欢迎访问作物学报,今天是

作物学报 ›› 2010, Vol. 36 ›› Issue (1): 53-60.doi: 10.3724/SP.J.1006.2010.00053

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

陆地棉种子物理性状QTL定位

刘大军,张建,张轲,王威,张正圣*   

  1. 西南大学农学与生物科技学院 / 农业部生物技术与作物品质改良重点实验室, 重庆 400716
  • 收稿日期:2009-04-30 修回日期:2009-08-23 出版日期:2010-01-12 网络出版日期:2009-11-17
  • 通讯作者: 张正圣, E-mail: zhangzs@swu.edu.cn; Tel: 13883608797
  • 基金资助:

    本研究由国家自然科学基金项目(30971827,30871556,30571187)和国家高技术研究发展计划(863计划)项目(2006AA10Z1D3,2006AA100105)资助。

QTL Mapping of Seed Physical Traits in Upland Cotton (Gossypium hirsutum L.)

LIU Da-Jun,ZHANG Jian,ZHANG Ke,Wang Wei,ZHANG Zheng-Sheng*   

  1. Key Laboratory of biotechnology & Crop Quality Improvement of Agricultural Ministry/college of Agronomy & Biotechnology,Southwest University,Chongqing 400716,China
  • Received:2009-04-30 Revised:2009-08-23 Published:2010-01-12 Published online:2009-11-17
  • Contact: ZHANG Zheng-Sheng, E-mail: zhangzs@swu.edu.cn; Tel: 13883608797

摘要:

定位棉花种子性状的基因对揭示棉花种子性状的遗传规律,以及明确棉花种子、产量、纤维品质等性状间的遗传关系具有重要意义。以(渝棉1×T586) F2:7重组近交系群体构建的遗传连锁图谱,在鉴定270个家系3个环境种子物理性状的基础上,利用MQM作图方法,共检测到34个种子物理性状QTL,包括9个种子重(qSW)5个短绒重(qFW)3个短绒率(qFP)8个种仁重(qKW)6个种子壳重(qHW)3个种仁率(qKP)QTL,它们可解释4.6%~80.1%的性状表型变异。9QTL2个或3个环境中被检测到,其中包括第12染色体显性光子位点的短绒重与短绒率QTL,以及另外7个微效应QTL34QTL分布于15条染色体,其中A染色体组20个,D染色体组14个。有12个染色体区段分布有2个或2个以上的QTL,而且同一染色体区域同一亲本所具有的不同性状QTL的方向大多数与性状表型相关系数的正负一

关键词: 陆地棉, 种子, 物理性状, QTL

Abstract:

Cotton is a leading natural fiber crop in the world, and also provides important plant oil and protein. Cotton fiber is developed from a single cell of seed epidermis, so QTL mapping of seed traits is important to reveal the genetic characteristics of seed traits and to understand the genetic relationship among seed, yield and fiber quality traits. Six seed physical traits of upland cotton recombinant inbred line population identified in three environments presented continuous segregation, and the significant variances existed in the six physical traits were affected by environments. The linkage map constructed from the upland cotton recombinant inbred line population (T586 × Yumian1) F2:7 were used to map QTLs for six seed physical traits by MQM method, and thirty-four QTLs were detected, including nine QTLs for seed weight (qSW), five QTLs for fuzz weight (qFW), three QTLs for fuzz percentage (qFP), eight QTLs for kernel weight (qKW), six QTLs for seed hull weight (qHW), and three QTLs for seed kernel percentage (qKP), with explained phenotypic trait variance rangingfrom 4.6% to 80.1%. Out of thirty-four QTLs, nine QTLs were identified in two or three environments, and they included two large-effect QTLs controlling fuzz weight and fuzz percentage at N1 locus on chromosome 12, and other seven small-effect QTLs. A total of 34 QTLs were mapped on 15 chromosomes, and among them 20 QTLs distributed on A sub-genome and 14 QTLs distributed on D sub-genome. Twelve chromosome regions have two or more QTLs for seed physical traits in each region, and directions of most QTLs for different seed physical traits, which originated from the same parent in the same chromosome region, were consistent with the correlation coefficients of traits.

Key words: Upland cotton, Seed, Physical trait, QTLs

[1] Lusas E W, Jividen G M. Glandless cottonseed: A review of the first 25 years of processing and utilization research. J Am Oil Chem Soc, 1987, 64: 839-854

[2] Alford B B, Liepa G U, Vanbeber A D. Cottonseed protein: What does the future hold? Plant Foods Hum Nutr, 1996, 49: 1-11

[3] Chen Z J, Scheffler B E, Dennis E, Triplett B A, Zhang T Z, Guo W Z, Chen X Y, Stelly D M, Rabinowicz P D, Town C D, Arioli T, Brubaker C, Cantrell R G, Lacape J M, Ulloa M, Chee P, Gingle A R, Haigler C H, Percy R, Saha S, Wilkins T, Wright R J, Deynze A V, Zhu Y X, Yu S X, Abdurakhmonov I, Katageri I, Kumar PA, Rahman M, Zafar Y, Yu J Z, Kohel R J, Wendel J F, Paterson A H. Toward sequencing cotton (Gossypium) genomes. Plant Physiol, 2007, 145: 1303-1310

[4] Benedict C R. Physiology. In: Kohel J J, Lewis C F eds. Cotton. Madison, WI: American Society of Agronomy, 1984. pp 151-200

[5] Balls W L. Studies in Egyptian Cotton, in yearbook khedive. Cairo, Egypt: Agriculture Society for 1906. 1906. pp 29-89

[6] Tanksley S D, Hewitt J. Use of molecular markers in breeding for soluble solids content in tomato: A re-examination. Theor Appl Genet, 1988, 75: 811-823

[7] Reinisch A J, Dong J M, Brubaker C L, Stelly D M, Wendel J F, Paterson A H. A detailed RFLP map of cotton, Gossypium hirsutum × Gossypium barbadense: Chromosome organization and evolution in a disomic polyploid genome. Genetics, 1994, 138: 829-847

[8] Rong J K, Abbey C, Bowers J E, Brubaker C L, Chang C, Chee P W, Delmonte T A, Ding X L, Garza J J, Marler B S, Park C H, Pierce G J, Rainey K M, Rastogi V K, Schulze S R, Trolinder N L, Wendel J F, Wilkins T A, Williams-Coplin T D, Wing R A, Wright R J, Zhao X P, Zhu L H, Paterson A H. A 3347-locus genetic recombination map of sequence-tagged sites reveals features of genome organization, transmission and evolution of cotton (Gossypium). Genetics, 2004, 166: 389-417

[9] Guo W Z, Cai C 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

[10] Lacape J M, Jacobs J, Arioli T, Derijcker R, Forestier-Chiron N, Llewellyn D, Jean J, Thomas E, Viot C. A new interspecific, Gossypium hirsutum ×Gossypiumbarbadense, RIL population: Towards a unified consensus linkage map of tetraploid cotton. Theor Appl Genet, 2009, 119: 281-292

[11] Zhang Z S, Hu M C, Zhang J, Liu D J, Zhang K, Wang W, Wan Q. Construction of a comprehensive PCR-based marker linkage map and QTL mapping for fiber quality traits in (Gossypium hirsutum L.). Mol Breed, 2009, 24: 49-61

[12] Jiang C X, Wright R J, El-Zik K M Paterson A H. Polyploid formation created unique avenues for response to selection in Gossypium (Cotton). Proc Natl Acad Sci USA, 1998, 95: 4419-4424

[13] Shappley Z W, Jenkins J N, Zhu J, Jack C, McCarty J C. Quantitative trait loci associated with agronomic and fiber traits of upland cotton. Cotton Sci, 1998, 2: 153-163

[14] Ulloa M, Meredith R J. Genetic linkage map and QTL analysis of agronomic and fiber quality traits in an intraspecific population. J Cotton Sci, 2000, 4: 161-170

[15] Saranga Y, Menz M, Jiang C X, Wright R J, Yakir D, Paterson A H. Genetic mapping implicates osmotic potential as a major component of crop adaptation to arid conditions. Genome Res, 2002, 11: 1988-1995

[16] Paterson A H, Saranga Y, Menz M, Jiang C X, Wright R J. QTL analysis of genotype × environmental interactions affecting cotton fiber quality. Theor Appl Genet, 2003, 106: 384-396

[17] Zhang Z S, Xiao Y H, Luo M, Li X B, Luo X Y, Hou L, Li D M, Pei Y. Construction of a genetic linkage map and QTL analysis of fiber-related traits in upland cotton (Gossypium hirsutum L.). Euphytica, 2005, 144: 91-99

[18] Shen X L, Guo W Z, Lu Q X, Zhu X F, Yuan Y L, Zhang T Z. Genetic mapping of quantitative trait loci for fiber quality and yield trait by RIL approach in Upland cotton. Euphytica, 2007, 155: 371-380

[19] 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 the interspecific cross of Gossypium hirsutum × Gossypium barbadense. Euphytica, 2007, 153: 181-197

[20] Chen L(陈利), Zhang Z-S(张正圣), Hu M-C(胡美纯), Wang W(王威), Zhang J(张建), Liu D-J(刘大军), Zheng J(郑靓), Zheng F-M(郑风敏), Ma J(马靖). Genetic linkage map construction and QTL mapping for yield and fiber quality in upland cotton (Gossypium hirsutum L.). Acta Agron Sin (作物学报), 2008, 34(7): 1199-1205 (in Chinese with English abstract)

[21] Qin H D, Guo W Z, Zhang Y M, Zhang T Z. QTL mapping of yield and fiber traits based on a four-way cross population in Gossypium hirsutum L. Theor Appl Genet, 2008, 117: 883-894

[22] Song X L, Zhang T Z. Identification of quantitative trait loci controlling seed physical and nutrient traits in cotton. Seed Sci Res, 2007, 17: 243-251

[23] Wan Q, Zhang Z S, Hu M C, Chen L, Liu D J, Chen X, Wang W, Zheng J. T1 locus in cotton is the candidate gene affecting lint percentage, fiber quality and spiny bollworm (Earias spp.) resistance. Euphytica, 2007, 158: 241-247

[24] Zhang Z-S(张正圣), Zhang F-X(张凤鑫). Improvement of lint yield and fiber quality in upland cotton. Southwest China J Agric Sci (西南农业学报), 1998, 11(suppl): 230-234 (in Chinese with English abstract)

[25] Culp T W, Harrell D C. Breeding quality cotton at the Pee Dee Experiment Station, 1974. Florence, SC, USDA Publications, ARS-S-30

[26] Ndungo V, Demol J, Maréchal R. L’amélioration du cotonnier Gossypium hirsutum L. par hybridation interspécifique. Bull Rech Agron Gembloux, 1988, 23: 27-49

[27] Kohel R J, Lewis C F, Richmond T R. Linkage tests in upland cotton. Gossypium birsutum L. Crop Sci, 1965, 5: 582-585

[28] Endrizzi J E, Turcotte E L, Kohel R J. Qualitative genetics, cytology, and cytogenetics. In: Kohel R J, Lewis C F, eds. Cotton, Am Soc Agron, 1984. pp 81-109

[29] Tang Q-Y(唐启义), Feng M-G(冯明光). Data Processing System (DPS数据处理系统). Beijing: Science Press, 2005 (in Chinese)

[30] Van Ooijen J W. MapQTL 5.0, Software for the Mapping of Quantitative Trait Loci in Experimental Populations. Wageningen, the Netherlands: Plant Research International, 2004

[31] Voorrips R E. MapChart 2.2: Software for the Graphical Presentation of Linkage Maps and QTLs. Wageningen, the Netherlands: Plant Research International, 2006
[1] 彭佳泺, 李颖, 李丹丹, 杨军宁, 郭学峰, 张文姣, 俞晓雪, 周亚荣, 王振玉, 王彩香, 马雄风, 宿俊吉. 陆地棉I类LBD家族成员鉴定及GhLBD6调控开花期的功能和单倍型分析[J]. 作物学报, 2026, 52(6): 1682-1697.
[2] 郑玉珍, 齐飞艳, 孙子淇, 刘华, 秦利, 石磊, 王娟, 汪蒙蒙, 韩锁义, 徐静, 苗利娟, 黄冰艳, 董文召, 郑峥, 张新友. 花生籽仁总超长链脂肪酸和7种脂肪酸组分的QTL定位[J]. 作物学报, 2026, 52(6): 1646-1657.
[3] 宋松泉, 唐翠芳, 梁裕荣, 程红焱, 王伟青. sRNA的生物合成和作用机制及其对种子发育和休眠与萌发调控的研究进展[J]. 作物学报, 2026, 52(4): 959-981.
[4] 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.
[5] 何鹏旭, 姚立蓉, 陈远玲, 闫妍, 张宏, 汪军成, 李葆春, 杨轲, 司二静, 孟亚雄, 马小乐, 王化俊. 大麦干旱胁迫萌发生理及分子机理的差异性与相关性研究[J]. 作物学报, 2025, 51(9): 2412-2432.
[6] 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.
[7] 薛晓菲, 戴云静, 李熙林, 丁艳艳, 王翔, 雷长英, 韩焕勇, 贺道华. 陆地棉杜松烯合酶基因GhCDN10的特征及其在棉酚合成中功能分析[J]. 作物学报, 2025, 51(8): 2060-2076.
[8] 李宜谦, 徐守振, 刘萍, 马麒, 谢斌, 陈红. 基于40K SNP芯片的陆地棉产量构成因素全基因组关联分析及单铃重位点挖掘[J]. 作物学报, 2025, 51(8): 2128-2138.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 夏琦, 郭滢, 王坤美, 王思忆, 巨建业, 彭雅雯, 刘忠松, 夏石头. 甘蓝型油菜种子和种皮中水杨酸含量与原花色素积累的关系研究[J]. 作物学报, 2025, 51(5): 1189-1197.
[15] 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.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!