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High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6.
PLoS One. 2015; 10(2):e0118144.Plos

Abstract

High-density genetic linkage maps are necessary for precisely mapping quantitative trait loci (QTLs) controlling grain shape and size in wheat. By applying the Infinium iSelect 9K SNP assay, we have constructed a high-density genetic linkage map with 269 F 8 recombinant inbred lines (RILs) developed between a Chinese cornerstone wheat breeding parental line Yanda1817 and a high-yielding line Beinong6. The map contains 2431 SNPs and 128 SSR & EST-SSR markers in a total coverage of 3213.2 cM with an average interval of 1.26 cM per marker. Eighty-eight QTLs for thousand-grain weight (TGW), grain length (GL), grain width (GW) and grain thickness (GT) were detected in nine ecological environments (Beijing, Shijiazhuang and Kaifeng) during five years between 2010-2014 by inclusive composite interval mapping (ICIM) (LOD ≥ 2.5). Among which, 17 QTLs for TGW were mapped on chromosomes 1A, 1B, 2A, 2B, 3A, 3B, 3D, 4A, 4D, 5A, 5B and 6B with phenotypic variations ranging from 2.62% to 12.08%. Four stable QTLs for TGW could be detected in five and seven environments, respectively. Thirty-two QTLs for GL were mapped on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6B, 7A and 7B, with phenotypic variations ranging from 2.62% to 44.39%. QGl.cau-2A.2 can be detected in all the environments with the largest phenotypic variations, indicating that it is a major and stable QTL. For GW, 12 QTLs were identified with phenotypic variations range from 3.69% to 12.30%. We found 27 QTLs for GT with phenotypic variations ranged from 2.55% to 36.42%. In particular, QTL QGt.cau-5A.1 with phenotypic variations of 6.82-23.59% was detected in all the nine environments. Moreover, pleiotropic effects were detected for several QTL loci responsible for grain shape and size that could serve as target regions for fine mapping and marker assisted selection in wheat breeding programs.

Authors+Show Affiliations

State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.Department of Plant Sciences, University of California at Davis, Davis 95616, United States of America; Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, China.Beijing Academy of Agriculture and Forestry Sciences, Beijing 100197, China.Department of Plant Sciences, University of California at Davis, Davis 95616, United States of America.Beijing University of Agriculture, Beijing 102206, China.State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25675376

Citation

Wu, Qiu-Hong, et al. "High-density Genetic Linkage Map Construction and QTL Mapping of Grain Shape and Size in the Wheat Population Yanda1817 × Beinong6." PloS One, vol. 10, no. 2, 2015, pp. e0118144.
Wu QH, Chen YX, Zhou SH, et al. High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6. PLoS One. 2015;10(2):e0118144.
Wu, Q. H., Chen, Y. X., Zhou, S. H., Fu, L., Chen, J. J., Xiao, Y., Zhang, D., Ouyang, S. H., Zhao, X. J., Cui, Y., Zhang, D. Y., Liang, Y., Wang, Z. Z., Xie, J. Z., Qin, J. X., Wang, G. X., Li, D. L., Huang, Y. L., Yu, M. H., ... Liu, Z. Y. (2015). High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6. PloS One, 10(2), e0118144. https://doi.org/10.1371/journal.pone.0118144
Wu QH, et al. High-density Genetic Linkage Map Construction and QTL Mapping of Grain Shape and Size in the Wheat Population Yanda1817 × Beinong6. PLoS One. 2015;10(2):e0118144. PubMed PMID: 25675376.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6. AU - Wu,Qiu-Hong, AU - Chen,Yong-Xing, AU - Zhou,Sheng-Hui, AU - Fu,Lin, AU - Chen,Jiao-Jiao, AU - Xiao,Yao, AU - Zhang,Dong, AU - Ouyang,Shu-Hong, AU - Zhao,Xiao-Jie, AU - Cui,Yu, AU - Zhang,De-Yun, AU - Liang,Yong, AU - Wang,Zhen-Zhong, AU - Xie,Jing-Zhong, AU - Qin,Jin-Xia, AU - Wang,Guo-Xin, AU - Li,De-Lin, AU - Huang,Yin-Lian, AU - Yu,Mei-Hua, AU - Lu,Ping, AU - Wang,Li-Li, AU - Wang,Ling, AU - Wang,Hao, AU - Dang,Chen, AU - Li,Jie, AU - Zhang,Yan, AU - Peng,Hui-Ru, AU - Yuan,Cheng-Guo, AU - You,Ming-Shan, AU - Sun,Qi-Xin, AU - Wang,Ji-Rui, AU - Wang,Li-Xin, AU - Luo,Ming-Cheng, AU - Han,Jun, AU - Liu,Zhi-Yong, Y1 - 2015/02/12/ PY - 2014/09/12/received PY - 2015/01/04/accepted PY - 2015/2/13/entrez PY - 2015/2/13/pubmed PY - 2015/12/15/medline SP - e0118144 EP - e0118144 JF - PloS one JO - PLoS One VL - 10 IS - 2 N2 - High-density genetic linkage maps are necessary for precisely mapping quantitative trait loci (QTLs) controlling grain shape and size in wheat. By applying the Infinium iSelect 9K SNP assay, we have constructed a high-density genetic linkage map with 269 F 8 recombinant inbred lines (RILs) developed between a Chinese cornerstone wheat breeding parental line Yanda1817 and a high-yielding line Beinong6. The map contains 2431 SNPs and 128 SSR & EST-SSR markers in a total coverage of 3213.2 cM with an average interval of 1.26 cM per marker. Eighty-eight QTLs for thousand-grain weight (TGW), grain length (GL), grain width (GW) and grain thickness (GT) were detected in nine ecological environments (Beijing, Shijiazhuang and Kaifeng) during five years between 2010-2014 by inclusive composite interval mapping (ICIM) (LOD ≥ 2.5). Among which, 17 QTLs for TGW were mapped on chromosomes 1A, 1B, 2A, 2B, 3A, 3B, 3D, 4A, 4D, 5A, 5B and 6B with phenotypic variations ranging from 2.62% to 12.08%. Four stable QTLs for TGW could be detected in five and seven environments, respectively. Thirty-two QTLs for GL were mapped on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 4D, 5A, 5B, 6B, 7A and 7B, with phenotypic variations ranging from 2.62% to 44.39%. QGl.cau-2A.2 can be detected in all the environments with the largest phenotypic variations, indicating that it is a major and stable QTL. For GW, 12 QTLs were identified with phenotypic variations range from 3.69% to 12.30%. We found 27 QTLs for GT with phenotypic variations ranged from 2.55% to 36.42%. In particular, QTL QGt.cau-5A.1 with phenotypic variations of 6.82-23.59% was detected in all the nine environments. Moreover, pleiotropic effects were detected for several QTL loci responsible for grain shape and size that could serve as target regions for fine mapping and marker assisted selection in wheat breeding programs. SN - 1932-6203 UR - https://www.unboundmedicine.com/medline/citation/25675376/High_density_genetic_linkage_map_construction_and_QTL_mapping_of_grain_shape_and_size_in_the_wheat_population_Yanda1817_×_Beinong6_ L2 - https://dx.plos.org/10.1371/journal.pone.0118144 DB - PRIME DP - Unbound Medicine ER -