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Xin W, Chen N, Wang J, Liu Y, Sun Y, Han B, Wang X, Liu Z, Liu H, Zheng H, Yang L, Zou D, Wang J. Candidate gene analysis of rice grain shape based on genome-wide association study. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:241. [PMID: 39342533 DOI: 10.1007/s00122-024-04724-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 08/21/2024] [Indexed: 10/01/2024]
Abstract
KEY MESSAGE Thirteen QTLs associated with rice grain shape were localized by genome-wide association study. LOC_Os01g74020, the putative candidate gene in the co-localized QTL-qGSE1.2 interval, was identified and validated. Grain shape (GS) is a key trait that affects yield and quality of rice. Identifying and analyzing GS-related genes and elucidating the physiological, biochemical and molecular mechanisms are important for rice breeding. In this study, genome-wide association studies (GWAS) were conducted based on 1, 795, 076 single-nucleotide polymorphisms (SNPs) and three GS-related traits, grain length (GL), grain width (GW) and thousand-grain weight (TGW), in a natural population which comprised 374 rice varieties. A total of 13 quantitative trait locus (QTLs) related to GL, GW and TGW were identified, respectively, of which two QTLs (qGSE1.2 and qGSE5.3) were associated with both GL and TGW. A known key GS regulatory gene, GW5, was present in the interval of qGSE5.3. Based on the qRT-PCR results, LOC_Os01g74020 (OsGSE1.2) was identified as a GS candidate gene. Functional analysis of OsGSE1.2 showed that glume cell width and GW were significantly reduced, and that glume cell length, GL, TGW and single-plant yield were significantly increased in OsGSE1.2 knockout lines than those of wild type. OsGSE1.2 affects rice grain length by suppressing the elongation of glume cell and is a novel GS regulatory gene. These findings laid the foundation for molecular breeding to improve rice GS and increase rice yield and profitability.
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Affiliation(s)
- Wei Xin
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Ning Chen
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Jiaqi Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Yilei Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Yifeng Sun
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Baojia Han
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Xinghua Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Zijie Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Hualong Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Hongliang Zheng
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Luomiao Yang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Detang Zou
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China
| | - Jingguo Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Northeast Agricultural University, Ministry of Education, Harbin, 150030, China.
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Zebosi B, Vollbrecht E, Best NB. Brassinosteroid biosynthesis and signaling: Conserved and diversified functions of core genes across multiple plant species. PLANT COMMUNICATIONS 2024; 5:100982. [PMID: 38816993 DOI: 10.1016/j.xplc.2024.100982] [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: 03/13/2024] [Revised: 05/13/2024] [Accepted: 05/28/2024] [Indexed: 06/01/2024]
Abstract
Brassinosteroids (BRs) are important regulators that control myriad aspects of plant growth and development, including biotic and abiotic stress responses, such that modulating BR homeostasis and signaling presents abundant opportunities for plant breeding and crop improvement. Enzymes and other proteins involved in the biosynthesis and signaling of BRs are well understood from molecular genetics and phenotypic analysis in Arabidopsis thaliana; however, knowledge of the molecular functions of these genes in other plant species, especially cereal crop plants, is minimal. In this manuscript, we comprehensively review functional studies of BR genes in Arabidopsis, maize, rice, Setaria, Brachypodium, and soybean to identify conserved and diversified functions across plant species and to highlight cases for which additional research is in order. We performed phylogenetic analysis of gene families involved in the biosynthesis and signaling of BRs and re-analyzed publicly available transcriptomic data. Gene trees coupled with expression data provide a valuable guide to supplement future research on BRs in these important crop species, enabling researchers to identify gene-editing targets for BR-related functional studies.
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Affiliation(s)
- Brian Zebosi
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011, USA; Interdepartmental Genetics and Genomics Graduate Program, Iowa State University, Ames, IA 50011, USA
| | - Erik Vollbrecht
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011, USA; Interdepartmental Genetics and Genomics Graduate Program, Iowa State University, Ames, IA 50011, USA.
| | - Norman B Best
- USDA-ARS, Plant Genetics Research Unit, Columbia, MO 65201, USA.
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Zhang H, Huang DR, Shen Y, Niu XJ, Fan YY, Zhang ZH, Zhuang JY, Zhu YJ. GL5.2, a Quantitative Trait Locus for Rice Grain Shape, Encodes a RING-Type E3 Ubiquitin Ligase. PLANTS (BASEL, SWITZERLAND) 2024; 13:2521. [PMID: 39274005 PMCID: PMC11397561 DOI: 10.3390/plants13172521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 08/31/2024] [Accepted: 09/05/2024] [Indexed: 09/16/2024]
Abstract
Grain weight and grain shape are important traits that determine rice grain yield and quality. Mining more quantitative trait loci (QTLs) that control grain weight and shape will help to further improve the molecular regulatory network of rice grain development and provide gene resources for high-yield and high-quality rice varieties. In the present study, a QTL for grain length (GL) and grain width (GW), qGL5.2, was firstly fine-mapped into a 21.4 kb region using two sets of near-isogenic lines (NILs) derived from the indica rice cross Teqing (TQ) and IRBB52. In the NIL populations, the GL and ratio of grain length to grain width (RLW) of the IRBB52 homozygous lines increased by 0.16-0.20% and 0.27-0.39% compared with the TQ homozygous lines, but GW decreased by 0.19-0.75%. Then, by analyzing the grain weight and grain shape of the knock-out mutant, it was determined that the annotation gene Os05g0551000 encoded a RING-type E3 ubiquitin ligase, which was the cause gene of qGL5.2. The results show that GL and RLW increased by 2.44-5.48% and 4.19-10.70%, but GW decreased by 1.69-4.70% compared with the recipient. Based on the parental sequence analysis and haplotype analysis, one InDel variation located at -1489 in the promoter region was likely to be the functional site of qGL5.2. In addition, we also found that the Hap 5 (IRBB52-type) increased significantly in grain length and grain weight compared with other haplotypes, indicating that the Hap 5 can potentially be used in rice breeding to improve grain yield and quality.
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Affiliation(s)
- Hui Zhang
- Crop Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China
| | - De-Run Huang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
| | - Yi Shen
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310012, China
| | - Xiao-Jun Niu
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
| | - Ye-Yang Fan
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
| | - Zhen-Hua Zhang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
| | - Jie-Yun Zhuang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
| | - Yu-Jun Zhu
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
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Yan Y, Wang H, Bi Y, Wang J, Li D, Song F. A distinct protein posttranslational modifications-linked OsATL32-OsPPKL2-OsGSK2 loop modulates rice immunity against blast disease. THE NEW PHYTOLOGIST 2024; 243:2332-2350. [PMID: 39056291 DOI: 10.1111/nph.19999] [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: 05/20/2024] [Accepted: 07/06/2024] [Indexed: 07/28/2024]
Abstract
Protein posttranslational modifications play crucial roles in plant immunity through modulating a complicated signaling network mediated by different hormones. We previously demonstrated that OsATL32, an ATL-type E3 ligase, negatively contributes to rice immunity against Magnaporthe oryzae. Here, we show that OsATL32 forms a loop with OsPPKL2 and OsGSK2 through distinct protein posttranslational modifications to modulate rice immunity. OsATL32 ubiquitinates OsPPKL2, a protein phosphatase with Kelch-like repeat domains that exerts positive roles in regulating rice immunity against M. oryzae and chitin-triggered immune responses, for degradation. The glycogen synthase kinase 2 (OsGSK2), which acts as a negative regulator of rice immunity against M. oryzae and chitin-triggered immune responses, phosphorylates OsATL32 to elevate its protein stability and E3 ligase activity on OsPPKL2. Moreover, OsPPKL2 directly dephosphorylates OsGSK2, affecting its kinase activity on substrates including OsATL32 for phosphorylation. Like OsGSK2 as a BR signaling repressor, OsATL32 negatively regulates BR signaling; conversely, OsPPKL2 plays a positive role in BR signaling. These findings provide a molecular mechanism in which OsATL32 serves as a node connecting BR signaling and immunity by associating with OsPPKL2 and OsGSK2, assembling into a distinct protein posttranslational modifications-linked loop that functions in rice BR signaling and immunity.
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Affiliation(s)
- Yuqing Yan
- National Key Laboratory for Rice Biology and Breeding, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Hui Wang
- National Key Laboratory for Rice Biology and Breeding, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Yan Bi
- National Key Laboratory for Rice Biology and Breeding, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Jiajing Wang
- National Key Laboratory for Rice Biology and Breeding, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Dayong Li
- National Key Laboratory for Rice Biology and Breeding, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
| | - Fengming Song
- National Key Laboratory for Rice Biology and Breeding, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insect Pests, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China
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Prodhan ZH, Samonte SOPB, Sanchez DL, Talukder SK. Profiling and Improvement of Grain Quality Traits for Consumer Preferable Basmati Rice in the United States. PLANTS (BASEL, SWITZERLAND) 2024; 13:2326. [PMID: 39204762 PMCID: PMC11359321 DOI: 10.3390/plants13162326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 08/10/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
Basmati rice is a premium aromatic rice that consumers choose primarily because of its distinct aroma and excellent grain quality. The grain quality of Basmati rice (GQBR) reflects the perspectives of producers, processors, sellers, and consumers related to the production, processing, marketing, and consumption of Basmati rice. Consumers, an invaluable part of the production demand and value chain of the Basmati rice industry, have the freedom to choose from different types of aromatic rice. Consumers expect their preferred Basmati rice to possess all superior rice grain qualities, including the physical, biochemical, and physiological properties. Gene functional analysis explained that a 10-base pair deletion in the promoter region of the OsSPL16 gene causes the slender grains in Basmati rice, whereas an 8-base-pair deletion in exon 7 of the OsBadh2 gene (located in the fgr region on rice chromosome 8) results in the distinct aroma. Furthermore, a combination of the genetic characteristics of the gw8 and gs3 genes has led to the creation of a long-grain Basmati-type rice cultivar. It has also been demonstrated that agricultural, genetic, and environmental conditions significantly influence GQBR. Hence, research on improving GQBR requires a multidimensional approach and sophisticated elements due to the complexity of its nature and preference diversity. This review covers the basic definitions of grain quality traits, consumer preference criteria, influencing factors, and strategies for producing superior-quality Basmati rice in the United States. This knowledge will be useful in improving the grain quality of Basmati and Basmati-type rice, as well as developing appropriate breeding programs that will meet the preferences of different countries and cultures.
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Affiliation(s)
- Zakaria Hossain Prodhan
- Texas A&M AgriLife Research Center, 1509 Aggie Drive, Beaumont, TX 77713, USA; (D.L.S.); (S.K.T.)
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Alam M, Lou G, Abbas W, Osti R, Ahmad A, Bista S, Ahiakpa JK, He Y. Improving Rice Grain Quality Through Ecotype Breeding for Enhancing Food and Nutritional Security in Asia-Pacific Region. RICE (NEW YORK, N.Y.) 2024; 17:47. [PMID: 39102064 DOI: 10.1186/s12284-024-00725-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 07/28/2024] [Indexed: 08/06/2024]
Abstract
Rice grain is widely consumed as a staple food, providing essential nutrition for households, particularly marginalized families. It plays a crucial role in ensuring food security, promoting human nutrition, supporting good health, and contributing to global food and nutritional security. Addressing the diverse quality demands of emerging diverse and climate-risked population dietary needs requires the development of a single variety of rice grain that can meet the various dietary and nutritional requirements. However, there is a lack of concrete definition for rice grain quality, making it challenging to cater to the different demands. The lack of sufficient genetic study and development in improving rice grain quality has resulted in widespread malnutrition, hidden hunger, and micronutrient deficiencies affecting a significant portion of the global population. Therefore, it is crucial to identify genetically evolved varieties with marked qualities that can help address these issues. Various factors account for the declining quality of rice grain and requires further study to improve their quality for healthier diets. We characterized rice grain quality using Lancastrians descriptor and a multitude of intrinsic and extrinsic quality traits. Next, we examined various components of rice grain quality favored in the Asia-Pacific region. This includes preferences by different communities, rice industry stakeholders, and value chain actors. We also explored the biological aspects of rice grain quality in the region, as well as specific genetic improvements that have been made in these traits. Additionally, we evaluated the factors that can influence rice grain quality and discussed the future directions for ensuring food and nutritional security and meeting consumer demands for grain quality. We explored the diverse consumer bases and their varied preferences in Asian-Pacific countries including India, China, Nepal, Bhutan, Vietnam, Sri Lanka, Pakistan, Thailand, Cambodia, Philippines, Bangladesh, Indonesia, Korea, Myanmar and Japan. The quality preferences encompassed a range of factors, including rice head recovery, grain shape, uniform size before cooking, gelatinization, chalkiness, texture, amylose content, aroma, red-coloration of grain, soft and shine when cooked, unbroken when cooked, gelatinization, less water required for cooking, gelatinization temperature (less cooking time), aged rice, firm and dry when cooked (gel consistency), extreme white, soft when chewed, easy-to-cook rice (parboiled rice), vitamins, and minerals. These preferences were evaluated across high, low, and medium categories. A comprehensive analysis is provided on the enhancement of grain quality traits, including brown rice recovery, recovery rate of milled rice, head rice recovery, as well as morphological traits such as grain length, grain width, grain length-width ratio, and grain chalkiness. We also explored the characteristics of amylose, gel consistency, gelatinization temperature, viscosity, as well as the nutritional qualities of rice grains such as starch, protein, lipids, vitamins, minerals, phytochemicals, and bio-fortification potential. The various factors that impact the quality of rice grains, including pre-harvest, post-harvest, and genotype considerations were explored. Additionally, we discussed the future direction and genetic strategies to effectively tackle these challenges. These qualitative characteristics represent the fundamental focus of regional and national breeding strategies employed by different countries to meet consumer preference. Given the significance of rice as a staple food in Asia-Pacific countries, it is primarily consumed domestically, with only a small portion being exported internationally. All the important attributes must be clearly defined within specific parameters. It is crucial for geneticists and breeders to develop a rice variety that can meet the diverse demands of consumers worldwide by incorporating multiple desirable traits. Thus, the goal of addressing global food and nutritional security, and human healthy can be achieved.
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Affiliation(s)
- Mufid Alam
- National Key Laboratory of Crop Genetic Improvement and National Center of Crop Molecular Breeding, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Guangming Lou
- National Key Laboratory of Crop Genetic Improvement and National Center of Crop Molecular Breeding, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Waseem Abbas
- National Key Laboratory of Crop Genetic Improvement and National Center of Crop Molecular Breeding, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Rajani Osti
- College of Humanities and Social Sciences, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Aqeel Ahmad
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Science (CAS), Beijing, China
| | - Sunita Bista
- Sichuan Agricultural University, Chengdu, Sichuan, China
| | - John K Ahiakpa
- National Key Laboratory of Germplasm Innovation and Utilization of Horticultural Crops, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement and National Center of Crop Molecular Breeding, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
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Shen Y, Huang D, Zhang Z, Fan Y, Sheng Z, Zhuang J, Shen B, Zhu Y. Dissection and Fine-Mapping of Two QTL Controlling Grain Size Linked in a 515.6-kb Region on Chromosome 10 of Rice. PLANTS (BASEL, SWITZERLAND) 2024; 13:2054. [PMID: 39124172 PMCID: PMC11314457 DOI: 10.3390/plants13152054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/13/2024] [Accepted: 07/24/2024] [Indexed: 08/12/2024]
Abstract
Grain size is a primary determinant of grain weight, which is one of the three essential components of rice grain yield. Mining the genes that control grain size plays an important role in analyzing the regulation mechanism of grain size and improving grain appearance quality. In this study, two closely linked quantitative trait loci (QTL) controlling grain size, were dissected and fine-mapped in a 515.6-kb region on the long arm of chromosome 10 by using six near isogenic line populations. One of them, qGS10.2, which controlled 1000 grain weight (TGW) and grain width (GW), was delimited into a 68.1-kb region containing 14 annotated genes. The Teqing allele increased TGW and GW by 0.17 g and 0.011 mm with the R2 of 12.7% and 11.8%, respectively. The other one, qGL10.2, which controlled grain length (GL), was delimited into a 137.3-kb region containing 22 annotated genes. The IRBB52 allele increased GL by 0.018 mm with the R2 of 6.8%. Identification of these two QTL provides candidate regions for cloning of grain size genes.
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Affiliation(s)
- Yi Shen
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310012, China;
| | - Derun Huang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; (D.H.); (Z.Z.); (Y.F.); (J.Z.)
| | - Zhenhua Zhang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; (D.H.); (Z.Z.); (Y.F.); (J.Z.)
| | - Yeyang Fan
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; (D.H.); (Z.Z.); (Y.F.); (J.Z.)
| | - Zhonghua Sheng
- Jiangxi Early-Season Rice Research Centre, China National Rice Research Institute, Hangzhou 310006, China;
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; (D.H.); (Z.Z.); (Y.F.); (J.Z.)
| | - Jieyun Zhuang
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; (D.H.); (Z.Z.); (Y.F.); (J.Z.)
| | - Bo Shen
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310012, China;
| | - Yujun Zhu
- Jiangxi Early-Season Rice Research Centre, China National Rice Research Institute, Hangzhou 310006, China;
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 310006, China; (D.H.); (Z.Z.); (Y.F.); (J.Z.)
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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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Gao J, Gao L, Chen W, Huang J, Qing D, Pan Y, Ma C, Wu H, Zhou W, Li J, Yang X, Dai G, Deng G. Genetic Effects of Grain Quality Enhancement in Indica Hybrid Rice: Insights for Molecular Design Breeding. RICE (NEW YORK, N.Y.) 2024; 17:39. [PMID: 38874692 PMCID: PMC11178727 DOI: 10.1186/s12284-024-00719-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 06/04/2024] [Indexed: 06/15/2024]
Abstract
Improving rice quality remains a crucial breeding objective, second only to enhancing yield, yet progress in quality improvement lags behind yield. The high temperature and ripening conditions in Southern China often result in poor rice quality, impacting hybrid rice production and utilization. Therefore, to address this challenge, analyzing the molecular basis of high-quality traits is essential for molecular design breeding of high-quality hybrid rice varieties. In this study, we investigated the molecular basis of grain shape, amylose content, gel consistency, gelatinization temperature, and aroma, which influence rice quality. We discovered that quality related alleles gs3, GW7TFA, gw8, chalk5, Wxb, ALKTT, and fgr can enhance rice quality when applied in breeding programs. Polymerization of gs3, GW7TFA, gw8, and chalk5 genes improves rice appearance quality. The gs3 and GW7TFA allele polymerization increasing the grain's length-width ratio, adding the aggregation of gw8 allele can further reducing grain width. The chalk5 gene regulates low chalkiness, but low correlation to chalkiness was exhibited with grain widths below 2.0 mm, with minimal differences between Chalk5 and chalk5 alleles. Enhancing rice cooking and eating quality is achieved through Wxb and ALKTT gene polymerization, while introducing the fgr(E7) gene significantly improved rice aroma. Using molecular marker-assisted technology, we aggregated these genes to develop a batch of indica hybrid rice parents with improved rice quality are obtained. Cross-combining these enhanced parents can generate new, high-quality hybrid rice varieties suitable for cultivation in Southern China. Therefore, our findings contribute to a molecular breeding model for grain quality improvement in high-quality indica hybrid rice. This study, along with others, highlights the potential of molecular design breeding for enhancing complex traits, particularly rice grain quality.
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Affiliation(s)
- Ju Gao
- Guangxi Crop Genetic Improvement and Biotechnology Laboratory, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Lijun Gao
- Guangxi Crop Genetic Improvement and Biotechnology Laboratory, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Weiwei Chen
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Juan Huang
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Dongjin Qing
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Yinghua Pan
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Chonglie Ma
- Guangxi Crop Genetic Improvement and Biotechnology Laboratory, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Hao Wu
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Weiyong Zhou
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Jingcheng Li
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Xinghai Yang
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China
| | - Gaoxing Dai
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China.
| | - Guofu Deng
- Rice Research Institute, Guangxi Key Laboratory of Rice Genetics and Breeding, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China.
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10
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Huang K, Wang Y, Li Y, Zhang B, Zhang L, Duan P, Xu R, Wang D, Liu L, Zhang G, Zhang H, Wang C, Guo N, Hao J, Luo Y, Zhu X, Li Y. Modulation of histone acetylation enables fully mechanized hybrid rice breeding. NATURE PLANTS 2024; 10:954-970. [PMID: 38831046 DOI: 10.1038/s41477-024-01720-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 05/08/2024] [Indexed: 06/05/2024]
Abstract
Hybrid rice has achieved high grain yield and greatly contributes to food security, but the manual-labour-intensive hybrid seed production process limits fully mechanized hybrid rice breeding. For next-generation hybrid seed production, the use of small-grain male sterile lines to mechanically separate small hybrid seeds from mixed harvest is promising. However, it is difficult to find ideal grain-size genes for breeding ideal small-grain male sterile lines without penalties in the number of hybrid seeds and hybrid rice yield. Here we report that the use of small-grain alleles of the ideal grain-size gene GSE3 in male sterile lines enables fully mechanized hybrid seed production and dramatically increases hybrid seed number in three-line and two-line hybrid rice systems. The GSE3 gene encodes a histone acetyltransferase that binds histones and influences histone acetylation levels. GSE3 is recruited by the transcription factor GS2 to the promoters of their co-regulated grain-size genes and influences the histone acetylation status of their co-regulated genes. Field trials demonstrate that genome editing of GSE3 can be used to immediately improve current elite male sterile lines of hybrid rice for fully mechanized hybrid rice breeding, providing a new perspective for mechanized hybrid breeding in other crops.
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Affiliation(s)
- Ke Huang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Hainan Seed Industry Laboratory, Sanya, China
| | - Yuexing Wang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China
| | - Yingjie Li
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- Hainan Seed Industry Laboratory, Sanya, China
| | - Baolan Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Limin Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Penggen Duan
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Ran Xu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Dekai Wang
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, China
| | - Lijie Liu
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agriculture, University of Chinese Academy of Sciences, Beijing, China
| | - Guozheng Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Hao Zhang
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agriculture, University of Chinese Academy of Sciences, Beijing, China
| | - Chenjie Wang
- School of Breeding and Multiplication, Hainan University, Sanya, China
| | - Nian Guo
- School of Breeding and Multiplication, Hainan University, Sanya, China
| | - Jianqin Hao
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yuehua Luo
- School of Breeding and Multiplication, Hainan University, Sanya, China
| | - Xudong Zhu
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, China.
| | - Yunhai Li
- Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
- College of Advanced Agriculture, University of Chinese Academy of Sciences, Beijing, China.
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11
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Zhou Y, Yang H, Liu E, Liu R, Alam M, Gao H, Gao G, Zhang Q, Li Y, Xiong L, He Y. Fine Mapping of Five Grain Size QTLs Which Affect Grain Yield and Quality in Rice. Int J Mol Sci 2024; 25:4149. [PMID: 38673733 PMCID: PMC11050437 DOI: 10.3390/ijms25084149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
Grain size is a quantitative trait with a complex genetic mechanism, characterized by the combination of grain length (GL), grain width (GW), length to width ration (LWR), and grain thickness (GT). In this study, we conducted quantitative trait loci (QTL) analysis to investigate the genetic basis of grain size using BC1F2 and BC1F2:3 populations derived from two indica lines, Guangzhan 63-4S (GZ63-4S) and TGMS29 (core germplasm number W240). A total of twenty-four QTLs for grain size were identified, among which, three QTLs (qGW1, qGW7, and qGW12) controlling GL and two QTLs (qGW5 and qGL9) controlling GW were validated and subsequently fine mapped to regions ranging from 128 kb to 624 kb. Scanning electron microscopic (SEM) analysis and expression analysis revealed that qGW7 influences cell expansion, while qGL9 affects cell division. Conversely, qGW1, qGW5, and qGW12 promoted both cell division and expansion. Furthermore, negative correlations were observed between grain yield and quality for both qGW7 and qGW12. Nevertheless, qGW5 exhibited the potential to enhance quality without compromising yield. Importantly, we identified two promising QTLs, qGW1 and qGL9, which simultaneously improved both grain yield and quality. In summary, our results laid the foundation for cloning these five QTLs and provided valuable resources for breeding rice varieties with high yield and superior quality.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Yuqing He
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; (Y.Z.); (H.Y.); (E.L.); (R.L.); (M.A.); (H.G.); (G.G.); (Q.Z.); (Y.L.); (L.X.)
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12
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Yan Y, Zhu X, Qi H, Zhang H, He J. Regulatory mechanism and molecular genetic dissection of rice ( Oryza sativa L.) grain size. Heliyon 2024; 10:e27139. [PMID: 38486732 PMCID: PMC10938125 DOI: 10.1016/j.heliyon.2024.e27139] [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: 10/25/2023] [Revised: 02/18/2024] [Accepted: 02/25/2024] [Indexed: 03/17/2024] Open
Abstract
With the sharp increase of the global population, adequate food supply is a great challenge. Grain size is an essential determinant of rice yield and quality. It is a typical quantitative trait controlled by multiple genes. In this paper, we summarized the quantitative trait loci (QTL) that have been molecularly characterized and provided a comprehensive summary of the regulation mechanism and genetic pathways of rice grain size. These pathways include the ubiquitin-proteasome system, G-protein, mitogen-activated protein kinase, phytohormone, transcriptional factors, abiotic stress. In addition, we discuss the possible application of advanced molecular biology methods and reasonable breeding strategies, and prospective on the development of high-yielding and high-quality rice varieties using molecular biology techniques.
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Affiliation(s)
- Yuntao Yan
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
| | - Xiaoya Zhu
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
| | - Hui Qi
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
- Hunan Institute of Nuclear Agricultural Science and Space Breeding, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Haiqing Zhang
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
| | - Jiwai He
- College of Agronomy, Hunan Agricultural University, Changsha 420128, China
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13
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Yin M, Tong X, Yang J, Cheng Y, Zhou P, Li G, Wang Y, Ying J. Dissecting the Genetic Basis of Yield Traits and Validation of a Novel Quantitative Trait Locus for Grain Width and Weight in Rice. PLANTS (BASEL, SWITZERLAND) 2024; 13:770. [PMID: 38592774 PMCID: PMC10975080 DOI: 10.3390/plants13060770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/29/2024] [Accepted: 03/06/2024] [Indexed: 04/11/2024]
Abstract
Grain yield in rice is a complex trait and it is controlled by a number of quantitative trait loci (QTL). To dissect the genetic basis of rice yield, QTL analysis for nine yield traits was performed using an F2 population containing 190 plants, which was developed from a cross between Youyidao (YYD) and Sanfenhe (SFH), and each plant in the population evaluated with respect to nine yield traits. In this study, the correlations among the nine yield traits were analyzed. The grain yield per plant positively correlated with six yield traits, except for grain length and grain width, and showed the highest correlation coefficient of 0.98 with the number of filled grains per plant. A genetic map containing 133 DNA markers was constructed and it spanned 1831.7 cM throughout 12 chromosomes. A total of 36 QTLs for the yield traits were detected on nine chromosomes, except for the remaining chromosomes 5, 8, and 9. The phenotypic variation was explained by a single QTL that ranged from 6.19% to 36.01%. Furthermore, a major QTL for grain width and weight, qGW2-1, was confirmed to be newly identified and was narrowed down to a relatively smaller interval of about ~2.94-Mb. Collectively, we detected a total of 36 QTLs for yield traits and a major QTL, qGW2-1, was confirmed to control grain weight and width, which laid the foundation for further map-based cloning and molecular design breeding in rice.
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Affiliation(s)
| | | | | | | | | | | | | | - Jiezheng Ying
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China; (M.Y.); (J.Y.); (Y.C.); (P.Z.); (G.L.); (Y.W.)
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14
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Yun P, Zhang C, Ma T, Xia J, Zhou K, Wang Y, Li Z. Identification of qGL4.1 and qGL4.2, two closely linked QTL controlling grain length in rice. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2024; 44:11. [PMID: 38304382 PMCID: PMC10828150 DOI: 10.1007/s11032-024-01447-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/03/2024] [Indexed: 02/03/2024]
Abstract
Grain size is an important appearance quality trait in rice, which also affects grain yield. In this study, a recombinant inbred line (RIL) population derived from a cross between indica variety 9311 and japonica variety Cypress was constructed. And 181 out of 600 RILs were sequenced, and a high-density genetic map containing 2842 bin markers was constructed, with a total map length of 1500.6 cM. A total of 10 quantitative trait loci (QTL) related to grain length (GL), grain width (GW), grain length-to-width ratio (LWR), and 1000-grain weight (TGW) were detected under two environments. The genetic effect of qGL4, a minor QTL for GL and TGW, was validated using three heterogeneous inbred family (HIF) segregation populations. It was further dissected into two closed linked QTL, qGL4.1 and qGL4.2. By progeny testing, qGL4.1 and qGL4.2 were successfully delimited to intervals of 1304-kb and 423-kb, respectively. Our results lay the foundation for the map-based cloning of qGL4.1 and qGL4.2 and provide new gene resources for the improvement of grain yield and quality in rice. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-024-01447-y.
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Affiliation(s)
- Peng Yun
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Caijuan Zhang
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Tingchen Ma
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Jiafa Xia
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Kunneng Zhou
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Yuanlei Wang
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
| | - Zefu Li
- Rice Research Institute/Key Laboratory of Rice Genetics and Breeding of Anhui Province, Anhui Academy of Agricultural Sciences, Hefei, 230031 China
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15
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Niu J, Wang F, Yang C, Ye Q, Huang J, La Y, Wang Q, Dai J, Hu T, Sang L, Zhang P, Zou Y, Zhai Z, Jin J, Abdulmajid D, Guo J, Chen H, La H. Identification of Increased Grain Length 1 (IGL1), a novel gene encoded by a major QTL for modulating grain length in rice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:24. [PMID: 38236415 DOI: 10.1007/s00122-023-04531-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 12/15/2023] [Indexed: 01/19/2024]
Abstract
KEY MESSAGE A novel quantitative trait locus qIGL1, which performed a positive function in regulating grain length in rice, was cloned by the map-based cloning approach; further studies revealed that it corresponded to LOC_Os03g30530, and the IGL1 appeared to contribute to lengthening and widening of the cells on the surface of grain hulls. Grain length is a prominent determinant for grain weight and appearance quality of rice. In this study, we conducted quantitative trait locus mapping to determine a genomic interval responsible for a long-grain phenotype observed in a japonica cultivar HD385. This led to the identification of a novel QTL for grain length on chromosome 3, named qIGL1 (for Increased Grain Length 1); the HD385 (Handao 385)-derived allele showed enhancement effects on grain length, and such an allele as well as NIP (Nipponbare)-derived allele was designated qigl1 HD385 and qIGL1NIP, respectively. Genetic analysis revealed that the qigl1HD385 allele displayed semidominant effects on grain length. Fine mapping further narrowed down the qIGL1 to an ~ 70.8-kb region containing 9 open reading frames (ORFs). A comprehensive analysis indicated that LOC_Os03g30530, which corresponded to ORF6 and carried base substitutions and deletions in HD385 relative to NIP, thereby causing changes or losses of amino-acid residues, was the true gene for qIGL1. Comparison of grain traits between a pair of near-isogenic lines (NILs), termed NIL-igl1HD385 and NIL-IGL1NIP, discovered that introduction of the igl1HD385 into the NIP background significantly resulted in the elevations of grain length and 1000-grain weight. Closer inspection of grain surfaces revealed that the cell length and width in the longitudinal direction were significantly longer and greater, respectively, in NIL-igl1HD385 line compared with in NIL-IGL1NIP line. Hence, our studies identified a new semidominant natural allele contributing to the increase of grain length and further shed light on the regulatory mechanisms of grain length.
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Affiliation(s)
- Jiayu Niu
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Fei Wang
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Chengcheng Yang
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Qiwen Ye
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Jingxian Huang
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yumei La
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Qianqian Wang
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Jie Dai
- Academy for Advanced Interdisciplinary Studies, College of Engineering, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Tiange Hu
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Liran Sang
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Peijiang Zhang
- Anhui Province Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230041, Anhui, China
| | - Yu Zou
- Anhui Province Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230041, Anhui, China
| | - Zhaoyu Zhai
- College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, 210095, China
| | - Jian Jin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Science and Technology, Guangxi University, Nanning, 530004, Guangxi, China
| | - Dina Abdulmajid
- Rice Research and Training Centre, Field Crops Research Institute, Agricultural Research Centre, Kafr El-Sheikh, 33717, Kafr El-Sheikh Governorate, Egypt
| | - Jingjing Guo
- Centre in Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, China
| | - Huhui Chen
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
| | - Honggui La
- College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
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16
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Ahmar S, Hensel G, Gruszka D. CRISPR/Cas9-mediated genome editing techniques and new breeding strategies in cereals - current status, improvements, and perspectives. Biotechnol Adv 2023; 69:108248. [PMID: 37666372 DOI: 10.1016/j.biotechadv.2023.108248] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/06/2023]
Abstract
Cereal crops, including triticeae species (barley, wheat, rye), as well as edible cereals (wheat, corn, rice, oat, rye, sorghum), are significant suppliers for human consumption, livestock feed, and breweries. Over the past half-century, modern varieties of cereal crops with increased yields have contributed to global food security. However, presently cultivated elite crop varieties were developed mainly for optimal environmental conditions. Thus, it has become evident that taking into account the ongoing climate changes, currently a priority should be given to developing new stress-tolerant cereal cultivars. It is necessary to enhance the accuracy of methods and time required to generate new cereal cultivars with the desired features to adapt to climate change and keep up with the world population expansion. The CRISPR/Cas9 system has been developed as a powerful and versatile genome editing tool to achieve desirable traits, such as developing high-yielding, stress-tolerant, and disease-resistant transgene-free lines in major cereals. Despite recent advances, the CRISPR/Cas9 application in cereals faces several challenges, including a significant amount of time required to develop transgene-free lines, laboriousness, and a limited number of genotypes that may be used for the transformation and in vitro regeneration. Additionally, developing elite lines through genome editing has been restricted in many countries, especially Europe and New Zealand, due to a lack of flexibility in GMO regulations. This review provides a comprehensive update to researchers interested in improving cereals using gene-editing technologies, such as CRISPR/Cas9. We will review some critical and recent studies on crop improvements and their contributing factors to superior cereals through gene-editing technologies.
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Affiliation(s)
- Sunny Ahmar
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland
| | - Goetz Hensel
- Centre for Plant Genome Engineering, Institute of Plant Biochemistry, Heinrich-Heine-University, Duesseldorf, Germany; Centre of Region Haná for Biotechnological and Agricultural Research, Czech Advanced Technology and Research Institute, Palacký University Olomouc, Olomouc, Czech Republic
| | - Damian Gruszka
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland.
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17
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Liu Z, Yang Q, Wu P, Li Y, Lin Y, Liu W, Guo S, Liu Y, Huang Y, Xu P, Qian Y, Xie Q. Dynamic monitoring of TGW6 by selective autophagy during grain development in rice. THE NEW PHYTOLOGIST 2023; 240:2419-2435. [PMID: 37743547 DOI: 10.1111/nph.19271] [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: 08/09/2023] [Accepted: 08/31/2023] [Indexed: 09/26/2023]
Abstract
Crop yield must increase to achieve food security in the face of a growing population and environmental deterioration. Grain size is a prime breeding target for improving grain yield and quality in crop. Here, we report that autophagy emerges as an important regulatory pathway contributing to grain size and quality in rice. Mutations of rice Autophagy-related 9b (OsATG9b) or OsATG13a causes smaller grains and increase of chalkiness, whereas overexpression of either promotes grain size and quality. We also demonstrate that THOUSAND-GRAIN WEIGHT 6 (TGW6), a superior allele that regulates grain size and quality in the rice variety Kasalath, interacts with OsATG8 via the canonical Atg8-interacting motif (AIM), and then is recruited to the autophagosome for selective degradation. In consistent, alteration of either OsATG9b or OsATG13a expression results in reciprocal modulation of TGW6 abundance during grain growth. Genetic analyses confirmed that knockout of TGW6 in either osatg9b or osatg13a mutants can partially rescue their grain size defects, indicating that TGW6 is one of the substrates for autophagy to regulate grain development. We therefore propose a potential framework for autophagy in contributing to grain size and quality in crops.
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Affiliation(s)
- Zinan Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Qianying Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Pingfan Wu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yifan Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yanni Lin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Wanqing Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Academy of Agricultural Sciences, Rice Research Institute, Guangzhou, 510640, China
| | - Shaoying Guo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yunfeng Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Life Sciences and Technology, Guangxi University, Nanning, 530004, China
| | - Yifeng Huang
- Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Science, Hangzhou, 310001, China
| | - Peng Xu
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, The Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan, 666303, China
| | - Yangwen Qian
- WIMI Biotechnology Co. Ltd., Changzhou, 213000, China
| | - Qingjun Xie
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
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18
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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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19
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Tian Y, Ye W, Liang X, Xu P, Wu X, Fu X, Chin Y, Liao Y. Rapid Visual Detection of High Nitrogen-Use Efficiency Gene OsGRF4 in Rice ( Oryza sativa L.) Using Loop-Mediated Isothermal Amplification Method. Genes (Basel) 2023; 14:1850. [PMID: 37895199 PMCID: PMC10606894 DOI: 10.3390/genes14101850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 09/19/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
The GROWTH-REGULATING FACTOR4 (OsGRF4) allele is an important target for the development of new high nitrogen-use efficiency (NUE) rice lines that would require less fertilizers. Detection of OsGRF4 through PCR (polymerase chain reaction)-based assay is cumbersome and needs advanced laboratory skills and facilities. Hence, a method for conveniently and rapidly detecting OsGRF4 on-field is a key requirement for further research and applications. In this study, we employed cleaved amplified polymorphic sequences (CAPs) and loop-mediated isothermal amplification (LAMP) techniques to develop a convenient visual detection method for high NUE gene OsGRF4NM73 (OsGRF4 from the rice line NM73). The TC→AA mutation at 1187-1188 bp loci was selected as the target sequence for the OsGRF4NM73 allele. We further employed this method of identification in 10 rice varieties that carried the OsGRF4 gene and results revealed that one variety (NM73) carries the target OsGRF4NM73 allele, while other varieties did not possess the osgrf4 genotype. The optimal LAMP reaction using hydroxynaphthol blue (HNB), a chromogenic indicator, was carried out at 65 °C for 60 min, and the presence of OsGRF4NM73 allele was confirmed by color changes from violet to sky blue. The results of this study showed that the LAMP method can be conveniently and accurately used to detect the OsGRF4NM73 gene in rice.
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Affiliation(s)
- Yonghang Tian
- College of Food Science and Engineering, Hainan Tropical Ocean University, No. 1 Yucai Road, Sanya 572022, China; (X.L.); (Y.C.)
- Marine Food Engineering Technology Research Center of Hainan Province, No. 1 Yucai Road, Sanya 572022, China
| | - Wenwei Ye
- Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Wenjiang District, Chengdu 611130, China; (W.Y.); (P.X.); (X.W.)
| | - Xiangshuai Liang
- College of Food Science and Engineering, Hainan Tropical Ocean University, No. 1 Yucai Road, Sanya 572022, China; (X.L.); (Y.C.)
| | - Peizhou Xu
- Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Wenjiang District, Chengdu 611130, China; (W.Y.); (P.X.); (X.W.)
| | - Xianjun Wu
- Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Wenjiang District, Chengdu 611130, China; (W.Y.); (P.X.); (X.W.)
| | - Xiangdong Fu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, No. 1 West Beichen Road, Chaoyang District, Beijing 100101, China;
| | - Yaoxian Chin
- College of Food Science and Engineering, Hainan Tropical Ocean University, No. 1 Yucai Road, Sanya 572022, China; (X.L.); (Y.C.)
- Marine Food Engineering Technology Research Center of Hainan Province, No. 1 Yucai Road, Sanya 572022, China
| | - Yongxiang Liao
- Rice Research Institute, Sichuan Agricultural University, No. 211 Huiming Road, Wenjiang District, Chengdu 611130, China; (W.Y.); (P.X.); (X.W.)
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20
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Zhao Y, Zhang X, Cheng Y, Du X, Teotia S, Miao C, Sun H, Fan G, Tang G, Xue H, Zhao Q, Peng T. The miR167-OsARF12 module regulates rice grain filling and grain size downstream of miR159. PLANT COMMUNICATIONS 2023; 4:100604. [PMID: 37085993 PMCID: PMC10504563 DOI: 10.1016/j.xplc.2023.100604] [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: 10/14/2022] [Revised: 03/20/2023] [Accepted: 04/18/2023] [Indexed: 05/03/2023]
Abstract
Grain weight and quality are always determined by grain filling. Plant microRNAs have drawn attention as key targets for regulation of grain size and yield. However, the mechanisms that underlie grain size regulation remain largely unclear because of the complex networks that control this trait. Our earlier studies demonstrated that suppressed expression of miR167 (STTM/MIM167) substantially increased grain weight. In a field test, the yield increased up to 12.90%-21.94% because of a significantly enhanced grain filling rate. Here, biochemical and genetic analyses revealed the regulatory effects of miR159 on miR167 expression. Further analysis indicated that OsARF12 is the major mediator by which miR167 regulates rice grain filling. Overexpression of OsARF12 produced grain weight and grain filling phenotypes resembling those of STTM/MIM167 plants. Upon in-depth analysis, we found that OsARF12 activates OsCDKF;2 expression by directly binding to the TGTCGG motif in its promoter region. Flow cytometry analysis of young panicles from OsARF12-overexpressing plants and examination of cell number in cdkf;2 mutants verified that OsARF12 positively regulates grain filling and grain size by targeting OsCDKF;2. Moreover, RNA sequencing results suggested that the miR167-OsARF12 module is involved in the cell development process and hormone pathways. OsARF12-overexpressing plants and cdkf;2 mutants exhibited enhanced and reduced sensitivity to exogenous auxin and brassinosteroid (BR) treatment, confirming that targeting of OsCDKF;2 by OsARF12 mediates auxin and BR signaling. Our results reveal that the miR167-OsARF12 module works downstream of miR159 to regulate rice grain filling and grain size via OsCDKF;2 by controlling cell division and mediating auxin and BR signals.
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Affiliation(s)
- Yafan Zhao
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Rice Biology in Henan Province, Henan Agricultural University, Zhengzhou 450046, China; Henan Engineering Laboratory of Rice, Henan Agricultural University, Zhengzhou 450002, China
| | - Xiaofan Zhang
- Joint Center for Single Cell Biology/School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yuan Cheng
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Rice Biology in Henan Province, Henan Agricultural University, Zhengzhou 450046, China; Henan Engineering Laboratory of Rice, Henan Agricultural University, Zhengzhou 450002, China
| | - Xiangxiang Du
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Rice Biology in Henan Province, Henan Agricultural University, Zhengzhou 450046, China; Henan Engineering Laboratory of Rice, Henan Agricultural University, Zhengzhou 450002, China
| | - Sachin Teotia
- Department of Biotechnology, Sharda University, Greater Noida 201306, India
| | - Chunbo Miao
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Rice Biology in Henan Province, Henan Agricultural University, Zhengzhou 450046, China; Henan Engineering Laboratory of Rice, Henan Agricultural University, Zhengzhou 450002, China
| | - Huwei Sun
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Rice Biology in Henan Province, Henan Agricultural University, Zhengzhou 450046, China; Henan Engineering Laboratory of Rice, Henan Agricultural University, Zhengzhou 450002, China
| | - Guoqiang Fan
- Institute of Paulownia, Henan Agricultural University, Zhengzhou 450046, China
| | - Guiliang Tang
- Department of Biological Sciences, Michigan Technological University, Houghton, MI 49931, USA
| | - Hongwei Xue
- Joint Center for Single Cell Biology/School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Quanzhi Zhao
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Rice Biology in Henan Province, Henan Agricultural University, Zhengzhou 450046, China; Henan Engineering Laboratory of Rice, Henan Agricultural University, Zhengzhou 450002, China; College of Agriculture, Guizhou University, Guiyang 550025, China.
| | - Ting Peng
- Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou 450046, China; Key Laboratory of Rice Biology in Henan Province, Henan Agricultural University, Zhengzhou 450046, China; Henan Engineering Laboratory of Rice, Henan Agricultural University, Zhengzhou 450002, China.
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21
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Zhang Y, Gan L, Zhang Y, Huang B, Wan B, Li J, Tong L, Zhou X, Wei Z, Li Y, Song Z, Zhang X, Cai D, He Y. OsCBL5-CIPK1-PP23 module enhances rice grain size and weight through the gibberellin pathway. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 115:895-909. [PMID: 37133258 DOI: 10.1111/tpj.16266] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/04/2023]
Abstract
Grain size is a key factor in determining rice (Oryza sativa) yield, and exploring new pathways to regulate grain size has immense potential to improve yield. In this study, we report that OsCBL5 encodes a calcineurin B subunit protein that significantly promotes grain size and weight. oscbl5 plants produced obviously smaller and lighter seeds. We further revealed that OsCBL5 promotes grain size by affecting cell expansion in the spikelet hull. Biochemical analyses demonstrated that CBL5 interacts with CIPK1 and PP23. Furthermore, double and triple mutations were induced using CRISPR/Cas9 (cr) to analyze the genetic relationship. It was found that the cr-cbl5/cipk1 phenotype was similar to that of cr-cipk1 and that the cr-cbl5/pp23, cr-cipk1/pp23, and cr-cbl5/cipk1/pp23 phenotype was similar to that of cr-pp23, indicating that OsCBL5, CIPK1, and PP23 act as a molecular module influencing seed size. In addition, the results show that both CBL5 and CIPK1 are involved in the gibberellic acid (GA) pathway and significantly affect the accumulation of endogenous active GA4 . PP23 participates in GA signal transduction. In brief, this study identified a new module that affects rice grain size, OsCBL5-CIPK1-PP23, which could potentially be targeted to improve rice yield.
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Affiliation(s)
- Yachun Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
| | - Lu Gan
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
| | - Yujie Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
| | - Baosheng Huang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
- Shandong Institute of Commerce and Technology, 250000, Jinan, China
| | - Binliang Wan
- Hubei Academy of Agricultural Sciences Institute of Food Crops, 430000, Wuhan, China
| | - Jinbo Li
- Hubei Academy of Agricultural Sciences Institute of Food Crops, 430000, Wuhan, China
| | - Liqi Tong
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
| | - Xue Zhou
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
| | - Zhisong Wei
- Wuhan Polyploid Biotechnology Limited Company, 430000, Wuhan, China
| | - Yan Li
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
| | - Zhaojian Song
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
- Wuhan Polyploid Biotechnology Limited Company, 430000, Wuhan, China
| | - Xianhua Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
- Wuhan Polyploid Biotechnology Limited Company, 430000, Wuhan, China
| | - Detian Cai
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
- Wuhan Polyploid Biotechnology Limited Company, 430000, Wuhan, China
| | - Yuchi He
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, 430000, Wuhan, China
- Wuhan Polyploid Biotechnology Limited Company, 430000, Wuhan, China
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22
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Li Y, Wang W, Hu C, Yang S, Ma C, Wu J, Wang Y, Xu Z, Li L, Huang Z, Zhu J, Jia X, Ye X, Yang Z, Sun Y, Liu H, Chen R. Ectopic Expression of a Maize Gene ZmDUF1645 in Rice Increases Grain Length and Yield, but Reduces Drought Stress Tolerance. Int J Mol Sci 2023; 24:9794. [PMID: 37372942 DOI: 10.3390/ijms24129794] [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: 05/09/2023] [Revised: 05/27/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
As the human population grows rapidly, food shortages will become an even greater problem; therefore, increasing crop yield has become a focus of rice breeding programs. The maize gene, ZmDUF1645, encoding a putative member of the DUF1645 protein family with an unknown function, was transformed into rice. Phenotypic analysis showed that enhanced ZmDUF1645 expression significantly altered various traits in transgenic rice plants, including increased grain length, width, weight, and number per panicle, resulting in a significant increase in yield, but a decrease in rice tolerance to drought stress. qRT-PCR results showed that the expression of the related genes regulating meristem activity, such as MPKA, CDKA, a novel crop grain filling gene (GIF1), and GS3, was significantly changed in the ZmDUF1645-overexpression lines. Subcellular colocalization showed that ZmDUF1645 was primarily localized on cell membrane systems. Based on these findings, we speculate that ZmDUF1645, like the OsSGL gene in the same protein family, may regulate grain size and affect yield through the cytokinin signaling pathway. This research provides further knowledge and understanding of the unknown functions of the DUF1645 protein family and may serve as a reference for biological breeding engineering to increase maize crop yield.
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Affiliation(s)
- Yaqi Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Wei Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Changqiong Hu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Songjin Yang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Chuan Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Jiacheng Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Yuwei Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Zhengjun Xu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Lihua Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Zhengjian Huang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Jianqing Zhu
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaomei Jia
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Xiaoying Ye
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhiyuang Yang
- Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Yongjian Sun
- Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Huainian Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
| | - Rongjun Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China
- Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
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23
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Niaz M, Zhang L, Lv G, Hu H, Yang X, Cheng Y, Zheng Y, Zhang B, Yan X, Htun A, Zhao L, Sun C, Zhang N, Ren Y, Chen F. Identification of TaGL1-B1 gene controlling grain length through regulation of jasmonic acid in common wheat. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:979-989. [PMID: 36650924 PMCID: PMC10106860 DOI: 10.1111/pbi.14009] [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] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 12/15/2022] [Accepted: 01/06/2023] [Indexed: 05/04/2023]
Abstract
Grain length is one of the most important factors in determining wheat yield. Here, a stable QTL for grain length was mapped on chromosome 1B in a F10 recombinant inbred lines (RIL) population, and the gene TaGL1-B1 encoding carotenoid isomerase was identified in a secondary large population through multiple strategies. The genome-wide association study (GWAS) in 243 wheat accessions revealed that the marker for TaGL1-B1 was the most significant among all chromosomes. EMS mutants of TaGL1 possessed significantly reduced grain length, whereas TaGL1-B1-overexpressed lines possessed significantly increased grain length. Moreover, TaGL1-B1 strongly interacted with TaPAP6. TaPAP6-overexpressed lines had significantly increased grain length. Transcriptome analysis suggested that TaPAP6 was possibly involved in the accumulation of JA (jasmonic acid). Consistently, JA content was significantly increased in the TaGL1-B1 and TaPAP6 overexpression lines. Additionally, the role of TaGL1-B1 in regulating carotenoids was verified through QTL mapping, GWAS, EMS mutants and overexpression lines. Notably, overexpression of TaGL1-B1 significantly increased wheat yield in multiple locations. Taken together, overexpression of TaGL1-B1 enhanced grain length, probably through interaction with TaPAP6 to cause the accumulation of JA that improved carotenoid content and photosynthesis, thereby resulted in increased wheat yield. This study provided valuable genes controlling grain length to improve yield and a potential insight into the molecular mechanism of modulating JA-mediated grain size in wheat.
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Affiliation(s)
- Mohsin Niaz
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Lingran Zhang
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Guoguo Lv
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Huiting Hu
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Xi Yang
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Yongzhen Cheng
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Yueting Zheng
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Bingyang Zhang
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Xiangning Yan
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Aye Htun
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Lei Zhao
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Congwei Sun
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Ning Zhang
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Yan Ren
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
| | - Feng Chen
- National Key Laboratory of Wheat and Maize Crop Science, CIMMYT‐China Wheat and Maize Joint Research Center, Agronomy CollegeHenan Agricultural UniversityZhengzhouChina
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Ma M, Lei E, Wang T, Meng H, Zhang W, Lu B. Genetic Diversity and Association Mapping of Grain-Size Traits in Rice Landraces from the Honghe Hani Rice Terraces System in Yunnan Province. PLANTS (BASEL, SWITZERLAND) 2023; 12:1678. [PMID: 37111901 PMCID: PMC10146266 DOI: 10.3390/plants12081678] [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: 03/06/2023] [Revised: 03/31/2023] [Accepted: 04/15/2023] [Indexed: 06/19/2023]
Abstract
The Honghe Hani Rice Terraces System (HHRTS) of Yunnan Province is an important agricultural and cultural heritage landscape. Until now, a large number of local rice landraces have been planted. Mining excellent genes contained in these landraces provides a reference for variety improvement and new variety breeding. In this study, 96 rice landraces collected from the Hani terraces were planted in Honghe Mengzi, Yunnan Province, in 2013, 2014, 2015, and 2021, and five major grain traits were measured and analyzed. The genomic variation of 96 rice landraces was scanned by 201 simple sequence repeat (SSR) markers. The genetic diversity, population structure, and genetic relationships of the natural population were analyzed. The mixed linear model (MLM) method of the TASSEL software was used to analyze the associations between markers and traits. A total of 936 alleles were amplified by 201 pairs of SSR primers. The average number of observed alleles (Na), the effective number of alleles (Ne), Shannon's information index (I), heterozygosity (H), and the polymorphism information content (PIC) per marker were 4.66, 2.71, 1.08, 0.15, and 0.55, respectively. Ninety-six landraces were divided into two groups by population structure, clustering, and principal component analysis, and indica rice was the main group. The coefficients of variation of the five traits ranged from 6.80 to 15.24%, and their broad heritabilities were more than 70%. In addition, there were positive correlations among the same grain traits between different years. Through MLM analysis, 2, 36, 7, 7, and 4 SSR markers were significantly associated with grain length (GL), grain width (GW), grain thickness (GT), grain length-width ratio (LWR), and thousand-grain weight (TGW), respectively. The explanation rates of phenotypic variation were 16.31 (RM449, Chr. 1)-23.51% (RM316, Chr. 9), 10.84 (RM523, Chr. 3; RM161/RM305, Chr. 5)-43.01% (RM5496, Chr. 1), 11.98 (RM161/RM305, Chr. 5)-24.72% (RM275, Chr. 6), 12.68 (RM126, Chr. 8)-36.96% (RM5496, Chr. 1), and 17.65 (RM4499, Chr. 2)-26.32% (RM25, Chr. 8), respectively. The associated markers were distributed on 12 chromosomes of the genome.
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Affiliation(s)
- Mengli Ma
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
| | - En Lei
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
| | - Tiantao Wang
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
| | - Hengling Meng
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
| | - Wei Zhang
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
| | - Bingyue Lu
- Key Laboratory for Research and Utilization of Characteristic Biological Resources in Southern Yunnan, Honghe University, Mengzi 661199, China
- College of Biological and Agricultural Sciences, Honghe University, Mengzi 661199, China
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Tong S, Ashikari M, Nagai K, Pedersen O. Can the Wild Perennial, Rhizomatous Rice Species Oryza longistaminata be a Candidate for De Novo Domestication? RICE (NEW YORK, N.Y.) 2023; 16:13. [PMID: 36928797 PMCID: PMC10020418 DOI: 10.1186/s12284-023-00630-7] [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: 01/05/2023] [Accepted: 03/05/2023] [Indexed: 06/18/2023]
Abstract
As climate change intensifies, the development of resilient rice that can tolerate abiotic stresses is urgently needed. In nature, many wild plants have evolved a variety of mechanisms to protect themselves from environmental stresses. Wild relatives of rice may have abundant and virtually untapped genetic diversity and are an essential source of germplasm for the improvement of abiotic stress tolerance in cultivated rice. Unfortunately, the barriers of traditional breeding approaches, such as backcrossing and transgenesis, make it challenging and complex to transfer the underlying resilience traits between plants. However, de novo domestication via genome editing is a quick approach to produce rice with high yields from orphans or wild relatives. African wild rice, Oryza longistaminata, which is part of the AA-genome Oryza species has two types of propagation strategies viz. vegetative propagation via rhizome and seed propagation. It also shows tolerance to multiple types of abiotic stress, and therefore O. longistaminata is considered a key candidate of wild rice for heat, drought, and salinity tolerance, and it is also resistant to lodging. Importantly, O. longistaminata is perennial and propagates also via rhizomes both of which are traits that are highly valuable for the sustainable production of rice. Therefore, O. longistaminata may be a good candidate for de novo domestication through genome editing to obtain rice that is more climate resilient than modern elite cultivars of O. sativa.
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Affiliation(s)
- Shuai Tong
- Department of Biology, University of Copenhagen, Universitetsparken 4, 3Rd Floor, 2100, Copenhagen, Denmark
| | - Motoyuki Ashikari
- Bioscience and Biotechnology Center of Nagoya University, Furo-Cho, Chikusa, Nagoya, Aichi, 464-8602, Japan
| | - Keisuke Nagai
- Bioscience and Biotechnology Center of Nagoya University, Furo-Cho, Chikusa, Nagoya, Aichi, 464-8602, Japan.
| | - Ole Pedersen
- Department of Biology, University of Copenhagen, Universitetsparken 4, 3Rd Floor, 2100, Copenhagen, Denmark.
- School of Agriculture and Environment, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.
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Control of grain size in rice by TGW3 phosphorylation of OsIAA10 through potentiation of OsIAA10-OsARF4-mediated auxin signaling. Cell Rep 2023; 42:112187. [PMID: 36871218 DOI: 10.1016/j.celrep.2023.112187] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 12/02/2022] [Accepted: 02/14/2023] [Indexed: 03/06/2023] Open
Abstract
Grain size is a key component of grain yield and quality in crops. Several core players of auxin signaling have been revealed to modulate grain size; however, to date, few genetically defined pathways have been reported, and whether phosphorylation could boost degradation of Aux/IAA proteins is uncertain. Here, we show that TGW3 (also called OsGSK5) interacts with and phosphorylates OsIAA10. Phosphorylation of OsIAA10 facilitates its interaction with OsTIR1 and subsequent destabilization, but this modification hinders its interaction with OsARF4. Our genetic and molecular evidence identifies an OsTIR1-OsIAA10-OsARF4 axis as key for grain size control. In addition, physiological and molecular studies suggest that TGW3 mediates the brassinosteroid response, the effect of which can be relayed through the regulatory axis. Collectively, these findings define a auxin signaling pathway to regulate grain size, in which phosphorylation of OsIAA10 enhances its proteolysis and potentiates OsIAA10-OsARF4-mediated auxin signaling.
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Hong Y, Zhang M, Xu R. Genetic Localization and Homologous Genes Mining for Barley Grain Size. Int J Mol Sci 2023; 24:ijms24054932. [PMID: 36902360 PMCID: PMC10003025 DOI: 10.3390/ijms24054932] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 02/27/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023] Open
Abstract
Grain size is an important agronomic trait determining barley yield and quality. An increasing number of QTLs (quantitative trait loci) for grain size have been reported due to the improvement in genome sequencing and mapping. Elucidating the molecular mechanisms underpinning barley grain size is vital for producing elite cultivars and accelerating breeding processes. In this review, we summarize the achievements in the molecular mapping of barley grain size over the past two decades, highlighting the results of QTL linkage analysis and genome-wide association studies. We discuss the QTL hotspots and predict candidate genes in detail. Moreover, reported homologs that determine the seed size clustered into several signaling pathways in model plants are also listed, providing the theoretical basis for mining genetic resources and regulatory networks of barley grain size.
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Affiliation(s)
- Yi Hong
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou 225127, China
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225127, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225127, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Mengna Zhang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou 225127, China
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225127, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225127, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Rugen Xu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou 225127, China
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225127, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225127, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- Correspondence:
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28
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Molecular bases of rice grain size and quality for optimized productivity. Sci Bull (Beijing) 2023; 68:314-350. [PMID: 36710151 DOI: 10.1016/j.scib.2023.01.026] [Citation(s) in RCA: 55] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/30/2022] [Accepted: 01/16/2023] [Indexed: 01/19/2023]
Abstract
The accomplishment of further optimization of crop productivity in grain yield and quality is a great challenge. Grain size is one of the crucial determinants of rice yield and quality; all of these traits are typical quantitative traits controlled by multiple genes. Research advances have revealed several molecular and developmental pathways that govern these traits of agronomical importance. This review provides a comprehensive summary of these pathways, including those mediated by G-protein, the ubiquitin-proteasome system, mitogen-activated protein kinase, phytohormone, transcriptional regulators, and storage product biosynthesis and accumulation. We also generalize the excellent precedents for rice variety improvement of grain size and quality, which utilize newly developed gene editing and conventional gene pyramiding capabilities. In addition, we discuss the rational and accurate breeding strategies, with the aim of better applying molecular design to breed high-yield and superior-quality varieties.
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29
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Ma B, Zhang L, He Z. Understanding the regulation of cereal grain filling: The way forward. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:526-547. [PMID: 36648157 DOI: 10.1111/jipb.13456] [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: 09/30/2022] [Accepted: 01/17/2023] [Indexed: 06/17/2023]
Abstract
During grain filling, starch and other nutrients accumulate in the endosperm; this directly determines grain yield and grain quality in crops such as rice (Oryza sativa), maize (Zea mays), and wheat (Triticum aestivum). Grain filling is a complex trait affected by both intrinsic and environmental factors, making it difficult to explore the underlying genetics, molecular regulation, and the application of these genes for breeding. With the development of powerful genetic and molecular techniques, much has been learned about the genes and molecular networks related to grain filling over the past decades. In this review, we highlight the key factors affecting grain filling, including both biological and abiotic factors. We then summarize the key genes controlling grain filling and their roles in this event, including regulators of sugar translocation and starch biosynthesis, phytohormone-related regulators, and other factors. Finally, we discuss how the current knowledge of valuable grain filling genes could be integrated with strategies for breeding cereal varieties with improved grain yield and quality.
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Affiliation(s)
- Bin Ma
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology & Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Lin Zhang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, 225009, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China
| | - Zuhua He
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology & Ecology, Chinese Academy of Sciences, Shanghai, 200032, China
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30
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Gupta A, Bhardwaj M, Tran LSP. Integration of Auxin, Brassinosteroid and Cytokinin in the Regulation of Rice Yield. PLANT & CELL PHYSIOLOGY 2023; 63:1848-1856. [PMID: 36255097 DOI: 10.1093/pcp/pcac149] [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: 01/14/2022] [Revised: 10/11/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
Crop varieties with a high yield are most desirable in the present context of the ever-growing human population. Mostly, the yield traits are governed by a complex of numerous molecular and genetic facets modulated by various quantitative trait loci (QTLs). With the identification and molecular characterizations of yield-associated QTLs over recent years, the central role of phytohormones in regulating plant yield is becoming more apparent. Most often, different groups of phytohormones work in close association to orchestrate yield attributes. Understanding this cross talk would thus provide new venues for phytohormone pyramiding by editing a single gene or QTL(s) for yield improvement. Here, we review a few important findings to integrate the knowledge on the roles of auxin, brassinosteroid and cytokinin and how a single gene or a QTL could govern cross talk among multiple phytohormones to determine the yield traits.
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Affiliation(s)
- Aarti Gupta
- Department of Life Sciences, POSTECH Biotech Center, Pohang University of Science and Technology, 77 Cheongam-Ro, Namgu, Pohang-si 37673, South Korea
| | - Mamta Bhardwaj
- Department of Botany, Hindu Girls College, Maharshi Dayanand University, Sonipat 131001, India
| | - Lam-Son Phan Tran
- Institute of Research and Development, Duy Tan University, 03 Quang Trung, Da Nang, TX 79409, Vietnam
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, TX 79409, USA
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31
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Wang N, Chen H, Qian Y, Liang Z, Zheng G, Xiang J, Feng T, Li M, Zeng W, Bao Y, Liu E, Zhang C, Xu J, Shi Y. Genome-Wide Association Study of Rice Grain Shape and Chalkiness in a Worldwide Collection of Xian Accessions. PLANTS (BASEL, SWITZERLAND) 2023; 12:419. [PMID: 36771503 PMCID: PMC9919668 DOI: 10.3390/plants12030419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
Rice (Oryza sativa L.) appearance quality, which is mainly defined by grain shape and chalkiness, is an important target in rice breeding. In this study, we first re-sequenced 137 indica accessions and then conducted a genome-wide association study (GWAS) for six agronomic traits with the 2,998,034 derived single nucleotide polymorphisms (SNPs) by using the best linear unbiased prediction (BLUP) values for each trait. The results revealed that 195 SNPs had significant associations with the six agronomic traits. Based on the genome-wide linkage disequilibrium (LD) blocks, candidate genes for the target traits were detected within 100 kb upstream and downstream of the relevant SNP loci. Results indicate that six quantitative trait loci (QTLs) significantly associated with six traits (qTGW4.1, qTGW4.2, qGL4.1, qGL12.1, qGL12.2, qGW2.1, qGW4.1, qGW6.1, qGW8.1, qGW8.2, qGW9.1, qGW11.1, qGLWR2.1, qGLWR2.2, qGLWR4.2, qPGWC5.1 and qDEC6.1) were identified for haplotype analysis. Among these QTLs, two (qTGW4.2 and qGW6.1), were overlapped with FLO19 and OsbZIP47, respectively, and the remaining four were novel QTLs. These candidate genes were further validated by haplotype block construction.
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Affiliation(s)
- Nansheng Wang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Huguang Chen
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yingzhi Qian
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Zhaojie Liang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Guiqiang Zheng
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Jun Xiang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Ting Feng
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Min Li
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Wei Zeng
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Yaling Bao
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Erbao Liu
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Chaopu Zhang
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
| | - Jianlong Xu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yingyao Shi
- College of Agronomy, Anhui Agricultural University, Hefei 230036, China
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32
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Yang T, Gu H, Yang W, Liu B, Liang S, Zhao J. Artificially Selected Grain Shape Gene Combinations in Guangdong Simiao Varieties of Rice (Oryza sativa L.). RICE (NEW YORK, N.Y.) 2023; 16:3. [PMID: 36648593 PMCID: PMC9845460 DOI: 10.1186/s12284-023-00620-9] [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: 10/18/2022] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Grain shape is a key trait in rice breeding. Although many QTLs and genes of grain shape have been identified, how different combinations of alleles of these genes affect grain shape is largely unknown. It is important to understand the effects of grain shape gene combinations for breeding by design. In the present study, we performed genetic dissection of the grain shapes in Guangdong Simiao varieties, a popular kind of rice in South China, to identify the effective alleles and their combination for breeding. RESULTS We selected two hundred nineteen indica accessions with diverse grain shapes and fifty-two Guangdong Simiao varieties with long and slender grain shapes for genome-wide selection analysis. The results showed that four (GS3, GS5, GW5 and GL7) of the twenty grain shape genes fall into the regions selected for in Guangdong Simiao varieties. Allele analysis and frequency distribution of these four genes showed that GS3allele3 and GW5allele2 accounted for 96.2%, and GL7allele2 and GS5allele2 accounted for 76.9% and 74.5% of the Simiao varieties, respectively. Further analysis of the allelic combinations showed that 30 allelic combinations were identified in the whole panel, with 28 allelic combinations found in the international indica accessions and 6 allelic combinations found in Guangdong Simiao varieties. There were mainly three combinations (combinations 17, 18 and 19) in the Guangdong Simiao varieties, with combination 19 (GS3allele3 + GW5allele2 + GL7allele2 + GS5allele2) having the highest percentage (51.9%). All three combinations carried GS3allele3 + GW5allele2, while combinations 17 (GL7allele1) and 19 (GL7allele2) showed significant differences in both grain length and length/width ratio due to differences in GL7 alleles. Pedigree analysis of Guang8B, the maintainer of the first released Simiao male sterile line Guang8A, showed that the parent lines and Guang8B carried GS3allele3 + GW5allele2 + GS5allele2, while the GL7 allele differed, resulting in significant differences in grain size. CONCLUSION The results suggest that specific alleles of GS3, GS5, GW5 and GL7 are the key grain shape genes used in the Guangdong Simiao varieties and selected for grain shape improvement. Combination 19 is the predominant allelic combination in the Guangdong Simiao varieties. Our current study is the first to dissect the genetics of grain shape in Guangdong Simiao varieties, and the results will facilitate molecular breeding of Guangdong Simiao varieties.
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Affiliation(s)
- Tifeng Yang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Haiyong Gu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Wu Yang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Bin Liu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Shihu Liang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
| | - Junliang Zhao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640 China
- Guangdong Key Laboratory of New Technology in Rice Breeding, Guangzhou, 510640 China
- Guangdong Rice Engineering Laboratory, Guangzhou, 510640, China
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Luo S, Jia J, Liu R, Wei R, Guo Z, Cai Z, Chen B, Liang F, Xia Q, Nian H, Cheng Y. Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments. FRONTIERS IN PLANT SCIENCE 2023; 13:1094112. [PMID: 36714756 PMCID: PMC9874164 DOI: 10.3389/fpls.2022.1094112] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 12/15/2022] [Indexed: 06/18/2023]
Abstract
INTRODUCTION The seed weight of soybean [Glycine max (L.) Merr.] is one of the major traits that determine soybean yield and is closely related to seed size. However, the genetic basis of the synergistic regulation of traits related to soybean yield is unclear. METHODS To understand the molecular genetic basis for the formation of soybean yield traits, the present study focused on QTLs mapping for seed size and weight traits in different environments and target genes mining. RESULTS A total of 85 QTLs associated with seed size and weight traits were identified using a recombinant inbred line (RIL) population developed from Guizao1×B13 (GB13). We also detected 18 environmentally stable QTLs. Of these, qSL-3-1 was a novel QTL with a stable main effect associated with seed length. It was detected in all environments, three of which explained more than 10% of phenotypic variance (PV), with a maximum of 15.91%. In addition, qSW-20-3 was a novel QTL with a stable main effect associated with seed width, which was identified in four environments. And the amount of phenotypic variance explained (PVE) varied from 9.22 to 21.93%. Five QTL clusters associated with both seed size and seed weight were summarized by QTL cluster identification. Fifteen candidate genes that may be involved in regulating soybean seed size and weight were also screened based on gene function annotation and GO enrichment analysis. DISCUSSION The results provide a biologically basic reference for understanding the formation of soybean seed size and weight traits.
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Affiliation(s)
- Shilin Luo
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Jia Jia
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Riqian Liu
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Ruqian Wei
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Zhibin Guo
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Zhandong Cai
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Bo Chen
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Fuwei Liang
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Qiuju Xia
- Rice Molecular Breeding Institute, Granlux Associated Grains, Shenzhen, Guangdong, China
| | - Hai Nian
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
| | - Yanbo Cheng
- The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, China
- The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, China
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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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Mao Z, Di X, Xia S, Chen Q, Ma X, Chen M, Yang Z, Zhao F, Ling Y. Detecting and pyramiding target QTL for plant- and grain-related traits via chromosomal segment substitution line of rice. FRONTIERS IN PLANT SCIENCE 2022; 13:1020847. [PMID: 36589042 PMCID: PMC9800928 DOI: 10.3389/fpls.2022.1020847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 10/26/2022] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Plant height and grain length are important agronomic traits in rice, exhibiting a strong effect on plant architecture and grain quality of rice varieties. METHODS Methods: A novel rice chromosomal segment substitution line (CSSL), i.e., CSSL-Z1357, with significantly increased plant height (PH) and grain length (GL) was identified from CSSLs constructed by using Nipponbare as a receptor and a restorer line Xihui 18 as a donor. Seven agronomic traits of PH, PL, GL, GW, GPP, SPP, and TGW were phenotyped, and REML implemented in HPMIXED of SAS were used to detect the QTL for these traits. Secondary CSSLs were screened out via marker-assisted selection (MAS) to estimate the additive and epistatic effects of detected QTLs, evaluating the potential utilization of pyramiding the target QTLs for yield and quality improvement of rice varieties. RESULTS AND DISCUSSION Results and Discussion: CSSL-Z1357 carried nine segments from Xihui 18 with an average segment length of 4.13 Mb. The results show that the long grain of CSSL-Z1357 was caused by the increased number of surface cells and the length of the inner glume. Thirteen quantitative trait loci were identified via the F2 population of Nipponbare/CSSL-Z1357, including three each for GL (qGL-3, qGL-6, and qGL-7) and PH (qPH-1, qPH-7, and qPH-12I), among which qGL-3 increased GL by 0.23 mm with synergistic allele from CSSL-Z1357. Additionally, three single (S1 to S3), two double (D1, D2), and one triple segment (T1) substitution lines were developed in F3 via MAS. Results show that pyramiding the segments from Chr.3 (qGL-3 and qPH-3), Chr.6 (qGL-6 and qPH-6), and Chr.7 (Null and qPH-7) tended to result in better phenotype of increased GL and PH and decreased grain width, providing a potential basis for enhancing grain yield and quality in rice breeding.
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Zhao M, Wang Y, He N, Pang X, Wang L, Ma Z, Tang Z, Gao H, Zhang L, Fu L, Wang C, Liu J, Zheng W. QTL Detection for Rice Grain Length and Fine Mapping of a Novel Locus qGL6.1. RICE (NEW YORK, N.Y.) 2022; 15:60. [PMID: 36441396 PMCID: PMC9705657 DOI: 10.1186/s12284-022-00606-z] [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: 02/18/2022] [Accepted: 11/21/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Grain length (GL) that is directly associated with appearance quality is a key target of selection in rice breeding. Although abundant quantitative trait locus (QTL) associated with GL have been identified, it was still relatively weak to identify QTL for GL from japonica genetic background, as the shortage of japonica germplasms with long grains. We performed QTLs analysis for GL using a recombinant inbred lines (RILs) population derived from the cross between japonica variety GY8 (short grains) and LX1 (long grains) in four environments. RESULTS A total of 197 RILs were genotyped with 285 polymorphic SNP markers. Three QTLs qGL5.3, qGL6.1 and qGL11 were detected to control GL by individual environmental analyses and multi-environment joint analysis. Of these, a major-effect and stable QTL qGL6.1 was identified to be a novel QTL, and its LX1 allele had a positive effect on GL. For fine-mapping qGL6.1, a BC1F2 population consisting of 2,487 individuals was developed from a backcross between GY8 and R176, one line with long grain. Eight key informative recombinants were identified by nine kompetitive allele specific PCR (KASP) markers. By analyzing key recombinants, the qGL6.1 locus was narrowed down to a 40.41 kb genomic interval on chromosome 6. One candidate gene LOC_Os06g43304.1 encoding cytochrome P450 (CYP71D55) was finally selected based on the difference in the transcriptional expression and variations in its upstream and downstream region. CONCLUSIONS Three QTLs qGL5.3, qGL6.1 and qGL11 were identified to control grain length in rice. One novel QTL qGL6.1 was fine mapped within 40.41 kb region, and LOC_Os06g43304.1 encoding cytochrome P450 (CYP71D55) may be its candidate gene. We propose that the further cloning of the qGL6.1 will facilitate improving appearance quality in japonica varieties.
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Affiliation(s)
- Mingzhu Zhao
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
- Institute of Crop Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China
| | - Yuanzheng Wang
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Na He
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Xiu Pang
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Lili Wang
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Zuobin Ma
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Zhiqiang Tang
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Hong Gao
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Liying Zhang
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Liang Fu
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Changhua Wang
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China
| | - Jingang Liu
- Institute of Crop Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China.
| | - Wenjing Zheng
- Institute of Rice Research, Liaoning Academy of Agricultural Sciences, Shenyang, 110000, China.
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Chen H, Zhai L, Chen K, Shen C, Zhu S, Qu P, Tang J, Liu J, He H, Xu J. Genetic background- and environment-independent QTL and candidate gene identification of appearance quality in three MAGIC populations of rice. FRONTIERS IN PLANT SCIENCE 2022; 13:1074106. [PMID: 36438096 PMCID: PMC9697191 DOI: 10.3389/fpls.2022.1074106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 10/28/2022] [Indexed: 06/01/2023]
Abstract
Many QTL have been identified for grain appearance quality by linkage analysis (LA) in bi-parental mapping populations and by genome-wide association study (GWAS) in natural populations in rice. However, few of the well characterized genes/QTL have been successfully applied in molecular rice breeding due to genetic background (GB) and environment effects on QTL expression and deficiency of favorable alleles. In this study, GWAS and LA were performed to identify QTL for five grain appearance quality-related traits using three multi-parent advanced generation inter-cross (MAGIC) populations. A total of 22 QTL on chromosomes 1-3, 5-8 were identified by GWAS for five traits in DC1, DC2 and 8way, and four combined populations DC12 (DC1+DC2), DC18 (DC1+8way), DC28 (DC2+8way) and DC128 (DC1+DC2+8way). And a total of 42 QTL were identified on all 12 chromosomes except 10 by LA in the three single populations. Among 20 QTL identified by GWAS in DC1, DC2 and 8way, 10, four and three QTL were commonly detected in DC18, DC28, and DC128, respectively. Similarly, among 42 QTL detected by LA in the three populations, four, one and two QTL were commonly detected in DC18, DC28, and DC128, respectively. There was no QTL mapped together in DC12 by both two mapping methods, indicating that GB could greatly affect the mapping results, and it was easier to map the common QTL among populations with similar GB. The 8way population was more powerful for QTL mapping than the DC1, DC2 and various combined populations. Compared with GWAS, LA can not only identify large-effect QTL, but also identify minor-effect ones. Among 11 QTL simultaneously detected by the two methods in different GBs and environments, eight QTL corresponded to known genes, including AqGL3b and AqGLWR3a for GL and GLWR, AqGW5a, AqGLWR5, AqDEC5 and AqPGWC5 for GW, GLWR, DEC and PGWC, and AqDEC6b and AqPGWC6b for DEC and PGWC, respectively. AqGL7, AqGL3c/AqGLWR3b, AqDEC6a/AqPGWC6a, and AqPGWC7 were newly identified and their candidate genes were analyzed and inferred. It was discussed to further improve grain appearance quality through designed QTL pyramiding strategy based on the stable QTL identified in the MAGIC populations.
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Affiliation(s)
- Huizhen Chen
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education/College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Pingxiang Center for Agricultural Sciences and Technology Research, Pingxiang, Jiangxi, China
| | - Laiyuan Zhai
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Kai Chen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Congcong Shen
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Shuangbing Zhu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Pingping Qu
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jie Tang
- Pingxiang Center for Agricultural Sciences and Technology Research, Pingxiang, Jiangxi, China
| | - Jianping Liu
- Pingxiang Center for Agricultural Sciences and Technology Research, Pingxiang, Jiangxi, China
| | - Haohua He
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education/College of Agronomy, Jiangxi Agricultural University, Nanchang, Jiangxi, China
| | - Jianlong Xu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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Phenotypic Characterization and Fine Mapping of a Major-Effect Fruit Shape QTL FS5.2 in Cucumber, Cucumis sativus L., with Near-Isogenic Line-Derived Segregating Populations. Int J Mol Sci 2022; 23:ijms232113384. [DOI: 10.3390/ijms232113384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 10/30/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Cucumber (Cucumis sativus L.) fruit size/shape (FS) is an important yield and quality trait that is quantitatively inherited. Many quantitative trait loci (QTLs) for fruit size/shape have been identified, but very few have been fine-mapped or cloned. In this study, through marker-assisted foreground and background selections, we developed near-isogenic lines (NILs) for a major-effect fruit size/shape QTL FS5.2 in cucumber. Morphological and microscopic characterization of NILs suggests that the allele of fs5.2 from the semi-wild Xishuangbanna (XIS) cucumber (C. s. var. xishuangbannesis) reduces fruit elongation but promotes radial growth resulting in shorter but wider fruit, which seems to be due to reduced cell length, but increased cellular layers. Consistent with this, the NIL carrying the homozygous XIS allele (fs5.2) had lower auxin/IAA contents in both the ovary and the developing fruit. Fine genetic mapping with NIL-derived segregating populations placed FS5.2 into a 95.5 kb region with 15 predicted genes, and a homolog of the Arabidopsis CRABS CLAW (CsCRC) appeared to be the most possible candidate for FS5.2. Transcriptome profiling of NIL fruits at anthesis identified differentially expressed genes enriched in the auxin biosynthesis and signaling pathways, as well as genes involved in cell cycle, division, and cell wall processes. We conclude that the major-effect QTL FS5.2 controls cucumber fruit size/shape through regulating auxin-mediated cell division and expansion for the lateral and longitudinal fruit growth, respectively. The gibberellic acid (GA) signaling pathway also plays a role in FS5.2-mediated fruit elongation.
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Hu Y, Peng X, Shen S. Identification and Investigation of the Genetic Variations and Candidate Genes Responsible for Seed Weight via GWAS in Paper Mulberry. Int J Mol Sci 2022; 23:ijms232012520. [PMID: 36293375 PMCID: PMC9604540 DOI: 10.3390/ijms232012520] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/30/2022] [Accepted: 10/17/2022] [Indexed: 11/17/2022] Open
Abstract
Seeds directly determine the survival and population size of woody plants, but the genetic basis of seed weight in woody plants remain poorly explored. To identify genetic variations and candidate genes responsible for seed weight in natural woody populations, we investigated the hundred-seed weight of 198 paper mulberry individuals from different areas. Our results showed that the hundred-seed weight of paper mulberry was significantly associated with the bioclimatic variables of sampling sites, which increased from south to north along the latitudinal-temperature gradient. Using 2,414,978 high-quality SNPs from re-sequencing data, the genome-wide association analysis of the hundred-seed weight was performed under three models, which identified 148, 19 and 12 associated genes, respectively. Among them, 25 candidate genes were directly hit by the significant SNPs, including the WRKY transcription factor, fatty acid desaturase, F-box protein, etc. Most importantly, we identified three crucial genetic variations in the coding regions of candidate genes (Bp02g2123, Bp01g3291 and Bp10g1642), and significant differences in the hundred-seed weight were detected among the individuals carrying different genotypes. Further analysis revealed that Bp02g2123 encoding a fatty acid desaturase (FAD) might be a key factor affecting the seed weight and local climate adaptation of woody plants. Furthermore, the genome-wide investigation and expression analysis of FAD genes were performed, and the results suggested that BpFADs widely expressed in various tissues and responded to multiple phytohormone and stress treatments. Overall, our study identifies valuable genetic variations and candidate genes, and provides a better understanding of the genetic basis of seed weight in woody plants.
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Jin X, Tsago Y, Lu Y, Sunusi M, Khan AU. Map-based cloning and transcriptome analysis of the more-tiller and small-grain mutant in rice. PLANTA 2022; 256:98. [PMID: 36222916 DOI: 10.1007/s00425-022-04011-0] [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: 07/05/2022] [Accepted: 10/03/2022] [Indexed: 06/16/2023]
Abstract
A G to T nucleotide substitution of OsTSG2 led to more tillers and smaller grains in rice by participating in phytohormone signal transduction and starch and sucrose metabolism. Rice is one of the most important food crops worldwide. Grain size and tiller number are the most important factors determining rice yield. The more-tiller and small-grain 2 (tsg2) mutant in rice, developed by ethyl methanesulfonate (EMS) mutagenesis, has smaller grains, more tillers, and a higher yield per plant relative to the wild-type (WT). Based on the genetic analysis, the tsg2 traits were conferred by a single recessive nuclear gene located on the long arm of chromosome 2. After fine-mapping the OsTSG2 locus, a G to T nucleotide substitution was identified, which resulted in an A to S mutation in a highly conserved domain of the growth-regulation factor protein. The single-strand conformation polymorphism (SSCP) marker was developed based on the SNP associated with the phenotypic segregation of traits. The functional complementation of OsTSG2 from the tsg2 mutant to the WT led to an increase in grain size and weight. The differentially expressed genes (DEGs) identified by RNA sequencing were involved in phytohormone signal transduction and starch and sucrose metabolism. Enzyme-linked immunosorbent assay (ELISA) analysis detected variation in the indole acetic acid (IAA) and jasmonic acid (JA) content in the tsg2 inflorescence, while the cellular organization, degree of chalkiness, gel consistency, amylose content, and alkaline spreading value were affected in the tsg2 grains. The findings elucidated the regulatory mechanisms of the tsg2 traits. This mutant could be used in marker-assisted breeding for high-yield and good-quality rice.
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Affiliation(s)
- Xiaoli Jin
- Department of Agronomy, The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| | - Yohannes Tsago
- Department of Agronomy, The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China
- Department of Biology, Madda Walabu University, Bale Robe, Ethiopia
| | - Yingying Lu
- Department of Agronomy, The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Mustapha Sunusi
- Department of Agronomy, The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Asad Ullah Khan
- Department of Agronomy, The Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China
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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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Chou CH, Lin HS, Wen CH, Tung CW. Patterns of genetic variation and QTLs controlling grain traits in a collection of global wheat germplasm revealed by high-quality SNP markers. BMC PLANT BIOLOGY 2022; 22:455. [PMID: 36131260 PMCID: PMC9494784 DOI: 10.1186/s12870-022-03844-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 09/14/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Establish a molecular breeding program involved assembling a diverse germplasm collection and generating accurate genotypes to characterize their genetic potential and associate them with agronomic traits. In this study, we acquired over eight hundred wheat accessions from international gene banks and assessed their genetic relatedness using high-quality SNP genotypes. Understanding the scope of genomic variation in this collection allows the breeders to utilize the genetic resources efficiently while improving wheat yield and quality. RESULTS A wheat diversity panel comprising 39 durum wheat, 60 spelt wheat, and 765 bread wheat accessions was genotyped on iSelect 90 K wheat SNP arrays. A total of 57,398 SNP markers were mapped to IWGSC RefSeq v2.1 assembly, over 30,000 polymorphic SNPs in the A, B, D genomes were used to analyze population structure and diversity, the results revealed the separation of the three species and the differentiation of CIMMYT improved breeding lines and landraces or widely grown cultivars. In addition, several chromosomal regions under selection were detected. A subset of 280 bread wheat accessions was evaluated for grain traits, including grain length, width, surface area, and color. Genome-wide association studies (GWAS) revealed that several chromosomal regions were significantly linked to known quantitative trait loci (QTL) controlling grain-related traits. One of the SNP peaks at the end of chromosome 7A was in strong linkage disequilibrium (LD) with WAPO-A1, a gene that governs yield components. CONCLUSIONS Here, the most updated and accurate physical positions of SNPs on 90 K genotyping array are provided for the first time. The diverse germplasm collection and associated genotypes are available for the wheat researchers to use in their molecular breeding program. We expect these resources to broaden the genetic basis of original breeding and pre-breeding materials and ultimately identify molecular markers associated with important agronomic traits which are evaluated in diverse environmental conditions.
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Affiliation(s)
- Chia-Hui Chou
- Department of Agronomy, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 10617, Taiwan
| | - Hsun-Shih Lin
- Department of Agronomy, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 10617, Taiwan
| | - Chen-Hsin Wen
- Department of Agronomy, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 10617, Taiwan
| | - Chih-Wei Tung
- Department of Agronomy, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 10617, Taiwan.
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Angira B, Cerioli T, Famoso AN. Discovery and Validation of Grain Shape Loci in U.S. Rice Germplasm Through Haplotype Characterization. Front Genet 2022; 13:923078. [PMID: 36171886 PMCID: PMC9511171 DOI: 10.3389/fgene.2022.923078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/10/2022] [Indexed: 11/21/2022] Open
Abstract
Rice grain shape is a major determinant of rice market value and the end-use. We mapped quantitative trait loci (QTL) for grain shape traits in a bi-parental recombinant inbred line population (Trenasse/Jupiter) and discovered two major grain length QTLs—qGL3.1 and qGL7.1. Previously, a major grain shape gene GS3 was reported in the qGL3.1 region and grain length gene GL7 was reported to be encompassing qGL7.1 locus. The re-sequencing SNP data on the International Rice Research Institute (IRRI) 3K Rice Genome Project (RGP) panel were obtained from the IRRI SNP-Seek database for both genes and haplotype diversity was characterized for each gene in this diverse panel. United States rice germplasm was not well represented in the IRRI 3K RGP database. Therefore, a minimum SNP set was identified for each gene that could differentiate all the characterized haplotypes. These haplotypes in the 3K RGP panel were screened across 323 elite U.S. genotypes using the minimum SNP set. The screening of haplotypes and phenotype association confirmed the role of GS3 under qGL3.1. However, screening of the GL7 haplotypes in the U.S. germplasm panel showed that GL7 did not play a role in qGL7.1, and in addition, GL7.1 did not segregate in the Trenasse/Jupiter RIL population. This concluded that qGL7.1 is a novel QTL discovered on chr7 for grain shape in the Trenasse/Jupiter RIL population. A high-throughput KASP-based SNP marker for each locus (GS3 and qGL7.1) was identified and validated in elite U.S. rice germplasm to be used in an applied rice breeding program.
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Affiliation(s)
- Brijesh Angira
- H. Rouse Caffey Rice Research Station, Louisiana State University Agricultural Center, Baton Rouge, LA, United States
- *Correspondence: Brijesh Angira, ; Adam N. Famoso,
| | - Tommaso Cerioli
- School of Plant, Environmental and Soil Science, Louisiana State University, Baton Rouge, LA, United States
| | - Adam N. Famoso
- H. Rouse Caffey Rice Research Station, Louisiana State University Agricultural Center, Baton Rouge, LA, United States
- *Correspondence: Brijesh Angira, ; Adam N. Famoso,
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Yuan H, Xu Z, Chen W, Deng C, Liu Y, Yuan M, Gao P, Shi H, Tu B, Li T, Kang L, Ma B, Wang Y, Wang J, Chen X, Li S, Qin P. OsBSK2, a putative brassinosteroid-signalling kinase, positively controls grain size in rice. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:5529-5542. [PMID: 35595300 DOI: 10.1093/jxb/erac222] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
Grain size is an important trait that directly affects grain yield in rice; however, the genetic and molecular mechanisms regulating grain size remain unclear. In this study, we identified a mutant, grain length and grain weight 10 (glw10), which exhibited significantly reduced grain length and grain weight. Histological analysis demonstrated that GLW10 affects cell expansion, which regulates grain size. MutMap-based gene mapping and transgenic experiments demonstrated that GLW10 encodes a putative brassinosteroid (BR) signalling kinase, OsBSK2. OsBSK2 is a plasma membrane protein, and an N-myristoylation site is needed for both membrane localization and function. OsBSK2 directly interacts with the BR receptor kinase OsBRI1; however, genetic experiments have demonstrated that OsBSK2 may regulate grain size independent of the BR signalling pathway. OsBSK2 can form a homodimer or heterodimer with OsBSK3 and OsBSK4, and silencing OsBSK2, OsBSK3, and OsBSK4 reduce grain size. This indicates that OsBSKs seem to function as homodimers or heterodimers to positively regulate grain size in rice. OsBSK2/3/4 are all highly expressed in young panicles and spikelet hulls, suggesting that they control grain size. In summary, our results provide novel insights into the function of BSKs in rice, and identify novel targets for improving grain size during crop breeding.
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Affiliation(s)
- Hua Yuan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
| | - Zhengyan Xu
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Weilan Chen
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Chaoyang Deng
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yi Liu
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Min Yuan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
| | - Peng Gao
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Hui Shi
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
| | - Bin Tu
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Ting Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
| | - Liangzhu Kang
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Bingtian Ma
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yuping Wang
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jing Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
| | - Xuewei Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
| | - Shigui Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Peng Qin
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
- Rice Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
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Malik A, Kumar A, Ellur RK, Krishnan S G, Dixit D, Bollinedi H, Vinod KK, Nagarajan M, Bhowmick PK, Singh NK, Singh AK. Molecular mapping of QTLs for grain dimension traits in Basmati rice. Front Genet 2022; 13:932166. [PMID: 35983411 PMCID: PMC9379801 DOI: 10.3389/fgene.2022.932166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/28/2022] [Indexed: 11/13/2022] Open
Abstract
Basmati rice is known for its extra-long slender grains, exceptional kernel dimensions after cooking, high volume expansion, and strong aroma. Developing high yielding Basmati rice varieties with good cooking quality is a gigantic task. Therefore, identifying the genomic regions governing the grain and cooked kernel dimension traits is of utmost importance for its use in marker-assisted breeding. Although several QTLs governing grain dimension traits have been reported, limited attempts have been made to map QTLs for grain and cooked kernel dimension traits of Basmati rice. In the current study, a population of recombinant inbred lines (RIL) was generated from a cross of Sonasal and Pusa Basmati 1121 (PB1121). In the RIL population, there was a significant positive correlation among the length (RRL: rough rice length, MRL: milled rice length, CKL: cooked kernel length) and breadth (RRB: rough rice breadth, MRB: milled rice breadth and CKB: cooked kernel breadth) of the related traits, while there was significant negative correlation between them. QTL mapping has led to the identification of four major genomic regions governing MRL and CKL. Two QTLs co-localize with the earlier reported major gene GS3 and a QTL qGRL7.1, while the remaining two QTLs viz., qCKL3.2 (qMRL3.2) and qCKL4.1 (qMRL4.1) were novel. The QTL qCKL3.2 has been bracketed to a genomic region of 0.78 Mb between the markers RM15247 and RM15281. Annotation of this region identified 18 gene models, of which the genes predicted to encode pentatricopeptides and brassinosteroid insensitive 1-associated receptor kinase 1 precursor may be the putative candidate genes. Furthermore, we identified a novel QTL qKER2.1 governing kernel elongation ratio (KER) in Basmati rice.
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Affiliation(s)
- Ankit Malik
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
- Amity Institute of Biotechnology, Amity University, Noida, India
| | - Aruna Kumar
- Amity Institute of Biotechnology, Amity University, Noida, India
| | - Ranjith Kumar Ellur
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
| | - Gopala Krishnan S
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
| | - Deepshikha Dixit
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
| | - Haritha Bollinedi
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
| | - KK Vinod
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
| | - M Nagarajan
- Rice Breeding and Genetics Research Centre, ICAR-IARI, Aduthurai, India
| | - PK Bhowmick
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
| | - NK Singh
- ICAR-National Institute for Plant Biotechnology, IARI, New Delhi, India
| | - AK Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India
- *Correspondence: AK Singh,
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Gu H, Zhang K, Gull S, Chen C, Ran J, Zou B, Wang P, Liang G. Fine Mapping of qTGW7b, a Minor Effect QTL for Grain Weight in Rice ( Oryza sativa L.). Int J Mol Sci 2022; 23:8296. [PMID: 35955422 PMCID: PMC9368273 DOI: 10.3390/ijms23158296] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/25/2022] [Accepted: 07/26/2022] [Indexed: 02/06/2023] Open
Abstract
Grain weight is a key trait that determines rice quality and yield, and it is primarily controlled by quantitative trait loci (QTL). Recently, attention has been paid to minor QTLs. A minor effect QTL qTGW7 that controls grain weight was previously identified in a set of chromosomal fragment substitution lines (CSSLs) derived from Nipponbare (NPB)/93-11. Compared to NPB, the single segment substitution line (SSSL) N83 carrying the qTGW7 introgression exhibited an increase in grain length and width and a 4.5% increase in grain weight. Meanwhile, N83 was backcrossed to NPB to create a separating population, qTGW7b, a QTL distinct from qTGW7, which was detected between markers G31 and G32. Twelve near-isogenic lines (NILs) from the BC9F3 population and progeny of five NILs from the BC9F3:4 population were genotyped and phenotyped, resulting in the fine mapping of the minor effect QTL qTGW7b to the approximately 86.2-kb region between markers G72 and G32. Further sequence comparisons and expression analysis confirmed that five genes, including Os07g39370, Os07g39430, Os07g39440, Os07g39450, and Os07g39480, were considered as the candidate genes underlying qTGW7b. These results provide a crucial foundation for further cloning of qTGW7b and molecular breeding design in rice.
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Affiliation(s)
- Houwen Gu
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
| | - Kunming Zhang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
| | - Sadia Gull
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
| | - Chuyan Chen
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
| | - Jinhui Ran
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
| | - Bingyin Zou
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
| | - Ping Wang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
| | - Guohua Liang
- Jiangsu Key Laboratory of Crop Genetics and Physiology/Key Laboratory of Plant Functional Genomics of the Ministry of Education, Agricultural College, Yangzhou University, Yangzhou 225009, China; (H.G.); (K.Z.); (S.G.); (C.C.); (J.R.); (B.Z.); (P.W.)
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Institutes of Agricultural Science and Technology Department, Yangzhou University, Yangzhou 225009, China
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Ahmar S, Gruszka D. In-Silico Study of Brassinosteroid Signaling Genes in Rice Provides Insight Into Mechanisms Which Regulate Their Expression. Front Genet 2022; 13:953458. [PMID: 35873468 PMCID: PMC9299959 DOI: 10.3389/fgene.2022.953458] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/14/2022] [Indexed: 12/14/2022] Open
Abstract
Brassinosteroids (BRs) regulate a diverse spectrum of processes during plant growth and development and modulate plant physiology in response to environmental fluctuations and stress factors. Thus, the BR signaling regulators have the potential to be targeted for gene editing to optimize the architecture of plants and make them more resilient to environmental stress. Our understanding of the BR signaling mechanism in monocot crop species is limited compared to our knowledge of this process accumulated in the model dicot species - Arabidopsis thaliana. A deeper understanding of the BR signaling and response during plant growth and adaptation to continually changing environmental conditions will provide insight into mechanisms that govern the coordinated expression of the BR signaling genes in rice (Oryza sativa) which is a model for cereal crops. Therefore, in this study a comprehensive and detailed in silico analysis of promoter sequences of rice BR signaling genes was performed. Moreover, expression profiles of these genes during various developmental stages and reactions to several stress conditions were analyzed. Additionally, a model of interactions between the encoded proteins was also established. The obtained results revealed that promoters of the 39 BR signaling genes are involved in various regulatory mechanisms and interdependent processes that influence growth, development, and stress response in rice. Different transcription factor-binding sites and cis-regulatory elements in the gene promoters were identified which are involved in regulation of the genes’ expression during plant development and reactions to stress conditions. The in-silico analysis of BR signaling genes in O. sativa provides information about mechanisms which regulate the coordinated expression of these genes during rice development and in response to other phytohormones and environmental factors. Since rice is both an important crop and the model species for other cereals, this information may be important for understanding the regulatory mechanisms that modulate the BR signaling in monocot species. It can also provide new ways for the plant genetic engineering technology by providing novel potential targets, either cis-elements or transcriptional factors, to create elite genotypes with desirable traits.
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Affiliation(s)
- Sunny Ahmar
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland
| | - Damian Gruszka
- Institute of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland
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Han Z, Li F, Qiao W, Nong B, Cheng Y, Zhang L, Huang J, Wang Y, Lou D, Ge J, Xing M, Fan W, Nie Y, Guo W, Wang S, Liu Z, Li D, Zheng X, Yang Q. Identification of candidate genes and clarification of the maintenance of the green pericarp of weedy rice grains. FRONTIERS IN PLANT SCIENCE 2022; 13:930062. [PMID: 35937328 PMCID: PMC9354532 DOI: 10.3389/fpls.2022.930062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
The weedy rice (Oryza sativa f. spontanea) pericarp has diverse colors (e.g., purple, red, light-red, and white). However, research on pericarp colors has focused on red and purple, but not green. Unlike many other common weedy rice resources, LM8 has a green pericarp at maturity. In this study, the coloration of the LM8 pericarp was evaluated at the cellular and genetic levels. First, an examination of their ultrastructure indicated that LM8 chloroplasts were normal regarding plastid development and they contained many plastoglobules from the early immature stage to maturity. Analyses of transcriptome profiles and differentially expressed genes revealed that most chlorophyll (Chl) degradation-related genes in LM8 were expressed at lower levels than Chl a/b cycle-related genes in mature pericarps, suggesting that the green LM8 pericarp was associated with inhibited Chl degradation in intact chloroplasts. Second, the F2 generation derived from a cross between LM8 (green pericarp) and SLG (white pericarp) had a pericarp color segregation ratio of 9:3:4 (green:brown:white). The bulked segregant analysis of the F2 populations resulted in the identification of 12 known genes in the chromosome 3 and 4 hotspot regions as candidate genes related to Chl metabolism in the rice pericarp. The RNA-seq and sqRT-PCR assays indicated that the expression of the Chl a/b cycle-related structural gene DVR (encoding divinyl reductase) was sharply up-regulated. Moreover, genes encoding magnesium-chelatase subunit D and the light-harvesting Chl a/b-binding protein were transcriptionally active in the fully ripened dry pericarp. Regarding the ethylene signal transduction pathway, the CTR (encoding an ethylene-responsive protein kinase) and ERF (encoding an ethylene-responsive factor) genes expression profiles were determined. The findings of this study highlight the regulatory roles of Chl biosynthesis- and degradation-related genes influencing Chl accumulation during the maturation of the LM8 pericarp.
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Affiliation(s)
- Zhenyun Han
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fei Li
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Weihua Qiao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, China
| | - Baoxuan Nong
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Yunlian Cheng
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lifang Zhang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jingfen Huang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yanyan Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Danjing Lou
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinyue Ge
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Meng Xing
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Weiya Fan
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yamin Nie
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenlong Guo
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shizhuang Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ziran Liu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Danting Li
- Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Xiaoming Zheng
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, China
- International Rice Research Institute, Metro Manila, Philippines
| | - Qingwen Yang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, China
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Shaw BP, Sekhar S, Panda BB, Sahu G, Chandra T, Parida AK. Genes determining panicle morphology and grain quality in rice ( Oryza sativa). FUNCTIONAL PLANT BIOLOGY : FPB 2022; 49:673-688. [PMID: 35598893 DOI: 10.1071/fp21346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
The world's increase in rice (Oryza sativa L.) production is not keeping up with the increase in its population. To boost the introduction of new high-yielding cultivars, knowledge is being gained on the genes and quantitative trait loci (QTLs) determining the panicle phenotype. The important are those determining yield of the crop, such as grain numbers per panicle and size and weight of the grains. Biochemical and molecular functions of many of them are understood in some details. Among these, OsCKX2 and OsSPL14 have been shown to increase panicle branching and grain numbers when overexpressed. Furthermore, miRNAs appear to play an important role in determining the panicle morphology by regulating the expressions of the genes like OsSPL14 and GRF4 involved in panicle branching and grain numbers and length. Mutations also greatly influence the grain shape and size. However, the information gained so far on the genetic regulation of grain filling and panicle morphology has not been successfully put into commercial application. Furthermore, the identification of the gene(s)/QTLs regulating panicle compactness is still lacking, which may enable the researchers to convert a compact-panicle cultivar into a lax/open one, and thereby increasing the chances of enhancing the yield of a desired compact-panicle cultivar obtained by the breeding effort.
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Affiliation(s)
| | - Sudhanshu Sekhar
- Institute of Life Sciences, Nalco Square, Bhubaneswar-751023, Odisha, India
| | | | - Gyanasri Sahu
- Institute of Life Sciences, Nalco Square, Bhubaneswar-751023, Odisha, India
| | - Tilak Chandra
- Institute of Life Sciences, Nalco Square, Bhubaneswar-751023, Odisha, India
| | - Ajay Kumar Parida
- Institute of Life Sciences, Nalco Square, Bhubaneswar-751023, Odisha, India
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50
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Zhao Y, Ma X, Zhou M, Wang J, Wang G, Su C. Validating a Major Quantitative Trait Locus and Predicting Candidate Genes Associated With Kernel Width Through QTL Mapping and RNA-Sequencing Technology Using Near-Isogenic Lines in Maize. FRONTIERS IN PLANT SCIENCE 2022; 13:935654. [PMID: 35845666 PMCID: PMC9280665 DOI: 10.3389/fpls.2022.935654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
Kernel size is an important agronomic trait for grain yield in maize. The purpose of this study was to validate a major quantitative trait locus (QTL), qKW-1, which was identified in the F2 and F2:3 populations from a cross between the maize inbred lines SG5/SG7 and to predict candidate genes for kernel width (KW) in maize. A major QTL, qKW-1, was mapped in multiple environments in our previous study. To validate and fine map qKW-1, near-isogenic lines (NILs) with 469 individuals were developed by continuous backcrossing between SG5 as the donor parent and SG7 as the recurrent parent. Marker-assisted selection was conducted from the BC2F1 generation with simple sequence repeat (SSR) markers near qKW-1. A secondary linkage map with four markers, PLK12, PLK13, PLK15, and PLK17, was developed and used for mapping the qKW-1 locus. Finally, qKW-1 was mapped between the PLK12 and PLK13 intervals, with a distance of 2.23 cM to PLK12 and 0.04 cM to PLK13, a confidence interval of 5.3 cM and a phenotypic contribution rate of 23.8%. The QTL mapping result obtained was further validated by using selected overlapping recombinant chromosomes on the target segment of maize chromosome 3. Transcriptome analysis showed that a total of 12 out of 45 protein-coding genes differentially expressed between the two parents were detected in the identified qKW-1 physical interval by blasting with the Zea_Mays_B73 v4 genome. GRMZM2G083176 encodes the Niemann-Pick disease type C, and GRMZM2G081719 encodes the nitrate transporter 1 (NRT1) protein. The two genes GRMZM2G083176 and GRMZM2G081719 were predicted to be candidate genes of qKW-1. Reverse transcription-polymerase chain reaction (RT-qPCR) validation was conducted, and the results provide further proof of the two candidate genes most likely responsible for qKW-1. The work will not only help to understand the genetic mechanisms of KW in maize but also lay a foundation for further cloning of promising loci.
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Affiliation(s)
- Yanming Zhao
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
| | - Xiaojie Ma
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
| | - Miaomiao Zhou
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
| | - Junyan Wang
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
| | - Guiying Wang
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
| | - Chengfu Su
- College of Agronomy, Qingdao Agricultural University, Qingdao, China
- Shandong Provincial Key Laboratory of Dryland Farming Technology, Qingdao Agricultural University, Qingdao, China
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