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Yu Z, Cui B, Xiao J, Jiao W, Wang H, Wang Z, Sun L, Song Q, Yuan J, Wang X. Dosage effect genes modulate grain development in synthesized Triticum durum-Haynaldia villosa allohexaploid. J Genet Genomics 2024:S1673-8527(24)00081-X. [PMID: 38670432 DOI: 10.1016/j.jgg.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024]
Abstract
Polyploidization in plants often leads to increased cell size and grain size, which may be affected by the increased genome dosage and transcription abundance. The synthesized Triticum durum (AABB)-Haynaldia villosa (VV) amphiploid (AABBVV) has significantly increased grain size, especially grain length, than the tetraploid and diploid parents. To investigate how polyploidization affects grain development at the transcriptional level, we perform transcriptome analysis using the immature seeds of T. durum, H. villosa, and the amphiploid. The dosage effect genes are contributed more by differentially expressed genes from genome V of H. villosa. The dosage effect genes overrepresent grain development-related genes. Interestingly, the vernalization gene TaVRN1 is among the positive dosage effect genes in the T. durum‒H. villosa and T. turgidum‒Ae. tauschii amphiploids. The expression levels of TaVRN1 homologs are positively correlated with the grain size and weight. The TaVRN1-B1 or TaVRN1-D1 mutation shows delayed florescence, decreased cell size, grain size, and grain yield. These data indicate that dosage effect genes could be one of the important explanations for increased grain size by regulating grain development. The identification and functional validation of dosage effect genes may facilitate the finding of valuable genes for improving wheat yield.
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Affiliation(s)
- Zhongyu Yu
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Baofeng Cui
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Jin Xiao
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Wu Jiao
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Haiyan Wang
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Zongkuan Wang
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Li Sun
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Qingxin Song
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China
| | - Jingya Yuan
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China.
| | - Xiue Wang
- State Key Lab of Crop Genetics & Germplasm Enhancement and Utilization, Cytogenetics Institute, Nanjing Agricultural University/JCIC-MCP/Zhongshan Biological Breeding Laboratory, Nanjing, Jiangsu 210095, China.
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Soto-Cerda BJ, Larama G, Cloutier S, Fofana B, Inostroza-Blancheteau C, Aravena G. The Genetic Dissection of Nitrogen Use-Related Traits in Flax ( Linum usitatissimum L.) at the Seedling Stage through the Integration of Multi-Locus GWAS, RNA-seq and Genomic Selection. Int J Mol Sci 2023; 24:17624. [PMID: 38139451 PMCID: PMC10743809 DOI: 10.3390/ijms242417624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023] Open
Abstract
Nitrogen (N), the most important macro-nutrient for plant growth and development, is a key factor that determines crop yield. Yet its excessive applications pollute the environment and are expensive. Hence, studying nitrogen use efficiency (NUE) in crops is fundamental for sustainable agriculture. Here, an association panel consisting of 123 flax accessions was evaluated for 21 NUE-related traits at the seedling stage under optimum N (N+) and N deficiency (N-) treatments to dissect the genetic architecture of NUE-related traits using a multi-omics approach integrating genome-wide association studies (GWAS), transcriptome analysis and genomic selection (GS). Root traits exhibited significant and positive correlations with NUE under N- conditions (r = 0.33 to 0.43, p < 0.05). A total of 359 QTLs were identified, accounting for 0.11% to 23.1% of the phenotypic variation in NUE-related traits. Transcriptomic analysis identified 1034 differentially expressed genes (DEGs) under contrasting N conditions. DEGs involved in N metabolism, root development, amino acid transport and catabolism and others, were found near the QTLs. GS models to predict NUE stress tolerance index (NUE_STI) trait were tested using a random genome-wide SNP dataset and a GWAS-derived QTLs dataset. The latter produced superior prediction accuracy (r = 0.62 to 0.79) compared to the genome-wide SNP marker dataset (r = 0.11) for NUE_STI. Our results provide insights into the QTL architecture of NUE-related traits, identify candidate genes for further studies, and propose genomic breeding tools to achieve superior NUE in flax under low N input.
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Affiliation(s)
- Braulio J. Soto-Cerda
- Departamento de Ciencias Agropecuarias y Acuícolas, Universidad Católica de Temuco, Rudecindo Ortega 02950, Temuco 4781312, Chile; (C.I.-B.); (G.A.)
- Núcleo de Investigación en Producción Alimentaria, Facultad de Recursos Naturales, Universidad Católica de Temuco, Rudecindo Ortega 02950, Temuco 4781312, Chile
| | - Giovanni Larama
- Center of Plant, Soil Interaction and Natural Resources Biotechnology, Scientific and Technological Bioresource Nucleus, Universidad de La Frontera, Temuco 4811230, Chile;
- Biocontrol Research Laboratory, Universidad de La Frontera, Temuco 4811230, Chile
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON K1A 0C6, Canada;
| | - Bourlaye Fofana
- Charlottetown Research and Development Centre, Agriculture and Agri-Food Canada, 440 University Avenue, Charlottetown, PE C1A 4N6, Canada
| | - Claudio Inostroza-Blancheteau
- Departamento de Ciencias Agropecuarias y Acuícolas, Universidad Católica de Temuco, Rudecindo Ortega 02950, Temuco 4781312, Chile; (C.I.-B.); (G.A.)
- Núcleo de Investigación en Producción Alimentaria, Facultad de Recursos Naturales, Universidad Católica de Temuco, Rudecindo Ortega 02950, Temuco 4781312, Chile
| | - Gabriela Aravena
- Departamento de Ciencias Agropecuarias y Acuícolas, Universidad Católica de Temuco, Rudecindo Ortega 02950, Temuco 4781312, Chile; (C.I.-B.); (G.A.)
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3
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Xu W, Chen Y, Liu B, Li Q, Zhou Y, Li X, Guo W, Hu Z, Liu Z, Xin M, Yao Y, You M, Peng H, Ni Z, Xing J. TaANR1-TaMADS25 module regulates lignin biosynthesis and root development in wheat (Triticum aestivum L.). J Genet Genomics 2023; 50:917-920. [PMID: 37666357 DOI: 10.1016/j.jgg.2023.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 08/29/2023] [Accepted: 08/29/2023] [Indexed: 09/06/2023]
Affiliation(s)
- Weiya Xu
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yongming Chen
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Bin Liu
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qiuyuan Li
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yilan Zhou
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xuanshuang Li
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weilong Guo
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhaorong Hu
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhenshan Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mingming Xin
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yingyin Yao
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Mingshan You
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Huiru Peng
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhongfu Ni
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Jiewen Xing
- Key Laboratory of Crop Heterosis and Utilization (MOE), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China.
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Shi H, Chen M, Gao L, Wang Y, Bai Y, Yan H, Xu C, Zhou Y, Xu Z, Chen J, Tang W, Wang S, Shi Y, Wu Y, Sun D, Jia J, Ma Y. Genome-wide association study of agronomic traits related to nitrogen use efficiency in wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:4289-4302. [PMID: 36136127 DOI: 10.1007/s00122-022-04218-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 09/08/2022] [Indexed: 06/16/2023]
Abstract
GWAS identified 347 QTLs associated with eight traits related to nitrogen use efficiency in a 389-count wheat panel. Four novel candidate transcription factor genes were verified using qRT-PCR. Nitrogen is an essential nutrient for plants that determines crop yield. Improving nitrogen use efficiency (NUE) should considerably increase wheat yield and reduce the use of nitrogen fertilisers. However, knowledge on the genetic basis of NUE during wheat maturity is limited. In this study, a diversity panel incorporating 389 wheat accessions was phenotyped for eight NUE-related agronomic traits across five different environments. A total of 347 quantitative trait loci (QTLs) for low nitrogen tolerance indices (ratio of agronomic characters under low and high nitrogen conditions) were identified through a genome-wide association study utilising 397,384 single nucleotide polymorphisms (SNPs) within the MLM (Q + K) model, including 11 stable QTLs. Furthermore, 69 candidate genes were predicted for low nitrogen tolerance indices of best linear unbiased predictions values of the eight studied agronomic traits, and four novel candidate transcription factors (TraesCS5A02G237500 for qFsnR5A.2, TraesCS5B02G384500 and TraesCS5B02G384600 for qSLR5B.1, and TraesCS3B02G068800 for qTKWR3B.1) showed differing expression patterns in contrasting low-nitrogen-tolerant wheat genotypes. Moreover, the number of favourable marker alleles calculated using NUE that were significantly related to SNP in accessions decreased over the decades, indicating a decline in the NUE of the 389 wheat varieties. These findings denote promising NUE markers that could be useful in breeding high-NUE wheat varieties, and the candidate genes could further detail the NUE-related regulation network in wheat.
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Affiliation(s)
- Huawei Shi
- Key Laboratory of Sustainable Dryland Agriculture, College of Agriculture, Shanxi Agricultural University, Jinzhong, 030801, China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Ming Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Lifeng Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Yanxia Wang
- Shijiazhuang Academy of Agricultural and Forestry Sciences, Research Center of Wheat Engineering Technology of Hebei, Shijiazhuang, 050041, Hebei, China
| | - Yanming Bai
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Huishu Yan
- Key Laboratory of Sustainable Dryland Agriculture, College of Agriculture, Shanxi Agricultural University, Jinzhong, 030801, China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Chengjie Xu
- Key Laboratory of Sustainable Dryland Agriculture, College of Agriculture, Shanxi Agricultural University, Jinzhong, 030801, China
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Yongbin Zhou
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Zhaoshi Xu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Jun Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Wensi Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China
| | - Shuguang Wang
- Key Laboratory of Sustainable Dryland Agriculture, College of Agriculture, Shanxi Agricultural University, Jinzhong, 030801, China
| | - Yugang Shi
- Key Laboratory of Sustainable Dryland Agriculture, College of Agriculture, Shanxi Agricultural University, Jinzhong, 030801, China
| | - Yuxiang Wu
- Key Laboratory of Sustainable Dryland Agriculture, College of Agriculture, Shanxi Agricultural University, Jinzhong, 030801, China
| | - Daizhen Sun
- Key Laboratory of Sustainable Dryland Agriculture, College of Agriculture, Shanxi Agricultural University, Jinzhong, 030801, China.
| | - Jizeng Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China.
| | - Youzhi Ma
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Biology and Genetic Improvement of Triticeae Crops, Ministry of Agriculture, Beijing, 100081, China.
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Gao Y, Qi S, Wang Y. Nitrate signaling and use efficiency in crops. PLANT COMMUNICATIONS 2022; 3:100353. [PMID: 35754172 PMCID: PMC9483113 DOI: 10.1016/j.xplc.2022.100353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/06/2022] [Accepted: 06/23/2022] [Indexed: 06/15/2023]
Abstract
Nitrate (NO3-) is not only an essential nutrient but also an important signaling molecule for plant growth. Low nitrogen use efficiency (NUE) of crops is causing increasingly serious environmental and ecological problems. Understanding the molecular mechanisms of NO3- regulation in crops is crucial for NUE improvement in agriculture. During the last several years, significant progress has been made in understanding the regulation of NO3- signaling in crops, and some key NO3- signaling factors have been shown to play important roles in NO3- utilization. However, no detailed reviews have yet summarized these advances. Here, we focus mainly on recent advances in crop NO3- signaling, including short-term signaling, long-term signaling, and the impact of environmental factors. We also review the regulation of crop NUE by crucial genes involved in NO3- signaling. This review provides useful information for further research on NO3- signaling in crops and a theoretical basis for breeding new crop varieties with high NUE, which has great significance for sustainable agriculture.
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Affiliation(s)
- Yangyang Gao
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, China
| | - Shengdong Qi
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, China
| | - Yong Wang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, China.
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Wheat genomic study for genetic improvement of traits in China. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1718-1775. [PMID: 36018491 DOI: 10.1007/s11427-022-2178-7] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/10/2022] [Indexed: 01/17/2023]
Abstract
Bread wheat (Triticum aestivum L.) is a major crop that feeds 40% of the world's population. Over the past several decades, advances in genomics have led to tremendous achievements in understanding the origin and domestication of wheat, and the genetic basis of agronomically important traits, which promote the breeding of elite varieties. In this review, we focus on progress that has been made in genomic research and genetic improvement of traits such as grain yield, end-use traits, flowering regulation, nutrient use efficiency, and biotic and abiotic stress responses, and various breeding strategies that contributed mainly by Chinese scientists. Functional genomic research in wheat is entering a new era with the availability of multiple reference wheat genome assemblies and the development of cutting-edge technologies such as precise genome editing tools, high-throughput phenotyping platforms, sequencing-based cloning strategies, high-efficiency genetic transformation systems, and speed-breeding facilities. These insights will further extend our understanding of the molecular mechanisms and regulatory networks underlying agronomic traits and facilitate the breeding process, ultimately contributing to more sustainable agriculture in China and throughout the world.
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Javed T, I I, Singhal RK, Shabbir R, Shah AN, Kumar P, Jinger D, Dharmappa PM, Shad MA, Saha D, Anuragi H, Adamski R, Siuta D. Recent Advances in Agronomic and Physio-Molecular Approaches for Improving Nitrogen Use Efficiency in Crop Plants. FRONTIERS IN PLANT SCIENCE 2022; 13:877544. [PMID: 35574130 PMCID: PMC9106419 DOI: 10.3389/fpls.2022.877544] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/11/2022] [Indexed: 05/05/2023]
Abstract
The efficiency with which plants use nutrients to create biomass and/or grain is determined by the interaction of environmental and plant intrinsic factors. The major macronutrients, especially nitrogen (N), limit plant growth and development (1.5-2% of dry biomass) and have a direct impact on global food supply, fertilizer demand, and concern with environmental health. In the present time, the global consumption of N fertilizer is nearly 120 MT (million tons), and the N efficiency ranges from 25 to 50% of applied N. The dynamic range of ideal internal N concentrations is extremely large, necessitating stringent management to ensure that its requirements are met across various categories of developmental and environmental situations. Furthermore, approximately 60 percent of arable land is mineral deficient and/or mineral toxic around the world. The use of chemical fertilizers adds to the cost of production for the farmers and also increases environmental pollution. Therefore, the present study focused on the advancement in fertilizer approaches, comprising the use of biochar, zeolite, and customized nano and bio-fertilizers which had shown to be effective in improving nitrogen use efficiency (NUE) with lower soil degradation. Consequently, adopting precision farming, crop modeling, and the use of remote sensing technologies such as chlorophyll meters, leaf color charts, etc. assist in reducing the application of N fertilizer. This study also discussed the role of crucial plant attributes such as root structure architecture in improving the uptake and transport of N efficiency. The crosstalk of N with other soil nutrients plays a crucial role in nutrient homeostasis, which is also discussed thoroughly in this analysis. At the end, this review highlights the more efficient and accurate molecular strategies and techniques such as N transporters, transgenes, and omics, which are opening up intriguing possibilities for the detailed investigation of the molecular components that contribute to nitrogen utilization efficiency, thus expanding our knowledge of plant nutrition for future global food security.
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Affiliation(s)
- Talha Javed
- College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
- Department of Agronomy, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Indu I
- Indian Council of Agricultural Research (ICAR)-Indian Grassland and Fodder Research Institute, Jhansi, India
| | - Rajesh Kumar Singhal
- Indian Council of Agricultural Research (ICAR)-Indian Grassland and Fodder Research Institute, Jhansi, India
| | - Rubab Shabbir
- College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
- Department of Plant Breeding and Genetics, Seed Science and Technology, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Adnan Noor Shah
- Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan
| | - Pawan Kumar
- Indian Council of Agricultural Research (ICAR)-Central Institute for Arid Horticulture, Bikaner, India
| | - Dinesh Jinger
- Research Centre, Indian Council of Agricultural Research (ICAR)-Indian Institute of Soil and Water Conservation, Anand, India
| | - Prathibha M. Dharmappa
- Indian Council of Agricultural Research (ICAR)-Indian Institute of Horticultural Research, Bengaluru, India
| | - Munsif Ali Shad
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene, Hubei Hongshan Laboratory, Wuhan, China
| | - Debanjana Saha
- Centurion University of Technology and Management, Jatni, India
| | - Hirdayesh Anuragi
- Indian Council of Agricultural Research (ICAR)- Central Agroforestry Research Institute, Jhansi, India
| | - Robert Adamski
- Faculty of Process and Environmental Engineering, Łódź University of Technology, Łódź, Poland
| | - Dorota Siuta
- Faculty of Process and Environmental Engineering, Łódź University of Technology, Łódź, Poland
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Teng W, He X, Tong Y. Genetic Control of Efficient Nitrogen Use for High Yield and Grain Protein Concentration in Wheat: A Review. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11040492. [PMID: 35214826 PMCID: PMC8878021 DOI: 10.3390/plants11040492] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 01/29/2022] [Accepted: 02/04/2022] [Indexed: 05/12/2023]
Abstract
The increasing global population and the negative effects of nitrogen (N) fertilizers on the environment challenge wheat breeding to maximize yield potential and grain protein concentration (GPC) in an economically and environmentally friendly manner. Understanding the molecular mechanisms for the response of yield components to N availability and assimilates allocation to grains provides the opportunity to increase wheat yield and GPC simultaneously. This review summarized quantitative trait loci/genes which can increase spikes and grain number by enhancing N uptake and assimilation at relative early growth stage, and 1000-grain weight and GPC by increasing post-anthesis N uptake and N allocation to grains.
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Affiliation(s)
- Wan Teng
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (W.T.); (X.H.)
| | - Xue He
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (W.T.); (X.H.)
| | - Yiping Tong
- The State Key Laboratory for Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; (W.T.); (X.H.)
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- Correspondence: ; Tel.: +86-10-64806556
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Khan S, Pinto VB, do Amaral Júnior AT, Gonçalves GMB, Corrêa CCG, Ferreira FRA, de Souza GAR, Campostrini E, Freitas MSM, Vieira ME, de Oliveira Santos T, de Lima VJ, Kamphorst SH, do Amaral JFT, Mora-Poblete F, de Souza Filho GA, Silveira V. Revealing the differential protein profiles behind the nitrogen use efficiency in popcorn (Zea mays var. everta). Sci Rep 2022; 12:1521. [PMID: 35087128 PMCID: PMC8795358 DOI: 10.1038/s41598-022-05545-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 01/10/2022] [Indexed: 02/06/2023] Open
Abstract
We investigated the proteomic profiles of two popcorn inbred lines, P2 (N-efficient and N-responsive) and L80 (N-inefficient and nonresponsive to N), under low (10% of N supply) and high (100% of N supply) nitrogen environments, associated with agronomic- and physiological-related traits to NUE. The comparative proteomic analysis allowed the identification of 79 differentially accumulated proteins (DAPs) in the comparison of high/low N for P2 and 96 DAPs in the comparison of high/low N for L80. The NUE and N uptake efficiency (NUpE) presented high means in P2 in comparison to L80 at both N levels, but the NUE, NUpE, and N utilization efficiency (NUtE) rates decreased in P2 under a high N supply. DAPs involved in energy and carbohydrate metabolism suggested that N regulates enzymes of alternative pathways to adapt to energy shortages and that fructose-bisphosphate aldolase may act as one of the key primary nitrate responsive proteins in P2. Proteins related to ascorbate biosynthesis and nitrogen metabolism increased their regulation in P2, and the interaction of L-ascorbate peroxidase and Fd-NiR may play an important role in the NUE trait. Taken together, our results provide new insights into the proteomic changes taking place in contrasting inbred lines, providing useful information on the genetic improvement of NUE in popcorn.
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Affiliation(s)
- Shahid Khan
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Vitor Batista Pinto
- Laboratório de Biotecnologia, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil.
- Unidade de Biologia Integrativa, Setor de Genômica e Proteômica. Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil.
| | - Antônio Teixeira do Amaral Júnior
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil.
| | - Gabriel Moreno Bernardo Gonçalves
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Caio Cézar Guedes Corrêa
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Fernando Rafael Alves Ferreira
- Laboratório de Fitotecnia-Setor de Nutrição Mineral de Plantas, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Guilherme Augusto Rodrigues de Souza
- Laboratório de Melhoramento Genético Vegetal-Setor de Fisiologia Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Eliemar Campostrini
- Laboratório de Melhoramento Genético Vegetal-Setor de Fisiologia Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Marta Simone Mendonça Freitas
- Laboratório de Fitotecnia-Setor de Nutrição Mineral de Plantas, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Marlene Evangelista Vieira
- Laboratório de Fitotecnia-Setor de Nutrição Mineral de Plantas, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Talles de Oliveira Santos
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Valter Jário de Lima
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Samuel Henrique Kamphorst
- Laboratório de Melhoramento Genético Vegetal, Centro de Ciências e Tecnologias Agropecuárias, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - José Francisco Teixeira do Amaral
- Departamento de Engenharia Rural, Centro de Ciências Agrárias, Universidade Federal do Espírito Santo (UFES), Alto Universitário, s/nº, Alegre, Espírito Santo, 29500-000, Brazil
| | - Freddy Mora-Poblete
- Instituto de Ciencias Biológicas, Universidad de Talca, 1 Poniente 1141, 3460000, Talca, Chile
| | - Gonçalo Apolinário de Souza Filho
- Laboratório de Biotecnologia, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
- Unidade de Biologia Integrativa, Setor de Genômica e Proteômica. Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
| | - Vanildo Silveira
- Laboratório de Biotecnologia, Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
- Unidade de Biologia Integrativa, Setor de Genômica e Proteômica. Centro de Biociências e Biotecnologia, Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Av. Alberto Lamego, 2000, Campos dos Goytacazes, Rio de Janeiro, 28013-602, Brazil
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10
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Xu F, Chen S, Yang X, Zhou S, Chen X, Li J, Zhan K, He D. Genome-Wide Association Study on Seminal and Nodal Roots of Wheat Under Different Growth Environments. FRONTIERS IN PLANT SCIENCE 2021; 11:602399. [PMID: 33505411 PMCID: PMC7829178 DOI: 10.3389/fpls.2020.602399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Accepted: 12/04/2020] [Indexed: 06/12/2023]
Abstract
The root of wheat consists of seminal and nodal roots. Comparatively speaking, fewer studies have been carried out on the nodal root system because of its disappearance at the early seedling stage under indoor environments. In this study, 196 accessions from the Huanghuai Wheat Region (HWR) were used to identify the characteristics of seminal and nodal root traits under different growth environments, including indoor hydroponic culture (IHC), outdoor hydroponic culture (OHC), and outdoor pot culture (OPC), for three growing seasons. The results indicated that the variation range of root traits in pot environment was larger than that in hydroponic environment, and canonical coefficients were the greatest between OHC and OPC (0.86) than those in other two groups, namely, IHC vs. OPC (0.48) and IHC vs. OHC (0.46). Most root traits were negatively correlated with spikes per area (SPA), grains per spike (GPS), and grain yield (GY), while all the seminal root traits were positively correlated with thousand-kernel weight (TKW). Genome-wide association study (GWAS) was carried out on root traits by using a wheat 660K SNP array. A total of 35 quantitative trait loci (QTLs)/chromosomal segments associated with root traits were identified under OPC and OHC. In detail, 11 and 24 QTLs were significantly associated with seminal root and nodal root traits, respectively. Moreover, 13 QTLs for number of nodal roots per plant (NRP) containing 14 stable SNPs, were distributed on chromosomes 1B, 2B, 3A, 4B, 5D, 6D, 7A, 7B, and Un. Based on LD and bioinformatics analysis, these QTLs may contain 17 genes closely related to NRP. Among them, TraesCS2B02G552500 and TraesCS7A02G428300 were highly expressed in root tissues. Moreover, the frequencies of favorable alleles of these 14 SNPs were confirmed to be less than 70% in the natural population, suggesting that the utilization of these superior genes in wheat root is still improving.
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Affiliation(s)
- Fengdan Xu
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Shulin Chen
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Xiwen Yang
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Sumei Zhou
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Xu Chen
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Jie Li
- College of Agronomy, Xinyang Agriculture and Forestry University, Xinyang, China
| | - Kehui Zhan
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
| | - Dexian He
- College of Agronomy of Henan Agricultural University/National Engineering Research Center for Wheat/Co-construction State Key Laboratory of Wheat and Maize Crop Science/Collaborative Innovation Center of Henan Grain Crops, Henan Agricultural University, Zhengzhou, China
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11
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Wang Y, Wang D, Tao Z, Yang Y, Gao Z, Zhao G, Chang X. Impacts of Nitrogen Deficiency on Wheat ( Triticum aestivum L.) Grain During the Medium Filling Stage: Transcriptomic and Metabolomic Comparisons. FRONTIERS IN PLANT SCIENCE 2021; 12:674433. [PMID: 34421938 PMCID: PMC8371442 DOI: 10.3389/fpls.2021.674433] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 07/02/2021] [Indexed: 05/08/2023]
Abstract
Nitrogen (N) supplementation is essential to the yield and quality of bread wheat (Triticum aestivum L.). The impact of N-deficiency on wheat at the seedling stage has been previously reported, but the impact of distinct N regimes applied at the seedling stage with continuous application on filling and maturing wheat grains is lesser known, despite the filling stage being critical for final grain yield and flour quality. Here, we compared phenotype characteristics such as grain yield, grain protein and sugar quality, plant growth, leaf photosynthesis of wheat under N-deficient and N-sufficient conditions imposed prior to sowing (120 kg/hm2) and in the jointing stage (120 kg/hm2), and then evaluated the effects of this continued stress through RNA-seq and GC-MS metabolomics profiling of grain at the mid-filling stage. The results showed that except for an increase in grain size and weight, and in the content of total sugar, starch, and fiber in bran fraction and white flour, the other metrics were all decreased under N-deficiency conditions. A total of 761 differentially expressed genes (DEGs) and 77 differentially accumulated metabolites (DAMs) were identified. Under N-deficiency, 51 down-regulated DEGs were involved in the process of impeding chlorophyll synthesis, chloroplast development, light harvesting, and electron transfer functions of photosystem, which resulted in the SPAD and Pn value decreased by 32 and 15.2% compared with N-sufficiency, inhibited photosynthesis. Twenty-four DEGs implicated the inhibition of amino acids synthesis and protein transport, in agreement with a 17-42% reduction in ornithine, cysteine, aspartate, and tyrosine from metabolome, and an 18.6% reduction in grain protein content. However, 14 DEGs were implicated in promoting sugar accumulation in the cell wall and another six DEGs also enhanced cell wall synthesis, which significantly increased fiber content in the endosperm and likely contributed to increasing the thousands-grain weight (TGW). Moreover, RNA-seq profiling suggested that wheat grain can improve the capacity of DNA repair, iron uptake, disease and abiotic stress resistance, and oxidative stress scavenging through increasing the content levels of anthocyanin, flavonoid, GABA, galactose, and glucose under N-deficiency condition. This study identified candidate genes and metabolites related to low N adaption and tolerance that may provide new insights into a comprehensive understanding of the genotype-specific differences in performance under N-deficiency conditions.
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Affiliation(s)
- Yanjie Wang
- Center for Crop Management and Farming System, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, China
| | - Demei Wang
- Center for Crop Management and Farming System, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, China
| | - Zhiqiang Tao
- Center for Crop Management and Farming System, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, China
| | - Yushuang Yang
- Center for Crop Management and Farming System, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, China
| | - Zhenxian Gao
- Wheat Research Center, Shijiazhuang Academy of Agricultural and Forestry Sciences, Shijiazhuang, China
| | - Guangcai Zhao
- Center for Crop Management and Farming System, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, China
- *Correspondence: Guangcai Zhao
| | - Xuhong Chang
- Center for Crop Management and Farming System, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing, China
- Xuhong Chang
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12
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Sandhu N, Sethi M, Kumar A, Dang D, Singh J, Chhuneja P. Biochemical and Genetic Approaches Improving Nitrogen Use Efficiency in Cereal Crops: A Review. FRONTIERS IN PLANT SCIENCE 2021; 12:657629. [PMID: 34149755 PMCID: PMC8213353 DOI: 10.3389/fpls.2021.657629] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 04/06/2021] [Indexed: 05/22/2023]
Abstract
Nitrogen is an essential nutrient required in large quantities for the proper growth and development of plants. Nitrogen is the most limiting macronutrient for crop production in most of the world's agricultural areas. The dynamic nature of nitrogen and its tendency to lose soil and environment systems create a unique and challenging environment for its proper management. Exploiting genetic diversity, developing nutrient efficient novel varieties with better agronomy and crop management practices combined with improved crop genetics have been significant factors behind increased crop production. In this review, we highlight the various biochemical, genetic factors and the regulatory mechanisms controlling the plant nitrogen economy necessary for reducing fertilizer cost and improving nitrogen use efficiency while maintaining an acceptable grain yield.
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13
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Zheng X, Liu C, Qiao L, Zhao J, Han R, Wang X, Ge C, Zhang W, Zhang S, Qiao L, Zheng J, Hao C. The MYB transcription factor TaPHR3-A1 is involved in phosphate signaling and governs yield-related traits in bread wheat. JOURNAL OF EXPERIMENTAL BOTANY 2020; 71:5808-5822. [PMID: 32725154 DOI: 10.1093/jxb/eraa355] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 06/11/2023]
Abstract
Improved inorganic phosphate (Pi) use efficiency in crops will be important for sustainable agriculture. Exploring molecular mechanisms that regulate Pi uptake could provide useful information for breeding wheat with improved Pi use efficiency. Here, a TaPHR3-A1 (Gene ID: TraesCS7A02G415800) ortholog of rice OsPHR3 that functions in transcriptional regulation of Pi signaling was cloned from wheat chromosome 7A. Ectopic expression of TaPHR3-A1 in Arabidopsis and rice produced enhanced vegetative growth and more seeds. Overexpression in transgenic rice led to increased biomass, grain number, and primary panicle branching by 61.23, 42.12, and 36.34% compared with the wild type. Transgenic wheat lines with down-regulation of TaPHR3-A1 exhibited retarded growth and root hair development at the seedling stage, and showed yield-related effects at the adult stage when grown in both low- and sufficient Pi conditions, indicating that TaPHR3-A1 positively regulated tolerance to low Pi. Introgression lines further confirmed the effect of TaPHR3-A1 in improving grain number. The Chinese wheat mini core collection and a recombinant inbred line analysis demonstrated that the favorable allele TaPHR3-A1-A associated with higher grain number was positively selected in breeding. A TaPHR3-A1-derived cleaved amplified polymorphic sequence marker effectively identified haplotype TaPHR3-A1-A. Our results suggested that TaPHR3-A1 was a functional regulatory factor for Pi uptake and provided useful information for marker-assisted selection for high yield in wheat.
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Affiliation(s)
- Xingwei Zheng
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Cheng Liu
- Crop Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory for Wheat & Maize, Jinan, China
| | - Ling Qiao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Jiajia Zhao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Ran Han
- Crop Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory for Wheat & Maize, Jinan, China
| | - Xiaolu Wang
- Crop Research Institute, Shandong Academy of Agricultural Sciences/National Engineering Laboratory for Wheat & Maize, Jinan, China
| | - Chuan Ge
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Wenyun Zhang
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Shuwei Zhang
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Linyi Qiao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Jun Zheng
- Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Chenyang Hao
- The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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14
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Wang M, Zhang P, Liu Q, Li G, Di D, Xia G, Kronzucker HJ, Fang S, Chu J, Shi W. TaANR1-TaBG1 and TaWabi5-TaNRT2s/NARs Link ABA Metabolism and Nitrate Acquisition in Wheat Roots. PLANT PHYSIOLOGY 2020; 182:1440-1453. [PMID: 31937682 PMCID: PMC7054875 DOI: 10.1104/pp.19.01482] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 01/09/2020] [Indexed: 05/19/2023]
Abstract
Nitrate is the preferred form of nitrogen for most plants, acting both as a nutrient and a signaling molecule. However, the components and regulatory factors governing nitrate uptake in bread wheat (Triticum aestivum), one of the world's most important crop species, have remained unclear, largely due to the complexity of its hexaploid genome. Here, based on recently released whole-genome information for bread wheat, the high-affinity nitrate transporter2 (NRT2) and the nitrate-assimilation-related (NAR) gene family are characterized. We show that abscisic acid (ABA)- Glc ester deconjugation is stimulated in bread wheat roots by nitrate resupply following nitrate withdrawal, leading to enhanced root-tissue ABA accumulation, and that this enhancement, in turn, affects the expression of root-type NRT2/NAR genes. TaANR1 is shown to regulate nitrate-mediated ABA accumulation by directly activating TaBG1, while TaWabi5 is involved in ABA-mediated NO3 - induction of NRT2/NAR genes. Building on previous evidence establishing ABA involvement in the developmental response to high-nitrate stress, our study suggests that ABA also contributes to the optimization of nitrate uptake by regulating the expression of NRT2/NAR genes under limited nitrate supply, offering a new target for improvement of nitrate absorption in crops.
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Affiliation(s)
- Meng Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, P.R. China
| | - Pengli Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, P.R. China
| | - Qian Liu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, P.R. China
| | - Guangjie Li
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, P.R. China
| | - Dongwei Di
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, P.R. China
| | - Guangmin Xia
- The Key Laboratory of Plant Cell Engineering and Germplasm Innovation, Ministry of Education, School of Life Sciences, Shandong University, Jinan 250100, P.R. China
| | - Herbert J Kronzucker
- School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria 3010, Australia
- Faculty of Land and Food Systems, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Shuang Fang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, P.R. China
| | - Jinfang Chu
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, P.R. China
| | - Weiming Shi
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, P.R. China
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15
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Zheng X, Wen X, Qiao L, Zhao J, Zhang X, Li X, Zhang S, Yang Z, Chang Z, Chen J, Zheng J. A novel QTL QTrl.saw-2D.2 associated with the total root length identified by linkage and association analyses in wheat (Triticum aestivum L.). PLANTA 2019; 250:129-143. [PMID: 30944981 DOI: 10.1007/s00425-019-03154-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 03/27/2019] [Indexed: 05/25/2023]
Abstract
In wheat, a QTL QTrl.saw-2D.2 associated with the total root length was identified, presumably containing genes closely related to root development. A mapping population of 184 recombinant inbred lines derived from the cross SY95-71 × CH7034 was used to map QTL for seedling root characteristics in hydroponic culture (HC) and in soil-filled pot (SP) methods. Four traits, including maximum root length (MRL), root number (RN), total length (TRL), and root diameter (RD) were measured and used in QTL analyses. A total of 33 QTL for the four root traits were detected, 17 QTLs for TRL, six for RN, seven for MRL, and three for RD. Seven QTL were detected in both HC and SP methods, which explained 7-18% phenotypic variation. One QTL QTrl.saw-2D.2 detected in both HC and SP methods was also validated in another population comprised of 215 diverse lines. This QTL is a novel QTL that explained the highest phenotypic variation 18% in all QTL identified in the present study. Based on candidate gene and comparative genomics analyses, the QTL QTrl.saw-2D.2 may contain genes closely related to root development in wheat (Triticum aestivum L.). The two candidate genes were proposed to explore in future studies.
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Affiliation(s)
- Xingwei Zheng
- Institute of Wheat Research, Shanxi Academy of Agricultural Sciences, Linfen, China
| | - Xiaojie Wen
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ling Qiao
- Institute of Wheat Research, Shanxi Academy of Agricultural Sciences, Linfen, China
| | - Jiajia Zhao
- Institute of Wheat Research, Shanxi Academy of Agricultural Sciences, Linfen, China
| | - Xiaojun Zhang
- The Shanxi Province Key Laboratory of Crop Genetics and Gene Improvement, Institute of Crop Science, Shanxi Academy of Agricultural Sciences, Taiyuan, Shanxi, China
| | - Xin Li
- The Shanxi Province Key Laboratory of Crop Genetics and Gene Improvement, Institute of Crop Science, Shanxi Academy of Agricultural Sciences, Taiyuan, Shanxi, China
| | - Shuwei Zhang
- The Shanxi Province Key Laboratory of Crop Genetics and Gene Improvement, Institute of Crop Science, Shanxi Academy of Agricultural Sciences, Taiyuan, Shanxi, China
| | - Zujun Yang
- The Shanxi Province Key Laboratory of Crop Genetics and Gene Improvement, Institute of Crop Science, Shanxi Academy of Agricultural Sciences, Taiyuan, Shanxi, China
| | - Zhijian Chang
- The Shanxi Province Key Laboratory of Crop Genetics and Gene Improvement, Institute of Crop Science, Shanxi Academy of Agricultural Sciences, Taiyuan, Shanxi, China
| | - Jianli Chen
- Department of Plant Sciences, University of Idaho, Aberdeen, ID, USA.
| | - Jun Zheng
- Institute of Wheat Research, Shanxi Academy of Agricultural Sciences, Linfen, China.
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