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Bian Z, Cao D, Zou Y, Xie D, Zhuang W, Sun Z, Mou N, Sun Y, Zhang C, Li Q, Liu Q, Zhang L. Genetic Dissection of Major Rice QTLs for Strong Culms and Fine Mapping of qWS5 for Breeding Application in Transplanted System. RICE (NEW YORK, N.Y.) 2024; 17:43. [PMID: 38995403 PMCID: PMC11245457 DOI: 10.1186/s12284-024-00723-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 06/30/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND Rice is one of the major staples that feeds about one half of the global populations, and it is important to identify the genetic loci for the traits related to yield improvement. Lodging will cause severe yield loss when it happens, and stem diameter has been characterized as an important trait for lodging resistance. However, most QTLs for stem diameter have not been finely dissected due to their sensitivity to environmental fluctuation. RESULT In this study, we performed QTL analysis for stem diameter using populations derived from Nipponbare (NIP) and strong culm variety YYP1, and confirmed the single and combined effect of three major QTLs by recombinant inbred lines (RILs). Based on the QTL location, we found that qWS5 is a novel QTL not well characterized before. To finely dissect the novel locus, several recombinant heterogeneous inbred families (HIFs) were selected from the RILs for linkage analysis and their derived nearly isogenic lines (NILs) were subjected to detailed trait investigation throughout different years. The HIF-NILs strategy confined the QTL to about 380 kb region supported by repeated genotype and phenotype data, and it lays the foundation for QTL cloning in the future. In addition, introgression of the QTL to an elite japonica variety SD785 was performed by successive backcrossing, and it confirmed the value of qWS5 in increasing stem diameter and other agronomic traits during rice breeding. CONCLUSIONS We prove that qWS5 is a novel QTL with relatively stable effect for stem diameter and the QTL can be finely mapped to small region by the HIF-NILs strategy. The result will facilitate the improvement of rice lodging resistance by molecular marker assisted selection breeding.
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Affiliation(s)
- Zhong Bian
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Dongping Cao
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Yiting Zou
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Dong Xie
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Wenshu Zhuang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Zixing Sun
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Nana Mou
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Yangyang Sun
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China
| | - Changquan Zhang
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Jiangsu Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, China
| | - Qianfeng Li
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Jiangsu Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, China
| | - Qiaoquan Liu
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Jiangsu Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, China.
| | - Lin Zhang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, China.
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2
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Guo S, Li Y, Wang Y, Xu Y, Li Y, Wu P, Wu J, Wang L, Liu X, Chen Z. OsmiR5519 regulates grain size and weight and down-regulates sucrose synthase gene RSUS2 in rice (Oryza sativa L.). PLANTA 2024; 259:106. [PMID: 38554181 DOI: 10.1007/s00425-024-04377-3] [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: 08/03/2023] [Accepted: 03/07/2024] [Indexed: 04/01/2024]
Abstract
MAIN CONCLUSION The up-regulation of OsmiR5519 results in the decrease of grain size, weight and seed setting rate. OsmiR5519 plays important roles in the process of grain filling and down-regulates sucrose synthase gene RSUS2. MicroRNAs (miRNAs) are one class of small non-coding RNAs that act as crucial regulators of plant growth and development. In rice, the conserved miRNAs were revealed to regulate the yield components, but the function of rice-specific miRNAs has been rarely studied. The rice-specific OsmiR5519 was found to be abundantly expressed during reproductive development, but its biological roles remain unknown. In this study, the function of rice-specific OsmiR5519 was characterized with the miR5519-overexpressing line (miR5519-OE) and miR5519-silenced line (STTM5519). At seedling stage, the content of sucrose, glucose and fructose was obviously lower in the leaves of miR5519-OE lines than those of wild-type (WT) line. The grain size and weight were decreased significantly in miR5519-OE lines, compared to those of WT rice. The cell width of hull in miR5519-OE was smaller than that in WT. The seed setting rate was notably reduced in miR5519-OE lines, but not in STTM5519 lines. Cytological observation demonstrated that the inadequate grain filling was the main reason for the decline of seed setting rate in miR5519-OE lines. The percentage of the defects of grain amounted to 40% in miR5519-OE lines, which almost equaled to the decreased value of seed setting rate. Furthermore, the sucrose synthase gene RSUS2 was identified as a target of OsmiR5519 via RNA ligase-mediated 3'-amplification of cDNA ends (3'-RLM-RACE), dual luciferase assays and transient expression assays. In summary, our results suggest that OsmiR5519 regulates grain size and weight and down-regulates RSUS2 in rice.
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Affiliation(s)
- Shengyuan Guo
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yajuan Li
- Experimental Basis and Practical Training Center, South China Agricultural University, Guangzhou, 510642, China
| | - Yan Wang
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yangwen Xu
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Yuting Li
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Ping Wu
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Jinwen Wu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, China
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Lan Wang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, China
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China
| | - Xiangdong Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China.
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, China.
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China.
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China.
| | - Zhixiong Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, China.
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, China.
- Department of Plant Breeding, College of Agriculture, South China Agricultural University, Guangzhou, 510642, China.
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642, China.
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3
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Jiang J, Wang L, Fan G, Long Y, Lu X, Wang R, Liu H, Qiu X, Zeng D, Li Z. Genetic Dissection of Panicle Morphology Traits in Super High-Yield Hybrid Rice Chaoyou 1000. PLANTS (BASEL, SWITZERLAND) 2024; 13:179. [PMID: 38256733 PMCID: PMC10818613 DOI: 10.3390/plants13020179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/26/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
The morphological characteristics of the rice panicle play a pivotal role in influencing yield. In our research, we employed F2 and F2:3 populations derived from the high-yielding hybrid rice variety Chaoyou 1000. We screened 123 pairs of molecular markers, which were available, to construct the genetic linkage map. Subsequently, we assessed the panicle morphology traits of F2 populations in Lingshui County, Hainan Province, in 2017, and F2:3 populations in Hangzhou City, Zhejiang Province, in 2018. These two locations represent two types of ecology. Hangzhou's climate is characterized by high temperatures and humidity, while Lingshui's climate is characterized by a tropical monsoon climate. In total, 33 QTLs were identified, with eight of these being newly discovered, and two of them were consistently detected in two distinct environments. We identified fourteen QTL-by-environment interactions (QEs), which collectively explained 4.93% to 59.95% of the phenotypic variation. While most of the detected QTLs are consistent with the results of previous tests, the novel-detected QTLs will lay the foundation for rice yield increase and molecular breeding.
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Affiliation(s)
- Jing Jiang
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
| | - Li Wang
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
| | - Gucheng Fan
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
| | - Yu Long
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
| | - Xueli Lu
- China National Rice Research Institute, Hangzhou 310006, China (D.Z.)
| | - Run Wang
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
| | - Haiyang Liu
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
| | - Xianjin Qiu
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
| | - Dali Zeng
- China National Rice Research Institute, Hangzhou 310006, China (D.Z.)
| | - Zhixin Li
- Institute of Crop Genetics and Breeding, Yangtze University, Jingzhou 434025, China; (J.J.); (H.L.)
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4
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Gasparis S, Miłoszewski MM. Genetic Basis of Grain Size and Weight in Rice, Wheat, and Barley. Int J Mol Sci 2023; 24:16921. [PMID: 38069243 PMCID: PMC10706642 DOI: 10.3390/ijms242316921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Grain size is a key component of grain yield in cereals. It is a complex quantitative trait controlled by multiple genes. Grain size is determined via several factors in different plant development stages, beginning with early tillering, spikelet formation, and assimilates accumulation during the pre-anthesis phase, up to grain filling and maturation. Understanding the genetic and molecular mechanisms that control grain size is a prerequisite for improving grain yield potential. The last decade has brought significant progress in genomic studies of grain size control. Several genes underlying grain size and weight were identified and characterized in rice, which is a model plant for cereal crops. A molecular function analysis revealed most genes are involved in different cell signaling pathways, including phytohormone signaling, transcriptional regulation, ubiquitin-proteasome pathway, and other physiological processes. Compared to rice, the genetic background of grain size in other important cereal crops, such as wheat and barley, remains largely unexplored. However, the high level of conservation of genomic structure and sequences between closely related cereal crops should facilitate the identification of functional orthologs in other species. This review provides a comprehensive overview of the genetic and molecular bases of grain size and weight in wheat, barley, and rice, focusing on the latest discoveries in the field. We also present possibly the most updated list of experimentally validated genes that have a strong effect on grain size and discuss their molecular function.
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Affiliation(s)
- Sebastian Gasparis
- Plant Breeding and Acclimatization Institute—National Research Institute in Radzików, 05-870 Błonie, Poland;
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5
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Nguyen HTL, Suetsugu S, Nakamura Y, Demeter Z, Zheng SH, Fujita D. Identification and characterization of stable QTLs for vascular bundle number at the panicle neck in rice ( Oryza sativa L.). BREEDING SCIENCE 2023; 73:365-372. [PMID: 38106512 PMCID: PMC10722095 DOI: 10.1270/jsbbs.23013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/11/2023] [Indexed: 12/19/2023]
Abstract
A large vascular bundle number (VBN) in the panicle neck in rice (Oryza sativa L.) is related to the ability to transport assimilates from stem and leaf to reproductive organs during seed maturation. Several quantitative trait loci (QTLs) for VBN have been identified by using segregating populations derived from a cross between indica and japonica rice cultivars. However, the detailed location, effect, and interaction of QTLs for VBN were not understood well. Here, to elucidate the genetic basis of VBN, we identified three stable QTLs for VBN-qVBN5, qVBN6 and qVBN11-by using 71 recombinant inbred lines derived from a cross between indica 'IR24' and japonica 'Asominori'. We confirmed their positions and characterized their effects by using chromosome segment substitution lines (CSSLs) with an 'IR24' genetic background. qVBN6 had the most substantial effect on VBN, followed by qVBN11 and qVBN5. We developed pyramided lines carrying two QTLs for VBN to estimate their interaction. The combination of qVBN6 and qVBN11 accumulated VBN negatively in the pyramided lines owing to the independent actions of each QTL. The QTLs detected for VBN will enhance our understanding of genetic mechanisms of VBN and can be used in rice breeding.
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Affiliation(s)
- Ha Thi Le Nguyen
- The United Graduate School of Agricultural Sciences, Kagoshima University, 1-21-24 Korimoto, Kagoshima 890-8580, Japan
- Forest Science Institute of South Vietnam, 1 Pham Van Hai, Tan Binh District, Ho Chi Minh City, Viet Nam
| | - Shizuka Suetsugu
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Yuna Nakamura
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Zita Demeter
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Shao-Hui Zheng
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
| | - Daisuke Fujita
- Faculty of Agriculture, Saga University, 1 Honjo-machi, Saga 840-8502, Japan
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6
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Yang Y, Zhang Y, Li J, Xu P, Wu Z, Deng X, Pu Q, Lv Y, Elgamal WHAS, Maniruzzaman S, Deng W, Zhou J, Tao D. Three QTL from Oryza meridionalis Could Improve Panicle Architecture in Asian Cultivated Rice. RICE (NEW YORK, N.Y.) 2023; 16:22. [PMID: 37129647 PMCID: PMC10154444 DOI: 10.1186/s12284-023-00640-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 04/20/2023] [Indexed: 05/03/2023]
Abstract
Rice panicle architecture is directly associated with grain yield and is also the key target in high-yield rice breeding program. In this study, three BC6F2 segregation populations derived from the crosses between two accessions of Oryza meridionalis and a O. sativa spp. japonica cultivar Dianjingyou 1, were employed to map QTL for panicle architecture. Three QTL, EP4.2, DEP7 and DEP8 were identified and validated using substitution mapping strategy on chromosome 4, 9 and 8, respectively. The three QTL showed pleiotropic phenotype on panicle length (PL), grain number per panicle (GNPP), number of primary branches (NPB), number of secondary branches (NSB), and grain width. DEP7 and DEP8 showed yield-enhancing potential by increasing GNPP, NPB and NSB, while EP4.2 exhibited wide grain, short stalk and panicle which can improve plant and panicle architecture, too. Moreover, epistatic interaction for PL was detected between EP4.2 and DEP7, and epistatic analysis between DEP7 and DEP8 for GNPP and NPB also revealed significant two QTL interactions. The result would help us understand the molecular basis of panicle architecture and lay the foundation for using these three QTL in rice breeding.
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Grants
- 31991221 National Natural Science Foundation of China
- 31991221 National Natural Science Foundation of China
- 31991221 National Natural Science Foundation of China
- 31991221 National Natural Science Foundation of China
- 31991221 National Natural Science Foundation of China
- 31991221 National Natural Science Foundation of China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- 202101AS070036, 202101AT070193, 202001AS070003, 202003AD150007, 530000210000000013809 Yunnan Provincial Science and Technology Department, China
- YNWR-QNBJ-2018-359 Yunnan Provincial Government
- YNWR-QNBJ-2018-359 Yunnan Provincial Government
- YNWR-QNBJ-2018-359 Yunnan Provincial Government
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Affiliation(s)
- Ying Yang
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - Yu Zhang
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - Jing Li
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - Peng Xu
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
- Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650233, China
| | - Zhijuan Wu
- School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Xianneng Deng
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - Qiuhong Pu
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - Yonggang Lv
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - Walid Hassan Ali Soliman Elgamal
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
- Rice Research Department, Field Crops Research Institute, Agricultural Research Center, Sakha, 33717, Egypt
| | - Sheikh Maniruzzaman
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
- Plant Breeding Division, Bangladesh Rice Research Institute, Gazipur, 1701, Bangladesh
| | - Wei Deng
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - Jiawu Zhou
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China.
| | - Dayun Tao
- Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China.
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7
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Zhai L, Yan A, Shao K, Wang S, Wang Y, Chen ZH, Xu J. Large Vascular Bundle Phloem Area 4 enhances grain yield and quality in rice via source-sink-flow. PLANT PHYSIOLOGY 2023; 191:317-334. [PMID: 36179092 PMCID: PMC9806617 DOI: 10.1093/plphys/kiac461] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
In rice (Oryza sativa L.), vascular bundle phloem tissue in the panicle neck is vital for the transport of photosynthetic products from leaf to panicle and is positively associated with grain yield. However, genetic regulation of the single large vascular bundle phloem area (LVPA) in rice panicle neck tissue remains poorly understood. In this study, we carried out genome-wide association analysis of LVPA in the panicle neck using 386 rice accessions and isolated and characterized the gene LVPA4, which is allelic to NARROW LEAF1 (NAL1). Phenotypic analyses were carried out on the near-isogenic line (NIL) NIL-LVPA4LT in the high-yielding indica (xian) cultivar Teqing and on overexpression lines transformed with a vector carrying the Lemont alleles of LVPA4. Both NIL-LVPA4LT and LVPA4 overexpression lines exhibited significantly increased LVPA, enlarged flag leaf size, and improved panicle type. NIL-LVPA4LT had a 7.6%-9.6% yield increase, mainly due to the significantly higher filled grain number per panicle, larger vascular system for transporting photoassimilates to spikelets, and more sufficient source supply that could service the increased sink capacity. Moreover, NIL-LVPA4LT had improved grain quality compared with Teqing, which was mainly attributed to substantial improvement in grain filling, especially for inferior spikelets in NIL-LVPA4LT. The single-nucleotide variation in the third exon of LVPA4 was associated with LVPA, spikelet number, and leaf size throughout sequencing analysis in 386 panels. The results demonstrate that LVPA4 has synergistic effects on source capacity, sink size, and flow transport and plays crucial roles in rice productivity and grain quality, thus revealing the value of LVPA4 in rice breeding programs for improved varieties.
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Affiliation(s)
- Laiyuan Zhai
- Rice Research Institute, Shenyang Agricultural University, Shenyang 110866, China
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - An Yan
- Rice Research Institute, Shenyang Agricultural University, Shenyang 110866, China
| | - Kuitian Shao
- Rice Research Institute, Shenyang Agricultural University, Shenyang 110866, China
| | - Shu Wang
- Rice Research Institute, Shenyang Agricultural University, Shenyang 110866, China
| | - Yun Wang
- Rice Research Institute, Shenyang Agricultural University, Shenyang 110866, China
| | - Zhong-Hua Chen
- School of Science, Western Sydney University, Penrith, NSW 2751, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW 2751, Australia
| | - Jianlong Xu
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, Guangdong, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, Hainan, China
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8
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Aloryi KD, Okpala NE, Amo A, Bello SF, Akaba S, Tian X. A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice. FRONTIERS IN PLANT SCIENCE 2022; 13:1035851. [PMID: 36466247 PMCID: PMC9709451 DOI: 10.3389/fpls.2022.1035851] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/19/2022] [Indexed: 06/17/2023]
Abstract
Improving grain yield potential in rice is an important step toward addressing global food security challenges. The meta-QTL analysis offers stable and robust QTLs irrespective of the genetic background of mapping populations and phenotype environment and effectively narrows confidence intervals (CI) for candidate gene (CG) mining and marker-assisted selection improvement. To achieve these aims, a comprehensive bibliographic search for grain yield traits (spikelet fertility, number of grains per panicle, panicles number per plant, and 1000-grain weight) QTLs was conducted, and 462 QTLs were retrieved from 47 independent QTL research published between 2002 and 2022. QTL projection was performed using a reference map with a cumulative length of 2,945.67 cM, and MQTL analysis was conducted on 313 QTLs. Consequently, a total of 62 MQTLs were identified with reduced mean CI (up to 3.40 fold) compared to the mean CI of original QTLs. However, 10 of these MQTLs harbored at least six of the initial QTLs from diverse genetic backgrounds and environments and were considered the most stable and robust MQTLs. Also, MQTLs were compared with GWAS studies and resulted in the identification of 16 common significant loci modulating the evaluated traits. Gene annotation, gene ontology (GO) enrichment, and RNA-seq analyses of chromosome regions of the stable MQTLs detected 52 potential CGs including those that have been cloned in previous studies. These genes encode proteins known to be involved in regulating grain yield including cytochrome P450, zinc fingers, MADs-box, AP2/ERF domain, F-box, ubiquitin ligase domain protein, homeobox domain, DEAD-box ATP domain, and U-box domain. This study provides the framework for molecular dissection of grain yield in rice. Moreover, the MQTLs and CGs identified could be useful for fine mapping, gene cloning, and marker-assisted selection to improve rice productivity.
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Affiliation(s)
- Kelvin Dodzi Aloryi
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Nnaemeka Emmanuel Okpala
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Aduragbemi Amo
- Institute of Plant Breeding, Genetics and Genomics University of Georgia, Athens, GA, United States
| | - Semiu Folaniyi Bello
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Selorm Akaba
- School of Agriculture, University of Cape Coast, Cape Coast, Ghana
| | - Xiaohai Tian
- Hubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
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9
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Liu C, Ma T, Yuan D, Zhou Y, Long Y, Li Z, Dong Z, Duan M, Yu D, Jing Y, Bai X, Wang Y, Hou Q, Liu S, Zhang J, Chen S, Li D, Liu X, Li Z, Wang W, Li J, Wei X, Ma B, Wan X. The OsEIL1-OsERF115-target gene regulatory module controls grain size and weight in rice. PLANT BIOTECHNOLOGY JOURNAL 2022; 20:1470-1486. [PMID: 35403801 PMCID: PMC9342608 DOI: 10.1111/pbi.13825] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 04/03/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
Grain size is one of the essential determinants of rice yield. Our previous studies revealed that ethylene plays an important role in grain-size control; however, the precise mechanism remains to be determined. Here, we report that the ethylene response factor OsERF115 functions as a key downstream regulator for ethylene-mediated grain development. OsERF115 encodes an AP2/ERF-type transcriptional factor that is specifically expressed in young spikelets and developing caryopses. Overexpression of OsERF115 significantly increases grain length, width, thickness and weight by promoting longitudinal elongation and transverse division of spikelet hull cells, as well as enhancing grain-filling activity, whereas its knockout mutations lead to the opposite effects, suggesting that OsERF115 positively regulates grain size and weight. OsERF115 transcription is strongly induced by ethylene, and OsEIL1 directly binds to the promoter to activate its expression. OsERF115 acts as a transcriptional repressor to directly or indirectly modulate a set of grain-size genes during spikelet growth and endosperm development. Importantly, haplotype analysis reveals that the SNP variations in the EIN3-binding sites of OsERF115 promoter are significantly associated with the OsERF115 expression levels and grain weight, suggesting that natural variations in the OsERF115 promoter contribute to grain-size diversity. In addition, the OsERF115 orthologues are identified only in grass species, implying a conserved and unique role in the grain development of cereal crops. Our results provide insights into the molecular mechanism of ethylene-mediated grain-size control and a potential strategy based on the OsEIL1-OsERF115-target gene regulatory module for genetic improvement of rice yield.
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Affiliation(s)
- Chang Liu
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Tian Ma
- Guangdong Laboratory for Lingnan Modern AgricultureCollege of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Dingyang Yuan
- State Key Laboratory of Hybrid RiceHunan Hybrid Rice Research CentreChangshaChina
- College of AgronomyHunan Agricultural UniversityChangshaChina
| | - Yang Zhou
- State Key Laboratory of Plant GenomicsInstitute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Yan Long
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Ziwen Li
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Zhenying Dong
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Meijuan Duan
- College of AgronomyHunan Agricultural UniversityChangshaChina
| | - Dong Yu
- College of AgronomyHunan Agricultural UniversityChangshaChina
| | - Yizhi Jing
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
| | - Xiaoyue Bai
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
| | - Yanbo Wang
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
| | - Quancan Hou
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Shuangshuang Liu
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Jin‐Song Zhang
- State Key Laboratory of Plant GenomicsInstitute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Shou‐Yi Chen
- State Key Laboratory of Plant GenomicsInstitute of Genetics and Developmental BiologyChinese Academy of SciencesBeijingChina
| | - Dayong Li
- National Engineering Research Center for VegetablesBeijing Vegetable Research CenterBeijing Academy of Agriculture and Forestry ScienceBeijingChina
| | - Xue Liu
- National Engineering Research Center for VegetablesBeijing Vegetable Research CenterBeijing Academy of Agriculture and Forestry ScienceBeijingChina
| | - Zhikang Li
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Wensheng Wang
- Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Jinping Li
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Xun Wei
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
| | - Biao Ma
- Guangdong Laboratory for Lingnan Modern AgricultureCollege of AgricultureSouth China Agricultural UniversityGuangzhouChina
| | - Xiangyuan Wan
- Shunde Graduate SchoolResearch Center of Biology and AgricultureZhongzhi International Institute of Agricultural BiosciencesUniversity of Science and Technology BeijingBeijingChina
- Beijing Engineering Laboratory of Main Crop Bio‐Tech BreedingBeijing International Science and Technology Cooperation Base of Bio‐Tech BreedingBeijing Solidwill Sci‐Tech Co. Ltd.BeijingChina
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10
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Kim Y, Kim GW, Han K, Lee HY, Jo J, Kwon JK, Lemmon Z, Lippman Z, Kang BC. Identification of Genetic Factors Controlling the Formation of Multiple Flowers Per Node in Pepper ( Capsicum spp.). FRONTIERS IN PLANT SCIENCE 2022; 13:884338. [PMID: 35615119 PMCID: PMC9125326 DOI: 10.3389/fpls.2022.884338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 03/29/2022] [Indexed: 06/15/2023]
Abstract
Flower production provides the foundation for crop yield and increased profits. Capsicum annuum is a pepper species with a sympodial shoot structure with solitary flowers. By contrast, C. chinense produces multiple flowers per node. C. annuum accounts for 80% of pepper production worldwide. The identification of C. chinense genes that control multiple flowers and their transfer into C. annuum may open the way to increasing fruit yield. In this study, we dissected the genetic factors were dissected controlling the multiple-flower-per-node trait in Capsicum. 85 recombinant inbred lines (RILs) between the contrasting C. annuum 'TF68' and C. chinense 'Habanero' accessions were phenotyped and genotyped. Quantitative Trait Loci (QTL) analysis identified four novel QTLs on chromosomes 1, 2, 7, and 11 that accounted for 65% of the total phenotypic variation. Genome-wide association study was also performed on a panel of 276 genotyped and phenotyped C. annuum accessions, which revealed 28 regions significantly associated with the multiple-flower trait, of which three overlapped the identified QTLs. Five candidate genes involved in the development of the shoot and flower meristems were identified and these genes could cause multiple flowers per node in pepper. These results contribute to our understanding of multiple flower formation in Capsicum and will be useful to develop high-yielding cultivars.
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Affiliation(s)
- Youngin Kim
- Department of Agriculture, Forestry and Bioresources, Research Institute of Agriculture and Life Sciences, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | - Geon Woo Kim
- Department of Agriculture, Forestry and Bioresources, Research Institute of Agriculture and Life Sciences, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | - Koeun Han
- Vegetable Research Division, National Institute of Horticultural and Herbal Science, Rural Development Administration, Jeonju, South Korea
| | - Hea-Young Lee
- Department of Agriculture, Forestry and Bioresources, Research Institute of Agriculture and Life Sciences, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | - Jinkwan Jo
- Department of Agriculture, Forestry and Bioresources, Research Institute of Agriculture and Life Sciences, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | - Jin-Kyung Kwon
- Department of Agriculture, Forestry and Bioresources, Research Institute of Agriculture and Life Sciences, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
| | | | - Zachary Lippman
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, New York, NY, United States
| | - Byoung-Cheorl Kang
- Department of Agriculture, Forestry and Bioresources, Research Institute of Agriculture and Life Sciences, Plant Genomics and Breeding Institute, College of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea
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11
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Rasheed H, Fiaz S, Khan MA, Mehmood S, Ullah F, Saeed S, Khan SU, Yaseen T, Hussain RM, Qayyum A. Characterization of functional genes GS3 and GW2 and their effect on the grain size of various landraces of rice (Oryza sativa). Mol Biol Rep 2022; 49:5397-5403. [PMID: 35025032 DOI: 10.1007/s11033-022-07119-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/04/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Grain size is an essential factor of grain quality and yield in rice. The genetic studies have substantially contributed to enhancing yield and maintaining a good quality of rice. The two major genes GS3 (a negative regulator of grain length) and GW2 (a negative regulator of grain width) with functional mutation play a significant role in controlling the grain size of rice. METHODS AND RESULTS: In the study, 17 different widely grown Pakistani landraces of various genetic and geographic backgrounds were evaluated for grain phenotypic traits (1000-grain weight, length, width, and thickness) and also screened for genotypic mutation in GS3 and GW2 genes. Phenotypic data revealed the range for grain weight from 16.86 g (Lateefy) to 26.91 g (PS2), grain length ranged from 7.27 mm (JP-5) to 12.18 mm (PS2), grain width ranged from 2.01 mm (Lateefy) to 3.51 mm (JP5), and grain thickness ranged from 1.79 mm to 2.19. Correlation revealed a negative and significant correlation between grain width and length. There was no significant correlation between grain length and 1000-grain weight and grain width. LSD test displayed that the means of three variables grain length, grain width, and 1000-grain weight were statistically different from one another except grain width and grain breadth. Fifteen accessions carried the domesticated allele of GS3 while JP5 and Fakhr-e-Malakand carried the dominant allele. Similarly, fifteen accessions carried the dominant allele of GW2 while JP-5 and Fakhr-e-Malakand carried the mutant allele. CONCLUSIONS The study shows that the mutant alleles of both genes are of significance to pyramid them in any breeding program. However, just incorporating favorable alleles is not the sole solution for improving the grain size. Therefore, further elucidation of GS3 and GW2 genes regulatory network, their interaction, trade-off, and pathways will better coordinate their marker-assisted selection in the future breeding program. Additionally, the study concluded that the selection of grain size was not dependent on 1000-grain weight in the selected germplasm.
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Affiliation(s)
- Haroon Rasheed
- Department of Botany, University of Science and Technology, Bannu, KPK, Pakistan.,Institute of Nuclear Agricultural Sciences College of Agriculture and Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou, People's Republic of China
| | - Sajid Fiaz
- Department of Plant Breeding and Genetics, The University of Haripur, Haripur, 22620, Pakistan.
| | - Muhammad Abid Khan
- Department of Botany, University of Science and Technology, Bannu, KPK, Pakistan.,Department of Botany, Ghazi University, Dera Ghazi Khan, Pakistan
| | - Sultan Mehmood
- Department of Botany, University of Science and Technology, Bannu, KPK, Pakistan
| | - Faizan Ullah
- Department of Botany, University of Science and Technology, Bannu, KPK, Pakistan
| | - Sumbul Saeed
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China
| | - Shahid Ullah Khan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
| | - Tabassam Yaseen
- Department of Botany, Bacha khan University, Charsadda, Pakistan
| | - Reem M Hussain
- State Key Laboratory of Agricultural Microbiology, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.,Faculty of Agriculture, Crop Field Department, Tishreen University, Lattakia, Syria
| | - Abdul Qayyum
- Department of Agronomy, The University of Haripur, Haripur, 22620, Pakistan
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12
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Singh A, Mathan J, Yadav A, K. Goyal A, Chaudhury A. Molecular and Transcriptional Regulation of Seed Development in Cereals: Present Status and Future Prospects. CEREAL GRAINS - VOLUME 1 2021. [DOI: 10.5772/intechopen.99318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2023]
Abstract
Cereals are a rich source of vitamins, minerals, carbohydrates, fats, oils and protein, making them the world’s most important source of nutrition. The influence of rising global population, as well as the emergence and spread of disease, has the major impact on cereal production. To meet the demand, there is a pressing need to increase cereal production. Optimal seed development is a key agronomical trait that contributes to crop yield. The seed development and maturation is a complex process that includes not only embryo and endosperm development, but also accompanied by huge physiological, biochemical, metabolic, molecular and transcriptional changes. This chapter discusses the growth of cereal seed and highlights the novel biological insights, with a focus on transgenic and new molecular breeding, as well as biotechnological intervention strategies that have improved crop yield in two major cereal crops, primarily wheat and rice, over the last 21 years (2000–2021).
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13
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Hu J, Huang L, Chen G, Liu H, Zhang Y, Zhang R, Zhang S, Liu J, Hu Q, Hu F, Wang W, Ding Y. The Elite Alleles of OsSPL4 Regulate Grain Size and Increase Grain Yield in Rice. RICE (NEW YORK, N.Y.) 2021; 14:90. [PMID: 34727228 PMCID: PMC8563897 DOI: 10.1186/s12284-021-00531-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 10/16/2021] [Indexed: 05/18/2023]
Abstract
Grain weight and grain number, the two important yield traits, are mainly determined by grain size and panicle architecture in rice. Herein, we report the identification and functional analysis of OsSPL4 in panicle and grain development of rice. Using CRISPR/Cas9 system, two elite alleles of OsSPL4 were obtained, which exhibited an increasing number of grains per panicle and grain size, resulting in increase of rice yield. Cytological analysis showed that OsSPL4 could regulate spikelet development by promoting cell division. The results of RNA-seq and qRT-PCR validations also demonstrated that several MADS-box and cell-cycle genes were up-regulated in the mutation lines. Co-expression network revealed that many yield-related genes were involved in the regulation network of OsSPL4. In addition, OsSPL4 could be cleaved by the osa-miR156 in vivo, and the OsmiR156-OsSPL4 module might regulate the grain size in rice. Further analysis indicated that the large-grain allele of OsSPL4 in indica rice might introgress from aus varieties under artificial selection. Taken together, our findings suggested that OsSPL4 could be as a key regulator of grain size by acting on cell division control and provided a strategy for panicle architecture and grain size modification for yield improvement in rice.
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Affiliation(s)
- Jihong Hu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Liyu Huang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Agriculture, Yunnan University, Kunming, 650500, China
| | - Guanglong Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Hui Liu
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
| | - Yesheng Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- BGI-Baoshan, Baoshan, 678004, Yunnan, China
| | - Ru Zhang
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Shilai Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Agriculture, Yunnan University, Kunming, 650500, China
| | - Jintao Liu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Agriculture, Yunnan University, Kunming, 650500, China
| | - Qingyi Hu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Agriculture, Yunnan University, Kunming, 650500, China
| | - Fengyi Hu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Agriculture, Yunnan University, Kunming, 650500, China.
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China.
| | - Yi Ding
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
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14
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Feng L, Ma A, Song B, Yu S, Qi X. Mapping causal genes and genetic interactions for agronomic traits using a large F2 population in rice. G3 (BETHESDA, MD.) 2021; 11:6369515. [PMID: 34515770 PMCID: PMC8527483 DOI: 10.1093/g3journal/jkab318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 08/26/2021] [Indexed: 11/13/2022]
Abstract
Dissecting the genetic mechanisms underlying agronomic traits is of great importance for crop breeding. Agronomic traits are usually controlled by multiple quantitative trait loci (QTLs) and genetic interactions, and mapping the underlying causal genes is still labor-intensive and time-consuming. Here, we present a genetic tool for directly targeting the specific causal genes by using a single-gene resolution linkage map that was constructed from 3756 F2 rice plants via targeted sequencing technology and Tukey-Kramer multiple comparisons test. Three large- and moderate-effect QTLs, qHD6-2, qGL3-1, and qGW5-2, were successfully mapped to their specific causal genes, Hd1, GS3, and GW5, respectively. A complex genetic interaction network containing 30 QTL-QTL interactions was constructed, revealing that the alternative allele of hub QTL, qHD6-2, can hide or release the genetic contributions of the alleles at interacting loci. Moreover, arranging genetic interactions in the models lead to more accurate phenotypic predictions. These results provide a community resource and new feasible strategy for deciphering the genetic mechanisms of complex agronomic traits and accelerating crop breeding.
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Affiliation(s)
- Laibao Feng
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
| | - Aimin Ma
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
| | - Bo Song
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
| | - Sibin Yu
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Xiaoquan Qi
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.,Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100049, China
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15
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Cheng YC, Li G, Yin M, Adegoke TV, Wang YF, Tong XH, Zhang J, Ying JZ. Verification and dissection of one quantitative trait locus for grain size and weight on chromosome 1 in rice. Sci Rep 2021; 11:18252. [PMID: 34521909 PMCID: PMC8440748 DOI: 10.1038/s41598-021-97622-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 08/23/2021] [Indexed: 11/09/2022] Open
Abstract
Grain size and weight are the key traits determining rice quality and yield and are mainly controlled by quantitative trait loci (QTL). In this study, one minor QTL that was previously mapped in the marker interval of JD1009-JD1019 using the Huanghuazhan/Jizi1560 (HHZ/JZ1560) recombinant inbred line (RIL) population, qTGW1-2, was validated to regulate grain size and weight across four rice-growing seasons using twenty-one near isogenic line (NIL)-F2 populations. The twenty-one populations were in two types of genetic background that were derived from the same parents HHZ and JZ1560. Twelve F9, F10 or F11 NIL-F2 populations with the sequential residual heterozygous regions covering JD1009-RM6840 were developed from one residual heterozygote (RH) in the HHZ/JZ1560 RIL population, and the remaining nine BC3F3, BC3F4 or BC3F5 NIL-F2 populations with the sequential residual heterozygous regions covering JD1009-RM6840 were constructed through consecutive backcrosses to the recurrent parent HHZ followed with marker assistant selection in each generation. Based on the QTL analysis of these genetic populations, qTGW1-2 was successfully confirmed to control grain length, width and weight and further dissected into two QTLs, qTGW1-2a and qTGW1-2b, which were respectively narrowed down to the marker intervals of JD1139-JD1127 (~ 978.2-kb) and JD1121-JD1102 (~ 54.8-kb). Furthermore, the two types of NIL-F2 populations were proved to be able to decrease the genetic background noise and increase the detection power of minor QTL. These results provided an important basis for further map-based cloning and molecular design breeding with the two QTLs in rice.
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Affiliation(s)
- Yi-Chen Cheng
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China
| | - Guan Li
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China
| | - Man Yin
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China
| | - Tosin Victor Adegoke
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yi-Feng Wang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China
| | - Xiao-Hong Tong
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China
| | - Jian Zhang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China.
| | - Jie-Zheng Ying
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006, China. .,State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an, 311300, Zhejiang Province, China.
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16
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Zhong H, Liu S, Sun T, Kong W, Deng X, Peng Z, Li Y. Multi-locus genome-wide association studies for five yield-related traits in rice. BMC PLANT BIOLOGY 2021; 21:364. [PMID: 34376143 PMCID: PMC8353822 DOI: 10.1186/s12870-021-03146-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 07/27/2021] [Indexed: 05/14/2023]
Abstract
BACKGROUND Improving the overall production of rice with high quality is a major target of breeders. Mining potential yield-related loci have been geared towards developing efficient rice breeding strategies. In this study, one single-locus genome-wide association studies (SL-GWAS) method (MLM) in conjunction with five multi-locus genome-wide association studies (ML-GWAS) approaches (mrMLM, FASTmrMLM, pLARmEB, pKWmEB, and ISIS EM-BLASSO) were conducted in a panel consisting of 529 rice core varieties with 607,201 SNPs. RESULTS A total of 152, 106, 12, 111, and 64 SNPs were detected by the MLM model associated with the five yield-related traits, namely grain length (GL), grain width (GW), grain thickness (GT), thousand-grain weight (TGW), and yield per plant (YPP), respectively. Furthermore, 74 significant quantitative trait nucleotides (QTNs) were presented across at least two ML-GWAS methods to be associated with the above five traits successively. Finally, 20 common QTNs were simultaneously discovered by both SL-GWAS and ML-GWAS methods. Based on genome annotation, gene expression analysis, and previous studies, two candidate key genes (LOC_Os09g02830 and LOC_Os07g31450) were characterized to affect GW and TGW, separately. CONCLUSIONS These outcomes will provide an indication for breeding high-yielding rice varieties in the immediate future.
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Affiliation(s)
- Hua Zhong
- State Key Laboratory of Hybrid Rice, Key Laboratory for Research and Utilization of Heterosis in Indica Rice, Ministry of Agriculture, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China, 430072
| | - Shuai Liu
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, 39762, USA
| | - Tong Sun
- State Key Laboratory of Hybrid Rice, Key Laboratory for Research and Utilization of Heterosis in Indica Rice, Ministry of Agriculture, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China, 430072
| | - Weilong Kong
- State Key Laboratory of Hybrid Rice, Key Laboratory for Research and Utilization of Heterosis in Indica Rice, Ministry of Agriculture, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China, 430072
| | - Xiaoxiao Deng
- State Key Laboratory of Hybrid Rice, Key Laboratory for Research and Utilization of Heterosis in Indica Rice, Ministry of Agriculture, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China, 430072
| | - Zhaohua Peng
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Starkville, MS, 39762, USA
| | - Yangsheng Li
- State Key Laboratory of Hybrid Rice, Key Laboratory for Research and Utilization of Heterosis in Indica Rice, Ministry of Agriculture, College of Life Sciences, Wuhan University, Wuhan, People's Republic of China, 430072.
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17
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Zheng Y, Hou P, Zhu L, Song W, Liu H, Huang Y, Wang H, Guo J. Genome-Wide Association Study of Vascular Bundle-Related Traits in Maize Stalk. FRONTIERS IN PLANT SCIENCE 2021; 12:699486. [PMID: 34504506 PMCID: PMC8423097 DOI: 10.3389/fpls.2021.699486] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 06/18/2021] [Indexed: 06/13/2023]
Abstract
The vascular bundle plays an important role in nutrient transportation in plants and exerts great influence on crop yield. Maize is widely used for food, feed, and fuel, producing the largest yield in the world. However, genes and molecular mechanism controlling vascular bundle-related traits in maize have largely remained undiscovered. In this study, a natural population containing 248 diverse maize inbred lines genotyped with high-throughput SNP markers was used for genome-wide association study. The results showed that broad variations existed for the vascular bundle-related traits which are subject to genetic structure and it was suitable for association analysis. In this study, we identified 15, 13, 2, 1, and 5 SNPs significantly associated with number of small vascular bundle, number of large vascular bundle, average area of single small vascular bundle, average area of single large vascular bundle, and cross-sectional area, respectively. The 210 candidate genes in the confidence interval can be classified into ten biological processes, three cellular components, and eight molecular functions. As for the Kyoto Encyclopedia of Genes and Genomes analysis of the candidate genes, a total of six pathways were identified. Finally, we found five genes related to vascular development, three genes related to cell wall, and two genes related to the mechanical strength of the stalk. Our results provide the further understanding of the genetic foundation of vascular bundle-related traits in maize stalk.
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Affiliation(s)
- Yunxiao Zheng
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Sub-center for National Maize Improvement Center, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Peng Hou
- Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liying Zhu
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Sub-center for National Maize Improvement Center, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Weibin Song
- State Key Laboratory of Agrobiotechnology, National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Han Liu
- State Key Laboratory of Agrobiotechnology, National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
- Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Yaqun Huang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Sub-center for National Maize Improvement Center, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Hong Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Sub-center for National Maize Improvement Center, College of Agronomy, Hebei Agricultural University, Baoding, China
| | - Jinjie Guo
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Sub-center for National Maize Improvement Center, College of Agronomy, Hebei Agricultural University, Baoding, China
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Khong GN, Le NT, Pham MT, Adam H, Gauron C, Le HQ, Pham DT, Colonges K, Pham XH, Do VN, Lebrun M, Jouannic S. A cluster of Ankyrin and Ankyrin-TPR repeat genes is associated with panicle branching diversity in rice. PLoS Genet 2021; 17:e1009594. [PMID: 34097698 PMCID: PMC8211194 DOI: 10.1371/journal.pgen.1009594] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/17/2021] [Accepted: 05/10/2021] [Indexed: 12/13/2022] Open
Abstract
The number of grains per panicle is an important yield-related trait in cereals which depends in part on panicle branching complexity. One component of this complexity is the number of secondary branches per panicle. Previously, a GWAS site associated with secondary branch and spikelet numbers per panicle in rice was identified. Here we combined gene capture, bi-parental genetic population analysis, expression profiling and transgenic approaches in order to investigate the functional significance of a cluster of 6 ANK and ANK-TPR genes within the QTL. Four of the ANK and ANK-TPR genes present a differential expression associated with panicle secondary branch number in contrasted accessions. These differential expression patterns correlate in the different alleles of these genes with specific deletions of potential cis-regulatory sequences in their promoters. Two of these genes were confirmed through functional analysis as playing a role in the control of panicle architecture. Our findings indicate that secondary branching diversity in the rice panicle is governed in part by differentially expressed genes within this cluster encoding ANK and ANK-TPR domain proteins that may act as positive or negative regulators of panicle meristem’s identity transition from indeterminate to determinate state. Grain yield is one of the most important indexes in rice breeding, which is controlled in part by panicle branching complexity. A new QTL with co-location of spikelet number (SpN) and secondary branch number (SBN) traits was identified by genome-wide association study in a Vietnamese rice landrace panel. A set of four Ankyrin and Tetratricopeptide repeat domain-encoding genes was identified from this QTL based on their difference of expression levels between two contrasted haplotypes for the SpN and SBN traits. The differential expression is correlated with deletions in the promoter regions of these genes. Two of the genes act as negative regulators of the panicle meristem’s identity transition from indeterminate to determinate state while the other two act as positive regulators of this meristem fate transition. Based on the different phenotypes between overexpressed and mutant plants, two of these genes were confirmed as playing a role in the control of panicle architecture. These findings can be directly used to assist selection for grain yield improvement.
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Affiliation(s)
- Giang Ngan Khong
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- * E-mail: (GNK); (SJ)
| | - Nhu Thi Le
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Mai Thi Pham
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Helene Adam
- UMR DIADE, University of Montpellier, IRD, Montpellier, France
| | - Carole Gauron
- UMR DIADE, University of Montpellier, IRD, Montpellier, France
| | - Hoa Quang Le
- School of Biotechnology and Food Technology, Hanoi University of Science and Technology, Hanoi, Vietnam
| | - Dung Tien Pham
- School of Biotechnology and Food Technology, Hanoi University of Science and Technology, Hanoi, Vietnam
| | - Kelly Colonges
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Xuan Hoi Pham
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Vinh Nang Do
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Michel Lebrun
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- UMR LSTM, University of Montpellier, IRD, CIRAD, INRAE, SupAgro, Montpellier, France
| | - Stefan Jouannic
- LMI RICE, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- UMR DIADE, University of Montpellier, IRD, Montpellier, France
- * E-mail: (GNK); (SJ)
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19
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Jeon YA, Lee HS, Kim SH, Shim KC, Kang JW, Kim HJ, Tai TH, Ahn SN. Natural variation in rice ascorbate peroxidase gene APX9 is associated with a yield-enhancing QTL cluster. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:4254-4268. [PMID: 33831183 PMCID: PMC8163052 DOI: 10.1093/jxb/erab155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 04/04/2021] [Indexed: 05/08/2023]
Abstract
We previously identified a cluster of yield-related quantitative trait loci (QTLs) including plant height in CR4379, a near-isogenic line from a cross between Oryza sativa spp. japonica cultivar 'Hwaseong' and the wild relative Oryza rufipogon. Map-based cloning and transgenic approaches revealed that APX9, which encodes an l-ascorbate peroxidase 4, is associated with this cluster. A 3 bp InDel was observed leading to the addition of a valine in Hwaseong compared with O. rufipogon. APX9-overexpressing transgenic plants in the Hwaseong background were taller than Hwaseong. Consistent with these results, APX9 T-DNA insertion mutants in the japonica cultivar Dongjin were shorter. These results confirm that APX9 is the causal gene for the QTL cluster. Sequence analysis of APX9 from 303 rice accessions revealed that the 3 bp InDel clearly differentiates japonica (APX9HS) and O. rufipogon (APX9OR) alleles. indica accessions shared both alleles, suggesting that APX9HS was introgressed into indica followed by crossing. The finding that O. rufipogon accessions with different origins carry APX9OR suggests that the 3 bp insertion was specifically selected in japonica during its domestication. Our findings demonstrate that APX9 acts as a major regulator of plant development by controlling a valuable suite of agronomically important traits in rice.
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Affiliation(s)
- Yun-A Jeon
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Hyun-Sook Lee
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Sun-Ha Kim
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Kyu-Chan Shim
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Ju-Won Kang
- Department of Southern Area Crop Science, Rural Development Administration, Miryang 50424, Republic of Korea
| | | | - Thomas H Tai
- USDA-ARS Crops Pathology and Genetics Research Unit, Davis, CA 95616, USA
- Department of Plant Sciences, University of California, Davis, CA 95616, USA
| | - Sang-Nag Ahn
- Department of Agronomy, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea
- Correspondence:
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El Hage F, Virlouvet L, Lopez-Marnet PL, Griveau Y, Jacquemot MP, Coursol S, Méchin V, Reymond M. Responses of Maize Internode to Water Deficit Are Different at the Biochemical and Histological Levels. FRONTIERS IN PLANT SCIENCE 2021; 12:628960. [PMID: 33719300 PMCID: PMC7952650 DOI: 10.3389/fpls.2021.628960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/22/2021] [Indexed: 06/12/2023]
Abstract
Maize feeding value is strongly linked to plant digestibility. Cell wall composition and structure can partly explain cell wall digestibility variations, and we recently showed that tissue lignification and lignin spatial distribution also contribute to cell wall digestibility variations. Although the genetic determinism of digestibility and cell wall composition has been studied for more than 20 years, little is available concerning that of tissue lignification. Moreover, maize yield is negatively impacted by water deficit, and we newly highlighted the impact of water deficit on cell wall digestibility and composition together with tissue lignification. Consequently, the aim of this study was to explore the genetic mechanisms of lignin distribution in link with cell wall composition and digestibility under contrasted water regimes. Maize internodes from a recombinant inbred line (RIL) population grown in field trials with contrasting irrigation scenarios were biochemically and histologically quantified. Results obtained showed that biochemical and histological traits have different response thresholds to water deficit. Histological profiles were therefore only modified under pronounced water deficit, while most of the biochemical traits responded whatever the strength of the water deficit. Three main clusters of quantitative trait locus (QTL) for histological traits were detected. Interestingly, overlap between the biochemical and histological clusters is rare, and one noted especially colocalizations between histological QTL/clusters and QTL for p-coumaric acid content. These findings reinforce the suspected role of tissue p-coumaroylation for both the agronomic properties of plants as well as their digestibility.
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Affiliation(s)
- Fadi El Hage
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
- Ecole Doctorale n° 567: Science du Végétal: Du gène à l’écosystème, Université Paris-Saclay, Orsay, France
| | - Laetitia Virlouvet
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
| | - Paul-Louis Lopez-Marnet
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
- Ecole Doctorale n° 581: ABIES, Paris, France
| | - Yves Griveau
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
| | - Marie-Pierre Jacquemot
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
| | - Sylvie Coursol
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
| | - Valérie Méchin
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
| | - Matthieu Reymond
- Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, Versailles, France
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21
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Zhang Y, Wang J, Du J, Zhao Y, Lu X, Wen W, Gu S, Fan J, Wang C, Wu S, Wang Y, Liao S, Zhao C, Guo X. Dissecting the phenotypic components and genetic architecture of maize stem vascular bundles using high-throughput phenotypic analysis. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:35-50. [PMID: 32569428 PMCID: PMC7769239 DOI: 10.1111/pbi.13437] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 06/03/2020] [Accepted: 06/15/2020] [Indexed: 05/27/2023]
Abstract
High-throughput phenotyping is increasingly becoming an important tool for rapid advancement of genetic gain in breeding programmes. Manual phenotyping of vascular bundles is tedious and time-consuming, which lags behind the rapid development of functional genomics in maize. More robust and automated techniques of phenotyping vascular bundles traits at high-throughput are urgently needed for large crop populations. In this study, we developed a standard process for stem micro-CT data acquisition and an automatic CT image process pipeline to obtain vascular bundle traits of stems including geometry-related, morphology-related and distribution-related traits. Next, we analysed the phenotypic variation of stem vascular bundles between natural population subgroup (480 inbred lines) based on 48 comprehensively phenotypic information. Also, the first database for stem micro-phenotypes, MaizeSPD, was established, storing 554 pieces of basic information of maize inbred lines, 523 pieces of experimental information, 1008 pieces of CT scanning images and processed images, and 24 192 pieces of phenotypic data. Combined with genome-wide association studies (GWASs), a total of 1562 significant single nucleotide polymorphism (SNPs) were identified for 30 stem micro-phenotypic traits, and 84 unique genes of 20 traits such as VBNum, VBAvArea and PZVBDensity were detected. Candidate genes identified by GWAS mainly encode enzymes involved in cell wall metabolism, transcription factors, protein kinase and protein related to plant signal transduction and stress response. The results presented here will advance our knowledge about phenotypic trait components of stem vascular bundles and provide useful information for understanding the genetic controls of vascular bundle formation and development.
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Affiliation(s)
- Ying Zhang
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Jinglu Wang
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Jianjun Du
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Yanxin Zhao
- Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular BreedingMaize Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Xianju Lu
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Weiliang Wen
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Shenghao Gu
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Jiangchuan Fan
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Chuanyu Wang
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Sheng Wu
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Yongjian Wang
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Shengjin Liao
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Chunjiang Zhao
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
| | - Xinyu Guo
- Beijing Key Lab of Digital PlantNational Engineering Research Center for Information Technology in AgricultureBeijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina
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22
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Bhat MA, Bhat MA, Kumar V, Wani IA, Bashir H, Shah AA, Rahman S, Jan AT. The era of editing plant genomes using CRISPR/Cas: A critical appraisal. J Biotechnol 2020; 324:34-60. [DOI: 10.1016/j.jbiotec.2020.09.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 09/08/2020] [Accepted: 09/14/2020] [Indexed: 12/11/2022]
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23
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Gouda G, Gupta MK, Donde R, Kumar J, Parida M, Mohapatra T, Dash SK, Pradhan SK, Behera L. Characterization of haplotypes and single nucleotide polymorphisms associated with Gn1a for high grain number formation in rice plant. Genomics 2020; 112:2647-2657. [PMID: 32087244 DOI: 10.1016/j.ygeno.2020.02.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 01/07/2020] [Accepted: 02/18/2020] [Indexed: 01/03/2023]
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24
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Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice. BMC Genomics 2020; 21:294. [PMID: 32272882 PMCID: PMC7146888 DOI: 10.1186/s12864-020-6702-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 03/25/2020] [Indexed: 11/29/2022] Open
Abstract
Background Improving yield and yield-related traits is the crucial goal in breeding programmes of cereals. Meta-QTL (MQTL) analysis discovers the most stable QTLs regardless of populations genetic background and field trial conditions and effectively narrows down the confidence interval (CI) for identification of candidate genes (CG) and markers development. Results A comprehensive MQTL analysis was implemented on 1052 QTLs reported for yield (YLD), grain weight (GW), heading date (HD), plant height (PH) and tiller number (TN) in 122 rice populations evaluated under normal condition from 1996 to 2019. Consequently, these QTLs were confined into 114 MQTLs and the average CI was reduced up to 3.5 folds in compare to the mean CI of the original QTLs with an average of 4.85 cM CI in the resulted MQTLs. Among them, 27 MQTLs with at least five initial QTLs from independent studies were considered as the most stable QTLs over different field trials and genetic backgrounds. Furthermore, several known and novel CGs were detected in the high confident MQTLs intervals. The genomic distribution of MQTLs indicated the highest density at subtelomeric chromosomal regions. Using the advantage of synteny and comparative genomics analysis, 11 and 15 ortho-MQTLs were identified at co-linear regions between rice with barley and maize, respectively. In addition, comparing resulted MQTLs with GWAS studies led to identification of eighteen common significant chromosomal regions controlling the evaluated traits. Conclusion This comprehensive analysis defines a genome wide landscape on the most stable loci associated with reliable genetic markers and CGs for yield and yield-related traits in rice. Our findings showed that some of these information are transferable to other cereals that lead to improvement of their breeding programs.
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25
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Solis CA, Yong MT, Vinarao R, Jena K, Holford P, Shabala L, Zhou M, Shabala S, Chen ZH. Back to the Wild: On a Quest for Donors Toward Salinity Tolerant Rice. FRONTIERS IN PLANT SCIENCE 2020; 11:323. [PMID: 32265970 PMCID: PMC7098918 DOI: 10.3389/fpls.2020.00323] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 03/05/2020] [Indexed: 05/20/2023]
Abstract
Salinity stress affects global food producing areas by limiting both crop growth and yield. Attempts to develop salinity-tolerant rice varieties have had limited success due to the complexity of the salinity tolerance trait, high variation in the stress response and a lack of available donors for candidate genes for cultivated rice. As a result, finding suitable donors of genes and traits for salinity tolerance has become a major bottleneck in breeding for salinity tolerant crops. Twenty-two wild Oryza relatives have been recognized as important genetic resources for quantitatively inherited traits such as resistance and/or tolerance to abiotic and biotic stresses. In this review, we discuss the challenges and opportunities of such an approach by critically analyzing evolutionary, ecological, genetic, and physiological aspects of Oryza species. We argue that the strategy of rice breeding for better Na+ exclusion employed for the last few decades has reached a plateau and cannot deliver any further improvement in salinity tolerance in this species. This calls for a paradigm shift in rice breeding and more efforts toward targeting mechanisms of the tissue tolerance and a better utilization of the potential of wild rice where such traits are already present. We summarize the differences in salinity stress adaptation amongst cultivated and wild Oryza relatives and identify several key traits that should be targeted in future breeding programs. This includes: (1) efficient sequestration of Na+ in mesophyll cell vacuoles, with a strong emphasis on control of tonoplast leak channels; (2) more efficient control of xylem ion loading; (3) efficient cytosolic K+ retention in both root and leaf mesophyll cells; and (4) incorporating Na+ sequestration in trichrome. We conclude that while amongst all wild relatives, O. rufipogon is arguably a best source of germplasm at the moment, genes and traits from the wild relatives, O. coarctata, O. latifolia, and O. alta, should be targeted in future genetic programs to develop salt tolerant cultivated rice.
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Affiliation(s)
- Celymar A. Solis
- School of Science, Western Sydney University, Penrith, NSW, Australia
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS, Australia
| | - Miing T. Yong
- School of Science, Western Sydney University, Penrith, NSW, Australia
| | - Ricky Vinarao
- International Rice Research Institute, Metro Manila, Philippines
| | - Kshirod Jena
- International Rice Research Institute, Metro Manila, Philippines
| | - Paul Holford
- School of Science, Western Sydney University, Penrith, NSW, Australia
| | - Lana Shabala
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS, Australia
| | - Meixue Zhou
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS, Australia
| | - Sergey Shabala
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS, Australia
- International Research Centre for Environmental Membrane Biology, Foshan University, Foshan, China
| | - Zhong-Hua Chen
- School of Science, Western Sydney University, Penrith, NSW, Australia
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
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26
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Harrop TWR, Mantegazza O, Luong AM, Béthune K, Lorieux M, Jouannic S, Adam H. A set of AP2-like genes is associated with inflorescence branching and architecture in domesticated rice. JOURNAL OF EXPERIMENTAL BOTANY 2019; 70:5617-5629. [PMID: 31346594 PMCID: PMC6812710 DOI: 10.1093/jxb/erz340] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 07/15/2019] [Indexed: 05/25/2023]
Abstract
Rice yield is influenced by inflorescence size and architecture, and inflorescences from domesticated rice accessions produce more branches and grains. Neither the molecular control of branching nor the developmental differences between wild and domesticated rice accessions are fully understood. We surveyed phenotypes related to branching, size, and grain yield across 91 wild and domesticated African and Asian accessions. Characteristics related to axillary meristem identity were the main phenotypic differences between inflorescences from wild and domesticated accessions. We used whole transcriptome sequencing in developing inflorescences to measure gene expression before and after the transition from branching axillary meristems to determinate spikelet meristems. We identified a core set of genes associated with axillary meristem identity in Asian and African rice, and another set associated with phenotypic variability between wild and domesticated accessions. AP2/EREBP-like genes were enriched in both sets, suggesting that they are key factors in inflorescence branching and rice domestication. Our work has identified new candidates in the molecular control of inflorescence development and grain yield, and provides a detailed description of the effects of domestication on phenotype and gene expression.
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Affiliation(s)
- Thomas W R Harrop
- Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, Dunedin, Aotearoa, New Zealand
| | | | - Ai My Luong
- University of Montpellier, DIADE, IRD, France
| | | | - Mathias Lorieux
- Rice genetics and Genomics Laboratory, International Center for Tropical Agriculture, Cali 6713, Colombia
| | | | - Hélène Adam
- University of Montpellier, DIADE, IRD, France
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27
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Abstract
Early seedling establishment in rice (Oryza sativa L.), which is measured by primary/secondary tiller, shoot length, biomass, root-related traits, and leaf area index, is an important trait because it helps to compete for light, air, and water for better tolerating various abiotic stresses. Consequently, it can affect the yield. However, there are not many research studies on this subject. Furthermore, previous studies have only measured the target traits once. However, this does not reflect the variation of growth rate during the seedling stage. Thus, two data points, two weeks and four weeks after planting, were used in the current study. As a result, two QTL regions were detected for the growth differences via plant height and green area (reflecting tillering). We expect that these results can be utilized by breeders to evaluate and select vigorous seedlings for their breeding programs.
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28
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Fei C, Geng X, Xu Z, Xu Q. Multiple areas investigation reveals the genes related to vascular bundles in rice. RICE (NEW YORK, N.Y.) 2019; 12:17. [PMID: 30900100 PMCID: PMC6428884 DOI: 10.1186/s12284-019-0278-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Accepted: 03/14/2019] [Indexed: 05/30/2023]
Abstract
BACKGROUND The vascular bundle in the panicle neck is a crucial trait in rice (Oryza sativa) production that differs between the indica and japonica subspecies. However, the effect of indica/japonica genetic background on the vascular bundles remains unknown. RESULTS A series of recombinant inbred lines (RILs) derived from a cross between japonica and indica were planted in three areas. High-throughput sequencing was conducted to determine the indica pedigree percentage and for quantitative trait locus (QTL) analysis. The indica pedigree affected the number of large vascular bundles (LVBs), but not the number of small vascular bundles (SVBs). QTL analysis identified a locus (qLVB9) that was pleiotropic for both LVBs and SVBs in all three areas, and qLVB9 appeared synonymous with DENSE AND ERECT PANICLE 1 (DEP1). Using CRISPR/Cas9 gene editing and gene overexpression technology, we confirmed that the truncated dep1 allele increased the number of LVBs, and resulted in LVBs more closely associated to the indica pedigree. RNA sequencing showed that the truncated dep1 allele downregulated the AP2-like gene family. The double mutant for the DEP1 and AP2-like genes (OsAP2-39) showed decreased endogenous abscisic acid (ABA) level and insensitivity to exogenous ABA treatment, confirming that both DEP1 and OsAP2-39 are involved in the ABA response mechanism. CONCLUSIONS The present study showed the qLVB9/DEP1 affects LVBs, and involved in ABA signaling via regulating the AP2-like gene family. These results offer new insights into the function of qLVB9/DEP1 in rice.
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Affiliation(s)
- Cheng Fei
- Rice Research Institute of Shenyang Agricultural University, Shenyang, 110866, China
| | - Xin Geng
- Rice Research Institute of Shenyang Agricultural University, Shenyang, 110866, China
| | - Zhengjin Xu
- Rice Research Institute of Shenyang Agricultural University, Shenyang, 110866, China
| | - Quan Xu
- Rice Research Institute of Shenyang Agricultural University, Shenyang, 110866, China.
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Sedeek KEM, Mahas A, Mahfouz M. Plant Genome Engineering for Targeted Improvement of Crop Traits. FRONTIERS IN PLANT SCIENCE 2019; 10:114. [PMID: 30809237 PMCID: PMC6379297 DOI: 10.3389/fpls.2019.00114] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 01/23/2019] [Indexed: 05/18/2023]
Abstract
To improve food security, plant biology research aims to improve crop yield and tolerance to biotic and abiotic stress, as well as increasing the nutrient contents of food. Conventional breeding systems have allowed breeders to produce improved varieties of many crops; for example, hybrid grain crops show dramatic improvements in yield. However, many challenges remain and emerging technologies have the potential to address many of these challenges. For example, site-specific nucleases such as TALENs and CRISPR/Cas systems, which enable high-efficiency genome engineering across eukaryotic species, have revolutionized biological research and its applications in crop plants. These nucleases have been used in diverse plant species to generate a wide variety of site-specific genome modifications through strategies that include targeted mutagenesis and editing for various agricultural biotechnology applications. Moreover, CRISPR/Cas genome-wide screens make it possible to discover novel traits, expand the range of traits, and accelerate trait development in target crops that are key for food security. Here, we discuss the development and use of various site-specific nuclease systems for different plant genome-engineering applications. We highlight the existing opportunities to harness these technologies for targeted improvement of traits to enhance crop productivity and resilience to climate change. These cutting-edge genome-editing technologies are thus poised to reshape the future of agriculture and food security.
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Affiliation(s)
| | | | - Magdy Mahfouz
- Laboratory for Genome Engineering and Synthetic Biology, Division of Biological Sciences, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
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30
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TA KN, KHONG NG, HA TL, NGUYEN DT, MAI DC, HOANG TG, PHUNG TPN, BOURRIE I, COURTOIS B, TRAN TTH, DINH BY, LA TN, DO NV, LEBRUN M, GANTET P, JOUANNIC S. A genome-wide association study using a Vietnamese landrace panel of rice (Oryza sativa) reveals new QTLs controlling panicle morphological traits. BMC PLANT BIOLOGY 2018; 18:282. [PMID: 30428844 PMCID: PMC6234598 DOI: 10.1186/s12870-018-1504-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 10/26/2018] [Indexed: 05/20/2023]
Abstract
CONTEXT Yield improvement is an important issue for rice breeding. Panicle architecture is one of the key components of rice yield and exhibits a large diversity. To identify the morphological and genetic determinants of panicle architecture, we performed a detailed phenotypic analysis and a genome-wide association study (GWAS) using an original panel of Vietnamese landraces. RESULTS Using a newly developed image analysis tool, morphological traits of the panicles were scored over two years: rachis length; primary, secondary and tertiary branch number; average length of primary and secondary branches; average length of internode on rachis and primary branch. We observed a high contribution of spikelet number and secondary branch number per panicle to the overall phenotypic diversity in the dataset. Twenty-nine stable QTLs associated with seven traits were detected through GWAS over the two years. Some of these QTLs were associated with genes already implicated in panicle development. Importantly, the present study revealed the existence of new QTLs associated with the spikelet number, secondary branch number and primary branch number traits. CONCLUSIONS Our phenotypic analysis of panicle architecture variation suggests that with the panel of samples used, morphological diversity depends largely on the balance between indeterminate vs. determinate axillary meristem fate on primary branches, supporting the notion of differences in axillary meristem fate between rachis and primary branches. Our genome-wide association study led to the identification of numerous genomic sites covering all the traits studied and will be of interest for breeding programs aimed at improving yield. The new QTLs detected in this study provide a basis for the identification of new genes controlling panicle development and yield in rice.
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Affiliation(s)
- Kim Nhung TA
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- Present address: Plant Genetics Laboratory, National Institute of Genetics, Mishima, Japan
| | - Ngan Giang KHONG
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- Present address: Department of Molecular Biology, Palacký University, Olomouc, Czech Republic
| | - Thi Loan HA
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Dieu Thu NGUYEN
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Duc Chung MAI
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Thi Giang HOANG
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Thi Phuong Nhung PHUNG
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | | | - Brigitte COURTOIS
- CIRAD, UMR AGAP, University of Montpellier, INRA, Montpellier, France
| | | | | | | | - Nang Vinh DO
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
| | - Michel LEBRUN
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- UMR LSTM, University of Montpellier, CIRAD, IRD, Montpellier, France
| | - Pascal GANTET
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- UMR DIADE, University of Montpellier, IRD, Montpellier, France
| | - Stefan JOUANNIC
- LMI RICE, University of Montpellier, IRD, CIRAD, USTH, National Key Laboratory for Plant Cell Biotechnology, Agronomical Genetics Institute, Hanoi, Vietnam
- UMR DIADE, University of Montpellier, IRD, Montpellier, France
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Zhai L, Zheng T, Wang X, Wang Y, Chen K, Wang S, Wang Y, Xu J, Li Z. QTL mapping and candidate gene analysis of peduncle vascular bundle related traits in rice by genome-wide association study. RICE (NEW YORK, N.Y.) 2018; 11:13. [PMID: 29511908 PMCID: PMC5840110 DOI: 10.1186/s12284-018-0204-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 02/12/2018] [Indexed: 05/05/2023]
Abstract
BACKGROUND The vascular bundle especially in the peduncle is one of crucial limiting factors of rice yield, and it determines how plants efficiently transport photosynthetic products, mineral nutrients and water from leaf and root to panicle. However, the genetic base of rice vascular bundle related traits in the peduncle still remains unknown. RESULTS The 423 panel showed substantial natural variations of peduncle vascular bundle. In total, 48 quantitative trait loci/locus (QTL) affecting the eight traits were identified throughout the genome by applying a significance threshold of P < 1.0 × 10- 4. Combined determining linkage disequilibrium (LD) blocks associated with significant SNPs and haplotype analyses allowed us to shortlist six candidate genes for four important QTL regions affecting the peduncle vascular bundle traits, including one cloned gene (NAL1) and three newly identified QTL (qLVN6, qSVN7, and qSVA8.1). Further the most likely candidate genes for each important QTL were also discussed based on functional annotation. CONCLUSIONS Genetic base on peduncle vascular bundle related traits in rice was systematically dissected, and most likely candidate genes of the known gene NAL1 and the three newly identified QTL (qLVN6, qSVN7, and qSVA8.1) were analyzed. The results provided valuable information for future functional characterization and rice breeding for high yield through optimizing transportation efficiency of photosynthetic products by marker-assisted selection.
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Affiliation(s)
- Laiyuan Zhai
- Rice Research Institute, Shenyang Agricultural University/Key Laboratory of Northern Japonica Rice Genetics and Breeding, Ministry of Education, Shenyang, 110866 China
| | - Tianqing Zheng
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12# South Zhong-Guan-Cun Street, Haidain District, Beijing, 100081 China
| | - Xinyu Wang
- Rice Research Institute, Shenyang Agricultural University/Key Laboratory of Northern Japonica Rice Genetics and Breeding, Ministry of Education, Shenyang, 110866 China
| | - Yun Wang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12# South Zhong-Guan-Cun Street, Haidain District, Beijing, 100081 China
| | - Kai Chen
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12# South Zhong-Guan-Cun Street, Haidain District, Beijing, 100081 China
- Agricultrual Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sceinces, Shenzhen, 518120 China
| | - Shu Wang
- Rice Research Institute, Shenyang Agricultural University/Key Laboratory of Northern Japonica Rice Genetics and Breeding, Ministry of Education, Shenyang, 110866 China
| | - Yun Wang
- Rice Research Institute, Shenyang Agricultural University/Key Laboratory of Northern Japonica Rice Genetics and Breeding, Ministry of Education, Shenyang, 110866 China
| | - Jianlong Xu
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12# South Zhong-Guan-Cun Street, Haidain District, Beijing, 100081 China
- Agricultrual Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sceinces, Shenzhen, 518120 China
| | - Zhikang Li
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12# South Zhong-Guan-Cun Street, Haidain District, Beijing, 100081 China
- Shenzhen Institute of Breeding and Innovation, Chinese Academy of Agricultural Sciences, Shenzhen, 518120 China
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Jing L, Rui X, Chunchao W, Lan Q, Xiaoming Z, Wensheng W, Yingbin D, Lizhen Z, Yanyan W, Yunlian C, Lifang Z, Weihua Q, Qingwen Y. A heading date QTL, qHD7.2, from wild rice (Oryza rufipogon) delays flowering and shortens panicle length under long-day conditions. Sci Rep 2018; 8:2928. [PMID: 29440759 PMCID: PMC5811536 DOI: 10.1038/s41598-018-21330-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 02/01/2018] [Indexed: 12/27/2022] Open
Abstract
Heading date (HD) and panicle length (PL) are important traits that affect rice breeding and are controlled by pleiotropic genes. Some alleles associated with HD and PL from wild relatives might differ from those in cultivated rice. In this study, a main effect HD quantitative trait locus from wild rice, qHD7.2, was identified using a chromosomal segment substitution line (CSSL) population. First, qHD7.2 was determined to be located near RM172 on chromosome 7 based on association analysis of phenotype data from six environments and 181 polymorphic molecular markers. CSSL39, which has the latest flowering of all CSSLs and carries qHD7.2, was selected for further study, and qHD7.2 was narrowed to a 101.1-kb interval using a CSSL39/9311 F2 population. An OsPRR37-homologous gene was found within this region. The wild type allele delayed flowering and shortened PL under long-day conditions. The HD7.2, which was identified as a candidate gene for qHD7.2, transcript level was substantially higher than that in 9311. Our data showed that HD7.2 is likely a novel OsPRR37 allele. Sequence analysis revealed that OsPRR37 in cultivated rice had multiple origins, and natural variation in the coding domain sequence and promoter region contribute to flowering time diversity in cultivated rice.
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Affiliation(s)
- Li Jing
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xu Rui
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wang Chunchao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qi Lan
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zheng Xiaoming
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wang Wensheng
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Ding Yingbin
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhang Lizhen
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wang Yanyan
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Cheng Yunlian
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhang Lifang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qiao Weihua
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Yang Qingwen
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Shen L, Wang C, Fu Y, Wang J, Liu Q, Zhang X, Yan C, Qian Q, Wang K. QTL editing confers opposing yield performance in different rice varieties. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2018; 60:89-93. [PMID: 27628577 DOI: 10.1111/jipb.12501] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 09/13/2016] [Indexed: 05/19/2023]
Abstract
Grain yield is one of the most important and complex trait for genetic improvement in crops; it is known to be controlled by a number of genes known as quantitative trait loci (QTLs). In the past decade, many yield-contributing QTLs have been identified in crops. However, it remains unclear whether those QTLs confer the same yield performance in different genetic backgrounds. Here, we performed CRISPR/Cas9-mediated QTL editing in five widely-cultivated rice varieties and revealed that the same QTL can have diverse, even opposing, effects on grain yield in different genetic backgrounds.
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Affiliation(s)
- Lan Shen
- Key Laboratory of Plant Functional Genomics, Ministry of Education, Yangzhou University, Yangzhou 225009, China
- State Key Laboratory of Rice Biology, China National RiceResearch Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Chun Wang
- State Key Laboratory of Rice Biology, China National RiceResearch Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Yaping Fu
- State Key Laboratory of Rice Biology, China National RiceResearch Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Junjie Wang
- State Key Laboratory of Rice Biology, China National RiceResearch Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Qing Liu
- State Key Laboratory of Rice Biology, China National RiceResearch Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Xiaoming Zhang
- State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
| | - Changjie Yan
- Key Laboratory of Plant Functional Genomics, Ministry of Education, Yangzhou University, Yangzhou 225009, China
| | - Qian Qian
- State Key Laboratory of Rice Biology, China National RiceResearch Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
| | - Kejian Wang
- State Key Laboratory of Rice Biology, China National RiceResearch Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310006, China
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Yamini B, Bharghavi M, Eswar G, Gopalakrishna K, Jeevula B, Swarajyalakshmi B, Suresh E, Hariprasad K, Vemireddy LR. Towards enhancement of yield by molecular stacking of yield contributing genes in rice (Oryza sativa L.). CANADIAN JOURNAL OF BIOTECHNOLOGY 2017. [DOI: 10.24870/cjb.2017-a173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Rice Flowering Locus T 1 plays an important role in heading date influencing yield traits in rice. Sci Rep 2017; 7:4918. [PMID: 28687802 PMCID: PMC5501849 DOI: 10.1038/s41598-017-05302-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 05/26/2017] [Indexed: 12/26/2022] Open
Abstract
Important role of flowering genes in enhancing grain productivity in rice has become well recognized for a number of key genes regulating the florigen production, but little has been known for the two florigen genes themselves. In this study, pleiotropism of Rice Flowering Locus T 1 (RFT1), one of the two florigen genes in rice, was firstly evaluated using near isogenic lines (NILs) carrying RFT1 alleles from the indica rice cultivars Zhenshan 97 (ZS97) and Milyang 46, respectively, and then determined by transformation of the RFT1ZS97 allele into a japonica rice variety, Zhonghua 11. The RFT1ZS97 allele was shown to delay heading and increase plant height, grain weight, grain number and grain yield, indicating that RFT1 plays an important role in the growth and development of rice. This study has also validated the potential of using a new type of genetic resource, sequential residual heterozygotes (SeqRHs), for QTL fine-mapping. A step-by-step approach was employed for SeqRHs identification, NIL development and QTL fine-mapping. The heterozygous segments and candidate QTL regions were gradually narrowed down. Eventually, the QTL region was delimited to a 1.7 kb region containing a single gene.
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36
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Sasaki K, Fujita D, Koide Y, Lumanglas PD, Gannaban RB, Tagle AG, Obara M, Fukuta Y, Kobayashi N, Ishimaru T. Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity. JOURNAL OF EXPERIMENTAL BOTANY 2017; 68:2693-2702. [PMID: 28582550 PMCID: PMC5853308 DOI: 10.1093/jxb/erx128] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2016] [Accepted: 04/13/2017] [Indexed: 05/20/2023]
Abstract
Total spikelet number per panicle (TSN) is one of the determinants of grain productivity in rice (Oryza sativa L.). In this study, we attempted to detect quantitative trait loci (QTLs) for TSN in the introgression lines with high TSN, derived from the cross of Indica Group variety IR 64 with new plant type lines. Two QTLs were detected on the long arm of chromosome 12: qTSN12.1 in the BC4F2 population of YTH63/IR 64 and qTSN12.2 in the BC4F3 population of YTH83/IR 64. TSN of the main tiller was significantly higher in near-isogenic lines (NILs) for qTSN12.1 (IR 64-NIL1; 188.6) and for qTSN12.2 (IR 64-NIL12; 199.4) than in IR 64 (141.2), owing to a significant increase in both primary and secondary branch numbers. These results suggest the critical function of these QTLs in the promotion of rachis branching at the panicle formation stage. Fine mapping of qTSN12.2 revealed six candidate genes in a 92-kb region of the Nipponbare reference genome sequence between flanking markers RM28746 and RM28753. Detailed phenotyping of agronomic traits of IR 64-NIL12 carrying qTSN12.2 showed drastic changes in plant architecture: this line had lower panicle number, longer culm, and longer and wider leaves compared with IR 64. Percentage of fertility and 1000-grain weight tended to be greater, and grain yield per square meter was also greater in IR 64-NIL12 than in IR 64. The newly identified QTLs will be useful for genetic improvement of the yield potential of Indica Group varieties. The markers tightly linked to qTSN12.2 are available for marker-assisted breeding.
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Affiliation(s)
- Kazuhiro Sasaki
- Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan
- International Rice Research Institute (IRRI), DA, Metro Manila, Philippines
- Graduate School of Agricultural and Life Sciences, Institute of Sustainable Agro-ecosystem Services (ISAS), The University of Tokyo, Midoricho, Nishitokyo, Tokyo, Japan
| | - Daisuke Fujita
- Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan
- International Rice Research Institute (IRRI), DA, Metro Manila, Philippines
- Faculty of Agriculture, Saga University, Honjo-machi, Saga, Japan
| | - Yohei Koide
- Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan
- International Rice Research Institute (IRRI), DA, Metro Manila, Philippines
- Research Faculty of Agriculture, Hokkaido University, Kita-9 Nishi-9, Kita-ku, Sapporo, Japan
| | | | - Ritchel B Gannaban
- International Rice Research Institute (IRRI), DA, Metro Manila, Philippines
| | - Analiza G Tagle
- International Rice Research Institute (IRRI), DA, Metro Manila, Philippines
| | - Mitsuhiro Obara
- Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan
| | - Yoshimichi Fukuta
- Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan
| | - Nobuya Kobayashi
- Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan
- International Rice Research Institute (IRRI), DA, Metro Manila, Philippines
- National Institute of Crop Science (NICS), NARO, Kannondai, Tsukuba, Ibaraki, Japan
| | - Tsutomu Ishimaru
- Japan International Research Center for Agricultural Sciences (JIRCAS), Ohwashi, Tsukuba, Ibaraki, Japan
- International Rice Research Institute (IRRI), DA, Metro Manila, Philippines
- Central Region Agricultural Research Center (CARC), National Agriculture and Food Research Organization (NARO), Inada, Joetsu, Niigata, Japan
- Correspondence:
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Sun Z, Yin X, Ding J, Yu D, Hu M, Sun X, Tan Y, Sheng X, Liu L, Mo Y, Ouyang N, Jiang B, Yuan G, Duan M, Yuan D, Fang J. QTL analysis and dissection of panicle components in rice using advanced backcross populations derived from Oryza Sativa cultivars HR1128 and 'Nipponbare'. PLoS One 2017; 12:e0175692. [PMID: 28422981 PMCID: PMC5396889 DOI: 10.1371/journal.pone.0175692] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 03/29/2017] [Indexed: 02/04/2023] Open
Abstract
Panicle traits are among the most important agronomic characters which directly relate to yield in rice. Grain number (GN), panicle length (PL), primary branch number (PBN), and secondary branch number (SBN) are the major components of rice panicle structure, and are all controlled by quantitative trait loci (QTLs). In our research, four advanced backcross overlapping populations (BIL152, BIL196a, BIL196b, and BIL196b-156) carrying introgressed segments from chromosome 6 were derived from an indica/japonica cross that used the super-hybrid rice restorer line HR1128 and the international sequenced japonica cultivar ‘Nipponbare’ as the donor and recurrent parents, respectively. The four panicle traits, GN, PL, PBN, and SBN, were evaluated for QTL effects using the inclusive composite interval mapping (ICIM) method in populations over two years at two sites. Results showed that a total of twelve QTLs for GN, PL, PBN, and SBN were detected on chromosome 6. Based on marker loci physical positions, the QTLs were found to be tightly linked to three important chromosomal intervals described as RM7213 to RM19962, RM20000 to RM20210, and RM412 to RM20595. Three QTLs identified in this study, PL6-5, PBN6-1, and PBN6-2, were found to be novel compared with previous studies. A major QTL (PL6-5) for panicle length was detected in all four populations at two locations, and its position was narrowed down to a 1.3Mb region on chromosome 6. Near isogenic lines (NILs) carrying PL6-5 will be developed for fine mapping of the QTL, and our results will provide referable information for gene excavation of panicle components in rice.
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Affiliation(s)
- Zhizhong Sun
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
| | - Xiaoling Yin
- Long Ping Branch, Graduate School of Hunan University, Changsha, Hunan, China
| | - Jia Ding
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
| | - Dong Yu
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
| | - Miao Hu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
| | - Xuewu Sun
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
| | - Yanning Tan
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
| | - Xiabing Sheng
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
| | - Ling Liu
- Long Ping Branch, Graduate School of Hunan University, Changsha, Hunan, China
| | - Yi Mo
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, China
| | - Ning Ouyang
- Long Ping Branch, Graduate School of Hunan University, Changsha, Hunan, China
| | - Beibei Jiang
- Long Ping Branch, Graduate School of Hunan University, Changsha, Hunan, China
| | - Guilong Yuan
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
| | - Meijuan Duan
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
- Long Ping Branch, Graduate School of Hunan University, Changsha, Hunan, China
- * E-mail: (JF); (DYY); (MD)
| | - Dingyang Yuan
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Changsha, Hunan, China
- Hunan Academy of Agricultural Sciences, Changsha, Hunan, China
- * E-mail: (JF); (DYY); (MD)
| | - Jun Fang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, Hunan, China
- * E-mail: (JF); (DYY); (MD)
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Qin L, Zhao J, Li T, Hou J, Zhang X, Hao C. TaGW2, a Good Reflection of Wheat Polyploidization and Evolution. FRONTIERS IN PLANT SCIENCE 2017; 8:318. [PMID: 28326096 PMCID: PMC5339256 DOI: 10.3389/fpls.2017.00318] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2016] [Accepted: 02/22/2017] [Indexed: 05/04/2023]
Abstract
Hexaploid wheat consists of three subgenomes, namely, A, B, and D. These well-characterized ancestral genomes also exist at the diploid and tetraploid levels, thereby rendering wheat as a good model species for studying polyploidization. Here, we performed intra- and inter-species comparative analyses of wheat and its relatives to dissect polymorphism and differentiation of the TaGW2 genes. Our results showed that genetic diversity of TaGW2 decreased with progression from the diploids to tetraploids and hexaploids. The strongest selection occurred in the promoter regions of TaGW2-6A and TaGW2-6B. Phylogenetic trees clearly indicated that Triticum urartu and Ae. speltoides were the donors of the A and B genomes in tetraploid and hexaploid wheats. Haplotypes detected among hexaploid genotypes traced back to the tetraploid level. Fst and π values revealed that the strongest selection on TaGW2 occurred at the tetraploid level rather than in hexaploid wheat. This infers that grain size enlargement, especially increased kernel width, mainly occurred in tetraploid genotypes. In addition, relative expression levels of TaGW2s significantly declined from the diploid level to tetraploids and hexaploids, further indicating that these genes negatively regulate kernel size. Our results also revealed that the polyploidization events possibly caused much stronger differentiation than domestication and breeding.
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Affiliation(s)
- Lin Qin
- Crop Genomics and Bioinformatics Center and National Key Lab of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural UniversityNanjing, China
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China
| | - Junjie Zhao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China
| | - Jian Hou
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China
| | - Xueyong Zhang
- Crop Genomics and Bioinformatics Center and National Key Lab of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural UniversityNanjing, China
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China
- *Correspondence: Xueyong Zhang
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China
- Chenyang Hao
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Liu D, Zhang J, Liu X, Wang W, Liu D, Teng Z, Fang X, Tan Z, Tang S, Yang J, Zhong J, Zhang Z. Fine mapping and RNA-Seq unravels candidate genes for a major QTL controlling multiple fiber quality traits at the T1 region in upland cotton. BMC Genomics 2016; 17:295. [PMID: 27094760 PMCID: PMC4837631 DOI: 10.1186/s12864-016-2605-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 03/28/2016] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Improving fiber quality is a major challenge in cotton breeding, since the molecular basis of fiber quality traits is poorly understood. Fine mapping and candidate gene prediction of quantitative trait loci (QTL) controlling cotton fiber quality traits can help to elucidate the molecular basis of fiber quality. In our previous studies, one major QTL controlling multiple fiber quality traits was identified near the T1 locus on chromosome 6 in Upland cotton. RESULTS To finely map this major QTL, the F2 population with 6975 individuals was established from a cross between Yumian 1 and a recombinant inbred line (RIL118) selected from a recombinant inbred line population (T586 × Yumian 1). The QTL was mapped to a 0.28-cM interval between markers HAU2119 and SWU2302. The QTL explained 54.7 % (LOD = 222.3), 40.5 % (LOD = 145.0), 50.0 % (LOD = 194.3) and 30.1 % (LOD = 100.4) of phenotypic variation with additive effects of 2.78, -0.43, 2.92 and 1.90 units for fiber length, micronaire, strength and uniformity, respectively. The QTL region corresponded to a 2.7-Mb interval on chromosome 10 in the G. raimondii genome sequence and a 5.3-Mb interval on chromosome A06 in G. hirsutum. The fiber of Yumian 1 was much longer than that of RIL118 from 3 DPA to 7 DPA. RNA-Seq of ovules at 0 DPA and fibers at 5 DPA from Yumian 1 and RIL118 showed four genes in the QTL region of the G. raimondii genome to be extremely differentially expressed. RT-PCR analysis showed three genes in the QTL region of the G. hirsutum genome to behave similarly. CONCLUSIONS This study mapped a major QTL influencing four fiber quality traits to a 0.28-cM interval and identified three candidate genes by RNA-Seq and RT-PCR analysis. Integration of fine mapping and RNA-Seq is a powerful strategy to uncover candidates for QTL in large genomes.
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Affiliation(s)
- Dexin Liu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Jian Zhang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Xueying Liu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Wenwen Wang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Dajun Liu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Zhonghua Teng
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Xiaomei Fang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Zhaoyun Tan
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Shiyi Tang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Jinghong Yang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Jianwei Zhong
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China
| | - Zhengsheng Zhang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, Southwest University, 400716, Chongqing, People's Republic of China.
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Zeng Y, Ji Z, Wen Z, Liang Y, Yang C. Combination of Eight Alleles at Four Quantitative Trait Loci Determines Grain Length in Rice. PLoS One 2016; 11:e0150832. [PMID: 26942914 PMCID: PMC4778864 DOI: 10.1371/journal.pone.0150832] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 02/20/2016] [Indexed: 11/22/2022] Open
Abstract
Grain length is an important quantitative trait in rice (Oryza sativa L.) that influences both grain yield and exterior quality. Although many quantitative trait loci (QTLs) for grain length have been identified, it is still unclear how different alleles from different QTLs regulate grain length coordinately. To explore the mechanisms of QTL combination in the determination of grain length, five mapping populations, including two F2 populations, an F3 population, an F7 recombinant inbred line (RIL) population, and an F8 RIL population, were developed from the cross between the U.S. tropical japonica variety ‘Lemont’ and the Chinese indica variety ‘Yangdao 4’ and grown under different environmental conditions. Four QTLs (qGL-3-1, qGL-3-2, qGL-4, and qGL-7) for grain length were detected using both composite interval mapping and multiple interval mapping methods in the mapping populations. In each locus, there was an allele from one parent that increased grain length and another allele from another parent that decreased it. The eight alleles in the four QTLs were analyzed to determine whether these alleles act additively across loci, and lead to a linear relationship between the predicted breeding value of QTLs and phenotype. Linear regression analysis suggested that the combination of eight alleles determined grain length. Plants carrying more grain length-increasing alleles had longer grain length than those carrying more grain length-decreasing alleles. This trend was consistent in all five mapping populations and demonstrated the regulation of grain length by the four QTLs. Thus, these QTLs are ideal resources for modifying grain length in rice.
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Affiliation(s)
- Yuxiang Zeng
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, People’s Republic of China
| | - Zhijuan Ji
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, People’s Republic of China
| | - Zhihua Wen
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, People’s Republic of China
| | - Yan Liang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, People’s Republic of China
| | - Changdeng Yang
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, People’s Republic of China
- * E-mail:
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Huang C, Chen Q, Xu G, Xu D, Tian J, Tian F. Identification and fine mapping of quantitative trait loci for the number of vascular bundle in maize stem. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2016; 58:81-90. [PMID: 25845500 PMCID: PMC5034846 DOI: 10.1111/jipb.12358] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2015] [Accepted: 04/02/2015] [Indexed: 05/18/2023]
Abstract
Studies that investigated the genetic basis of source and sink related traits have been widely conducted. However, the vascular system that links source and sink received much less attention. When maize was domesticated from its wild ancestor, teosinte, the external morphology has changed dramatically; however, less is known for the internal anatomy changes. In this study, using a large maize-teosinte experimental population, we performed a high-resolution quantitative trait locus (QTL) mapping for the number of vascular bundle in the uppermost internode of maize stem. The results showed that vascular bundle number is dominated by a large number of small-effect QTLs, in which a total of 16 QTLs that jointly accounts for 52.2% of phenotypic variation were detected, with no single QTL explaining more than 6% of variation. Different from QTLs for typical domestication traits, QTLs for vascular bundle number might not be under directional selection following domestication. Using Near Isogenic Lines (NILs) developed from heterogeneous inbred family (HIF), we further validated the effect of one QTL qVb9-2 on chromosome 9 and fine mapped the QTL to a 1.8-Mb physical region. This study provides important insights for the genetic architecture of vascular bundle number in maize stem and sets basis for cloning of qVb9-2.
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Affiliation(s)
- Cheng Huang
- Department of Plant Genetics and Breeding, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Qiuyue Chen
- Department of Plant Genetics and Breeding, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Guanghui Xu
- Department of Plant Genetics and Breeding, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Dingyi Xu
- Department of Plant Genetics and Breeding, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Jinge Tian
- Department of Plant Genetics and Breeding, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
| | - Feng Tian
- Department of Plant Genetics and Breeding, National Maize Improvement Center of China, China Agricultural University, Beijing, 100193, China
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Wu B, Mao D, Liu T, Li Z, Xing Y. Two quantitative trait loci for grain yield and plant height on chromosome 3 are tightly linked in coupling phase in rice. MOLECULAR BREEDING 2015; 35:156. [PMID: 0 DOI: 10.1007/s11032-015-0345-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
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Bargsten JW, Nap JP, Sanchez-Perez GF, van Dijk ADJ. Prioritization of candidate genes in QTL regions based on associations between traits and biological processes. BMC PLANT BIOLOGY 2014; 14:330. [PMID: 25492368 PMCID: PMC4274756 DOI: 10.1186/s12870-014-0330-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 11/10/2014] [Indexed: 05/18/2023]
Abstract
BACKGROUND Elucidation of genotype-to-phenotype relationships is a major challenge in biology. In plants, it is the basis for molecular breeding. Quantitative Trait Locus (QTL) mapping enables to link variation at the trait level to variation at the genomic level. However, QTL regions typically contain tens to hundreds of genes. In order to prioritize such candidate genes, we show that we can identify potentially causal genes for a trait based on overrepresentation of biological processes (gene functions) for the candidate genes in the QTL regions of that trait. RESULTS The prioritization method was applied to rice QTL data, using gene functions predicted on the basis of sequence- and expression-information. The average reduction of the number of genes was over ten-fold. Comparison with various types of experimental datasets (including QTL fine-mapping and Genome Wide Association Study results) indicated both statistical significance and biological relevance of the obtained connections between genes and traits. A detailed analysis of flowering time QTLs illustrates that genes with completely unknown function are likely to play a role in this important trait. CONCLUSIONS Our approach can guide further experimentation and validation of causal genes for quantitative traits. This way it capitalizes on QTL data to uncover how individual genes influence trait variation.
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Affiliation(s)
- Joachim W Bargsten
- />Applied Bioinformatics, Bioscience, Plant Sciences Group, Wageningen University and Research Centre, Wageningen, The Netherlands
- />Netherlands Bioinformatics Centre (NBIC), Nijmegen, The Netherlands
- />Laboratory for Plant Breeding, Plant Sciences Group, Wageningen University and Research Centre, Wageningen, The Netherlands
| | - Jan-Peter Nap
- />Applied Bioinformatics, Bioscience, Plant Sciences Group, Wageningen University and Research Centre, Wageningen, The Netherlands
- />Netherlands Bioinformatics Centre (NBIC), Nijmegen, The Netherlands
| | - Gabino F Sanchez-Perez
- />Applied Bioinformatics, Bioscience, Plant Sciences Group, Wageningen University and Research Centre, Wageningen, The Netherlands
- />Laboratory of Bioinformatics, Plant Sciences Group, Wageningen University and Research Centre, Wageningen, The Netherlands
| | - Aalt DJ van Dijk
- />Applied Bioinformatics, Bioscience, Plant Sciences Group, Wageningen University and Research Centre, Wageningen, The Netherlands
- />Biometris, Wageningen University and Research Centre, Wageningen, The Netherlands
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Chen JY, Guo L, Ma H, Chen YY, Zhang HW, Ying JZ, Zhuang JY. Fine mapping of qHd1, a minor heading date QTL with pleiotropism for yield traits in rice (Oryza sativa L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2014; 127:2515-24. [PMID: 25223543 PMCID: PMC4209109 DOI: 10.1007/s00122-014-2395-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Accepted: 08/28/2014] [Indexed: 05/04/2023]
Abstract
A minor QTL for heading date located on the long arm of rice chromosome 1 was delimitated to a 95.0-kb region using near isogenic lines with sequential segregating regions. Heading date and grain yield are two key factors determining the commercial potential of a rice variety. In this study, rice populations with sequential segregating regions were developed and used for mapping a minor QTL for heading date, qHd1. A total of 18 populations in six advanced generations through BC2F6 to BC2F11 were derived from a single BC2F3 plant of the indica rice cross Zhenshan 97 (ZS97)///ZS97//ZS97/Milyang 46. The QTL was delimitated to a 95.0-kb region flanked by RM12102 and RM12108 in the terminal region of the long arm of chromosome 1. Results also showed that qHd1 was not involved in the photoperiodic response, having an additive effect ranging from 2.4 d to 2.9 d observed in near isogenic lines grown in the paddy field and under the controlled conditions of either short day or long day. The QTL had pleiotropic effects on yield traits, with the ZS97 allele delaying heading and increasing the number of spikelets per panicle, the number of grains per panicle and grain yield per plant. The candidate region contains ten annotated genes including two genes with functional information related to the control of heading date. These results lay a foundation for the cloning of qHd1. In addition, this kind of minor QTLs could be of great significance in rice breeding for allowing minor adjustment of heading date and yield traits.
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Affiliation(s)
- Jun-Yu Chen
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006 China
| | - Liang Guo
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006 China
| | - Huan Ma
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006 China
| | - Yu-Yu Chen
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006 China
| | - Hong-Wei Zhang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006 China
| | - Jie-Zheng Ying
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, 310006 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
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Xie L, Tan Z, Zhou Y, Xu R, Feng L, Xing Y, Qi X. Identification and fine mapping of quantitative trait loci for seed vigor in germination and seedling establishment in rice. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2014; 56:749-59. [PMID: 24571491 DOI: 10.1111/jipb.12190] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Accepted: 02/24/2014] [Indexed: 05/04/2023]
Abstract
Seed vigor is an index of seed quality that is used to describe the rapid and uniform germination and the establishment of strong seedlings in any environmental conditions. Strong seed vigor in low-temperature germination conditions is particularly important in direct-sowing rice production systems. However, seed vigor has not been selected as an important breeding trait in traditional breeding programs due to its quantitative inherence. In this study, we identified and mapped eight quantitative trait loci (QTLs) for seed vigor by using a recombinant inbred population from a cross between rice (Oryza sativa L. ssp. indica) cultivars ZS97 and MH63. Conditional QTL analysis identified qSV-1, qSV-5b, qSV-6a, qSV-6b, and qSV-11 influenced seedling establishment and that qSV-5a, qSV-5c, and qSV-8 influenced only germination. Of these, qSV-1, qSV-5b, qSV-6a, qSV-6b, and qSV-8 were low-temperature-specific QTLs. Two major-effective QTLs, qSV-1, and qSV-5c were narrowed down to 1.13-Mbp and 400-kbp genomic regions, respectively. The results provide tightly linked DNA markers for the marker-assistant pyramiding of multiple positive alleles for increased seed vigor in both normal and low-temperature germination environments.
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Affiliation(s)
- Lixia Xie
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, the Chinese Academy of Sciences, Beijing, 100093, China; University of Chinese Academy of Sciences, Beijing, 100049, China
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Qin L, Hao C, Hou J, Wang Y, Li T, Wang L, Ma Z, Zhang X. Homologous haplotypes, expression, genetic effects and geographic distribution of the wheat yield gene TaGW2. BMC PLANT BIOLOGY 2014; 14:107. [PMID: 24766773 PMCID: PMC4021350 DOI: 10.1186/1471-2229-14-107] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Accepted: 04/08/2014] [Indexed: 05/19/2023]
Abstract
BACKGROUND TaGW2-6A, cloned in earlier research, strongly influences wheat grain width and TKW. Here, we mainly analyzed haplotypes of TaGW2-6B and their effects on TKW and interaction with haplotypes at TaGW2-6A. RESULTS About 2.9 kb of the promoter sequences of TaGW2-6B and TaGW2-6D were cloned in 34 bread wheat cultivars. Eleven SNPs were detected in the promoter region of TaGW2-6B, forming 4 haplotypes, but no divergence was detected in the TaGW2-6D promoter or coding region. Three molecular markers including CAPS, dCAPS and ACAS, were developed to distinguish the TaGW2-6B haplotypes. Haplotype association analysis indicated that TaGW2-6B has a stronger influence than TaGW2-6A on TKW, and Hap-6B-1 was a favored haplotype increasing grain width and weight that had undergone strong positive selection in global wheat breeding. However, clear geographic distribution differences for TaGW2-6A haplotypes were found; Hap-6A-A was favored in Chinese, Australian and Russian cultivars, whereas Hap-6A-G was preferred in European, American and CIMMYT cultivars. This difference might be caused by a flowering and maturity time difference between the two haplotypes. Hap-6A-A is the earlier type. Haplotype interaction analysis between TaGW2-6A and TaGW2-6B showed additive effects between the favored haplotypes. Hap-6A-A/Hap-6B-1 was the best combination to increase TKW. Relative expression analysis of the three TaGW2 homoeologous genes in 22 cultivars revealed that TaGW2-6A underwent the highest expression. TaGW2-6D was the least expressed during grain development and TaGW2-6B was intermediate. Diversity of the three genes was negatively correlated with their effect on TKW. CONCLUSIONS Genetic effects, expression patterns and historic changes of haplotypes at three homoeologous genes of TaGW2 influencing yield were dissected in wheat cultivars. Strong and constant selection to favored haplotypes has been found in global wheat breeding during the past century. This research also provides a valuable case for understanding interaction of genes that control complex traits in polyploid species.
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Affiliation(s)
- Lin Qin
- Key Laboratory of Crop Gene Resources and Germplasm Enhancment, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- Crop Genomics and Bioinformatics Center and National Key Lab of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancment, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jian Hou
- Key Laboratory of Crop Gene Resources and Germplasm Enhancment, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yuquan Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancment, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancment, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lanfen Wang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancment, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zhengqiang Ma
- Crop Genomics and Bioinformatics Center and National Key Lab of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
| | - Xueyong Zhang
- Key Laboratory of Crop Gene Resources and Germplasm Enhancment, Ministry of Agriculture/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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Shen G, Zhan W, Chen H, Xing Y. Dominance and epistasis are the main contributors to heterosis for plant height in rice. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2014; 215-216:11-8. [PMID: 24388510 DOI: 10.1016/j.plantsci.2013.10.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2013] [Revised: 09/03/2013] [Accepted: 10/07/2013] [Indexed: 05/15/2023]
Abstract
The genetic basis of heterosis has been debated for over 100 years regarding whether dominance or overdominance plays a more important role and the answer is still unclear. The major limitation to assess the contribution of a single locus has been the genetic background noise due to genome-wide segregation of multiple loci. To dissect the genetic basis of heterosis at a single locus for plant height, we developed a set of 202 chromosome segment substitution lines (CSSLs) of an elite hybrid, Shanyou 63, the best hybrid rice in China in the 1990s. Fifteen CSSLs had varied plant heights within lines. A total of 15 partial dominance QTLs for plant height were detected in these 15 CSSL-F2 populations. All hybrids between the 15 CSSLs and the recurrent parent, Zhenshan 97, were shorter than the corresponding CSSLs, but taller than Zhenshan 97. These indicated that these 15 QTLs were also heterosis loci (HLs) contributed to heterosis acted in dominance. Each HL contributed from -7.4 to 14.4% of midparent heterosis. Additive by additive (AA) and additive by dominance (AD) interactions were detected in the Tetra-F2 population segregating at the four major QTLs with the largest effects on plant height. Substantial negative AA effects were detected between two major QTLs QPH7.2 and QPH7.3, which increased heterosis in the study. Thus we concluded that dominance and epistasis are the major genetic basis of plant height heterosis, which could explain the better parent heterosis in Shanyou 63.
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Affiliation(s)
- Guojing Shen
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Wei Zhan
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Huaxia Chen
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China.
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48
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Liu T, Liu H, Zhang H, Xing Y. Validation and characterization of Ghd7.1, a major quantitative trait locus with pleiotropic effects on spikelets per panicle, plant height, and heading date in rice (Oryza sativa L.). JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2013; 55:917-27. [PMID: 23692054 DOI: 10.1111/jipb.12070] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2013] [Accepted: 05/09/2013] [Indexed: 05/24/2023]
Abstract
A quantitative trait locus (QTL) that affects heading date (HD) and the number of spikelets per panicle (SPP) was previously identified in a small region on chromosome 7 in rice (Oryza sativa L.). In order to further characterize the QTL region, near isogenic lines (NILs) were quickly obtained by self-crossing recombinant inbred line 189, which is heterozygous in the vicinity of the target region. The pleiotropic effects of QTL Ghd7.1 on plant height (PH), SPP, and HD, were validated using an NIL-F2 population. Ghd7.1 explained 50.2%, 45.3%, and 76.9% of phenotypic variation in PH, SPP, and HD, respectively. Ghd7.1 was precisely mapped to a 357-kb region on the basis of analysis of the progeny of the NIL-F2 population. Day-length treatment confirmed that Ghd7.1 is sensitive to photoperiod, with long days delaying heading up to 12.5 d. Identification of panicle initiation and development for the pair of NILs showed that Ghd7.1 elongated the photoperiod-sensitive phase more than 10 d, but did not change the basic vegetative phase and the reproductive growth phase. These findings indicated that Ghd7.1 regulates SPP by controlling the rate of panicle differentiation rather than the duration of panicle development.
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Affiliation(s)
- Touming Liu
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
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49
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Sun L, Li X, Fu Y, Zhu Z, Tan L, Liu F, Sun X, Sun X, Sun C. GS6, a member of the GRAS gene family, negatively regulates grain size in rice. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2013; 55:938-49. [PMID: 23650998 DOI: 10.1111/jipb.12062] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2013] [Accepted: 05/01/2013] [Indexed: 05/07/2023]
Abstract
Grain size is an important yield-related trait in rice. Intensive artificial selection for grain size during domestication is evidenced by the larger grains of most of today's cultivars compared with their wild relatives. However, the molecular genetic control of rice grain size is still not well characterized. Here, we report the identification and cloning of Grain Size 6 (GS6), which plays an important role in reducing grain size in rice. A premature stop at the +348 position in the coding sequence (CDS) of GS6 increased grain width and weight significantly. Alignment of the CDS regions of GS6 in 90 rice materials revealed three GS6 alleles. Most japonica varieties (95%) harbor the Type I haplotype, and 62.9% of indica varieties harbor the Type II haplotype. Association analysis revealed that the Type I haplotype tends to increase the width and weight of grains more than either of the Type II or Type III haplotypes. Further investigation of genetic diversity and the evolutionary mechanisms of GS6 showed that the GS6 gene was strongly selected in japonica cultivars. In addition, a "ggc" repeat region identified in the region that encodes the GRAS domain of GS6 played an important historic role in the domestication of grain size in rice. Knowledge of the function of GS6 might aid efforts to elucidate the molecular mechanisms that control grain development and evolution in rice plants, and could facilitate the genetic improvement of rice yield.
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Affiliation(s)
- Lianjun Sun
- State Key Laboratory of Plant Physiology and Biochemistry, National Center for Evaluation of Agricultural Wild Plants (Rice), MOE Key Laboratory of Crop Heterosis and Utilization, Beijing 100193, China; Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, China
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50
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Wei W, Zhang Y, Lü H, Li D, Wang L, Zhang X. Association analysis for quality traits in a diverse panel of Chinese sesame (Sesamum indicum L.) germplasm. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2013; 55:745-58. [PMID: 23570323 DOI: 10.1111/jipb.12049] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2012] [Accepted: 01/31/2013] [Indexed: 05/12/2023]
Abstract
The main objective of this study was to evaluate the potential of a sesame (Sesamum indicum L.) panel for association analysis, and investigate the genetic basis of oil content (OC), protein content, oleic acid concentration, and linoleic acid concentration using association mapping. A panel of 216 sesame accessions was phenotyped in a multi-environment trial and fingerprinted with 608 polymorphic loci produced by 79 primers, including simple sequence repeats (SSRs), sequence-related amplified polymorphisms (SRAPs), and amplified fragment length polymorphisms (AFLPs). Population structure analysis revealed two subgroups in the population. The Q model performed better for its ability to re-identify associations for the four traits at highly significant P-values compared to the other three mixed models. And a total of 35 and 25 associations for the four traits in 2010 and 2011 were identified, respectively, with the Q model after Bonferroni correction. Among those associations, only one for OC was re-identified in two environments, and several markers associated simultaneously with multiple traits were discovered. These results suggest the power and stability of the Q model for association analysis of nutritional traits in this sesame panel for its slight population stratification and familial relationship, which could aid in dissecting complex traits, and could help to develop strategies for improving nutritional quality.
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Affiliation(s)
- Wenliang Wei
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan 430062, China
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