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Kamble NU, Ghosh S, Petla BP, Achary RK, Gautam S, Rao V, Salvi P, Hazra A, Varshney V, Majee M. PROTEIN L-ISOASPARTYL METHYLTRANSFERASE protects enolase dysfunction by repairing isoaspartyl-induced damage and is positively implicated in agronomically important seed traits. Plant J 2024. [PMID: 38625788 DOI: 10.1111/tpj.16771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 03/27/2024] [Accepted: 03/31/2024] [Indexed: 04/18/2024]
Abstract
The protein-repairing enzyme (PRE) PROTEIN L-ISOASPARTYL METHYLTRANSFERASE (PIMT) influences seed vigor by repairing isoaspartyl-mediated protein damage in seeds. However, PIMTs function in other seed traits, and the mechanisms by which PIMT affects such seed traits are still poorly understood. Herein, through molecular, biochemical, and genetic studies using overexpression and RNAi lines in Oryza sativa and Arabidopsis thaliana, we demonstrate that PIMT not only affects seed vigor but also affects seed size and weight by modulating enolase (ENO) activity. We have identified ENO2, a glycolytic enzyme, as a PIMT interacting protein through Y2H cDNA library screening, and this interaction was further validated by BiFC and co-immunoprecipitation assay. We show that mutation or suppression of ENO2 expression results in reduced seed vigor, seed size, and weight. We also proved that ENO2 undergoes isoAsp modification that affects its activity in both in vivo and in vitro conditions. Further, using MS/MS analyses, amino acid residues that undergo isoAsp modification in ENO2 were identified. We also demonstrate that PIMT repairs such isoAsp modification in ENO2 protein, protecting its vital cellular functions during seed maturation and storage, and plays a vital role in regulating seed size, weight, and seed vigor. Taken together, our study identified ENO2 as a novel substrate of PIMT, and both ENO2 and PIMT in turn implicate in agronomically important seed traits.
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Affiliation(s)
- Nitin Uttam Kamble
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Shraboni Ghosh
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Bhanu Prakash Petla
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Rakesh Kumar Achary
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Shikha Gautam
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Venkateswara Rao
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Prafull Salvi
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Abhijit Hazra
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Vishal Varshney
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
| | - Manoj Majee
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, Delhi, 110067, New Delhi, India
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Singh G, Kaur N, Khanna R, Kaur R, Gudi S, Kaur R, Sidhu N, Vikal Y, Mangat GS. 2Gs and plant architecture: breaking grain yield ceiling through breeding approaches for next wave of revolution in rice ( Oryza sativa L.). Crit Rev Biotechnol 2024; 44:139-162. [PMID: 36176065 DOI: 10.1080/07388551.2022.2112648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 07/10/2022] [Accepted: 07/27/2022] [Indexed: 11/03/2022]
Abstract
Rice is a principal food crop for more than half of the global population. Grain number and grain weight (2Gs) are the two complex traits controlled by several quantitative trait loci (QTLs) and are considered the most critical components for yield enhancement in rice. Novel molecular biology and QTL mapping strategies can be utilized in dissecting the complex genetic architecture of these traits. Discovering the valuable genes/QTLs associated with 2Gs traits hidden in the rice genome and utilizing them in breeding programs may bring a revolution in rice production. Furthermore, the positional cloning and functional characterization of identified genes and QTLs may aid in understanding the molecular mechanisms underlying the 2Gs traits. In addition, knowledge of modern genomic tools aids the understanding of the nature of plant and panicle architecture, which enhances their photosynthetic activity. Rice researchers continue to combine important yield component traits (including 2Gs for the yield ceiling) by utilizing modern breeding tools, such as marker-assisted selection (MAS), haplotype-based breeding, and allele mining. Physical co-localization of GW7 (for grain weight) and DEP2 (for grain number) genes present on chromosome 7 revealed the possibility of simultaneous introgression of these two genes, if desirable allelic variants were found in the single donor parent. This review article will reveal the genetic nature of 2Gs traits and use this knowledge to break the yield ceiling by using different breeding and biotechnological tools, which will sustain the world's food requirements.
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Affiliation(s)
- Gurjeet Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Navdeep Kaur
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Renu Khanna
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Rupinder Kaur
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Santosh Gudi
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Rajvir Kaur
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Navjot Sidhu
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Yogesh Vikal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - G S Mangat
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
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Mahto A, Yadav A, P V A, Parida SK, Tyagi AK, Agarwal P. Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size. BMC Biol 2023; 21:91. [PMID: 37076907 PMCID: PMC10116700 DOI: 10.1186/s12915-023-01577-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 03/27/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND Rice grain size (GS) is an essential agronomic trait. Though several genes and miRNA modules influencing GS are known and seed development transcriptomes analyzed, a comprehensive compendium connecting all possible players is lacking. This study utilizes two contrasting GS indica rice genotypes (small-grained SN and large-grained LGR). Rice seed development involves five stages (S1-S5). Comparative transcriptome and miRNome atlases, substantiated with morphological and cytological studies, from S1-S5 stages and flag leaf have been analyzed to identify GS proponents. RESULTS Histology shows prolonged endosperm development and cell enlargement in LGR. Stand-alone and comparative RNAseq analyses manifest S3 (5-10 days after pollination) stage as crucial for GS enhancement, coherently with cell cycle, endoreduplication, and programmed cell death participating genes. Seed storage protein and carbohydrate accumulation, cytologically and by RNAseq, is shown to be delayed in LGR. Fourteen transcription factor families influence GS. Pathway genes for four phytohormones display opposite patterns of higher expression. A total of 186 genes generated from the transcriptome analyses are located within GS trait-related QTLs deciphered by a cross between SN and LGR. Fourteen miRNA families express specifically in SN or LGR seeds. Eight miRNA-target modules display contrasting expressions amongst SN and LGR, while 26 (SN) and 43 (LGR) modules are differentially expressed in all stages. CONCLUSIONS Integration of all analyses concludes in a "Domino effect" model for GS regulation highlighting chronology and fruition of each event. This study delineates the essence of GS regulation, providing scope for future exploits. The rice grain development database (RGDD) ( www.nipgr.ac.in/RGDD/index.php ; https://doi.org/10.5281/zenodo.7762870 ) has been developed for easy access of data generated in this paper.
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Affiliation(s)
- Arunima Mahto
- National Institute of Plant Genome Research, New Delhi, India
| | - Antima Yadav
- National Institute of Plant Genome Research, New Delhi, India
| | - Aswathi P V
- National Institute of Plant Genome Research, New Delhi, India
| | - Swarup K Parida
- National Institute of Plant Genome Research, New Delhi, India
| | - Akhilesh K Tyagi
- Interdisciplinary Centre for Plant Genomics and Department of Plant Molecular Biology, University of Delhi South Campus, New Delhi, India
| | - Pinky Agarwal
- National Institute of Plant Genome Research, New Delhi, India.
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4
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Li R, Chen Z, Zheng R, Chen Q, Deng J, Li H, Huang J, Liang C, Shi T. QTL mapping and candidate gene analysis for yield and grain weight/size in Tartary buckwheat. BMC Plant Biol 2023; 23:58. [PMID: 36703107 PMCID: PMC9878770 DOI: 10.1186/s12870-022-04004-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/14/2022] [Indexed: 06/18/2023]
Abstract
BACKGROUND Grain weight/size influences not only grain yield (GY) but also nutritional and appearance quality and consumer preference in Tartary buckwheat. The identification of quantitative trait loci (QTLs)/genes for grain weight/size is an important objective of Tartary buckwheat genetic research and breeding programs. RESULTS Herein, we mapped the QTLs for GY, 1000-grain weight (TGW), grain length (GL), grain width (GW) and grain length-width ratio (L/W) in four environments using 221 recombinant inbred lines (XJ-RILs) derived from a cross of 'Xiaomiqiao × Jinqiaomai 2'. In total, 32 QTLs, including 7 for GY, 5 for TGW, 6 for GL, 11 for GW and 3 for L/W, were detected and distributed in 24 genomic regions. Two QTL clusters, qClu-1-3 and qClu-1-5, located on chromosome Ft1, were revealed to harbour 7 stable major QTLs for GY (qGY1.2), TGW (qTGW1.2), GL (qGL1.1 and qGL1.4), GW (qGW1.7 and qGW1.10) and L/W (qL/W1.2) repeatedly detected in three and above environments. A total of 59 homologues of 27 known plant grain weight/size genes were found within the physical intervals of qClu-1-3 and qClu-1-5. Six homologues, FtBRI1, FtAGB1, FtTGW6, FtMADS1, FtMKK4 and FtANT, were identified with both non-synonymous SNP/InDel variations and significantly differential expression levels between the two parents, which may play important roles in Tatary buckwheat grain weight/size control and were chosen as core candidate genes for further investigation. CONCLUSIONS Two stable major QTL clusters related to grain weight/size and six potential key candidate genes were identified by homology comparison, SNP/InDel variations and qRT‒qPCR analysis between the two parents. Our research provides valuable information for improving grain weight/size and yield in Tartary buckwheat breeding.
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Affiliation(s)
- Ruiyuan Li
- Key Laboratory of Information and Computing Science of Guizhou Province, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Zhengfeng Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Ran Zheng
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Qingfu Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Jiao Deng
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Hongyou Li
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Juan Huang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Chenggang Liang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Taoxiong Shi
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
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5
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Liu C, Ma T, Yuan D, Zhou Y, Long Y, Li Z, Dong Z, Duan M, Yu D, Jing Y, Bai X, Wang Y, Hou Q, Liu S, Zhang J, Chen S, Li D, Liu X, Li Z, Wang W, Li J, Wei X, Ma B, Wan X. The OsEIL1-OsERF115-target gene regulatory module controls grain size and weight in rice. Plant Biotechnol J 2022; 20:1470-1486. [PMID: 35403801 PMCID: PMC9342608 DOI: 10.1111/pbi.13825] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 04/03/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
Grain size is one of the essential determinants of rice yield. Our previous studies revealed that ethylene plays an important role in grain-size control; however, the precise mechanism remains to be determined. Here, we report that the ethylene response factor OsERF115 functions as a key downstream regulator for ethylene-mediated grain development. OsERF115 encodes an AP2/ERF-type transcriptional factor that is specifically expressed in young spikelets and developing caryopses. Overexpression of OsERF115 significantly increases grain length, width, thickness and weight by promoting longitudinal elongation and transverse division of spikelet hull cells, as well as enhancing grain-filling activity, whereas its knockout mutations lead to the opposite effects, suggesting that OsERF115 positively regulates grain size and weight. OsERF115 transcription is strongly induced by ethylene, and OsEIL1 directly binds to the promoter to activate its expression. OsERF115 acts as a transcriptional repressor to directly or indirectly modulate a set of grain-size genes during spikelet growth and endosperm development. Importantly, haplotype analysis reveals that the SNP variations in the EIN3-binding sites of OsERF115 promoter are significantly associated with the OsERF115 expression levels and grain weight, suggesting that natural variations in the OsERF115 promoter contribute to grain-size diversity. In addition, the OsERF115 orthologues are identified only in grass species, implying a conserved and unique role in the grain development of cereal crops. Our results provide insights into the molecular mechanism of ethylene-mediated grain-size control and a potential strategy based on the OsEIL1-OsERF115-target gene regulatory module for genetic improvement of rice yield.
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Affiliation(s)
- Chang Liu
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Tian Ma
- Guangdong Laboratory for Lingnan Modern AgricultureCollege of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Dingyang Yuan
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CentreChangshaChina
- College of AgronomyHunan Agricultural UniversityChangshaChina
| | - Yang Zhou
- State Key Laboratory of Plant GenomicsInstitute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Yan Long
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Ziwen Li
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Zhenying Dong
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Meijuan Duan
- College of AgronomyHunan Agricultural UniversityChangshaChina
| | - Dong Yu
- College of AgronomyHunan Agricultural UniversityChangshaChina
| | - Yizhi Jing
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
| | - Xiaoyue Bai
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
| | - Yanbo Wang
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
| | - Quancan Hou
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Shuangshuang Liu
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Jin‐Song Zhang
- State Key Laboratory of Plant GenomicsInstitute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Shou‐Yi Chen
- State Key Laboratory of Plant GenomicsInstitute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Dayong Li
- National Engineering Research Center for VegetablesBeijing Vegetable Research CenterBeijing Academy of Agriculture and Forestry ScienceBeijingChina
| | - Xue Liu
- National Engineering Research Center for VegetablesBeijing Vegetable Research CenterBeijing Academy of Agriculture and Forestry ScienceBeijingChina
| | - Zhikang Li
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Wensheng Wang
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Jinping Li
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Xun Wei
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Biao Ma
- Guangdong Laboratory for Lingnan Modern AgricultureCollege of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Xiangyuan Wan
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
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6
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Li P, Chen YH, Lu J, Zhang CQ, Liu QQ, Li QF. Genes and Their Molecular Functions Determining Seed Structure, Components, and Quality of Rice. Rice (N Y) 2022; 15:18. [PMID: 35303197 PMCID: PMC8933604 DOI: 10.1186/s12284-022-00562-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 03/01/2022] [Indexed: 05/14/2023]
Abstract
With the improvement of people's living standards and rice trade worldwide, the demand for high-quality rice is increasing. Therefore, breeding high quality rice is critical to meet the market demand. However, progress in improving rice grain quality lags far behind that of rice yield. This might be because of the complexity of rice grain quality research, and the lack of consensus definition and evaluation standards for high quality rice. In general, the main components of rice grain quality are milling quality (MQ), appearance quality (AQ), eating and cooking quality (ECQ), and nutritional quality (NQ). Importantly, all these quality traits are determined directly or indirectly by the structure and composition of the rice seeds. Structurally, rice seeds mainly comprise the spikelet hull, seed coat, aleurone layer, embryo, and endosperm. Among them, the size of spikelet hull is the key determinant of rice grain size, which usually affects rice AQ, MQ, and ECQ. The endosperm, mainly composed of starch and protein, is the major edible part of the rice seed. Therefore, the content, constitution, and physicochemical properties of starch and protein are crucial for multiple rice grain quality traits. Moreover, the other substances, such as lipids, minerals, vitamins, and phytochemicals, included in different parts of the rice seed, also contribute significantly to rice grain quality, especially the NQ. Rice seed growth and development are precisely controlled by many genes; therefore, cloning and dissecting these quality-related genes will enhance our knowledge of rice grain quality and will assist with the breeding of high quality rice. This review focuses on summarizing the recent progress on cloning key genes and their functions in regulating rice seed structure and composition, and their corresponding contributions to rice grain quality. This information will facilitate and advance future high quality rice breeding programs.
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Affiliation(s)
- Pei Li
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/State Key Laboratory of Hybrid Rice, College of Agriculture, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Yu-Hao Chen
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/State Key Laboratory of Hybrid Rice, College of Agriculture, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Jun Lu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/State Key Laboratory of Hybrid Rice, College of Agriculture, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Chang-Quan Zhang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/State Key Laboratory of Hybrid Rice, College of Agriculture, Yangzhou University, Yangzhou, 225009, Jiangsu, China
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, Jiangsu, China
| | - Qiao-Quan Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/State Key Laboratory of Hybrid Rice, College of Agriculture, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
| | - Qian-Feng Li
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/State Key Laboratory of Hybrid Rice, College of Agriculture, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
- Co-Innovation Center for Modern Production Technology of Grain Crops of Jiangsu Province/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, 225009, Jiangsu, China.
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7
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Chen K, Łyskowski A, Jaremko Ł, Jaremko M. Genetic and Molecular Factors Determining Grain Weight in Rice. Front Plant Sci 2021; 12:605799. [PMID: 34322138 PMCID: PMC8313227 DOI: 10.3389/fpls.2021.605799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 06/22/2021] [Indexed: 05/06/2023]
Abstract
Grain weight is one of the major factors determining single plant yield production of rice and other cereal crops. Research has begun to reveal the regulatory mechanisms underlying grain weight as well as grain size, highlighting the importance of this research for plant molecular biology. The developmental trait of grain weight is affected by multiple molecular and genetic aspects that lead to dynamic changes in cell division, expansion and differentiation. Additionally, several important biological pathways contribute to grain weight, such as ubiquitination, phytohormones, G-proteins, photosynthesis, epigenetic modifications and microRNAs. Our review integrates early and more recent findings, and provides future perspectives for how a more complete understanding of grain weight can optimize strategies for improving yield production. It is surprising that the acquired wealth of knowledge has not revealed more insights into the underlying molecular mechanisms. To accelerating molecular breeding of rice and other cereals is becoming an emergent and critical task for agronomists. Lastly, we highlighted the importance of leveraging gene editing technologies as well as structural studies for future rice breeding applications.
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Affiliation(s)
- Ke Chen
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, China
| | - Andrzej Łyskowski
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Faculty of Chemistry, Rzeszow University of Technology, Rzeszow, Poland
| | - Łukasz Jaremko
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Mariusz Jaremko
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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8
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Verma A, Prakash G, Ranjan R, Tyagi AK, Agarwal P. Silencing of an Ubiquitin Ligase Increases Grain Width and Weight in indica Rice. Front Genet 2021; 11:600378. [PMID: 33510769 PMCID: PMC7835794 DOI: 10.3389/fgene.2020.600378] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 11/27/2020] [Indexed: 11/18/2022] Open
Abstract
Many quantitative trait loci (QTLs) have been identified by molecular genetic studies which control grain size by regulating grain width, length, and/or thickness. Grain width 2 (GW2) is one such QTL that codes for a RING-type E3 ubiquitin ligase and increases grain size by regulating grain width through ubiquitin-mediated degradation of unknown substrates. A natural variation (single-nucleotide polymorphism at the 346th position) in the functional domain-coding region of OsGW2 in japonica rice genotypes has been shown to cause an increase in grain width/weight in rice. However, this variation is absent in indica rice genotypes. In this study, we report that reduced expression of OsGW2 can alter grain size, even though natural sequence variation is not responsible for increased grain size in indica rice genotypes. OsGW2 shows high expression in seed development stages and the protein localizes to the nucleus and cytoplasm. Downregulation of OsGW2 by RNAi technology results in wider and heavier grains. Microscopic observation of grain morphology suggests that OsGW2 determines grain size by influencing both cell expansion and cell proliferation in spikelet hull. Using transcriptome analysis, upregulated genes related to grain size regulation have been identified among 1,426 differentially expressed genes in an OsGW2_RNAi transgenic line. These results reveal that OsGW2 is a negative regulator of grain size in indica rice and affects both cell number and cell size in spikelet hull.
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Affiliation(s)
- Ankit Verma
- National Institute of Plant Genome Research, New Delhi, India
| | - Geeta Prakash
- National Institute of Plant Genome Research, New Delhi, India.,Department of Botany, Gargi College, University of Delhi, New Delhi, India
| | - Rajeev Ranjan
- National Institute of Plant Genome Research, New Delhi, India.,Department of Plant Molecular Biology, University of Delhi, New Delhi, India
| | - Akhilesh K Tyagi
- National Institute of Plant Genome Research, New Delhi, India.,Department of Plant Molecular Biology, University of Delhi, New Delhi, India
| | - Pinky Agarwal
- National Institute of Plant Genome Research, New Delhi, India
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Watt C, Zhou G, Li C. Harnessing Transcription Factors as Potential Tools to Enhance Grain Size Under Stressful Abiotic Conditions in Cereal Crops. Front Plant Sci 2020; 11:1273. [PMID: 33013947 PMCID: PMC7461896 DOI: 10.3389/fpls.2020.01273] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 08/05/2020] [Indexed: 05/07/2023]
Abstract
Predicted climate change is widely cited to significantly reduce yields of the major cereal crop species in a period where demand is rapidly rising due to a growing global population. This requires exhaustive research to develop genetic resources in order to address the expected production deficiencies which will largely be driven by abiotic stress. Modification of multiple genes is an approach that can address the predicted challenges; however, it is time-consuming and costly to modify multiple genes simultaneously. Transcription factors represent a group of proteins regulating multiple genes simultaneously and are therefore promising targets to concurrently improve multiple traits concurrently, such as abiotic stress tolerance and grain size (a contributor to yield). Many studies have identified the complex role that transcription factors of multiple families have contributed toward abiotic stress tolerance or grain size, although research addressing both simultaneously is in its infancy despite its potential significance for cereal crop improvement. Here we discuss the potential role that transcription factors may contribute toward improving cereal crop productivity under adverse environmental conditions and offer research objectives that need to be addressed before the modification of transcription factors becomes routinely used to positively manipulate multiple target traits.
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