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Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (1): 53-60.doi: 10.3724/SP.J.1006.2010.00053

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

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 Online:2010-01-12 Published:2009-11-17
  • Contact: ZHANG Zheng-Sheng, E-mail: zhangzs@swu.edu.cn; Tel: 13883608797

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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
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