High Density Linkage Map Construction and Mapping of Yield Trait QTLs in Maize (Zea mays) Using the Genotyping-by-Sequencing (GBS) Technology

被引:72
作者
Su, Chengfu [1 ,2 ]
Wang, Wei [3 ]
Gong, Shunliang [4 ]
Zuo, Jinghui [1 ]
Li, Shujiang [1 ]
Xu, Shizhong [2 ]
机构
[1] Liupanshui Normal Univ, Dept Life Sci, Liupanshui, Peoples R China
[2] Univ Calif Riverside, Dept Bot & Plant Sci, Riverside, CA 92521 USA
[3] Agr Sci Inst Coastal Reg Jiangsu, Dept Econ Crop, Yancheng, Peoples R China
[4] Liupanshui Acad Agr Sci, Inst Grain & Oil, Liupanshui, Peoples R China
基金
美国国家科学基金会; 高等学校博士学科点专项科研基金;
关键词
bin map; genotyping by sequencing; maize; quantitative trait loci; yield; BREEDING POPULATIONS; GENOMIC SELECTION; VITIS-VINIFERA; PATHWAY GENES; WHITE GRAPES; GRAIN-YIELD; MARKERS; IDENTIFICATION; EXPRESSION; LOCI;
D O I
10.3389/fpls.2017.00706
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Increasing grain yield is the ultimate goal for maize breeding. High resolution quantitative trait loci (QTL) mapping can help us understand the molecular basis of phenotypic variation of yield and thus facilitate marker assisted breeding. The aim of this study is to use genotyping-by-sequencing (GBS) for large-scale SNP discovery and simultaneous genotyping of all F-2 individuals from a cross between two varieties of maize that are in clear contrast in yield and related traits. A set of 199 F2 progeny derived from the cross of varieties SG-5 and SG-7 were generated and genotyped by GBS. A total of 1,046,524,604 reads with an average of 5,258,918 reads per F2 individual were generated. This number of reads represents an approximately 0.36-fold coverage of the maize reference genome Zea_mays. AGPv3.29 for each F2 individual. A total of 68,882 raw SNPs were discovered in the F2 population, which, after stringent filtering, led to a total of 29,927 high quality SNPs. Comparative analysis using these physically mapped marker loci revealed a higher degree of synteny with the reference genome. The SNP genotype data were utilized to construct an intra-specific genetic linkage map of maize consisting of 3,305 bins on 10 linkage groups spanning 2,236.66 cM at an average distance of 0.68 cM between consecutive markers. From this map, we identified 28 QTLs associated with yield traits (100-kernel weight, ear length, ear diameter, cob diameter, kernel row number, corn grains per row, ear weight, and grain weight per plant) using the composite interval mapping (CIM) method and 29 QTLs using the least absolute shrinkage selection operator (LASSO) method. QTLs identified by the CIM method account for 6.4% to 19.7% of the phenotypic variation. Small intervals of three QTLs (qCGR-1, qKW-2, and qGWP-4) contain several genes, including one gene (GRMZM2G139872) encoding the F-box protein, three genes (GRMZM2G180811, GRMZM5G828139, and GRMZM5G873194) encoding the WD40-repeat protein, and one gene (GRMZM2G019183) encoding the UDP-Glycosyltransferase. The work will not only help to understand themechanisms that control yield traits ofmaize, but also provide a basis for marker-assisted selection and map-based cloning in further studies.
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页数:14
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