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Li H, Wang Y, Qiao W, Zhu Z, Wang Z, Tian Y, Liu S, Wan J, Liu L. Identification of a novel locus qGW12/OsPUB23 regulating grain shape and weight in rice (Oryza sativa L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:267. [PMID: 39540992 DOI: 10.1007/s00122-024-04776-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024]
Abstract
KEY MESSAGE Key message A major quantitative trait locus (qGW12) for grain shape and weight has been isolated in rice, corresponding to LOC_Os12g17900/OsPUB23, and its encoded protein interacts with OsMADS1. Grain shape in rice is an important trait that influences both yield and quality. The primary determinants of grain shape are quantitative trait loci (QTLs) inherited from natural variation in crops. In recent years, much attention has been paid to the molecular role of QTLs in regulating grain shape and weight. In this study, we report the cloning and characterization of qGW12, a major QTL regulating grain shape and weight in rice, using a series of chromosome fragment substitution lines (CSSLs) derived from Oryza sativa indica cultivar 9311 (acceptor) and Oryza rufipogon Griff (donor). One CSSL line, Q187, harboring the introgression of qGW12, exhibited a significant decrease in grain-shape-related traits (including grain length and width) and thousand-grain weight compared to the cultivar 9311. Subsequent backcrossing of Q187 with 9311 resulted in the generation of secondary segregating populations, which were used to fine-map qGW12 to a 24-kb region between markers Seq-44 and Seq-48. Our data indicated that qGW12 encodes a previously unreported U-box type E3 ubiquitin ligase, designated OsPUB23, which exhibited E3 ubiquitin ligase activity. Overexpression of OsPUB23 in rice resulted in higher plant yield than the wild type due to an increase in grain size and weight. Conversely, loss of OsPUB23 function resulted in the opposite tendency. Yeast two-hybrid screening and split luciferase complementation assays revealed that OsPUB23 interacts with OsMADS1. The functional characterization of OsPUB23 provides new genetic resources for improving of grain yield and quality in crops.
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Affiliation(s)
- Hang Li
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China
| | - Yunpeng Wang
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China
| | - Weihua Qiao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Ze Zhu
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China
| | - Zhiyuan Wang
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China
| | - Yunlu Tian
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, 210095, China
| | - Shijia Liu
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, 210095, China
| | - Jianmin Wan
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China
- Zhongshan Biological Breeding Laboratory, Nanjing, 210095, China
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Linglong Liu
- State Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Nanjing National Field Scientific Observation and Research Station for Rice Germplasm, Key Laboratory of Biology, Genetics and Breeding of Japonica Rice in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Sanya Research Institute, Nanjing Agricultural University, Nanjing, 210095, China.
- Zhongshan Biological Breeding Laboratory, Nanjing, 210095, China.
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Wang Y, Chen W, Xing M, Sun J, Wang S, Yang Z, Huang J, Nie Y, Zhao M, Li Y, Guo W, Wang Y, Chen Z, Zhang Q, Hu J, Li Y, Huang K, Zheng X, Zhou L, Zhang L, Cheng Y, Qian Q, Yang Q, Qiao W. Wild rice GL12 synergistically improves grain length and salt tolerance in cultivated rice. Nat Commun 2024; 15:9453. [PMID: 39487109 PMCID: PMC11530696 DOI: 10.1038/s41467-024-53611-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 10/16/2024] [Indexed: 11/04/2024] Open
Abstract
The abounding variations in wild rice provided potential reservoirs of beneficial genes for rice breeding. Maintaining stable and high yields under environmental stresses is a long-standing goal of rice breeding but is challenging due to internal trade-off mechanisms. Here, we report wild rice GL12W improves grain length and salt tolerance in both indica and japonica genetic backgrounds. GL12W alters cell length by regulating grain size related genes including GS2, and positively regulates the salt tolerance related genes, such as NAC5, NCED3, under salt stresses. We find that a G/T variation in GL12 promoter determined its binding to coactivator GIF1 and transcription factor WRKY53. GIF1 promotes GL12W expression in young panicle and WRKY53 represses GL12W expression under salt stresses. The G/T variation also contributes to the divergence of indica and japonica subspecies. Our results provide useful resources for modern rice breeding and shed insights for understanding yield and salt tolerance trade-off mechanism.
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Affiliation(s)
- Yanyan Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
- Nanjing Institute of Agricultural Sciences in Jiangsu Hilly Area, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Wenxi Chen
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
| | - Meng Xing
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
| | - Jiaqiang Sun
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shizhuang Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ziyi Yang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jingfen Huang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
| | - Yamin Nie
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Mingchao Zhao
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
- Cereal Crop Institute, Hainan Agricultural Academy Sciences, Haikou, China
| | - Yapeng Li
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
- Cereal Crop Institute, Hainan Agricultural Academy Sciences, Haikou, China
| | - Wenlong Guo
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
| | - Yinting Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ziyi Chen
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qiaoling Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
| | - Jiang Hu
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
- China National Rice Research Institute, Hangzhou, 310006, China
| | - Yunhai Li
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Ke Huang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Xiaoming Zheng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China
| | - Leina Zhou
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lifang Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yunlian Cheng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Qian Qian
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
- China National Rice Research Institute, Hangzhou, 310006, China.
- Yazhouwan National Laboratory, Sanya, China.
| | - Qingwen Yang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China.
| | - Weihua Qiao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024, China.
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Surapaneni M, Balakrishnan D, Addanki K, Yadavalli VR, Kumar AP, Prashanthi P, Sundaram RM, Neelamraju S. Fine mapping of interspecific secondary CSSL populations revealed key regulators for grain weight at qTGW3.1 locus from Oryza nivara. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2024; 30:1145-1160. [PMID: 39100880 PMCID: PMC11291809 DOI: 10.1007/s12298-024-01483-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 06/14/2024] [Accepted: 06/28/2024] [Indexed: 08/06/2024]
Abstract
Grain weight (GW) is the most important stable trait that directly contributes to crop yield in case of cereals. A total of 105 backcross introgression lines (BC2F10 BILs) derived from Swarna/O. nivara IRGC81848 (NPS) and 90 BILs from Swarna/O. nivara IRGC81832 (NPK) were evaluated for thousand-grain weight (TGW) across four years (wet seasons 2014, 2015, 2016 and 2018) and chromosome segment substitution lines (CSSLs) were selected. From significant pair- wise mean comparison with Swarna, a total of 77 positively and 29 negatively significant NPS lines and 62 positively and 29 negatively significant NPK lines were identified. In all 4 years, 14 NPS lines and 9 NPK lines were positively significant and one-line NPS69 (IET22161) was negatively significant for TGW over Swarna consistently. NPS lines and NPK lines were genotyped using 111 and 140 polymorphic SSRs respectively. Quantitative trait locus (QTL) mapping using ICIM v4.2 software showed 13 QTLs for TGW in NPS. Three major effect QTLs qTGW2.1, qTGW8.1 and qTGW11.1 were identified in NPS for two or more years with PVE ranging from 8 to 14%. Likewise, 10 QTLs were identified in NPK and including two major effect QTL qTGW3.1 and qTGW12.1 with 6 to 32% PVE. In all QTLs, O. nivara alleles increased TGW. These consistent QTLs are very suitable for fine mapping and functional analysis of grain weight. Further in this study, CSSLs NPS1 (10-2S) and NPK61 (158 K) with significantly higher grain weight than the recurrent parent, Swarna cv. Oryza sativa were selected from each population and secondary F2 mapping populations were developed. Using Bulked Segregant QTL sequencing, a grain weight QTL, designated as qTGW3.1 was fine mapped from the cross between NPK61 and Swarna. This QTL explained 48% (logarithm of odds = 32.2) of the phenotypic variations and was fine mapped to a 31 kb interval using recombinant analysis. GRAS transcription factor gene (OS03go103400) involved in plant growth and development located at this genomic locus might be the candidate gene for qTGW3.1. The results of this study will help in further functional studies and improving the knowledge related to the molecular mechanism of grain weight in Oryza and lays a solid foundation for the breeding for high yield. Supplementary Information The online version contains supplementary material available at 10.1007/s12298-024-01483-0.
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Affiliation(s)
- Malathi Surapaneni
- ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, Telangana 500 030 India
| | - Divya Balakrishnan
- ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, Telangana 500 030 India
| | - Krishnamraju Addanki
- ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, Telangana 500 030 India
| | | | - Arun Prem Kumar
- ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, Telangana 500 030 India
| | - P. Prashanthi
- ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, Telangana 500 030 India
| | - R. M. Sundaram
- ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, Telangana 500 030 India
| | - Sarla Neelamraju
- ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, Telangana 500 030 India
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Yadavalli VR, Balakrishnan D, Surapaneni M, Addanki K, Mesapogu S, Beerelli K, Desiraju S, Voleti SR, Neelamraju S. Mapping QTLs for yield and photosynthesis-related traits in three consecutive backcross populations of Oryza sativa cultivar Cottondora Sannalu (MTU1010) and Oryza rufipogon. PLANTA 2022; 256:71. [PMID: 36070104 DOI: 10.1007/s00425-022-03983-3] [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: 02/11/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
Identification of trait enhancing QTLs for yield and photosynthesis-related traits in rice using interspecific mapping population and chromosome segment substitution lines derived from a cross between Oryza sativa and Oryza rufipogon. Wild rice contains novel genes which can help in improving rice yield. Common wild rice Oryza rufipogon is a known source for enhanced photosynthesis and yield-related traits. We developed BC2F2:3:4 mapping populations using O. rufipogon IC309814 with high photosynthetic rate as donor, and elite cultivar MTU1010 as recurrent parent. Evaluation of 238 BC2F2 families for 13 yield-related traits and 208 BC2F2 families for seven photosynthesis-related physiological traits resulted in identification of significantly different lines which performed better than MTU1010 for various yield contributing traits. 49 QTLs were identified for 13 yield traits and 7 QTLs for photosynthesis-related traits in BC2F2. In addition, 34 QTLs in BC2F3 and 26 QTLs in BC2F4 were also detected for yield traits.11 common QTLs were identified in three consecutive generations and their trait-increasing alleles were derived from O. rufipogon. Significantly, one major effect common QTL qTGW3.1 for thousand grain weight with average phenotypic variance 8.1% and one novel QTL qBM7.1 for biomass were identified. Photosynthesis-related QTLs qPN9.1, qPN12.1, qPN12.2 qSPAD1.1 and qSPAD6.1 showed additive effect from O. rufipogon. A set of 145 CSSLs were identified in BC2F2 which together represented 87% of O. rufipogon genome. In addition, 87 of the 145 CSSLs were significantly different than MTU1010 for at least one trait. The major effect QTLs can be fine mapped for gene discovery. CSSLs developed in this study are a good source of novel alleles from O. rufipogon in the background of Cottondora Sannalu for rapid improvement of any trait in rice.
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Affiliation(s)
- Venkateswara Rao Yadavalli
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Divya Balakrishnan
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
- Department of Plant Breeding and Genetics, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Malathi Surapaneni
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Krishnamraju Addanki
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Sukumar Mesapogu
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Kavitha Beerelli
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Subrahmanyam Desiraju
- Department of Plant Physiology, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Sitapati Rao Voleti
- Department of Plant Physiology, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Sarla Neelamraju
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
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Identifying QTLs for Grain Size in a Colossal Grain Rice ( Oryza sativa L.) Line, and Analysis of Additive Effects of QTLs. Int J Mol Sci 2022; 23:ijms23073526. [PMID: 35408887 PMCID: PMC8998697 DOI: 10.3390/ijms23073526] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 03/21/2022] [Accepted: 03/21/2022] [Indexed: 02/01/2023] Open
Abstract
Grain size is an important component of quality and harvest traits in the field of rice breeding. Although numerous quantitative trait loci (QTLs) of grain size in rice have been reported, the molecular mechanisms of these QTLs remain poorly understood, and further research on QTL observation and candidate gene identification is warranted. In our research, we developed a suite of F2 intercross populations from a cross of 9311 and CG. These primary populations were used to map QTLs conferring grain size, evaluated across three environments, and then subjected to bulked-segregant analysis-seq (BSA-seq). In total, 4, 11, 12 and 14 QTLs for grain length (GL), grain width (GW), 1000-grain weight (TGW), and length/width ratio (LWR), respectively, were detected on the basis of a single-environment analysis. In particular, over 200 splicing-related sites were identified by whole-genome sequencing, including one splicing-site mutation with G>A at the beginning of intron 4 on Os03g0841800 (qGL3.3), producing a smaller open reading frame, without the third and fourth exons. A previous study revealed that the loss-of-function allele caused by this splicing site can negatively regulate rice grain length. Furthermore, qTGW2.1 and qGW2.3 were new QTLs for grain width. We used the near-isogenic lines (NILs) of these GW QTLs to study their genetic effects on individuals and pyramiding, and found that they have additive effects on GW. In summary, these discoveries provide a valuable genetic resource, which will facilitate further study of the genetic polymorphism of new rice varieties in rice breeding.
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Qiao W, Wang Y, Xu R, Yang Z, Sun Y, Su L, Zhang L, Wang J, Huang J, Zheng X, Liu S, Tian Y, Chen L, Liu X, Lan J, Yang Q. A functional chromogen gene C from wild rice is involved in a different anthocyanin biosynthesis pathway in indica and japonica. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1531-1543. [PMID: 33688983 DOI: 10.1007/s00122-021-03787-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 02/01/2021] [Indexed: 06/12/2023]
Abstract
KEY MESSAGE: we identified a functional chromogen gene C from wild rice, providing a new insight of anthocyanin biosynthesis pathway in indica and japonica. Accumulation of anthocyanin is a desirable trait to be selected in rice domestication, but the molecular mechanism of anthocyanin biosynthesis in rice remains largely unknown. In this study, a novel allele of chromogen gene C, OrC1, from Oryza rufipongon was cloned and identified as a determinant regulator of anthocyanin biosynthesis. Although OrC1 functions in purple apiculus, leaf sheath and stigma in indica background, it only promotes purple apiculus in japonica. Transcriptome analysis revealed that OrC1 regulates flavonoid biosynthesis pathway and activates a few bHLH and WD40 genes of ternary MYB-bHLH-WD40 complex in indica. Differentially expressed genes and metabolites were found in the indica and japonica backgrounds, indicating that OrC1 activated the anthocyanin biosynthetic genes OsCHI, OsF3H and OsANS and produced six metabolites independently. Artificial selection and domestication of C1 gene in rice occurred on the coding region in the two subspecies independently. Our results reveal the regulatory system and domestication of C1, provide new insights into MYB transcript factor involved in anthocyanin biosynthesis, and show the potential of engineering anthocyanin biosynthesis in rice.
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Affiliation(s)
- Weihua Qiao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Yanyan Wang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Rui Xu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ziyi Yang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yan Sun
- Qingdao Agricultural University, Qingdao, China
| | - Long Su
- Qingdao Agricultural University, Qingdao, China
| | | | - Junrui Wang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jingfen Huang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaoming Zheng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shijia Liu
- Nanjing Agricultural University, Nanjing, China
| | - Yunlu Tian
- Nanjing Agricultural University, Nanjing, China
| | | | - Xi Liu
- Nanjing Agricultural University, Nanjing, China
| | - Jinhao Lan
- Qingdao Agricultural University, Qingdao, China.
| | - Qingwen Yang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
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Watt C, Zhou G, McFawn LA, Li C. Fine mapping qGL2H, a major locus controlling grain length in barley (Hordeum vulgare L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2095-2103. [PMID: 32193568 PMCID: PMC7311499 DOI: 10.1007/s00122-020-03579-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 03/12/2020] [Indexed: 05/08/2023]
Abstract
A major grain length QTL on chromosome 2H was fine mapped to a 140.9 Kb region containing three genes. Increasing yield is an important target for barley breeding programs. One approach to increase yield is by enhancing individual grain weights through the regulation of grain size. Fine mapping major grain size-related quantitative trait loci is necessary for future marker-assisted selection strategies, yet studies of this nature are limited in barley. In the present study, we utilised a doubled haploid population derived from two Australian malt barley varieties, Vlamingh and Buloke, coupled with extensive genotypic and phenotypic data from three independent environments. A major grain length locus identified on chromosome 2H designated qGL2H was fine mapped to a 140.9 Kb interval. qGL2H was able to account for 25.4% of the phenotypic variation for grain length and 10.2% for grain yield. Underlying qGL2H were three high-confidence predicted genes. One of these genes encodes a MYB transcription factor and represents a promising candidate for further genetic research.
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Affiliation(s)
- Calum Watt
- Western Barley Genetic Alliance, Murdoch University, Murdoch, WA, Australia
- Western Australian State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA, Australia
| | - Gaofeng Zhou
- Western Barley Genetic Alliance, Murdoch University, Murdoch, WA, Australia
- Western Australian State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA, Australia
| | - Lee-Anne McFawn
- Western Barley Genetic Alliance, Murdoch University, Murdoch, WA, Australia
- Department of Primary Industry and Regional Development, South Perth, WA, Australia
| | - Chengdao Li
- Western Barley Genetic Alliance, Murdoch University, Murdoch, WA, Australia.
- Western Australian State Agricultural Biotechnology Centre, Murdoch University, Murdoch, WA, Australia.
- Department of Primary Industry and Regional Development, South Perth, WA, Australia.
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Zhang L, Huang J, Wang Y, Xu R, Yang Z, Zhao Z, Liu S, Tian Y, Zheng X, Li F, Wang J, Song Y, Li J, Cui Y, Zhang LF, Cheng Y, Lan J, Qiao W, Yang Q. Identification and genetic analysis of qCL1.2, a novel allele of the "green revolution" gene SD1 from wild rice (Oryza rufipogon) that enhances plant height. BMC Genet 2020; 21:62. [PMID: 32527215 PMCID: PMC7291570 DOI: 10.1186/s12863-020-00868-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/28/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The exploitation of novel alleles from wild rice that were lost during rice cultivation could be very important for rice breeding and evolutionary studies. Plant height (PH) was a target of artificial selection during rice domestication and is still a target of modern breeding. The "green revolution" gene semi-dwarf 1 (SD1) were well documented and used in the past decades, allele from wild rice could provide new insights into the functions and evolution of this gene. RESULTS We identified a PH-related quantitative trait locus, qCL1.2,from wild riceusing a set of chromosome segment substitution lines. qCL1.2encodesa novel allele of SD1 gene. The wild allele of SD1 is a dominant locus that can significantly promote rice internode length by regulating the expression levels of genes involved in gibberellin biosynthesis and signal transduction. Nucleotide diversity and haplotype network analyses of the SD1 gene were performed using 2822 rice landraces. Two previously reported functional nucleotide polymorphisms clearly differentiated japonica and indica rice; however, they were not associated with PH selection. Other new functional nucleotide polymorphisms in the coding, but not promoter, regions were involved in PH selection during rice domestication. Our study increasesunderstanding of the rice SD1 gene and provides additional evidence of this gene's selection during rice domestication. CONCLUSIONS Our findings provide evidence thatSD1 gene from wild rice enhances plant height and new functional nucleotide polymorphisms of this gene were artificially selected during cultivated rice differentiation.
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Affiliation(s)
- Lizhen Zhang
- Qingdao Agricultural University, Qingdao, 266109, China.,Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jingfen Huang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.,Shanxi Agricultural University, Shanxi province, Taigu, China
| | - Yanyan Wang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Rui Xu
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Ziyi Yang
- Qingdao Agricultural University, Qingdao, 266109, China
| | - Zhigang Zhao
- Nanjing Agricultural University, Nanjing, 571100, China
| | - Shijia Liu
- Nanjing Agricultural University, Nanjing, 571100, China
| | - Yunlu Tian
- Nanjing Agricultural University, Nanjing, 571100, China
| | - Xiaoming Zheng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Fei Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Junrui Wang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yue Song
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jiaqi Li
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yongxia Cui
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Li-Fang Zhang
- Qingdao Agricultural University, Qingdao, 266109, China
| | - Yunlian Cheng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jinhao Lan
- Qingdao Agricultural University, Qingdao, 266109, China.
| | - Weihua Qiao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Qingwen Yang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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9
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Azizi P, Osman M, Hanafi MM, Sahebi M, Rafii MY, Taheri S, Harikrishna JA, Tarinejad AR, Mat Sharani S, Yusuf MN. Molecular insights into the regulation of rice kernel elongation. Crit Rev Biotechnol 2019; 39:904-923. [PMID: 31303070 DOI: 10.1080/07388551.2019.1632257] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
A large number of rice agronomic traits are complex, multi factorial and polygenic. As the mechanisms and genes determining grain size and yield are largely unknown, the identification of regulatory genes related to grain development remains a preeminent approach in rice genetic studies and breeding programs. Genes regulating cell proliferation and expansion in spikelet hulls and participating in endosperm development are the main controllers of rice kernel elongation and grain size. We review here and discuss recent findings on genes controlling rice grain size and the mechanisms, epialleles, epigenomic variation, and assessment of controlling genes using genome-editing tools relating to kernel elongation.
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Affiliation(s)
- P Azizi
- a Laboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia , Serdang , Malaysia.,b Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia , Serdang , Malaysia
| | - M Osman
- c Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia , Serdang , Malaysia
| | - M M Hanafi
- a Laboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia , Serdang , Malaysia.,b Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia , Serdang , Malaysia.,d Department of Land Management, Faculty of Agriculture, Universiti Putra Malaysia , Serdang , Malaysia
| | - M Sahebi
- b Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia , Serdang , Malaysia
| | - M Y Rafii
- b Laboratory of Climate-Smart Food Crop Production, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia , Serdang , Malaysia.,c Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia , Serdang , Malaysia
| | - S Taheri
- e Centre of Research in Biotechnology for Agriculture (CEBAR), University of Malaya , Kuala Lumpur , Malaysia
| | - J A Harikrishna
- e Centre of Research in Biotechnology for Agriculture (CEBAR), University of Malaya , Kuala Lumpur , Malaysia
| | - A R Tarinejad
- f Department of Biotechnology, Faculty of Agriculture, Azarbaijan Shahid Madani University , Tabriz , Iran
| | - S Mat Sharani
- g Malaysia Genome Institute , Jalan Bangi , Malaysia
| | - M N Yusuf
- g Malaysia Genome Institute , Jalan Bangi , Malaysia
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