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Genome-Wide Identification of QTLs for Grain Protein Content Based on Genotyping-by-Resequencing and Verification of qGPC1-1 in Rice
Wu, Yi-Bo; Li, Guan; Zhu, Yu-Jun; Cheng, Yi-Chen; Yang, Jin-Yu; Chen, Hui-Zhe; Song, Xian-Jun; Ying, Jie-Zheng
2020
发表期刊INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
卷号21期号:2
摘要To clarify the genetic mechanism underlying grain protein content (GPC) and to improve rice grain qualities, the mapping and cloning of quantitative trait loci (QTLs) controlling the natural variation of GPC are very important. Based on genotyping-by-resequencing, a total of 14 QTLs were detected with the Huanghuazhan/Jizi1560 (HHZ/JZ1560) recombinant inbred line (RIL) population in 2016 and 2017. Seven of the fourteen QTLs were repeatedly identified across two years. Using three residual heterozygote-derived populations, a stably inherited QTL named as qGPC1-1 was validated and delimited to a 862 kb marker interval JD1006-JD1075 on the short arm of chromosome 1. Comparing the GPC values of the RIL population determined by near infrared reflectance spectroscopy (NIRS) and Kjeldahl nitrogen determination (KND) methods, high correlation coefficients (0.966 and 0.983) were observed in 2016 and 2017. Furthermore, 12 of the 14 QTLs were identically identified with the GPC measured by the two methods. These results indicated that instead of the traditional KND method, the rapid and easy-to-operate NIRS was suitable for analyzing a massive number of samples in mapping and cloning QTLs for GPC. Using the gel-based low-density map consisted of 208 simple sequence repeat (SSR) and insert/deletion (InDel) markers, the same number of QTLs (fourteen) were identified in the same HHZ/JZ1560 RIL population, and three QTLs were repeatedly detected across two years. More stably expressed QTLs were identified based on the genome resequencing, which might be attributed to the high-density map, increasing the detection power of minor QTLs. Our results are helpful in dissecting the genetic basis of GPC and improving rice grain qualities through molecular assisted selection.
关键词quantitative trait locus grain protein content single nucleotide polymorphism residual heterozygote rice (Oryza sativa) specific length amplified fragment sequencing Kjeldahl nitrogen determination near infrared reflectance spectroscopy
学科领域Biochemistry & Molecular Biology ; Chemistry, Multidisciplinary
DOI10.3390/ijms21020408
收录类别SCI
语种英语
WOS关键词QUANTITATIVE TRAIT LOCI ; QUALITY TRAITS ; LINE POPULATION ; AMYLOSE CONTENT ; CHALKINESS ; PLANT
WOS研究方向Biochemistry & Molecular Biology ; Chemistry
WOS记录号WOS:000515380000038
出版者MDPI
文献子类Article
出版地BASEL
EISSN1422-0067
资助机构Chinese High-yielding Transgenic Program [2016ZX08001-004]
作者邮箱15978677129@163.com ; li@ricescience.org ; yjzhu2013@163.com ; 13872209530@163.com ; yang_15271211512@163.com ; chenhuizhe@163.com ; songxj@ibcas.ac.cn ; yingjiezheng@caas.cn
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/21893
专题中科院植物分子生理学重点实验室
作者单位1.[Wu, Yi-Bo
2.Li, Guan
3.Zhu, Yu-Jun
4.Cheng, Yi-Chen
5.Yang, Jin-Yu
6.Chen, Hui-Zhe
7.China Natl Rice Res Inst, State Key Lab Rice Biol, Hangzhou 310006, Peoples R China
8.China Natl Rice Res Inst, Chinese Natl Ctr Rice Improvement, Hangzhou 310006, Peoples R China
9.Chinese Acad Sci, Inst Bot, Key Lab Plant Mol Physiol, Beijing 100093, Peoples R China
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GB/T 7714
Wu, Yi-Bo,Li, Guan,Zhu, Yu-Jun,et al. Genome-Wide Identification of QTLs for Grain Protein Content Based on Genotyping-by-Resequencing and Verification of qGPC1-1 in Rice[J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,2020,21(2).
APA Wu, Yi-Bo.,Li, Guan.,Zhu, Yu-Jun.,Cheng, Yi-Chen.,Yang, Jin-Yu.,...&Ying, Jie-Zheng.(2020).Genome-Wide Identification of QTLs for Grain Protein Content Based on Genotyping-by-Resequencing and Verification of qGPC1-1 in Rice.INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES,21(2).
MLA Wu, Yi-Bo,et al."Genome-Wide Identification of QTLs for Grain Protein Content Based on Genotyping-by-Resequencing and Verification of qGPC1-1 in Rice".INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 21.2(2020).
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