhao
- Key laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan, China
| | - Yihui Cheng
- Key laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan, China
| | - Chi Zhang
- BGI-Wuhan, Wuhan, 430075, Hubei, China
| | - Qingbo You
- Key laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan, China
| | - Xinjie Shen
- Key laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan, China
| | - Wei Guo
- Key laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan, China
| | - Yongqing Jiao
- Key laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan, China.
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24
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Jiang Q, Sun X, Niu F, Hu Z, Chen R, Zhang H. GmDREB1 overexpression affects the expression of microRNAs in GM wheat seeds. PLoS One 2017; 12:e0175924. [PMID: 28459812 PMCID: PMC5411081 DOI: 10.1371/journal.pone.0175924] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 04/03/2017] [Indexed: 01/07/2023] Open
Abstract
MicroRNAs (miRNAs) are small regulators of gene expression that act on many different molecular and biochemical processes in eukaryotes. To date, miRNAs have not been considered in the current evaluation system for GM crops. In this study, small RNAs from the dry seeds of a GM wheat line overexpressing GmDREB1 and non-GM wheat cultivars were investigated using deep sequencing technology and bioinformatic approaches. As a result, 23 differentially expressed miRNAs in dry seeds were identified and confirmed between GM wheat and a non-GM acceptor. Notably, more differentially expressed tae-miRNAs between non-GM wheat varieties were found, indicating that the degree of variance between non-GM cultivars was considerably higher than that induced by the transgenic event. Most of the target genes of these differentially expressed miRNAs between GM wheat and a non-GM acceptor were associated with abiotic stress, in accordance with the product concept of GM wheat in improving drought and salt tolerance. Our data provided useful information and insights into the evaluation of miRNA expression in edible GM crops.
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Affiliation(s)
- Qiyan Jiang
- Institute of Crop Science, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xianjun Sun
- Institute of Crop Science, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fengjuan Niu
- Institute of Crop Science, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zheng Hu
- Institute of Crop Science, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Rui Chen
- Tianjin Institute of Agricultural Quality Standard and Testing Technology, Tianjin Academy of Agricultural Sciences, Tianjin, China
- * E-mail: (RC); (HZ)
| | - Hui Zhang
- Institute of Crop Science, National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing, China
- * E-mail: (RC); (HZ)
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25
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Cao D, Takeshima R, Zhao C, Liu B, Jun A, Kong F. Molecular mechanisms of flowering under long days and stem growth habit in soybean. JOURNAL OF EXPERIMENTAL BOTANY 2017; 68:1873-1884. [PMID: 28338712 DOI: 10.1093/jxb/erw394] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Precise timing of flowering is critical to crop adaptation and productivity in a given environment. A number of classical E genes controlling flowering time and maturity have been identified in soybean [Glycine max (L.) Merr.]. The public availability of the soybean genome sequence has accelerated the identification of orthologues of Arabidopsis flowering genes and their functional analysis, and has allowed notable progress towards understanding the molecular mechanisms of flowering in soybean. Great progress has been made particularly in identifying genes and modules that inhibit flowering in long-day conditions, because a reduced or absent inhibition of flowering by long daylengths is an essential trait for soybean, a short-day (SD) plant, to expand its adaptability toward higher latitude environments. In contrast, the molecular mechanism of floral induction by SDs remains elusive in soybean. Here we present an update on recent work on molecular mechanisms of flowering under long days and of stem growth habit, outlining the progress in the identification of genes responsible, the interplay between photoperiod and age-dependent miRNA-mediated modules, and the conservation and divergence in photoperiodic flowering and stem growth habit in soybean relative to other legumes, Arabidopsis, and rice (Oryza sativa L.).
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Affiliation(s)
- Dong Cao
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China
| | - Ryoma Takeshima
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-8589, Japan
| | - Chen Zhao
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-8589, Japan
| | - Baohui Liu
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China
| | - Abe Jun
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido 060-8589, Japan
| | - Fanjiang Kong
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
- The Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China
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Tripathi RK, Goel R, Kumari S, Dahuja A. Genomic organization, phylogenetic comparison, and expression profiles of the SPL family genes and their regulation in soybean. Dev Genes Evol 2017; 227:101-119. [PMID: 28133699 DOI: 10.1007/s00427-017-0574-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 01/13/2017] [Indexed: 11/28/2022]
Abstract
SQUAMOSA Promoter-Binding Protein-Like (SPL) genes form a major family of plant-specific transcription factors and play an important role in plant growth and development. In this study, we report the identification of 41 SPL genes (GmSPLs) in the soybean genome. Phylogenetic analysis revealed that these genes were divided into five groups (groups 1-5). Further, exon/intron structure and motif composition revealed that the GmSPL genes are conserved within their same group. The N-terminal zinc finger 1 (Zn1) of the SBP domain was a CCCH (Cys3His1) and the C terminus zinc finger 2 (Zn2) was a CCHC (Cys2HisCys) type. The 41 GmSPL genes were distributed unevenly on 17 of the 20 chromosomes, with tandem and segmental duplication events. We found that segmental duplication has made an important contribution to soybean SPL gene family expansion. The Ka/Ks ratios revealed that the duplicated GmSPL genes evolved under the effect of purifying selection. In addition, 17 of the 41 GmSPLs were found as targets of miR156; these might be involved in their posttranscriptional regulation through miR156. Importantly, RLM-RACE analysis confirmed the GmmiR156-mediated cleavage of GmSPL2a transcript in 2-4 mm stage of soybean seed. Alternative splicing events in 9 GmSPLs were detected which produces transcripts and proteins of different lengths that may modulate protein signaling, binding, localization, stability, and other properties. Expression analysis of the soybean SPL genes in various tissues and different developmental stages of seed suggested distinct spatiotemporal patterns. Differences in the expression patterns of miR156-targeted and miR156-non-targeted soybean SPL genes suggest that miR156 plays key functions in soybean development. Our results provide an important foundation for further uncovering the crucial roles of GmSPLs in the development of soybean and other biological processes.
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Affiliation(s)
- Rajiv K Tripathi
- Division of Biochemistry, Indian Agricultural Research Institute, New Delhi, India.
- Department of Plant Science, McGill University, 21111 Rue Lakeshore, Sainte-Anne-de-Bellevue, QC, H9X 3V9, Canada.
| | - Ridhi Goel
- Plant Molecular Biology Laboratory, CSIR-National Botanical Research Institute, Rana Pratap Marg, Lucknow, India
| | - Sweta Kumari
- Division of Biochemistry, Indian Agricultural Research Institute, New Delhi, India
| | - Anil Dahuja
- Division of Biochemistry, Indian Agricultural Research Institute, New Delhi, India
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