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Hou J, Chen H, Zhang K, Liu W, Cao C, Ruan Y, Deng Y, Liu Y, Yuan X, Sun C, Fu Y. The GZnC1 variant from common wild rice influences grain Zn content. PLANT MOLECULAR BIOLOGY 2023; 111:263-273. [PMID: 36414883 DOI: 10.1007/s11103-022-01325-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/11/2022] [Indexed: 06/16/2023]
Abstract
Zinc (Zn) deficiency, caused by inadequate Zn intake in the human diet, has serious health implications. Rice (Oryza sativa) is the staple food in regions with a high incidence of Zn deficiency, so raising Zn levels in rice grain could help alleviate Zn deficiency. The wild relatives of cultivated rice vary widely in grain Zn content and thus are suitable resources for improving this trait. However, few loci underlying grain Zn content have been identified in wild rice relatives. Here, we identified a major quantitative trait locus for grain Zn content, Grain Zn Content 1 (qGZnC1), from Yuanjiang common wild rice (Oryza rufipogon Griff.) using map-based cloning. Down-regulating GZnC1 expression reduced the grain Zn content, whereas the presence of GZnC1 had the opposite effect, indicating that GZnC1 is involved in grain Zn content in rice. Notably, GZnC1 is identical to a previously reported gene, EMBRYO SAC ABORTION 1 (ESA1), involved in seed setting rate. The mutation in GZnC1/ESA1 at position 1819 (T1819C) causes delayed termination of protein translation. In addition, GZnC1 is specifically expressed in developing panicles. Several genes related to Zn-transporter genes were up-regulated in the presence of GZnC1. Our results suggest that GZnC1 activates Zn transporters to promote Zn distribution in panicles. Our work thus sheds light on the genetic mechanism of Zn accumulation in rice grain and provides a new genetic resource for improving Zn content in rice.
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Affiliation(s)
- Jingjing Hou
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Hao Chen
- Institute of Crop Sciences, Fujian Academy of Agricultural Sciences; Fujian Engineering Research Center for Characteristic Upland Crops Breeding; Fujian Engineering Laboratory of Crop Molecular Breeding, Fuzhou, 350013, China
| | - Kun Zhang
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Wenjing Liu
- Institute of Agricultural Quality Standards and Testing Technology Research, Fujian Academy of Agricultural Sciences; Fujian Key Laboratory of Agro-Products Quality and Safety, Fuzhou, 350003, China
| | - Caihong Cao
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Yini Ruan
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Yanyan Deng
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Yaxin Liu
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Xuzhao Yuan
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Chuanqing Sun
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China
| | - Yongcai Fu
- MOE Key Laboratory of Crop Heterosis and Utilization, National Center for Evaluation of Agricultural Wild Plants (Rice), Beijing Key Laboratory of Crop Genetic Improvement, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, 100193, China.
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Dwivedi SL, Garcia-Oliveira AL, Govindaraj M, Ortiz R. Biofortification to avoid malnutrition in humans in a changing climate: Enhancing micronutrient bioavailability in seed, tuber, and storage roots. FRONTIERS IN PLANT SCIENCE 2023; 14:1119148. [PMID: 36794214 PMCID: PMC9923027 DOI: 10.3389/fpls.2023.1119148] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 01/12/2023] [Indexed: 06/18/2023]
Abstract
Malnutrition results in enormous socio-economic costs to the individual, their community, and the nation's economy. The evidence suggests an overall negative impact of climate change on the agricultural productivity and nutritional quality of food crops. Producing more food with better nutritional quality, which is feasible, should be prioritized in crop improvement programs. Biofortification refers to developing micronutrient -dense cultivars through crossbreeding or genetic engineering. This review provides updates on nutrient acquisition, transport, and storage in plant organs; the cross-talk between macro- and micronutrients transport and signaling; nutrient profiling and spatial and temporal distribution; the putative and functionally characterized genes/single-nucleotide polymorphisms associated with Fe, Zn, and β-carotene; and global efforts to breed nutrient-dense crops and map adoption of such crops globally. This article also includes an overview on the bioavailability, bioaccessibility, and bioactivity of nutrients as well as the molecular basis of nutrient transport and absorption in human. Over 400 minerals (Fe, Zn) and provitamin A-rich cultivars have been released in the Global South. Approximately 4.6 million households currently cultivate Zn-rich rice and wheat, while ~3 million households in sub-Saharan Africa and Latin America benefit from Fe-rich beans, and 2.6 million people in sub-Saharan Africa and Brazil eat provitamin A-rich cassava. Furthermore, nutrient profiles can be improved through genetic engineering in an agronomically acceptable genetic background. The development of "Golden Rice" and provitamin A-rich dessert bananas and subsequent transfer of this trait into locally adapted cultivars are evident, with no significant change in nutritional profile, except for the trait incorporated. A greater understanding of nutrient transport and absorption may lead to the development of diet therapy for the betterment of human health.
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Affiliation(s)
| | - Ana Luísa Garcia-Oliveira
- International Maize and Wheat Research Center, Centro Internacional de Mejoramiento de Maíz. y Trigo (CIMMYT), Nairobi, Kenya
- Department of Molecular Biology, College of Biotechnology, CCS Haryana Agricultural University, Hissar, India
| | - Mahalingam Govindaraj
- HarvestPlus Program, Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), Cali, Colombia
| | - Rodomiro Ortiz
- Swedish University of Agricultural Sciences, Lomma, Sweden
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Arvas YE, Kocaçalışkan İ, Ordu E, Erişen S. Comparative retrotransposon analysis of mutant and non-mutant rice varieties grown at different salt concentrations. BIOTECHNOL BIOTEC EQ 2022. [DOI: 10.1080/13102818.2022.2043777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Yunus Emre Arvas
- Department of Molecular Biology and Genetics, Graduate School of Natural and Applied Sciences, Yıldız Technical University, Istanbul, Turkey
| | - İsmail Kocaçalışkan
- Department of Molecular Biology and Genetics, Faculty of Arts and Sciences, Yıldız Technical University, Istanbul, Turkey
| | - Emel Ordu
- Department of Molecular Biology and Genetics, Faculty of Arts and Sciences, Yıldız Technical University, Istanbul, Turkey
| | - Semiha Erişen
- Department of Molecular Biology and Genetics, Faculty of Arts and Sciences, Yıldız Technical University, Istanbul, Turkey
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Uttam GA, Suman K, Jaldhani V, Babu PM, Rao DS, Sundaram RM, Neeraja CN. Identification of Genomic Regions Associated with High Grain Zn Content in Polished Rice Using Genotyping-by-Sequencing (GBS). PLANTS (BASEL, SWITZERLAND) 2022; 12:144. [PMID: 36616273 PMCID: PMC9824299 DOI: 10.3390/plants12010144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/24/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Globally, micronutrient (iron and zinc) enriched rice has been a sustainable and cost-effective solution to overcome malnutrition or hidden hunger. Understanding the genetic basis and identifying the genomic regions for grain zinc (Zn) across diverse genetic backgrounds is an important step to develop biofortified rice varieties. In this case, an RIL population (306 RILs) obtained from a cross between the high-yielding rice variety MTU1010 and the high-zinc rice variety Ranbir Basmati was utilized to pinpoint the genomic region(s) and QTL(s) responsible for grain zinc (Zn) content. A total of 2746 SNP markers spanning a genetic distance of 2445 cM were employed for quantitative trait loci (QTL) analysis, which resulted in the identification of 47 QTLs for mineral (Zn and Fe) and agronomic traits with 3.5-36.0% phenotypic variance explained (PVE) over the seasons. On Chr02, consistent QTLs for grain Zn polished (qZnPR.2.1) and Zn brown (qZnBR.2.2) were identified. On Chr09, two additional reliable QTLs for grain Zn brown (qZnBR.9.1 and qZnBR.9.2) were identified. The major-effect QTLs identified in this study were associated with few key genes related to Zn and Fe transporter activity. The genomic regions, candidate genes, and molecular markers associated with these major QTLs will be useful for genomic-assisted breeding for developing Zn-biofortified varieties.
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