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Tian H, Wang R, Li J, Zhao S, Teotia S, Gao B, Cheng Y, Li F, Liu Y, Zhang J, Zhao Y, Zhao Q, Peng T. Regulation of Rice Grain Weight by Fatty Acid Composition: Unveiling the Mechanistic Roles of OsLIN6 by OsARF12. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:24655-24667. [PMID: 39463330 DOI: 10.1021/acs.jafc.4c06582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
Fatty acids play a putative role as second messengers of phytohormones and regulate the rice grain weight. However, the inner mechanism is still unclear and needs to be further studied. In this study, we identified that oleic acid (C18:1) negatively correlates while linoleic acid (C18:2) positively correlates with rice grain weight. Field trials showed that 1000-grain weight was significantly reduced when treated with the fatty acid synthesis inhibitor, Firsocostat S enantiomer (FSE), at the heading and flowering stages. RNA-seq analysis revealed that FSE affects grain weight by modulating processes, such as glycolysis, sucrose metabolism, and hormone signaling. Notably, FSE inhibited the expression of OsLIN6, which is responsible for transporting C18:1 to the phosphatidylcholine pool for C18:2 synthesis. Compared with the wild type (WT), the OsLIN6 knockout mutant exhibited a lower grain weight, an increased C18:1 content, and a decreased C18:2 content. Importantly, OsARF12 was shown to bind to the OsLIN6 promoter and activate its expression. In summary, this study highlights the crucial role of the fatty acid synthesis gene, OsLIN6, which was regulated by OsARF12, in rice grain weight determination, thus establishing the molecular link between fatty acid synthesis and auxin signaling.
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Affiliation(s)
- Haoran Tian
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Rongxia Wang
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Jialu Li
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Shuaibing Zhao
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Sachin Teotia
- Department of Biotechnology, Sharda University, Greater Noida 201306, India
| | - Boyan Gao
- Institute of Food and Nutraceutical Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yuan Cheng
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Fei Li
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Ye Liu
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Jing Zhang
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Yafan Zhao
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
| | - Quanzhi Zhao
- College of Agriculture, Guizhou University, Guiyang 550025, China
| | - Ting Peng
- Collaborative Innovation Center of Henan Grain Crops; Henan Key Laboratory of Rice Molecular Breeding and High Efficiency Production; Henan Center of Crop Genomics and Rice Engineering, Henan Agricultural University, Zhengzhou 450046, China
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Zhang Q, Wu R, Hong T, Wang D, Li Q, Wu J, Zhang H, Zhou K, Yang H, Zhang T, Liu J, Wang N, Ling Y, Yang Z, He G, Zhao F. Natural variation in the promoter of qRBG1/OsBZR5 underlies enhanced rice yield. Nat Commun 2024; 15:8565. [PMID: 39362889 PMCID: PMC11449933 DOI: 10.1038/s41467-024-52928-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 09/24/2024] [Indexed: 10/05/2024] Open
Abstract
Seed size, a key determinant of rice yield, is regulated by brassinosteroid (BR); however, the BR pathway in rice has not been fully elucidated. Here, we report the cloning and characterization of the quantitative trait locus Rice Big Grain 1 (qRBG1) from single-segment substitution line Z499. Our data show that qRBG1Z is an unselected rare promoter variation that reduces qRBG1 expression to increase cell number and size, resulting in larger grains, whereas qRBG1 overexpression causes smaller grains in recipient Nipponbare. We demonstrate that qRBG1 encodes a non-canonical BES1 (Bri1-EMS-Suppressor1)/BZR1(Brassinazole-Resistant1) family member, OsBZR5, that regulates grain size upon phosphorylation by OsGSK2 (GSK3-like Kinase2) and binding to D2 (DWARF2) and OFP1 (Ovate-Family-Protein1) promoters. qRBG1 interacts with OsBZR1 to synergistically repress D2, and to antagonistically mediate OFP1 for grain size. Our results reveal a regulatory network controlling grain size via OsGSK2-qRBG1-OsBZR1-D2-OFP1 module, providing a target for improving rice yield.
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Affiliation(s)
- Qiuli Zhang
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Renhong Wu
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Tao Hong
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Dachuan Wang
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Qiaolong Li
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Jiayi Wu
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Han Zhang
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Kai Zhou
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Hongxia Yang
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Ting Zhang
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - JinXiang Liu
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Nan Wang
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Yinghua Ling
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Zhenglin Yang
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China
| | - Guanghua He
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China.
| | - Fangming Zhao
- Rice Research Institute, Key Laboratory of Crop Molecular Improvement, Academy of Agricultural Sciences, Ministry of Education, Southwest University, Chongqing, 400715, China.
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3
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Ekta, Maiti MK. Rice Big Grain1 improves grain yield in ectopically expressing rice and heterologously expressing tobacco plants. PLANT MOLECULAR BIOLOGY 2024; 114:73. [PMID: 38874648 DOI: 10.1007/s11103-024-01472-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 05/26/2024] [Indexed: 06/15/2024]
Abstract
Functional genomics through transgenesis has provided faster and more reliable methods for identifying, characterizing, and utilizing genes or quantitative trait loci linked to agronomic traits to target yield. The present study explored the role of Big Grain1 (BG1) gene of rice (Oryza sativa L.) in yield improvement of crop plants. We aimed to identify the genetic variation of OsBG1 in various indica rice cultivars by studying the allelic polymorphism of the gene, while also investigating the gene's potential to increase crop yield through the transgenic approach. Our study reports the presence of an extra 393 bp sequence having two 6 bp enhancer elements in the 3' regulatory sequence of OsBG1 in the large-grain cultivar IR64 but not in the small-grain cultivar Badshahbhog. A single copy of the OsBG1 gene in both the cultivars and a 4.1-fold higher expression of OsBG1 in IR64 than in Badshahbhog imply that the grain size is positively correlated with the level of OsBG1 expression in rice. The ectopic expression of OsBG1 under the endosperm-specific glutelin C promoter in Badshahbhog enhanced the flag leaf length, panicle weight, and panicle length by an average of 33.2%, 33.7%, and 30.5%, respectively. The length of anthers, spikelet fertility, and grain yield per plant increased in transgenic rice lines by an average of 27.5%, 8.3%, and 54.4%, respectively. Heterologous expression of OsBG1 under the constitutive 2xCaMV35S promoter improved the number of seed pods per plant and seed yield per plant in transgenic tobacco lines by an average of 2.2-fold and 2.6-fold, respectively. Improving crop yield is crucial to ensure food security and socio-economic stability, and identifying suitable genetic factor is the essential step towards this endeavor. Our findings suggest that the OsBG1 gene is a promising candidate for improving the grain yield of monocot and dicot plant systems by molecular breeding and genetic engineering.
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Affiliation(s)
- Ekta
- Department of Bioscience and Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Mrinal K Maiti
- Department of Bioscience and Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
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Abbas W, Shalmani A, Zhang J, Sun Q, Zhang C, Li W, Cui Y, Xiong M, Li Y. The GW5-WRKY53-SGW5 module regulates grain size variation in rice. THE NEW PHYTOLOGIST 2024; 242:2011-2025. [PMID: 38519445 DOI: 10.1111/nph.19704] [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: 01/11/2024] [Accepted: 03/06/2024] [Indexed: 03/25/2024]
Abstract
Grain size is a crucial agronomic trait that affects stable yield, appearance, milling quality, and domestication in rice. However, the molecular and genetic relationships among QTL genes (QTGs) underlying natural variation for grain size remain elusive. Here, we identified a novel QTG SGW5 (suppressor of gw5) by map-based cloning using an F2 segregation population by fixing same genotype of the master QTG GW5. SGW5 positively regulates grain width by influencing cell division and cell size in spikelet hulls. Two nearly isogenic lines exhibited a significant differential expression of SGW5 and a 12.2% increase in grain yield. Introducing the higher expression allele into the genetic background containing the lower expression allele resulted in increased grain width, while its knockout resulted in shorter grain hulls and dwarf plants. Moreover, a cis-element variation in the SGW5 promoter influenced its differential binding affinity for the WRKY53 transcription factor, causing the differential SGW5 expression, which ultimately leads to grain size variation. GW5 physically and genetically interacts with WRKY53 to suppress the expression of SGW5. These findings elucidated a new pathway for grain size regulation by the GW5-WRKY53-SGW5 module and provided a novel case for generally uncovering QTG interactions underlying the genetic diversity of an important trait in crops.
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Affiliation(s)
- Waseem Abbas
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Abdullah Shalmani
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Jian Zhang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Qi Sun
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Chunyu Zhang
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Wei Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Yana Cui
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Meng Xiong
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Yibo Li
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
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5
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Huang J, Zhou Z, Wang Y, Yang J, Wang X, Tang Y, Xu R, Li Y, Wu L. SMS2, a Novel Allele of OsINV3, Regulates Grain Size in Rice. PLANTS (BASEL, SWITZERLAND) 2024; 13:1219. [PMID: 38732433 PMCID: PMC11085151 DOI: 10.3390/plants13091219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/21/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024]
Abstract
Grain size has an important effect on rice yield. Although several key genes that regulate seed size have been reported in rice, their molecular mechanisms remain unclear. In this study, a rice small grain size 2 (sms2) mutant was identified, and MutMap resequencing analysis results showed that a 2 bp insertion in the second exon of the LOC_Os02g01590 gene resulted in a grain length and width lower than those of the wild-type Teqing (TQ). We found that SMS2 encoded vacuolar acid invertase, a novel allele of OsINV3, which regulates grain size. GO and KEGG enrichment analyses showed that SMS2 was involved in endoplasmic reticulum protein synthesis, cysteine and methionine metabolism, and propionic acid metabolism, thereby regulating grain size. An analysis of sugar content in young panicles showed that SMS2 reduced sucrose, fructose, and starch contents, thus regulating grain size. A haplotype analysis showed that Hap2 of SMS2 had a longer grain and was widely present in indica rice varieties. Our results provide a new theoretical basis for the molecular and physiological mechanisms by which SMS2 regulates grain size.
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Affiliation(s)
- Jianzhi Huang
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China (R.X.)
| | - Zelong Zhou
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China (R.X.)
| | - Ying Wang
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China (R.X.)
| | - Jing Yang
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China (R.X.)
| | - Xinyue Wang
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China (R.X.)
| | - Yijun Tang
- Department of Resources and Environment, Zunyi Normal College, Ping An Avenue, Xinpu New District, Zunyi 563006, China
| | - Ran Xu
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China (R.X.)
| | - Yunhai Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, CAS Centre for Excellence in Molecular Plant Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China;
| | - Lian Wu
- School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China (R.X.)
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6
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Wu S, Gao Y, Zhang Q, Liu F, Hu W. Application of Multi-Omics Technologies to the Study of Phytochromes in Plants. Antioxidants (Basel) 2024; 13:99. [PMID: 38247523 PMCID: PMC10812741 DOI: 10.3390/antiox13010099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 01/23/2024] Open
Abstract
Phytochromes (phy) are distributed in various plant organs, and their physiological effects influence plant germination, flowering, fruiting, and senescence, as well as regulate morphogenesis throughout the plant life cycle. Reactive oxygen species (ROS) are a key regulatory factor in plant systemic responses to environmental stimuli, with an attractive regulatory relationship with phytochromes. With the development of high-throughput sequencing technology, omics techniques have become powerful tools, and researchers have used omics techniques to facilitate the big data revolution. For an in-depth analysis of phytochrome-mediated signaling pathways, integrated multi-omics (transcriptomics, proteomics, and metabolomics) approaches may provide the answer from a global perspective. This article comprehensively elaborates on applying multi-omics techniques in studying phytochromes. We describe the current research status and future directions on transcriptome-, proteome-, and metabolome-related network components mediated by phytochromes when cells are subjected to various stimulation. We emphasize the importance of multi-omics technologies in exploring the effects of phytochromes on cells and their molecular mechanisms. Additionally, we provide methods and ideas for future crop improvement.
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Affiliation(s)
- Shumei Wu
- Basic Medical Experiment Center, School of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China; (S.W.); (Y.G.); (Q.Z.)
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332000, China
| | - Yue Gao
- Basic Medical Experiment Center, School of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China; (S.W.); (Y.G.); (Q.Z.)
| | - Qi Zhang
- Basic Medical Experiment Center, School of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang 330004, China; (S.W.); (Y.G.); (Q.Z.)
| | - Fen Liu
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332000, China
| | - Weiming Hu
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332000, China
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7
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Wang Y, Lv Y, Yu H, Hu P, Wen Y, Wang J, Tan Y, Wu H, Zhu L, Wu K, Chai B, Liu J, Zeng D, Zhang G, Zhu L, Gao Z, Dong G, Ren D, Shen L, Zhang Q, Li Q, Guo L, Xiong G, Qian Q, Hu J. GR5 acts in the G protein pathway to regulate grain size in rice. PLANT COMMUNICATIONS 2024; 5:100673. [PMID: 37596786 PMCID: PMC10811372 DOI: 10.1016/j.xplc.2023.100673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 08/09/2023] [Accepted: 08/14/2023] [Indexed: 08/20/2023]
Abstract
Grain size is an important determinant of grain yield in rice. Although dozens of grain size genes have been reported, the molecular mechanisms that control grain size remain to be fully clarified. Here, we report the cloning and characterization of GR5 (GRAIN ROUND 5), which is allelic to SMOS1/SHB/RLA1/NGR5 and encodes an AP2 transcription factor. GR5 acts as a transcriptional activator and determines grain size by influencing cell proliferation and expansion. We demonstrated that GR5 physically interacts with five Gγ subunit proteins (RGG1, RGG2, DEP1, GS3, and GGC2) and acts downstream of the G protein complex. Four downstream target genes of GR5 in grain development (DEP2, DEP3, DRW1, and CyCD5;2) were revealed and their core T/CGCAC motif identified by yeast one-hybrid, EMSA, and ChIP-PCR experiments. Our results revealed that GR5 interacts with Gγ subunits and cooperatively determines grain size by regulating the expression of downstream target genes. These findings provide new insight into the genetic regulatory network of the G protein signaling pathway in the control of grain size and provide a potential target for high-yield rice breeding.
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Affiliation(s)
- Yueying Wang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Yang Lv
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Haiping Yu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Peng Hu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Yi Wen
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Junge Wang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Yiqing Tan
- Nanjing Agricultural University, Nan Jing 210000, Jiangsu, China
| | - Hao Wu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Lixin Zhu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Kaixiong Wu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Bingze Chai
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Jialong Liu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Dali Zeng
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Guangheng Zhang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Li Zhu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Zhenyu Gao
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Guojun Dong
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Deyong Ren
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Lan Shen
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Qiang Zhang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Qing Li
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Longbiao Guo
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China
| | - Guosheng Xiong
- Nanjing Agricultural University, Nan Jing 210000, Jiangsu, China.
| | - Qian Qian
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; Hainan Yazhou Bay Seed Laboratory, Sanya 572024, Hainan, China; National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.
| | - Jiang Hu
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; Hainan Yazhou Bay Seed Laboratory, Sanya 572024, Hainan, China; National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China.
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8
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Brunet-Loredo A, López-Belchí MD, Cordero-Lara K, Noriega F, Cabeza RA, Fischer S, Careaga P, Garriga M. Assessing Grain Quality Changes in White and Black Rice under Water Deficit. PLANTS (BASEL, SWITZERLAND) 2023; 12:4091. [PMID: 38140418 PMCID: PMC10748231 DOI: 10.3390/plants12244091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 12/24/2023]
Abstract
Rice is an essential diet component for a significant portion of the population worldwide. Due to the high water demand associated with rice production, improving water use efficiency and grain quality is critical to increasing the sustainability of the crop. This species includes rice varieties with diverse pigmentation patterns. Grain quality, including industrial, nutritional, and functional quality traits, of two black rice genotypes and a commercial white rice cultivar were evaluated in different locations and under different water regimes. Flooding produced higher grain weight compared to alternate wetting and drying irrigation. A high correlation was found between grain color, total phenolic content (TPC), and antioxidant activity. The black rice genotypes showed higher TPC levels and antioxidant capacity, mainly due to higher levels of cyanidin 3-O-glucoside. The phenolic profile varied between whole and polished grains, while mineral composition was influenced by location and irrigation regime. In turn, the environment influenced grain quality in terms of industrial and nutritional characteristics, with significant differences in quality between whole and polished grains. This study provides valuable information on the genotype-environment relationship in rice and its effect on grain quality, which could contribute to selecting genotypes for an appropriate environment.
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Affiliation(s)
- Aloysha Brunet-Loredo
- Department of Plant Production, Faculty of Agronomy, University of Concepcion, Avenida Vicente Mendez, 595, Chillán 3780000, Chile; (A.B.-L.); (M.D.L.-B.); (F.N.); (S.F.); (P.C.)
| | - María Dolores López-Belchí
- Department of Plant Production, Faculty of Agronomy, University of Concepcion, Avenida Vicente Mendez, 595, Chillán 3780000, Chile; (A.B.-L.); (M.D.L.-B.); (F.N.); (S.F.); (P.C.)
| | - Karla Cordero-Lara
- Institute of Agricultural Research, Regional Research Center Quilamapu, Avenida Vicente Mendez, 515, Chillán 3780000, Chile;
| | - Felipe Noriega
- Department of Plant Production, Faculty of Agronomy, University of Concepcion, Avenida Vicente Mendez, 595, Chillán 3780000, Chile; (A.B.-L.); (M.D.L.-B.); (F.N.); (S.F.); (P.C.)
| | - Ricardo A. Cabeza
- Plant Nutrition Laboratory, Department of Crop Sciences, Faculty of Agricultural Sciences, University of Talca, Avenida Lircay s/n, Talca 3460000, Chile;
| | - Susana Fischer
- Department of Plant Production, Faculty of Agronomy, University of Concepcion, Avenida Vicente Mendez, 595, Chillán 3780000, Chile; (A.B.-L.); (M.D.L.-B.); (F.N.); (S.F.); (P.C.)
| | - Paula Careaga
- Department of Plant Production, Faculty of Agronomy, University of Concepcion, Avenida Vicente Mendez, 595, Chillán 3780000, Chile; (A.B.-L.); (M.D.L.-B.); (F.N.); (S.F.); (P.C.)
| | - Miguel Garriga
- Department of Plant Production, Faculty of Agronomy, University of Concepcion, Avenida Vicente Mendez, 595, Chillán 3780000, Chile; (A.B.-L.); (M.D.L.-B.); (F.N.); (S.F.); (P.C.)
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9
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Wang Y, Liang X, Gong G, Zhang G, Zhao H, Zheng Z, Wang C, Zhu H, Huang J, Li Z, Bu S, Liu G, Wang S, Liu Z. qGLF5 from Oryza rufipogon Griff. improves kernel shape, plant architecture, and yield in rice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:225. [PMID: 37847396 DOI: 10.1007/s00122-023-04478-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/04/2023] [Indexed: 10/18/2023]
Abstract
KEY MESSAGE A novel QTL qGLF5 from Oryza rufipogon Griff. improves yield per plant and plant architecture in rice. Kernel size and plant architecture are critical agronomic traits that are key targets for improving crop yield. From the single-segment substitution lines of Oryza rufipogon Griff. in the indica cultivar Huajingxian74 (HJX74) background, we identified a novel quantitative trait locus (QTL), named qGLF5, which improves kernel shape, plant architecture, and yield per plant in rice. Compared with the control HJX74, the plant height, panicles per plant, panicle length, primary branches per panicle, secondary branches per panicle, and kernels per plant of the near-isogenic line-qGLF5 (NIL-qGLF5) are significantly increased. NIL-qGLF5 has long and narrow kernels by regulating cell number, cell length and width in the spikelet hulls. Yield per plant of NIL-qGLF5 is increased by 35.02% compared with that of HJX74. In addition, qGLF5 significantly improves yield per plant and plant architecture of NIL-gw5 and NIL-GW7. These results indicate that qGLF5 might be beneficial for improving plant architecture and kernel yield in rice breeding by molecular design.
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Affiliation(s)
- Yijun Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Xiaoya Liang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Gaoyang Gong
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Guiquan Zhang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Hongyuan Zhao
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Zhenwu Zheng
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Chihang Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Haitao Zhu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Jinyan Huang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Zhan Li
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Suhong Bu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Guifu Liu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China
| | - Shaokui Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China.
| | - Zupei Liu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510630, Guangdong, China.
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10
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Cai Q, Jiao F, Wang Q, Zhang E, Song X, Pei Y, Li J, Zhao M, Guo X. Multiomics comparative analysis of the maize large grain mutant tc19 identified pathways related to kernel development. BMC Genomics 2023; 24:537. [PMID: 37697229 PMCID: PMC10496403 DOI: 10.1186/s12864-023-09567-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 08/08/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND The mechanism of grain development in elite maize breeding lines has not been fully elucidated. Grain length, grain width and grain weight are key components of maize grain yield. Previously, using the Chinese elite maize breeding line Chang7-2 and its large grain mutant tc19, we characterized the grain size developmental difference between Chang7-2 and tc19 and performed transcriptomic analysis. RESULTS In this paper, using Chang7-2 and tc19, we performed comparative transcriptomic, proteomic and metabolomic analyses at different grain development stages. Through proteomics analyses, we found 2884, 505 and 126 differentially expressed proteins (DEPs) at 14, 21 and 28 days after pollination, respectively. Through metabolomics analysis, we identified 51, 32 and 36 differentially accumulated metabolites (DAMs) at 14, 21 and 28 days after pollination, respectively. Through multiomics comparative analysis, we showed that the phenylpropanoid pathways are influenced at transcriptomic, proteomic and metabolomic levels in all the three grain developmental stages. CONCLUSION We identified several genes in phenylpropanoid biosynthesis, which may be related to the large grain phenotype of tc19. In summary, our results provided new insights into maize grain development.
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Affiliation(s)
- Qing Cai
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Fuchao Jiao
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
- The Characteristic Laboratory of Crop Germplasm Innovation and Application, Provincial Department of Education, College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Qianqian Wang
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Enying Zhang
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Xiyun Song
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Yuhe Pei
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Jun Li
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China
| | - Meiai Zhao
- College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China
| | - Xinmei Guo
- College of Agronomy, Qingdao Agricultural University, Qingdao, 266109, China.
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11
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Xiong D, Wang R, Wang Y, Li Y, Sun G, Yao S. SLG2 specifically regulates grain width through WOX11-mediated cell expansion control in rice. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:1904-1918. [PMID: 37340997 PMCID: PMC10440987 DOI: 10.1111/pbi.14102] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/19/2023] [Accepted: 05/28/2023] [Indexed: 06/22/2023]
Abstract
Grain size is specified by three dimensions of length, width and thickness, and slender grain is a desirable quality trait in rice. Up to now, many grain size regulators have been identified. However, most of these molecules show influence on multi-dimensions of grain development, and only a few of them function specifically in grain width, a key factor determining grain yield and appearance quality. In this study, we identify the SLG2 (SLENDER GUY2) gene that specifically regulates grain width by affecting cell expansion in the spikelet hulls. SLG2 encodes a WD40 domain containing protein, and our biochemical analyses show that SLG2 acts as a transcription activator of its interacting WOX family protein WOX11. We demonstrate that the SLG2-associated WOX11 binds directly to the promoter of OsEXPB7, one of the downstream cell expansion genes. We show that knockout of WOX11 results in plants with a slender grain phenotype similar to the slg2 mutant. We also present that finer grains with different widths could be produced by combining SLG2 with the grain width regulator GW8. Collectively, we uncover the crucial role of SLG2 in grain width control, and provide a promising route to design rice plants with better grain shape and quality.
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Affiliation(s)
- Dunpin Xiong
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Ruci Wang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
| | - Yueming Wang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
| | - Yi Li
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Ge Sun
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Shanguo Yao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed DesignChinese Academy of SciencesBeijingChina
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12
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Bai F, Ma H, Cai Y, Shahid MQ, Zheng Y, Lang C, Chen Z, Wu J, Liu X, Wang L. Natural allelic variation in GRAIN SIZE AND WEIGHT 3 of wild rice regulates the grain size and weight. PLANT PHYSIOLOGY 2023; 193:502-518. [PMID: 37249047 PMCID: PMC10469372 DOI: 10.1093/plphys/kiad320] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 04/18/2023] [Accepted: 05/02/2023] [Indexed: 05/31/2023]
Abstract
Grain size is important for yield in rice (Oryza sativa L.). Although many genes involved in grain size have been isolated, few can be used in breeding due to their interactions and phenotypic effects. Here, we describe natural variation in the granule-type quantitative trait locus GRAIN SIZE AND WEIGHT 3 (GSW3) located on chromosome 3 in wild rice (Oryza rufipogon Griff.) that encodes a GTPase-regulated protein and negatively regulates grain length, grain width, and 1,000-grain weight. The insertion of a 232-bp fragment of the genomic sequence in the wild rice, a natural allelic variant gene (GSW3), increased the expression levels and reduced the grain length and width and 1,000-grain weight. Knockout of GSW3 in the wild rice inbred line Huaye 3 increased the grain length and width and 1,000-grain weight. Introducing GSW3Huaye3 into cultivated rice line KJ01 and overexpressing GSW3Huaye3 in Huaye 3 resulted in reduced grain length and width and 1,000-grain weight, and grain size and 1,000-grain weight changes were closely related to GSW3 expression levels. GSW3 regulated the grain length and width simultaneously by promoting grain glume cell division and longitudinal and transverse cell growth. GSW3 was also involved in regulating the gibberellic acid signaling pathway and negatively regulated plant growth. Furthermore, a critical SNP in the GSW3 coding region was obviously correlated with grain size variation in a core collection of cultivated rice. This SNP resulted in an amino acid substitution from Gln to Arg at position 161 in GSW3, which reduced the grain size. Our study shows that GSW3 negatively regulates the grain shape, which could explain different grain shapes in modern cultivars and wild rice. GSW3 may also be used for breeding rice varieties with improved grain shapes and higher yield.
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Affiliation(s)
- Feng Bai
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Huijin Ma
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Yichang Cai
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Muhammad Qasim Shahid
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Yuebin Zheng
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Chuan Lang
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Zhixiong Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Jinwen Wu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Xiangdong Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
| | - Lan Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- College of Agriculture, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou 510642, China
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13
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Ma S, Zhong Y, Zheng S, He Y, Yang S, Wang L, Traw MB, Zhang Q, Zhang X. Rapid Identification by Resequencing-Based QTL Mapping of a Novel Allele RGA1-FH Decreasing Grain Length in a Rice Restorer Line 'Fuhui212'. Int J Mol Sci 2023; 24:10746. [PMID: 37445924 DOI: 10.3390/ijms241310746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/21/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Grain size is one of the most frequently selected traits during domestication and modern breeding. The continued discovery and characterization of new genes and alleles in controlling grain size are important in safeguarding the food supply for the world's growing population. Previously, a small grain size was observed in a rice restorer line 'Fuhui212', while the underlying genetic factors controlling this trait were unknown. In this study, by combining QTL mapping, variant effect prediction, and complementation experiments, we recovered a novel allele RGA1-FH that explains most of the phenotypic changes. The RGA1-FH allele contains an A-to-T splicing site variant that disrupts the normal function of RGA1. While population analysis suggests extremely strong artificial selection in maintaining a functional allele of RGA1, our study is the first, to the best of our knowledge, to prove that a dysfunctional RGA1 allele can also be beneficial in real agricultural production. Future breeding programs would benefit from paying more attention to the rational utilization of those overlooked 'unfavored' alleles.
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Affiliation(s)
- Shiying Ma
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Yifan Zhong
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Shuyi Zheng
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Ying He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Sihai Yang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Long Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Milton Brian Traw
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Qijun Zhang
- Institute of Food Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Xiaohui Zhang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
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14
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Subudhi PK. Molecular Research in Rice. Int J Mol Sci 2023; 24:10063. [PMID: 37373210 DOI: 10.3390/ijms241210063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
Rice is the most important source of nutrition for approximately half of the human population [...].
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Affiliation(s)
- Prasanta K Subudhi
- School of Plant, Environmental, and Soil Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
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15
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Nagata K, Nonoue Y, Matsubara K, Mizobuchi R, Ono N, Shibaya T, Ebana K, Ogiso-Tanaka E, Tanabata T, Sugimoto K, Taguchi-Shiobara F, Yonemaru JI, Uga Y, Fukuda A, Ueda T, Yamamoto SI, Yamanouchi U, Takai T, Ikka T, Kondo K, Hoshino T, Yamamoto E, Adachi S, Sun J, Kuya N, Kitomi Y, Iijima K, Nagasaki H, Shomura A, Mizubayashi T, Kitazawa N, Hori K, Ando T, Yamamoto T, Fukuoka S, Yano M. Development of 12 sets of chromosome segment substitution lines that enhance allele mining in Asian cultivated rice. BREEDING SCIENCE 2023; 73:332-342. [PMID: 37840983 PMCID: PMC10570878 DOI: 10.1270/jsbbs.23006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/12/2023] [Indexed: 10/17/2023]
Abstract
Many agronomic traits that are important in rice breeding are controlled by multiple genes. The extensive time and effort devoted so far to identifying and selecting such genes are still not enough to target multiple agronomic traits in practical breeding in Japan because of a lack of suitable plant materials in which to efficiently detect and validate beneficial alleles from diverse genetic resources. To facilitate the comprehensive analysis of genetic variation in agronomic traits among Asian cultivated rice, we developed 12 sets of chromosome segment substitution lines (CSSLs) with the japonica background, 11 of them in the same genetic background, using donors representing the genetic diversity of Asian cultivated rice. Using these materials, we overviewed the chromosomal locations of 1079 putative QTLs for seven agronomic traits and their allelic distribution in Asian cultivated rice through multiple linear regression analysis. The CSSLs will allow the effects of putative QTLs in the highly homogeneous japonica background to be validated.
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Affiliation(s)
- Kazufumi Nagata
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yasunori Nonoue
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kazuki Matsubara
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ritsuko Mizobuchi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Nozomi Ono
- Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries, 446-1 Ippaizuka, Kamiyokoba, Tsukuba, Ibaraki 305-0854, Japan
| | - Taeko Shibaya
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kaworu Ebana
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Eri Ogiso-Tanaka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Takanari Tanabata
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kazuhiko Sugimoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Fumio Taguchi-Shiobara
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Jun-ichi Yonemaru
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yusaku Uga
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Atsunori Fukuda
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tadamasa Ueda
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shin-ichi Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Utako Yamanouchi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Toshiyuki Takai
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Takashi Ikka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Katsuhiko Kondo
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tomoki Hoshino
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Eiji Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shunsuke Adachi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Jian Sun
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Noriyuki Kuya
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yuka Kitomi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ken Iijima
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Hideki Nagasaki
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ayahiko Shomura
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tatsumi Mizubayashi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Noriyuki Kitazawa
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kiyosumi Hori
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tsuyu Ando
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Toshio Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shuichi Fukuoka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Masahiro Yano
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
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16
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Park JR, Seo J, Park S, Jin M, Jeong OY, Park HS. Identification of Potential QTLs Related to Grain Size in Rice. PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12091766. [PMID: 37176824 PMCID: PMC10181466 DOI: 10.3390/plants12091766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/22/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023]
Abstract
Rice is a major crop, providing calories and food for most of the world's population. Currently, the global population is rapidly increasing, and securing a yield of rice that can satisfy everyone is an ongoing challenge. The yield of rice can be increased by controlling 1000-grain weight as one of the important determining factors. Grain length, grain width, grain thickness, and 1000-grain weight, which determine grain size, are controlled by QTLs. To identify QTLs related to grain size, we screened and then mapped 88 RIL individuals derived from a cross between JJ625LG, which has a long grain size, long spindle-shaped grains, and low 1000-grain weight, and Namchan, which has short grains with round shape and heavy 1000-grain weight. In 2021 and 2022, 511 SNP markers were used to map QTLs related to grain size to a physical map. The QTLs found to be related to grain size are evenly distributed on chromosomes 2, 3, 5, 10, and 11. The mapping results also show that the QTLs qGl3-2, qRlw3, and qRlw3-2 of chromosome 3, and qGt5 and qRlw5 of chromosome 5 are, respectively, associated with GS3 and qSW5, which are the major genes previously cloned and found to be related to grain size. In addition, qGw10 and qGw10-1, which were additionally detected in this study, were found to be associated with Os10g0525200 (OsCPq10), a potential candidate gene involved in controlling grain size. This gene codes for a cytochrome P450 family protein and is reported to have a positive effect on grain size by interacting with proteins related to mechanisms determining grain size. In particular, OsCPq10 was screened in the same identified QTL region for 2 consecutive years, which is expected to have a positive effect on grain size. These results will be helpful for breeding elite rice cultivars with high yields through additional fine mapping related to grain size.
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Affiliation(s)
- Jae-Ryoung Park
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Jeonghwan Seo
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Songhee Park
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Mina Jin
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - O-Young Jeong
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
| | - Hyun-Su Park
- Crop Breeding Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
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17
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Ma F, Zhang F, Zhu Y, Lan D, Yan P, Wang Y, Hu Z, Zhang X, Hu J, Niu F, Liu M, He S, Cui J, Yuan X, Yan Y, Wu S, Cao L, Bian H, Yang J, Li Z, Luo X. Auxin signaling module OsSK41-OsIAA10-OsARF regulates grain yield traits in rice. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023. [PMID: 36939166 DOI: 10.1111/jipb.13484] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 03/20/2023] [Indexed: 06/18/2023]
Abstract
Auxin is an important phytohormone in plants, and auxin signaling pathways in rice play key roles in regulating its growth, development, and productivity. To investigate how rice grain yield traits are regulated by auxin signaling pathways and to facilitate their application in rice improvement, we validated the functional relationships among regulatory genes such as OsIAA10, OsSK41, and OsARF21 that are involved in one of the auxin (OsIAA10) signaling pathways. We assessed the phenotypic effects of these genes on several grain yield traits across two environments using knockout and/or overexpression transgenic lines. Based on the results, we constructed a model that showed how grain yield traits were regulated by OsIAA10 and OsTIR1, OsAFB2, and OsSK41 and OsmiR393 in the OsSK41-OsIAA10-OsARF module and by OsARF21 in the transcriptional regulation of downstream auxin response genes in the OsSK41-OsIAA10-OsARF module. The population genomic analyses revealed rich genetic diversity and the presence of major functional alleles at most of these loci in rice populations. The strong differentiation of many major alleles between Xian/indica and Geng/japonica subspecies and/or among modern varieties and landraces suggested that they contributed to improved productivity during evolution and breeding. We identified several important aspects associated with the genetic and molecular bases of rice grain and yield traits that were regulated by auxin signaling pathways. We also suggested rice auxin response factor (OsARF) activators as candidate target genes for improving specific target traits by overexpression and/or editing subspecies-specific alleles and by searching and pyramiding the 'best' gene allelic combinations at multiple regulatory genes in auxin signaling pathways in rice breeding programs.
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Affiliation(s)
- Fuying Ma
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Fan Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, China
| | - Yu Zhu
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Dengyong Lan
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Peiwen Yan
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Ying Wang
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Zejun Hu
- Institute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Xinwei Zhang
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Jian Hu
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Fuan Niu
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- Institute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Mingyu Liu
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Shicong He
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Jinhao Cui
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Xinyu Yuan
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Ying Yan
- Institute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Shujun Wu
- Institute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Liming Cao
- Institute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Hongwu Bian
- Institute of Genetics and Regenerative Biology, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jinshui Yang
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Zhikang Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- College of Agronomy, Anhui Agricultural University, Hefei, 230036, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518100, China
| | - Xiaojin Luo
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
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18
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Zhao Q, Shi XS, Wang T, Chen Y, Yang R, Mi J, Zhang YW, Zhang YM. Identification of QTNs, QTN-by-environment interactions, and their candidate genes for grain size traits in main crop and ratoon rice. FRONTIERS IN PLANT SCIENCE 2023; 14:1119218. [PMID: 36818826 PMCID: PMC9933869 DOI: 10.3389/fpls.2023.1119218] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/13/2023] [Indexed: 05/10/2023]
Abstract
Although grain size is an important quantitative trait affecting rice yield and quality, there are few studies on gene-by-environment interactions (GEIs) in genome-wide association studies, especially, in main crop (MC) and ratoon rice (RR). To address these issues, the phenotypes for grain width (GW), grain length (GL), and thousand grain weight (TGW) of 159 accessions of MC and RR in two environments were used to associate with 2,017,495 SNPs for detecting quantitative trait nucleotides (QTNs) and QTN-by-environment interactions (QEIs) using 3VmrMLM. As a result, 64, 71, 67, 72, 63, and 56 QTNs, and 0, 1, 2, 2, 2, and 1 QEIs were found to be significantly associated with GW in MC (GW-MC), GL-MC, TGW-MC, GW-RR, GL-RR, and TGW-RR, respectively. 3, 4, 7, 2, 2, and 4 genes were found to be truly associated with the above traits, respectively, while 2 genes around the above QEIs were found to be truly associated with GL-RR, and one of the two known genes was differentially expressed under two soil moisture conditions. 10, 7, 1, 8, 4, and 3 candidate genes were found by differential expression and GO annotation analysis to be around the QTNs for the above traits, respectively, in which 6, 3, 1, 2, 0, and 2 candidate genes were found to be significant in haplotype analysis. The gene Os03g0737000 around one QEI for GL-MC was annotated as salt stress related gene and found to be differentially expressed in two cultivars with different grain sizes. Among all the candidate genes around the QTNs in this study, four were key, in which two were reported to be truly associated with seed development, and two (Os02g0626100 for GL-MC and Os02g0538000 for GW-MC) were new. Moreover, 1, 2, and 1 known genes, along with 8 additional candidate genes and 2 candidate GEIs, were found to be around QTNs and QEIs for GW, GL, and TGW, respectively in MC and RR joint analysis, in which 3 additional candidate genes were key and new. Our results provided a solid foundation for genetic improvement and molecular breeding in MC and RR.
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Affiliation(s)
- Qiong Zhao
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiao-Shi Shi
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Tian Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Ying Chen
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Rui Yang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Jiaming Mi
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
- *Correspondence: Ya-Wen Zhang, ; Jiaming Mi,
| | - Ya-Wen Zhang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
- *Correspondence: Ya-Wen Zhang, ; Jiaming Mi,
| | - Yuan-Ming Zhang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
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19
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Um TY, Hong SY, Han JS, Jung KH, Moon S, Choi BS, Basnet P, Chung YS, Lee SW, Yang WT, Kim DH. Gibberellic acid sensitive dwarf encodes an ARPC2 subunit that mediates gibberellic acid biosynthesis, effects to grain yield in rice. FRONTIERS IN PLANT SCIENCE 2022; 13:1027688. [PMID: 36618614 PMCID: PMC9813395 DOI: 10.3389/fpls.2022.1027688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
The plant hormone gibberellic acid (GA) is important for plant growth and productivity. Actin-related proteins (ARPs) also play central roles in plant growth, including cell elongation and development. However, the relationships between ARPs and GA signaling and biosynthesis are not fully understood. Here, we isolated OsGASD, encoding an ARP subunit from rice (Oryza sativa), using the Ac/Ds knockout system. The osgasd knockout (Ko) mutation reduced GA3 content in shoots as well as plant growth and height. However, GA application restored the plant height of the osgasd Ko mutant to a height similar to that of the wild type (WT). Rice plants overexpressing OsGASD (Ox) showed increased plant height and grain yield compared to the WT. Transcriptome analysis of flag leaves of OsGASD Ox and osgasd Ko plants revealed that OsGASD regulates cell development and the expression of elongation-related genes. These observations suggest that OsGASD is involved in maintaining GA homeostasis to regulate plant development, thereby affecting rice growth and productivity.
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Affiliation(s)
- Tae Young Um
- Department of Agriculture and Life Industry, Kangwon National University, Chuncheon, Republic of Korea
| | - So Yeon Hong
- College of Life Science and Natural Resources, Dong-A University, Busan, Republic of Korea
| | - Ji Sung Han
- College of Life Science and Natural Resources, Dong-A University, Busan, Republic of Korea
| | - Ki Hong Jung
- Graduate School of Green-Bio Science, Kyung Hee University, Yongin, Republic of Korea
| | - Sunok Moon
- Graduate School of Green-Bio Science, Kyung Hee University, Yongin, Republic of Korea
| | - Beom-Soon Choi
- Research Institute, NBIT Co., Ltd., Chuncheon, Republic of Korea
| | - Prakash Basnet
- Department of Agriculture and Life Industry, Kangwon National University, Chuncheon, Republic of Korea
| | - Young Soo Chung
- College of Life Science and Natural Resources, Dong-A University, Busan, Republic of Korea
| | - Seon Woo Lee
- College of Life Science and Natural Resources, Dong-A University, Busan, Republic of Korea
| | - Won Tae Yang
- College of Life Science and Natural Resources, Dong-A University, Busan, Republic of Korea
| | - Doh Hoon Kim
- College of Life Science and Natural Resources, Dong-A University, Busan, Republic of Korea
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20
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Aloryi KD, Okpala NE, Amo A, Bello SF, Akaba S, Tian X. A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice. FRONTIERS IN PLANT SCIENCE 2022; 13:1035851. [PMID: 36466247 PMCID: PMC9709451 DOI: 10.3389/fpls.2022.1035851] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/19/2022] [Indexed: 06/17/2023]
Abstract
Improving grain yield potential in rice is an important step toward addressing global food security challenges. The meta-QTL analysis offers stable and robust QTLs irrespective of the genetic background of mapping populations and phenotype environment and effectively narrows confidence intervals (CI) for candidate gene (CG) mining and marker-assisted selection improvement. To achieve these aims, a comprehensive bibliographic search for grain yield traits (spikelet fertility, number of grains per panicle, panicles number per plant, and 1000-grain weight) QTLs was conducted, and 462 QTLs were retrieved from 47 independent QTL research published between 2002 and 2022. QTL projection was performed using a reference map with a cumulative length of 2,945.67 cM, and MQTL analysis was conducted on 313 QTLs. Consequently, a total of 62 MQTLs were identified with reduced mean CI (up to 3.40 fold) compared to the mean CI of original QTLs. However, 10 of these MQTLs harbored at least six of the initial QTLs from diverse genetic backgrounds and environments and were considered the most stable and robust MQTLs. Also, MQTLs were compared with GWAS studies and resulted in the identification of 16 common significant loci modulating the evaluated traits. Gene annotation, gene ontology (GO) enrichment, and RNA-seq analyses of chromosome regions of the stable MQTLs detected 52 potential CGs including those that have been cloned in previous studies. These genes encode proteins known to be involved in regulating grain yield including cytochrome P450, zinc fingers, MADs-box, AP2/ERF domain, F-box, ubiquitin ligase domain protein, homeobox domain, DEAD-box ATP domain, and U-box domain. This study provides the framework for molecular dissection of grain yield in rice. Moreover, the MQTLs and CGs identified could be useful for fine mapping, gene cloning, and marker-assisted selection to improve rice productivity.
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Affiliation(s)
- Kelvin Dodzi Aloryi
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Nnaemeka Emmanuel Okpala
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Aduragbemi Amo
- Institute of Plant Breeding, Genetics and Genomics University of Georgia, Athens, GA, United States
| | - Semiu Folaniyi Bello
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Selorm Akaba
- School of Agriculture, University of Cape Coast, Cape Coast, Ghana
| | - Xiaohai Tian
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
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21
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Li F, Liu Y, Zhang X, Liu L, Yan Y, Ji X, Kong F, Zhao Y, Li J, Peng T, Sun H, Du Y, Zhao Q. Transcriptome and Metabolome Analyses Reveals the Pathway and Metabolites of Grain Quality Under Phytochrome B in Rice (Oryza sativa L.). RICE (NEW YORK, N.Y.) 2022; 15:52. [PMID: 36302917 PMCID: PMC9613846 DOI: 10.1186/s12284-022-00600-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Grain size and chalkiness is a critical agronomic trait affecting rice yield and quality. The application of transcriptomics to rice has widened the understanding of complex molecular responsive mechanisms, differential gene expression, and regulatory pathways under varying conditions. Similarly, metabolomics has also contributed drastically for rice trait improvements. As master regulators of plant growth and development, phys influence seed germination, vegetative growth, photoperiodic flowering, shade avoidance responses. OsPHYB can regulate a variety of plant growth and development processes, but little is known about the roles of rice gene OsPHYB in modulating grain development. RESULTS In this study, rice phytochrome B (OsPHYB) was edited using CRISPR/Cas9 technology. We found that OsPHYB knockout increased rice grain size and chalkiness, and increased the contents of amylose, free fatty acids and soluble sugar, while the gel consistency and contents of proteins were reduced in mutant grains. Furthermore, OsPHYB is involved in the regulation of grain size and chalk formation by controlling cell division and complex starch grain morphology. Transcriptomic analysis revealed that loss of OsPHYB function affects multiple metabolic pathways, especially enhancement of glycolysis, fatty acid, oxidative phosphorylation, and antioxidant pathways, as well as differential expression of starch and phytohormone pathways. An analysis of grain metabolites showed an increase in the free fatty acids and lysophosphatidylcholine, whereas the amounts of sugars, alcohols, amino acids and derivatives, organic acids, phenolic acids, alkaloids, nucleotides and derivatives, and flavonoids decreased, which were significantly associated with grain size and chalk formation. CONCLUSIONS Our study reveals that, OsPHYB plays an important regulatory role in the growth and development of rice grains, especially grain size and chalkiness. Furthermore, OsPHYB regulates grain size and chalkiness formation by affecting gene metabolism interaction network. Thus, this study not only revealed that OsPHYB plays a vital role in regulating grain size and chalkiness of rice but reveal new functions and highlighted the importance and value of OsPHYB in rice grain development and provide a new strategy for yield and quality improvement in rice breeding.
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Affiliation(s)
- Fei Li
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Ye Liu
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Xiaohua Zhang
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Lingzhi Liu
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Yun Yan
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Xin Ji
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Fanshu Kong
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Yafan Zhao
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Junzhou Li
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Ting Peng
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Hongzheng Sun
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China
| | - Yanxiu Du
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China.
| | - Quanzhi Zhao
- Henan Key Laboratory of Rice Biology, Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, No. 15, Longzihu University Park, Zhengdong New Area, Zhengzhou, China.
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22
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Li ZH, Wang SL, Zhu YJ, Fan YY, Huang DR, Zhu AK, Zhuang JY, Liang Y, Zhang ZH. Control of Grain Shape and Size in Rice by Two Functional Alleles of OsPUB3 in Varied Genetic Background. PLANTS (BASEL, SWITZERLAND) 2022; 11:2530. [PMID: 36235396 PMCID: PMC9571118 DOI: 10.3390/plants11192530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/20/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
Grain shape and size are key determinants of grain appearance quality and yield in rice. In our previous study, a grain shape QTL, qGS1-35.2, was fine-mapped using near-isogenic lines (NILs) derived from a cross between Zhenshan 97 (ZS97) and Milyang 46 (MY46). One annotated gene, OsPUB3, was found to be the most likely candidate gene. Here, knockout and overexpression experiments were performed to investigate the effects of OsPUB3 on grain shape and size. Four traits were tested, including grain length, grain width, grain weight, and the ratio of grain length to width. Knockout of OsPUB3 in NILZS97, NILMY46, and another rice cultivar carrying the OsPUB3MY46 allele all caused decreases in grain width and weight and increases in the ratio of grain length to width. Results also showed that the magnitude of the mutational effects varied depending on the target allele and the genetic background. Moreover, it was found that NILZS97 and NILMY46 carried different functional alleles of OsPUB3, causing differences in grain shape rather than grain weight. In the overexpression experiment, significant differences between transgenic-positive and transgenic-negative plants were detected in all four traits. These results indicate that OsPUB3 regulates grain shape and size through a complex mechanism and is a good target for deciphering the regulatory network of grain shape. This gene could be used to improve grain appearance quality through molecular breeding as well.
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Affiliation(s)
- Zhu-Hao Li
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
| | - Shi-Lin Wang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
| | - Yu-Jun Zhu
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
| | - Ye-Yang Fan
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
| | - De-Run Huang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
| | - Ai-Ke Zhu
- Nanchong Academy of Agricultural Sciences, Nanchong 637000, China
| | - Jie-Yun Zhuang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
| | - Yan Liang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
| | - Zhen-Hua Zhang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China
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23
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Luo C, Yan J, Liu W, Xu Y, Sun P, Wang M, Xie D, Jiang B. Genetic mapping and genome-wide association study identify BhYAB4 as the candidate gene regulating seed shape in wax gourd ( Benincasa hispida). FRONTIERS IN PLANT SCIENCE 2022; 13:961864. [PMID: 36161030 PMCID: PMC9493316 DOI: 10.3389/fpls.2022.961864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 07/06/2022] [Indexed: 06/16/2023]
Abstract
Wax gourd is an important vegetable crop of the Cucurbitaceae family. According to the shape and structure of the seed coat, the seeds of the wax gourd can be divided into bilateral and unilateral. Bilateral seeds usually germinate quickly and have a high germination rate than unilateral seeds. Thereby, wax gourd varieties with bilateral seeds are more welcomed by seed companies and growers. However, the genetic basis and molecular mechanism regulating seed shape remain unclear in the wax gourd. In this study, the genetic analysis demonstrated that the seed shape of wax gourd was controlled by a single gene, with bilateral dominant to unilateral. Combined with genetic mapping and genome-wide association study, Bhi04G000544 (BhYAB4), encoding a YABBY transcription factor, was identified as the candidate gene for seed shape determination in the wax gourd. A G/A single nucleotide polymorphism variation of BhYAB4 was detected among different germplasm resources, with BhYAB4G specifically enriched in bilateral seeds and BhYAB4A in unilateral seeds. The G to A mutation caused intron retention and premature stop codon of BhYAB4. Expression analysis showed that both BhYAB4G and BhYAB4A were highly expressed in seeds, while the nuclear localization of BhYAB4A protein was disturbed compared with that of BhYAB4G protein. Finally, a derived cleaved amplified polymorphic sequence marker that could efficiently distinguish between bilateral and unilateral seeds was developed, thereby facilitating the molecular marker-assisted breeding of wax gourd cultivars.
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Affiliation(s)
- Chen Luo
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, China
| | - Jinqiang Yan
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, China
| | - Wenrui Liu
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, China
| | - Yuanchao Xu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Piaoyun Sun
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, China
| | - Min Wang
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, China
| | - Dasen Xie
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, China
| | - Biao Jiang
- Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou, China
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Hwang OJ, Back K. Functional Characterization of Arylalkylamine N-Acetyltransferase, a Pivotal Gene in Antioxidant Melatonin Biosynthesis from Chlamydomonas reinhardtii. Antioxidants (Basel) 2022; 11:antiox11081531. [PMID: 36009250 PMCID: PMC9405056 DOI: 10.3390/antiox11081531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 11/28/2022] Open
Abstract
Arylalkylamine N-acetyltransferase (AANAT) is a pivotal enzyme in melatonin biosynthesis that catalyzes the conversion of serotonin to N-acetylserotonin. Homologs of animal AANAT genes are present in animals, but not in plants. An AANAT homolog was found in Chlamydomonas reinhardtii, but not other green algae. The characteristics of C. reinhardtii AANAT (CrAANAT) are unclear. Here, full-length CrAANAT was chemically synthesized and expressed in Escherichia coli. Recombinant CrAANAT exhibited AANAT activity with a Km of 247 μM and Vmax of 325 pmol/min/mg protein with serotonin as the substrate. CrAANAT was localized to the cytoplasm in tobacco leaf cells. Transgenic rice plants overexpressing CrAANAT (CrAANAT-OE) exhibited increased melatonin production. CrAANAT-OE plants showed a longer seed length and larger second leaf angle than wild-type plants, indicative of the involvement of brassinosteroids (BRs). As expected, BR biosynthesis- and signaling-related genes such as D2, DWARF4, DWARF11, and BZR1 were upregulated in CrAANAT-OE plants. Therefore, an increased endogenous melatonin level by ectopic overexpression of CrAANAT seems to be closely associated with BR biosynthesis, thereby influencing seed size.
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