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当前位置: 首页 > 文章 > QTL mapping of seedling biomass and root traits under different nitrogen conditions in bread wheat (Triticum aestivum L.) 农业科学学报 (英文) 2021,20 (5)
Position: Home > Articles > QTL mapping of seedling biomass and root traits under different nitrogen conditions in bread wheat (Triticum aestivum L.) Journal of Integrative Agriculture 2021,20 (5)

QTL mapping of seedling biomass and root traits under different nitrogen conditions in bread wheat (Triticum aestivum L.)

作  者：
Yang Meng-jiao;Wang Cai-rong;Hassan, Muhammad Adeel;Wu Yu-ying;Xia Xian-chun;Shi Shu-bing;Xiao Yong-gui;He Zhong-hu
单  位：
Xinjiang Agr Univ, Coll Agr, Urumqi 830052, Peoples R China;CAAS, Int Maize & Wheat Improvement Ctr CIMMYT, Beijing 100081, Peoples R China;Inst Agr Sci Yili Prefecture, Yining 835000, Peoples R China;Chinese Acad Agr Sci CAAS, Natl Wheat Improvement Ctr, Inst Crop Sci, Beijing 100081, Peoples R China
关键词：
KASP marker;QTL analysis;root traits;SNP array;Triticum aestivum
摘  要：
Plant nitrogen assimilation and use efficiency in the seedling?s root system are beneficial for adult plants in field condition for yield enhancement. Identification of the genetic basis between root traits and N uptake plays a crucial role in wheat breeding. In the present study, 198 doubled haploid lines from the cross of Yangmai 16/Zhongmai 895 were used to identify quantitative trait loci (QTLs) underpinning four seedling biomass traits and five root system architecture (RSA) related traits. The plants were grown under hydroponic conditions with control, low and high N treatments (Ca(NO3)(2)center dot 4H(2)O at 0, 0.05 and 2.0 mmol L?1, respectively). Significant variations among the treatments and genotypes, and positive correlations between seedling biomass and RSA traits (r=0.20 to 0.98) were observed. Inclusive composite interval mapping based on a high-density map from the Wheat 660K single nucleotide polymorphisms (SNP) array identified 51 QTLs from the three N treatments. Twelve new QTLs detected on chromosomes 1AL (1) in the control, 1DS (2) in high N treatment, 4BL (5) in low and high N treatments, and 7DS (3) and 7DL (1) in low N treatments, are first reported in influencing the root and biomass related traits for N uptake. The most stable QTLs (RRS.caas-4DS) on chromosome 4DS, which were related to ratio of root to shoot dry weight trait, was in close proximity of the Rht-D1 gene, and it showed high phenotypic effects, explaining 13.1% of the phenotypic variance. Twenty-eight QTLs were clustered in 12 genetic regions. SNP markers tightly linked to two important QTLs clusters C10 and C11 on chromosomes 6BL and 7BL were converted to kompetitive allele-specific PCR (KASP) assays that underpin important traits in root development, including root dry weight, root surface area and shoot dry weight. These QTLs, clusters and KASP assays can greatly improve the efficiency of selection for root traits in wheat breeding programmes.

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