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Identification and Validation of QTLs for Macronutrient Contents in Brown and Milled Rice Using Two Backcross Populations between Oryza sativa and O. rufipogon

文献类型： 外文期刊

作者： Hu, Biao-lin 1 ; Li, Xia 1 ; Wu, Ting 1 ; Huang, De-run 2 ; Huang, Feng-lin 3 ; Yin, Jian-hua 1 ; Wu, Yan-shou 1 ;

作者机构： 1.Jiangxi Acad Agr Sci, Natl Engn Lab Rice Nanchang, Rice Res Inst, Nanchang 330200, Jiangxi, Peoples R China

2.China Natl Rice Res Inst, Chinese Natl Ctr Rice Improvement, State Key Lab Rice Biol, Hangzhou 310006, Peoples R China

3.Minist Agr, Key Lab Indica Rice Genet & Breeding Middle & Low, Changsha 410125, Peoples R China

期刊名称：BIOMED RESEARCH INTERNATIONAL （ 影响因子：3.411； 五年影响因子：3.62 ）

ISSN： 2314-6133

年卷期： 2021 年 2021 卷

页码：

收录情况： SCI

摘要： Mineral malnutrition as a prevalent public health issue can be alleviated by increasing the intake of dietary minerals from major staple crops, such as rice. Identification of the gene responsible for mineral contents in rice would help breed cultivars enriched with minerals through marker-assisted selection. Two segregating populations of backcross inbred lines (BIL) were employed to map quantitative trait loci (QTLs) for macronutrient contents in brown and milled rice, BC1F5, and BC2F4:5 derived from an interspecific cross of Xieqingzao B (Oryza sativa) and Dongxiang wild rice (O. rufipogon). Phenotyping the populations was conducted in multiple locations and years, and up to 169 DNA markers were used for the genotyping. A total of 17 QTLs for P, K, Na, Ca, and Mg contents in brown and milled rice distributed on eight regions were identified in the BC1F5 population, which is explained to range from 5.98% to 56.80% of phenotypic variances. Two regions controlling qCa1.1 and qCa4.1 were validated, and seven new QTLs for Ca and Mg contents were identified in the BC2F4:5 population. 18 of 24 QTLs were clustered across seven chromosomal regions, indicating that different mineral accumulation might be involved in common regulatory pathways. Of 24 QTLs identified in two populations, 16 having favorable alleles were derived from O. rufipogon and 10 were novel. These results will not only help understand the molecular mechanism of macronutrient accumulation in rice but also provide candidate QTLs for further gene cloning and grain nutrient improvement through QTL pyramiding.

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