High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6
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...
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| Published in | PloS one Vol. 10; no. 2; p. e0118144 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
2015
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
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| 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. |
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| AbstractList | 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. 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. 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. 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. |
| Author | Zhou, Sheng-Hui Cui, Yu Wang, Li-Xin Wang, Li-Li Chen, Yong-Xing Liang, Yong Chen, Jiao-Jiao Zhang, Yan Yuan, Cheng-Guo Han, Jun Xie, Jing-Zhong Wang, Guo-Xin Li, De-Lin Luo, Ming-Cheng Wu, Qiu-Hong Zhang, Dong Zhang, De-Yun Sun, Qi-Xin Zhao, Xiao-Jie Wang, Ling Ouyang, Shu-Hong Wang, Zhen-Zhong Wang, Ji-Rui Huang, Yin-Lian Dang, Chen Liu, Zhi-Yong Xiao, Yao Li, Jie Fu, Lin Peng, Hui-Ru Yu, Mei-Hua You, Ming-Shan Qin, Jin-Xia Lu, Ping Wang, Hao |
| AuthorAffiliation | 5 Beijing University of Agriculture, Beijing 102206, China 2 Department of Plant Sciences, University of California at Davis, Davis 95616, United States of America Nanjing Forestry University, CHINA 1 State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China 4 Beijing Academy of Agriculture and Forestry Sciences, Beijing 100197, China 3 Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, China |
| AuthorAffiliation_xml | – name: 1 State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – name: 2 Department of Plant Sciences, University of California at Davis, Davis 95616, United States of America – name: 4 Beijing Academy of Agriculture and Forestry Sciences, Beijing 100197, China – name: Nanjing Forestry University, CHINA – name: 5 Beijing University of Agriculture, Beijing 102206, China – name: 3 Triticeae Research Institute, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, China |
| Author_xml | – sequence: 1 givenname: Qiu-Hong surname: Wu fullname: Wu, Qiu-Hong organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 2 givenname: Yong-Xing surname: Chen fullname: Chen, Yong-Xing organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 3 givenname: Sheng-Hui surname: Zhou fullname: Zhou, Sheng-Hui organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 4 givenname: Lin surname: Fu fullname: Fu, Lin organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 5 givenname: Jiao-Jiao surname: Chen fullname: Chen, Jiao-Jiao organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 6 givenname: Yao surname: Xiao fullname: Xiao, Yao organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 7 givenname: Dong surname: Zhang fullname: Zhang, Dong organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 8 givenname: Shu-Hong surname: Ouyang fullname: Ouyang, Shu-Hong organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 9 givenname: Xiao-Jie surname: Zhao fullname: Zhao, Xiao-Jie organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 10 givenname: Yu surname: Cui fullname: Cui, Yu organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 11 givenname: De-Yun surname: Zhang fullname: Zhang, De-Yun organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 12 givenname: Yong surname: Liang fullname: Liang, Yong organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 13 givenname: Zhen-Zhong surname: Wang fullname: Wang, Zhen-Zhong organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 14 givenname: Jing-Zhong surname: Xie fullname: Xie, Jing-Zhong organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 15 givenname: Jin-Xia surname: Qin fullname: Qin, Jin-Xia organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 16 givenname: Guo-Xin surname: Wang fullname: Wang, Guo-Xin organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 17 givenname: De-Lin surname: Li fullname: Li, De-Lin organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 18 givenname: Yin-Lian surname: Huang fullname: Huang, Yin-Lian organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 19 givenname: Mei-Hua surname: Yu fullname: Yu, Mei-Hua organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 20 givenname: Ping surname: Lu fullname: Lu, Ping organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 21 givenname: Li-Li surname: Wang fullname: Wang, Li-Li organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 22 givenname: Ling surname: Wang fullname: Wang, Ling organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 23 givenname: Hao surname: Wang fullname: Wang, Hao organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 24 givenname: Chen surname: Dang fullname: Dang, Chen organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 25 givenname: Jie surname: Li fullname: Li, Jie organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 26 givenname: Yan surname: Zhang fullname: Zhang, Yan organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 27 givenname: Hui-Ru surname: Peng fullname: Peng, Hui-Ru organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 28 givenname: Cheng-Guo surname: Yuan fullname: Yuan, Cheng-Guo organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 29 givenname: Ming-Shan surname: You fullname: You, Ming-Shan organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 30 givenname: Qi-Xin surname: Sun fullname: Sun, Qi-Xin organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China – sequence: 31 givenname: Ji-Rui surname: Wang fullname: Wang, Ji-Rui organization: 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 – sequence: 32 givenname: Li-Xin surname: Wang fullname: Wang, Li-Xin organization: Beijing Academy of Agriculture and Forestry Sciences, Beijing 100197, China – sequence: 33 givenname: Ming-Cheng surname: Luo fullname: Luo, Ming-Cheng organization: Department of Plant Sciences, University of California at Davis, Davis 95616, United States of America – sequence: 34 givenname: Jun surname: Han fullname: Han, Jun organization: Beijing University of Agriculture, Beijing 102206, China – sequence: 35 givenname: Zhi-Yong surname: Liu fullname: Liu, Zhi-Yong organization: State Key Laboratory for Agrobiotechnology / Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25675376$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1038/nprot.2006.384 10.1016/j.plaphy.2013.09.003 10.1111/nph.12164 10.1007/s00122-008-0764-9 10.1007/s10142-007-0053-8 10.1007/s00122-002-1111-1 10.1038/ng2014 10.1007/s11032-010-9524-z 10.1186/1471-2229-14-128 10.1111/j.1467-7652.2009.00404.x 10.1007/s00122-002-1179-7 10.1007/s00122-009-1059-5 10.1126/science.1143986 10.1073/pnas.1217133110 10.2135/cropsci1999.0011183X003900040039x 10.1007/s00425-013-1860-x 10.1007/s00122-010-1437-z 10.1007/s00122-006-0346-7 10.1007/s10681-008-9794-2 10.1016/j.biotechadv.2011.09.015 10.1007/s00122-005-0172-3 10.1007/s11032-008-9210-6 10.1007/s00122-008-0804-5 10.1093/genetics/149.4.2007 10.1073/pnas.252763199 10.1007/s00122-004-1740-7 10.1007/BF00015722 10.1371/journal.pone.0031249 10.2135/cropsci2012.10.0609 10.1007/s10681-012-0785-y 10.1139/G06-063 10.1534/genetics.105.041632 10.1007/s001220051703 10.1111/j.1469-1809.1943.tb02321.x 10.1007/s11032-007-9080-3 10.1111/j.1469-8137.2012.04194.x 10.1016/j.fcr.2006.11.008 10.1007/s00122-008-0901-5 10.1007/s10681-012-0783-0 10.1046/j.1439-0523.2001.00552.x 10.1139/g00-042 10.1007/s001220051437 10.1111/pbi.12183 10.1007/s10681-006-9133-4 10.1007/BF03208872 10.1105/tpc.110.074153 10.1007/s00122-009-1232-x 10.1073/pnas.1219082110 10.1016/j.fcr.2013.07.012 10.1007/s11032-012-9786-8 10.1046/j.1439-0523.2003.00896.x 10.1007/s10142-010-0188-x 10.1371/journal.pone.0029432 10.1007/s00122-004-1902-7 10.1007/s11032-011-9693-4 |
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| Copyright | 2015 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2015 Wu et al 2015 Wu et al |
| Copyright_xml | – notice: 2015 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2015 Wu et al 2015 Wu et al |
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| DocumentTitleAlternate | Wheat High-density Genetic Linkage Map and Grain Size and Shape QTL |
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| Editor | Yin, Tongming |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Conceived and designed the experiments: QHW YXC MCL JH ZYL. Performed the experiments: QHW YXC SHZ LF JJC YX DZ SHO XJZ YC DYZ YL ZZW JZX JXQ GXW MHY PL LLW LW HW CD JL YZ CGY MSY QXS. Analyzed the data: QHW JZX DLL YLH HRP JRW MCL ZYL. Contributed reagents/materials/analysis tools: LXW JRW JH ZYL. Wrote the paper: QHW SHO ZYL. Competing Interests: The authors have declared that no competing interests exist. Current address: Gaoyi Stock Seed Farm, Gaoyi 051330, China |
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| References | P Ramya (ref5) 2010; 51 PK Gupta (ref1) 2006; 49 F Marza (ref59) 2006; 112 R Patil (ref52) 2013; 190 E Pestsova (ref31) 2000; 43 J Chang (ref17) 2013; 237 Q Zhuang (ref29) 2003 MS Röder (ref13) 2008; 8 D Ma (ref14) 2012; 29 MC Luo (ref48) 2013; 110 Y Guo (ref18) 2013; 154 XJ Song (ref54) 2007; 39 X Huang (ref39) 2006; 113 R Mir (ref56) 2012; 29 B Dholakia (ref4) 2003; 122 G Allen (ref30) 2006; 1 CR Cavanagh (ref28) 2013; 110 S Wang (ref34) 2014; 12 A Giura (ref8) 1996; 89 X Wu (ref55) 2012; 7 S Chao (ref45) 2009; 23 Z Su (ref6) 2011; 122 K Williams (ref11) 2014; 54 X Huang (ref24) 2003; 106 JR Wang (ref49) 2013; 198 R Wang (ref27) 2009; 118 KG Campbell (ref3) 1999; 39 J Ammiraju (ref20) 2001; 102 J Dubcovsky (ref47) 2007; 316 L Wang (ref26) 2012; 7 K Williams (ref10) 2013; 190 Q Jiang (ref15) 2011; 11 S Li (ref51) 2007; 20 J Peng (ref58) 2003; 100 MS Röder (ref32) 1998; 149 A Bérard (ref44) 2009; 7 N Kumar (ref25) 2006; 151 S Xue (ref41) 2008; 117 DJ Somers (ref33) 2004; 109 L Lincoln (ref35) 1993 L Zhang (ref16) 2012; 195 D Kosambi (ref36) 1943; 12 F Breseghello (ref21) 2007; 101 XY Sun (ref7) 2009; 165 A Rasheed (ref12) 2014; 14 VC Gegas (ref23) 2010; 22 X Sun (ref40) 2010; 120 E Paux (ref53) 2012; 30 C Pozzi (ref2) 2005 C Groos (ref38) 2003; 106 J Dvorak (ref46) 2005; 171 RK Varshney (ref9) 2000; 100 R Liu (ref37) 2003; 25 F Cui (ref57) 2013; 31 JL Cuthbert (ref22) 2008; 117 G Kang (ref19) 2013; 73 S Zanetti (ref42) 2001; 120 S Quarrie (ref50) 2005; 110 E Akhunov (ref43) 2009; 119 |
| References_xml | – volume: 1 start-page: 2320 year: 2006 ident: ref30 article-title: A modified protocol for rapid DNA isolation from plant tissues using cetyltrimethylammonium bromide publication-title: Nature Protocols doi: 10.1038/nprot.2006.384 contributor: fullname: G Allen – volume: 73 start-page: 93 year: 2013 ident: ref19 article-title: Increasing the starch content and grain weight of common wheat by overexpression of the cytosolic AGPase large subunit gene publication-title: Plant Physiol Biochem doi: 10.1016/j.plaphy.2013.09.003 contributor: fullname: G Kang – volume: 198 start-page: 925 year: 2013 ident: ref49 article-title: Aegilops tauschii single nucleotide polymorphisms shed light on the origins of wheat D-genome genetic diversity and pinpoint the geographic origin of hexaploid wheat publication-title: New phytologist doi: 10.1111/nph.12164 contributor: fullname: JR Wang – volume: 117 start-page: 181 year: 2008 ident: ref41 article-title: A high-density intervarietal map of the wheat genome enriched with markers derived from expressed sequence tags publication-title: Theor Appl Genet doi: 10.1007/s00122-008-0764-9 contributor: fullname: S Xue – volume: 8 start-page: 79 year: 2008 ident: ref13 article-title: Fine mapping of the region on wheat chromosome 7D controlling grain weight publication-title: Funct Integr Genomics doi: 10.1007/s10142-007-0053-8 contributor: fullname: MS Röder – volume: 106 start-page: 1032 year: 2003 ident: ref38 article-title: Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat publication-title: Theor Appl Genet doi: 10.1007/s00122-002-1111-1 contributor: fullname: C Groos – volume: 39 start-page: 623 year: 2007 ident: ref54 article-title: A QTL for rice kernel width and weight encodes a previously unknown RING-type E3 ubiquitin ligase publication-title: Nat Genet doi: 10.1038/ng2014 contributor: fullname: XJ Song – volume: 29 start-page: 43 year: 2012 ident: ref14 article-title: Characterization of a cell wall invertase gene TaCwi-A1 on common wheat chromosome 2A and development of functional markers publication-title: Mol Breed doi: 10.1007/s11032-010-9524-z contributor: fullname: D Ma – volume: 14 start-page: 128 year: 2014 ident: ref12 article-title: Genome-wide association for grain morphology in synthetic hexaploid wheats using digital imaging analysis publication-title: BMC Plant Biology doi: 10.1186/1471-2229-14-128 contributor: fullname: A Rasheed – volume: 7 start-page: 364 year: 2009 ident: ref44 article-title: High-throughput single nucleotide polymorphism genotyping in wheat (Triticum spp.) publication-title: Plant Biotechnology Journal doi: 10.1111/j.1467-7652.2009.00404.x contributor: fullname: A Bérard – volume: 106 start-page: 1379 year: 2003 ident: ref24 article-title: Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.) publication-title: Theor Appl Genet doi: 10.1007/s00122-002-1179-7 contributor: fullname: X Huang – volume: 119 start-page: 507 year: 2009 ident: ref43 article-title: Single nucleotide polymorphism genotyping in polyploid wheat with the Illumina GoldenGate assay publication-title: Theor Appl Genet doi: 10.1007/s00122-009-1059-5 contributor: fullname: E Akhunov – volume: 316 start-page: 1862 year: 2007 ident: ref47 article-title: Genome plasticity a key factor in the success of polyploid wheat under domestication publication-title: Science doi: 10.1126/science.1143986 contributor: fullname: J Dubcovsky – volume: 110 start-page: 8057 year: 2013 ident: ref28 article-title: Genome-wide comparative diversity uncovers multiple targets of selection for improvement in hexaploid wheat landraces and cultivars publication-title: Proceedings of the National Academy of Sciences USA doi: 10.1073/pnas.1217133110 contributor: fullname: CR Cavanagh – volume: 39 start-page: 1184 year: 1999 ident: ref3 article-title: Quantitative trait loci associated with kernel traits in a soft × hard wheat cross publication-title: Crop Science doi: 10.2135/cropsci1999.0011183X003900040039x contributor: fullname: KG Campbell – volume: 237 start-page: 1495 year: 2013 ident: ref17 article-title: Polymorphism of TaSAP1-A1 and its association with agronomic traits in wheat publication-title: Planta doi: 10.1007/s00425-013-1860-x contributor: fullname: J Chang – volume: 122 start-page: 211 year: 2011 ident: ref6 article-title: Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (Triticum aestivum L.) publication-title: Theor Appl Genet doi: 10.1007/s00122-010-1437-z contributor: fullname: Z Su – volume: 113 start-page: 753 year: 2006 ident: ref39 article-title: Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.) publication-title: Theor Appl Genet doi: 10.1007/s00122-006-0346-7 contributor: fullname: X Huang – volume: 165 start-page: 615 year: 2009 ident: ref7 article-title: QTL analysis of kernel shape and weight using recombinant inbred lines in wheat publication-title: Euphytica doi: 10.1007/s10681-008-9794-2 contributor: fullname: XY Sun – volume: 30 start-page: 1071 year: 2012 ident: ref53 article-title: Sequence-based marker development in wheat: advances and applications to breeding publication-title: Biotechnology Advances doi: 10.1016/j.biotechadv.2011.09.015 contributor: fullname: E Paux – volume: 112 start-page: 688 year: 2006 ident: ref59 article-title: Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark publication-title: Theor Appl Genet doi: 10.1007/s00122-005-0172-3 contributor: fullname: F Marza – volume: 23 start-page: 23 year: 2009 ident: ref45 article-title: Analysis of gene-derived SNP marker polymorphism in US wheat (Triticum aestivum L.) cultivars publication-title: Molecular Breeding doi: 10.1007/s11032-008-9210-6 contributor: fullname: S Chao – start-page: 1 year: 1993 ident: ref35 article-title: Constructing Genetic Linkage Maps with MAPMAKER/EXP Version 3.0: A Tutorial and Reference Manual contributor: fullname: L Lincoln – volume: 117 start-page: 595 year: 2008 ident: ref22 article-title: Molecular mapping of quantitative trait loci for yield and yield components in spring wheat (Triticum aestivum L.) publication-title: Theor Appl Genet doi: 10.1007/s00122-008-0804-5 contributor: fullname: JL Cuthbert – volume: 149 start-page: 2007 year: 1998 ident: ref32 article-title: A microsatellite map of wheat publication-title: Genetics doi: 10.1093/genetics/149.4.2007 contributor: fullname: MS Röder – volume: 100 start-page: 2489 year: 2003 ident: ref58 article-title: Domestication quantitative trait loci in Triticum dicoccoides, the progenitor of wheat publication-title: Proceedings of the National Academy of Sciences USA doi: 10.1073/pnas.252763199 contributor: fullname: J Peng – volume: 109 start-page: 1105 year: 2004 ident: ref33 article-title: A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.) publication-title: Theor Appl Genet doi: 10.1007/s00122-004-1740-7 contributor: fullname: DJ Somers – volume: 89 start-page: 77 year: 1996 ident: ref8 article-title: Chromosomal location of genes controlling grain size in a large grained selection of wheat (Triticum aestivum L.) publication-title: Euphytica doi: 10.1007/BF00015722 contributor: fullname: A Giura – volume: 7 start-page: e31249 year: 2012 ident: ref55 article-title: Genetic insight into yield-associated traits of wheat grown in multiple rain-fed environments publication-title: PloS ONE doi: 10.1371/journal.pone.0031249 contributor: fullname: X Wu – volume: 54 start-page: 98 year: 2014 ident: ref11 article-title: Three-dimensional seed size and shape QTL in hexaploid wheat (Triticum aestivum L.) populations publication-title: Crop Sci doi: 10.2135/cropsci2012.10.0609 contributor: fullname: K Williams – volume: 190 start-page: 117 year: 2013 ident: ref52 article-title: Mapping of QTL for agronomic traits and kernel characters in durum wheat (Triticum durum Desf.) publication-title: Euphytica doi: 10.1007/s10681-012-0785-y contributor: fullname: R Patil – start-page: 165 year: 2005 ident: ref2 article-title: Cereal Genomics contributor: fullname: C Pozzi – volume: 49 start-page: 565 year: 2006 ident: ref1 article-title: Genetic and molecular basis of grain size and grain number and its relevance to grain productivity in higher plants publication-title: Genome doi: 10.1139/G06-063 contributor: fullname: PK Gupta – volume: 171 start-page: 323 year: 2005 ident: ref46 article-title: Tempos of gene locus deletions and duplications and their relationship to recombination rate during diploid and polyploid evolution in the Aegilops-Triticum alliance publication-title: Genetics doi: 10.1534/genetics.105.041632 contributor: fullname: J Dvorak – volume: 102 start-page: 726 year: 2001 ident: ref20 article-title: Identification of inter simple sequence repeat (ISSR) markers associated with seed size in wheat publication-title: Theor Appl Genet doi: 10.1007/s001220051703 contributor: fullname: J Ammiraju – volume: 12 start-page: 172 year: 1943 ident: ref36 article-title: The estimation of map distances from recombination values publication-title: Annals of Eugenics doi: 10.1111/j.1469-1809.1943.tb02321.x contributor: fullname: D Kosambi – volume: 20 start-page: 167 year: 2007 ident: ref51 article-title: A intervarietal genetic map and QTL analysis for yield traits in wheat publication-title: Molecular Breeding doi: 10.1007/s11032-007-9080-3 contributor: fullname: S Li – volume: 195 start-page: 574 year: 2012 ident: ref16 article-title: TaCKX6-D1, the ortholog of rice OsCKX2, is associated with grain weight in hexaploid wheat publication-title: New Phytol doi: 10.1111/j.1469-8137.2012.04194.x contributor: fullname: L Zhang – volume: 101 start-page: 172 year: 2007 ident: ref21 article-title: QTL analysis of kernel size and shape in two hexaploid wheat mapping populations publication-title: Field Crops Research doi: 10.1016/j.fcr.2006.11.008 contributor: fullname: F Breseghello – volume: 118 start-page: 313 year: 2009 ident: ref27 article-title: QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai× Yu8679 publication-title: Theor Appl Genet doi: 10.1007/s00122-008-0901-5 contributor: fullname: R Wang – volume: 190 start-page: 99 year: 2013 ident: ref10 article-title: Comparison of digital image analysis using elliptic fourier descriptors and major dimensions to phenotype seed shape in hexaploid wheat (Triticum aestivum L.) publication-title: Euphytica doi: 10.1007/s10681-012-0783-0 contributor: fullname: K Williams – volume: 120 start-page: 13 year: 2001 ident: ref42 article-title: Genetic analysis of bread-making quality in wheat and spelt publication-title: Plant Breeding doi: 10.1046/j.1439-0523.2001.00552.x contributor: fullname: S Zanetti – volume: 43 start-page: 689 year: 2000 ident: ref31 article-title: Isolation and mapping of microsatellite markers specific for the D genome of bread wheat publication-title: Genome doi: 10.1139/g00-042 contributor: fullname: E Pestsova – volume: 100 start-page: 1290 year: 2000 ident: ref9 article-title: Identification of eight chromosomes and one microsatelite marker on 1AS associated with QTL for grain weight in bread wheat publication-title: Theor Appl Genet doi: 10.1007/s001220051437 contributor: fullname: RK Varshney – year: 2003 ident: ref29 article-title: Chinese wheat improvement and pedigree analysis contributor: fullname: Q Zhuang – volume: 12 start-page: 787 year: 2014 ident: ref34 article-title: Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array publication-title: Plant Biotechnology Journal doi: 10.1111/pbi.12183 contributor: fullname: S Wang – volume: 151 start-page: 135 year: 2006 ident: ref25 article-title: QTL analysis for grain weight in common wheat publication-title: Euphytica doi: 10.1007/s10681-006-9133-4 contributor: fullname: N Kumar – volume: 51 start-page: 421 year: 2010 ident: ref5 article-title: QTL mapping of 1000-kernel weight, kernel length, and kernel width in bread wheat (Triticum aestivum L.) publication-title: J of Appl Gene doi: 10.1007/BF03208872 contributor: fullname: P Ramya – volume: 22 start-page: 1046 year: 2010 ident: ref23 article-title: A genetic framework for grain size and shape variation in wheat publication-title: The Plant Cell doi: 10.1105/tpc.110.074153 contributor: fullname: VC Gegas – volume: 120 start-page: 1041 year: 2010 ident: ref40 article-title: Mapping quantitative trait loci for quality factors in an inter-class cross of US and Chinese wheat publication-title: Theor Appl Genet doi: 10.1007/s00122-009-1232-x contributor: fullname: X Sun – volume: 110 start-page: 7940 year: 2013 ident: ref48 article-title: A 4-gigabase physical map unlocks the structure and evolution of the complex genome of Aegilops tauschii, the wheat D-genome progenitor publication-title: PNAS doi: 10.1073/pnas.1219082110 contributor: fullname: MC Luo – volume: 154 start-page: 119 year: 2013 ident: ref18 article-title: Haplotype, molecular marker and phenotype effects associated with mineral nutrient and grain size traits of TaGS1a in wheat publication-title: Field Crops Res doi: 10.1016/j.fcr.2013.07.012 contributor: fullname: Y Guo – volume: 31 start-page: 265 year: 2013 ident: ref57 article-title: Kernel weight per spike: what contributes to it at the individual QTL level? publication-title: Molecular Breeding doi: 10.1007/s11032-012-9786-8 contributor: fullname: F Cui – volume: 122 start-page: 392 year: 2003 ident: ref4 article-title: Molecular marker analysis of kernel size and shape in bread wheat publication-title: Plant Breeding doi: 10.1046/j.1439-0523.2003.00896.x contributor: fullname: B Dholakia – volume: 11 start-page: 49 year: 2011 ident: ref15 article-title: The wheat (T. aestivum) sucrose synthase 2 gene (TaSus2) active in endosperm development is associated with yield traits publication-title: Funct Integr Genomics doi: 10.1007/s10142-010-0188-x contributor: fullname: Q Jiang – volume: 7 start-page: e29432 year: 2012 ident: ref26 article-title: Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding publication-title: PloS ONE doi: 10.1371/journal.pone.0029432 contributor: fullname: L Wang – volume: 25 start-page: 317 year: 2003 ident: ref37 article-title: MapDraw: a microsoft excel macro for drawing genetic linkage maps based on given genetic linkage data publication-title: Hereditas (Beijing) contributor: fullname: R Liu – volume: 110 start-page: 865 year: 2005 ident: ref50 article-title: A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring× SQ1 and its use to compare QTLs for grain yield across a range of environments publication-title: Theor Appl Genet doi: 10.1007/s00122-004-1902-7 contributor: fullname: S Quarrie – volume: 29 start-page: 963 year: 2012 ident: ref56 article-title: Genetic dissection of grain weight in bread wheat through quantitative trait locus interval and association mapping publication-title: Molecular Breeding doi: 10.1007/s11032-011-9693-4 contributor: fullname: R Mir |
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| SubjectTerms | Aegilops tauschii Agricultural production Agriculture Breeding Chromosome Mapping Chromosomes Composite materials Density Domestication Environment Environmental effects Gene loci Gene mapping Gene-Environment Interaction Genetic Association Studies Genetic Linkage Genetics Genome, Plant Genomes Genomics Goat grass Grain Grain size Humans Inbreeding Laboratories Loci Mapping Microsatellite Repeats Phenotype Phenotypic variations Plant breeding Plant sciences Polymorphism, Single Nucleotide Population density Population genetics Quantitative Trait Loci Quantitative Trait, Heritable Single-nucleotide polymorphism Triticum Triticum - genetics Triticum aestivum Triticum durum Wheat |
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| Title | High-density genetic linkage map construction and QTL mapping of grain shape and size in the wheat population Yanda1817 × Beinong6 |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/25675376 https://www.proquest.com/docview/1654934445 https://search.proquest.com/docview/1656047054 https://pubmed.ncbi.nlm.nih.gov/PMC4326355 https://doaj.org/article/6369103f499e444189d38ba132e0e318 http://dx.doi.org/10.1371/journal.pone.0118144 |
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