Literature DB >> 30255337

Identification of QTL regions for seedling root traits and their effect on nitrogen use efficiency in wheat (Triticum aestivum L.).

Xiaoli Fan1, Wei Zhang2,3, Na Zhang2,3, Mei Chen2, Shusong Zheng3, Chunhua Zhao4, Jie Han2, Jiajia Liu2, Xilan Zhang2, Liqiang Song2,3, Jun Ji2,3, Xigang Liu2,3, Hongqing Ling3, Yiping Tong3, Fa Cui5, Tao Wang6, Junming Li7,8.   

Abstract

KEY MESSAGE: QTL for a wheat ideotype root system and its plasticity to nitrogen deficiency were characterized. Root system architecture-related traits (RRTs) and their plasticity to nitrogen availability are important for nitrogen acquisition and yield formation in wheat (Triticum aestivum L.). In this study, quantitative trait loci (QTL) analysis was conducted under different nitrogen conditions, using the seedlings of 188 recombinant inbred lines derived from a cross between Kenong 9204 and Jing 411. Fifty-three QTL for seven RRTs and fourteen QTL for the plasticity of these RRTs to nitrogen deficiency were detected. Thirty of these QTL were mapped in nine clusters on chromosomes 2B, 2D, 3A, 3D, 6B, 6D, 7A and 7B. Six of these nine clusters were also colocated with loci for nitrogen use efficiency (NUE)-related traits (NRTs). Among them, three QTL clusters (C2B, C6D and C7B) were highlighted, considering that they individually harbored three stable robust QTL (i.e., QMrl-2B.1, QdRs-6D and QMrl-7B). C2B and C7B stably contributed to the optimal root system, and C6D greatly affected the plasticity of RRTs in response to nitrogen deficiency. However, strong artificial selection was only observed for C7B in 574 derivatives of Kenong 9204. Covariance analysis identified QMrl-7B as the major contributor in C7B that affected the investigated NRTs in mature plants. Phenotypic analysis indicated that thousand kernel weight might represent a "concomitant" above-ground trait of the "hidden" RRTs controlled by C7B, which are used for breeding selection. Dissecting these QTL regions with potential breeding value will ultimately facilitate the selection of donor lines with both high yield and NUE in wheat breeding programs.

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Year:  2018        PMID: 30255337     DOI: 10.1007/s00122-018-3183-6

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  41 in total

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Authors:  Hong Zhang; Fa Cui; Lin Wang; Jun Li; Anming Ding; Chunhua Zhao; Yinguang Bao; Qiuping Yang; Honggang Wang
Journal:  J Genet       Date:  2013       Impact factor: 1.166

3.  Dissection of QTL effects for root traits using a chromosome arm-specific mapping population in bread wheat.

Authors:  Sundrish Sharma; Shizhong Xu; Bahman Ehdaie; Aaron Hoops; Timothy J Close; Adam J Lukaszewski; J Giles Waines
Journal:  Theor Appl Genet       Date:  2010-12-11       Impact factor: 5.699

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Authors:  Jack Christopher; Mandy Christopher; Raeleen Jennings; Shirley Jones; Susan Fletcher; Andrew Borrell; Ahmad M Manschadi; David Jordan; Emma Mace; Graeme Hammer
Journal:  Theor Appl Genet       Date:  2013-03-24       Impact factor: 5.699

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Review 8.  Nitrogen regulation of root branching.

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Review 2.  Biochemical and Genetic Approaches Improving Nitrogen Use Efficiency in Cereal Crops: A Review.

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6.  Genome-Wide Association Study on Root System Architecture and Identification of Candidate Genes in Wheat (Triticum aestivum L.).

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7.  A major quantitative trait locus for wheat total root length associated with precipitation distribution.

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9.  Quantitative trait loci identification and breeding value estimation of grain weight-related traits based on a new wheat 50K single nucleotide polymorphism array-derived genetic map.

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Review 10.  The physiological mechanism underlying root elongation in response to nitrogen deficiency in crop plants.

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