欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2009, Vol. 35 ›› Issue (12): 2159-2166.doi: 10.3724/SP.J.1006.2009.02159

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

棉花分子遗传图谱构建和纤维品质性状QTL分析

杨鑫雷，王志伟，张桂寅，潘玉欣，吴立强，李志坤，王省芬，马峙英*   

  1. 河北农业大学/河北省作物种质资源重点实验室，河北保定 071001
  • 收稿日期:2009-04-10 修回日期:2009-07-24 出版日期:2009-12-10 网络出版日期:2009-10-13
  • 通讯作者: 马峙英,E-mail:mzhy@hebau.edu.cn,Tel:0312-7528401;王省芬,E-mail:cotton@hebau.edu.cn,Tel:0312-7528401
  • 基金资助:

    本研究由国家重点基础研究发展规划（863计划）（2006011001040），河北省自然科学基金基地重点项目（C2006001034），河北省自然科学基金（C2005000231），教育部科学技术研究重点项目（205018）资助。

Construction of Molecular Genetic Map and QTL Analysis of Fiber Quality in Cotton（Gossypium hirsutum L.）

YANG Xin-Lei,WANG Zhi-Wei,ZHANG Gui-Yin,PAN Yu-Xin,WU Li-Qiang,LI Zhi-Kun,WANG Xing-Fen,MA Zhi-Ying*   

  1. Key Laboratory of Crop Germplasm Resources of Hebei,Agricultural University of Hebei,Baoding 071001,China
  • Received:2009-04-10 Revised:2009-07-24 Published:2009-12-10 Published online:2009-10-13
  • Contact: MA Zhi-Ying,E-mail:mzhy@hebau.edu.cn,Tel:0312-7528401;WANG Xing-Fen,E-mail:cotton@hebau.edu.cn,Tel:0312-7528401

PDF

2266

被引次数

60

摘要：

以陆地棉(Gossypium hirsutum L.)中棉所8号和海岛棉(Gossypium barbadense L.) Pima90-53组配衍生的214个单株的F2群体为材料，构建了包含110个SSR标记和65个AFLP标记的遗传连锁图谱。该图谱共包括42个连锁群，连锁群长度为4.5~147.3 cM，包括2~22个分子标记，标记间平均距离为11.6 cM，总长为2 030 cM，约占棉花全基因组的40.6%。应用复合区间作图法分析该组合的F2单株和F2:3家系纤维品质性状，共得到25个纤维品质数量性状基因座(QTL)，其中5个与纤维长度相关s，分布在Chr.21、Chr.15、LG2和LG12上，可解释表型变异的10.2%~35.8%；4个与整齐度相关，分布在Chr.21、LG9、LG18和LG12上，可解释表型变异的12.6%~36.6%；7个与马克隆值相关，分布在Chr.9、LG1、LG9、LG20和LG12上，可解释表型变异的11.5%~26.1%；7个与断裂比强度相关，分布在Chr.21、Chr12、Chr.8、LG1、LG4和LG10上，可解释表型变异的16.5%~52.8%；2个与伸长率相关，分布在Chr.9和Chr.21上，可解释表型变异的18.1%和27.1%。LG9、LG12和Chr.21上存在QTL聚集区。

关键词: 棉花, 遗传图谱, SSR, AFLP, 纤维品质, QTL

Abstract:

Cotton is a leading textile fiber crop in the world and a source of secondary products such as oil, live- stock feed (cotton seed cake) and cellulose. The improvement of cotton fiber quality is becoming extremely important with the innovation of spinning technology. A genetic map is necessary not only for the reliable detection, mapping and estimation of gene effects of important agronomic traits, but also for further research on the structure, organization, evolution and function of cotton genome. In the present study, simple sequence repeats (SSRs) and amplified fragment length polymorphism (AFLP)were used to assay anF2 population from a cross between CRI8 (Gossypium hirsutum L.) and Pima90-53 (Gossypium barbadense L.). Two hundred and fourteen F2plantswere used for map construction using 110 SSRs and 65 AFLPs. This map included 175 markers distributing on 42 linkage groups, covering 2030cM, accounting for 40.6% of the cotton genome, and with an average distance of 11.6 cM between two markers. The length of linkage groups ranged from 4.5to 147.3 cM and the markers on the groups ranged from 2 to 22. The linkage map waslocated on 10 chromosomes,which were Chr.4, Chr.8, Chr.9, Chr.10, Chr.12, Chr.14, Chr.15, Chr.18, Chr.21, and Chr.25.Based on composite interval mapping, five QTLs were identified for fiber length, distributing on Chr.21, Chr.15, LG2, and LG12, explaining 10.2%–35.8% of the fiber length variance. Four QTLs were identified for length uniformity, distributing on Chr.21, LG9, LG18, and LG12, explaining 12.6%–36.6% of the fiber length uniformity variance. Seven QTLs were identified for micronaire, distributing on Chr.9, LG1, LG9, LG20, and LG12, explaining 11.5%–26.1% of the fiber micronaire variance. Seven QTLs were identified for strength, distributing on Chr.21, Chr.12, Chr.8, LG1, LG4, and LG10, explaining 16.5%–52.8% of the fiber strength variance. Two QTLs were identified for fiber elongation, distributing on Chr.9 and Chr.21, explaining 18.1% and 27.1% of the fiber elongation variance.Assembledsection of QTLs existed in LG9, LG12, and Chr.21. The present map and QTL analysis may provide a useful tool for breeders to transfer desirable traits from G. barbadense to the mainly cultivated species, G. hirsutum.

Key words: Cotton, Genetic map, SSR, AFLP, Fiber quality, QTL

[1] Reinisch AJ, Dong JM, Brubaker CL, Stelly DM, WendelJF, Paterson AH. A detailed RFLP map ofcotton Gossypium hirsutum × Gossypium barbadense:Chromosomeorganization and evolution in a disomicpolyploid genome. Genetics, 1994, 138:829-847
[2] Han Z G,Wang C B,Song X L,Guo W Z,Guo J Y,Li C H,Chen X Y,Zhang T Z. Characteristics, development and mapping of Gossypium hirsutum derived EST-SSRs in allotetraploid cotton. Theor Appl Genet, 2006, 112: 430-439
[3] Ulloa M, Meredith WR, Shappley ZW, Kahler AL. RFLP genetic linkage maps from F2:3 populations anda joinmap of Gossypium hirsutum. Theor Appl Genet, 2002, 104:200-208
[4] Zhang J, Guo W Z, Zhang T Z. Molecular linkage map of allotetraploid cotton (Gossypium hirsutum L.×Gossypium barbadense L.) with a haploid population. Theor Appl Genet, 2002, 105: 1166-1174
[5] Lacape JM, Nguyen TB, Thibivilliers S, Bojinov B,Courtois B, Cantrell RG, Burr B, Hau B. A combined RFLP-SSR-AFLP map of tetraploidcotton based on Gossypium hirsutum × Gossypiumbarbadense backcross population. Genome, 2003, 46:612-626
[6] Rong J, Abbey C, Bowers JE, Brubaker CL, Chang C,Chee PW, Delmonte TA, Ding X, Garza JJ, MarlerBS, Park C, Pierce GJ, Rainey KM, Rastogi VK,Schulze SR, Trolinder NL, Wendel JF, Wilkins TA,Williams-Coplin TD, Wing RA, Wright RJ, Zhao X,Zhu L, Paterson AH. A 3347-locus geneticrecombination map of sequence-tagged sites revealsfeatures of genome organization, transmission andevolution of cotton (Gossypium). Genetics, 2004, 166:389-417
[7] Nguyen TB, Giband M, Brottier P, Risterucci AM, LacapeJM. Wide coverage of the tetraploid cottongenome using newly developed microsatellite markers.Theor Appl Genet, 2004, 109:167-175
[8] Guo W Z, CaiC P, Wang C B, Han Z G, Song X L, Wang K, Niu X W, Wang C, Lu K Y, Shi B, Zhang T Z. A microsatellite-based, gene-rich linkage map reveals genome structure, function, and evolution in Gossypium. Genetics, 2007, 176: 527-541
[9] Guo W Z, CaiC P, Wang C B, Zhao L, Wang L, Zhang T Z. A preliminary analysis of genome structure and composition in Gossypium hirsutum. BMC Genomics, 2008, 9:314
[10] Yu J W, Yu S X, Lu C R, Wang W, Fan S L, Song M Z,Lin Z X, Zhang X L, Zhang J F. High-density linkage map of cultivated allotetraploid cotton based on SSR, TRAP, SRAP and AFLP markers. J Integra Plant Biol, 2007, 49: 716-724
[11] He D H, Lin Z X, Zhang X L, Nie Y C, Guo X P, Zhang Y X, Li W. QTL mapping for economic traits based on a dense genetic map of cotton with PCR-based markers using theinterspecific cross of Gossypium hirsutum×Gossypium barbadense. Euphytica, 2006, 153: 181-197
[12] Lacape JM, Nguyen TB, Courtois B, Belot JL, Giband M,Gourlot JP, Gawryziak G,Roques S, Hau B. QTL analysis of cotton fiber quality using multipleGossypium hirsutum×Gossypium barbadense backcrossgenerations. Crop Sci, 2005, 45:123-140
[13] Mei M, Syed NH, Gao W, Thaxton PM, Smith CW, StellyDM, Chen ZJ. Genetic mapping and QTLanalysis of fiber-related traits in cotton (Gossypium).Theor Appl Genet, 2004, 108:280-291
[14] Lin ZX, He DH, Zhang XL, Nie YC, Guo XP, Feng CD,Stewart JMcD. Linkage map construction andmapping QTLs for cotton fiber quality using SRAP,SSR and RAPD. Plant Breed, 2005, 124:180-187
[15] Shen X L, Guo W Z, Zhu X F, Yuan Y L, Yu Z, KohelJ, Zhang T Z.Molecular mapping of QTLs for fiber qualities in three diverse linesin Upland cotton using SSR markers.Mol Breed, 2005, 15: 169-181
[16] Zhang T, Yuan Y, Yu J, Guo W, Kohel RJ. Molecular tagging of a major QTL for fiber strengthin upland cotton and its marker-assisted selection.Theor Appl Genet, 2003, 106:262-268
[17] Paterson AH, Brubaker CL, Wendel JF. A rapidmethod for extraction of cotton (Gossypium spp.)genomic DNA suitable for RFLP and PCR analysis.Plant Mol Biol Rep, 1993, 11:112-127
[18] Zhang J(张军), Wu Y-T(武耀廷), Guo W-Z(郭旺珍), Zhang T-Z(张天真). Fast screening of SSR markers in cotton with PAGE/silver staining. Cotton Sci (棉花学报), 2000, 12: 267-269(in Chinese with English abstract)
[19] Vuylsteke M, Peleman J D, van Eijk M JT. AFLP technology for DNA fingerprinting. Nature Protocols, 2007, 2: 1387-1398
[20] Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ,Lincoln SE, Newburg I. MAPMAKER: Aninteractive computer package for constructing primarygenetic linkage maps of experimental and naturalpopulations. Genomics, 1987, 1:174-181
[21] Voorrips R E. MapChart: Software for the graphical presentation of linkage maps and QTLs. J Hered,2002,93: 77-78
[22] Wang S C, Basten C J, Zeng Z B. Windows QTL Cartographer 2.5 user manual. North Carolina State University, 2005
Wang K, Song X L, Han Z G, Guo W Z, JohnZYu,Sun J, Pan J J, KohelJ, Zhang T Z. Complete assignment of the chromosomes of Gossypium hirsutum L. by translocation and fluorescence in situ hybridization mapping. Theor Appl Genet, 2006, 113: 73-80
[1] 赵佳雪, 周龙昊, 郭岂源, 尚伦霄, 王涵, 刘志涛, 陈曦, 张晓佩, 宋宪亮, 毛丽丽. 长期秸秆还田与深松通过改善土壤环境与棉花光合特性提高滨海盐碱地棉花产量[J]. 作物学报, 2026, 52(5): 1548-1560.
[2] 张曦, 王广恩, 李邵琦, 刘祎, 李俊兰, 钱玉源. 基于转录组测序解析陆海杂交姊妹系马克隆值差异的形成机制[J]. 作物学报, 2026, 52(5): 1442-1458.
[3] 张颖星, 宋裕祯, 王跃, 曹越, 曹晓宁, 王瑞云. EMS诱导糜子优异性状突变体的筛选及表型分析[J]. 作物学报, 2026, 52(5): 1388-1400.
[4] 田春艳, 陆鑫, 吴才文, 徐超华, 刘家勇, 边芯, 桃联安. 基于荧光SSR的甘蔗创新种质遗传多样性分析及育种潜力评估[J]. 作物学报, 2026, 52(4): 1057-1072.
[5] 刘长友, 王珅, 时会影, 沈颖超, 孙蕾, 王彦, 张志肖, 苏秋竹, 田静, 范保杰. 基于饭豆基因资源的小豆远缘杂交群体抗豆象QTL定位[J]. 作物学报, 2026, 52(3): 936-944.
[6] 周琦翔, 朱艳, 汪楚博, 朱柏林, 李俊博, 宋利兵. 基于DSSAT模型模拟气候变化对新疆棉花物候期及产量的影响[J]. 作物学报, 2026, 52(2): 590-602.
[7] 张飞飞, 何万龙, 焦文娟, 白斌, 耿洪伟, 程宇坤. 小麦抗条锈病相关性状元分析及候选基因分析[J]. 作物学报, 2025, 51(8): 2111-2127.
[8] 胡蒙, 沙丹, 张晟瑞, 谷勇哲, 张世碧, 李静, 孙君明, 邱丽娟, 李斌. 大豆分枝数QTL定位及候选基因筛选[J]. 作物学报, 2025, 51(7): 1747-1756.
[9] 邵顺伟, 陈卓, 兰振东, 蔡兴奎, 邹华芬, 李晨曦, 唐景华, 朱熙, 张彧, 董建科, 金辉, 宋波涛. 基于BSA-seq技术的块茎芽眼深度QTL定位分析[J]. 作物学报, 2025, 51(7): 1725-1735.
[10] 杨海洋, 吴林宣, 李博纹, 石翰峰, 袁禧龙, 刘金朝, 蔡海荣, 陈诗怡, 郭涛, 王慧. 基于QTL定位发现的OsWRI3调控水稻种子的落粒性[J]. 作物学报, 2025, 51(7): 1712-1724.
[11] 郭栋财, 吕涛, 蔡永生, 买吾鲁达·艾合买提, 全家, 曲延英, 郑凯. 棉花纤维品质相关性状QTL元分析及候选基因鉴定[J]. 作物学报, 2025, 51(6): 1445-1466.
[12] 张金泽, 周庆国, 肖莉晶, 金海润, 欧阳青静, 龙旭, 晏中彬, 田恩堂. 芥菜型油菜不同组织硫苷含量的QTL定位与候选基因分析[J]. 作物学报, 2025, 51(5): 1166-1177.
[13] 王亚雯, 戚正阳, 尤佳琦, 聂新辉, 曹娟, 杨细燕, 涂礼莉, 张献龙, 王茂军. 棉花60K功能位点基因芯片的制备及应用[J]. 作物学报, 2025, 51(5): 1178-1188.
[14] 林伟津, 郭泽佳, 刘浩, 李海芬, 王润风, 黄璐, 余倩霞, 陈小平, 洪彦彬, 李少雄, 鲁清. 花生荚果产量相关性状QTL定位与候选基因分析[J]. 作物学报, 2025, 51(4): 969-981.
[15] 展宗冰, 靳奇峰, 刘迪, 吕迎春, 郭莹, 张雪婷, 虎梦霞, 王尚, 杨芳萍. 甘肃省小麦农家种老芒麦分子鉴定及其重要性状评价[J]. 作物学报, 2025, 51(3): 609-620.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2