QTL analysis for nitrogen use efficiency in wheat (Triticum aestivum L.)

被引:0
作者
Rakhi Singh
Gautam Saripalli
Anuj Kumar
Tinku Gautam
Susheel Kumar Singh
Vijay Gahlaut
Sachin Kumar
Prabina Kumar Meher
Rajendra Prasad Mishra
Vinod Kumar Singh
Pradeep Kumar Sharma
Harindra Singh Balyan
Pushpendra Kumar Gupta
机构
[1] Ch. Charan Singh University,Department of Genetics and Plant Breeding
[2] University of Maryland,Department of Plant Science and Landscape Architecture
[3] Dalhousie University,Department of Microbiology and Immunology, Canadian Centre for Vaccinology, Faculty of Medicine
[4] Rani Laxmi Bai Central Agricultural University,Department of Soil Science and Agriculture Chemistry
[5] CSIR-Institute of Himalayan Bioresource Technology,Biotechnology Division
[6] ICAR-Indian Agricultural Statistics Research Institute,Department of Biotechnology
[7] ICAR-Indian Institute of Farming Systems Research,undefined
[8] ICAR - Central Research Institute for Dryland Agriculture,undefined
[9] University Center for Research and Development Chandigarh University,undefined
来源
Euphytica | 2023年 / 219卷
关键词
Wheat; Nitrogen use efficiency; Nitrogen uptake efficiency; Nitrogen utilization efficiency; Quantitative trait loci; Candidate genes;
D O I
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学科分类号
摘要
The genetic architecture of nitrogen use efficiency (NUE) and its two component traits i.e. NUpE (N uptake efficiency) and NUtE (N utilization efficiency) was studied using a bi-parental RIL mapping population derived from a cross HUW468 (high NUE)/C306 (low NUE). The mapping population, two parental genotypes and three check genotypes were evaluated under four different N levels (0, 60, 120, and 180 kg/ha) over three years. A genetic map containing 456 SNP markers (2571.38 cM length) was used for QTL analysis. Thirty six main effect QTLs (17 QTLs for NUE, 13 NUpE and 6 QTLs for NUtE) distributed on 12 chromosomes (1B, 1D, 2A, 2B, 3A, 4B, 5A, 5B, 5D, 6A, 6D, and 7A) were identified at 2.52–9.27 LOD scores. Individual QTLs explained 6.65–22.89% phenotypic variation. Multi-traits QTLs (Mt-QTLs) and epistatic QTLs involving first-order epistatic (QTL × QTL) interactions were also discovered. Candidate genes (CGs, as many as 737) were mined from QTL regions which were mainly involved in metabolic process, cellular process and catalytic activity, etc.; differential expression was observed for 49 CGs in roots and 34 in shoots. The CGs encoded important transcription factors, transporters, etc. having a role in NUE. QTLs and CGs reported in this study enriched the available knowledge. Seven QTLs (including three Mt-QTLs) and QTLs involved in six epistatic interactions are recommended for MAS for improvement of NUE in wheat.
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共 205 条
[41]  
Kong FM(1997)Switching between the two action modes of dual affinity nitrate transporter CHL1 by phosphorylation Crop Sci 316 1236-260
[42]  
Xu YF(1998)Nitrogen assimilation in plants: current status and future prospects BMJ 65 745-8
[43]  
Habash DZ(2011)Current status and future prospective for nitrogen use efficiency in wheat ( Plant J 135 965-624
[44]  
Bernard S(2022) L.) Theor Appl Genet 89 99-947
[45]  
Schondelmaier J(2019)QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations Indian J Agric Sci 11 1149-1080
[46]  
Weyen J(2021)Analysis and interpretation of factors which contribute to efficiency of nitrogen utilization Agriculture 91 357-72
[47]  
Quarrie SA(1999)Genome-wide association study and genetic diversity analysis on nitrogen use efficiency in a Central European winter wheat ( Agron J 8 e66428-40
[48]  
Haile D(2013) L.) collection PLoS ONE 12 e0171321-10
[49]  
Nigussie D(2017)Genetic progress in wheat yield and nitrogen use efficiency under four nitrogen rates PLoS ONE 8 2096-913
[50]  
Ayana A(2017)What's wrong with Bonferroni adjustments Front Plant Sci 9 845-1632