Euphytica

, Volume 163, Issue 1, pp 113–122

QTLs for node of first fruiting branch in a cross of an upland cotton, Gossypium hirsutum L., cultivar with primitive accession Texas 701

  • Yufang Guo
  • Jack C. McCarty
  • Johnie N. Jenkins
  • Sukumar Saha
Article

Abstract

Primitive cottons (Gossypium spp.) represent resources for genetic improvement. Most primitive accessions are photoperiod sensitive; they do not flower under the long days of the U.S. cotton belt. Molecular markers were used to locate quantitative trait loci (QTLs) for node of first fruiting branch (NFB), a trait closely related to flowering time in cotton. An F2 population consisted of 251 plants from the cross of a day neutral cultivar Deltapine 61, and a photoperiod sensitive accession Texas 701, were used in this study. Segregation in the population revealed the complex characteristics of NFB. Interval mapping and multiple QTL mapping were used to determine QTLs contributing to NFB. Three significant QTLs were mapped to chromosome 16, 21, and 25; two suggestive QTLs were mapped to chromosome 15 and 16. Four markers associated with these QTLs accounted for 33% of the variation in NFB by single and multiple-marker regression analyses. Two pairs of epistasis interaction between markers were detected. Our results suggested that at least three chromosomes contain factors associated with flowering time for this population with epistasis interactions between chromosomes. This research represent the first flowering time QTL mapping in cotton. Makers associated with flowering time may have the potential to facilitate day neutral conversion of accessions.

Keywords

Cotton Flowering time Primitive accession QTL 

Abbreviations

DPL61

Deltapine 61

LOD

Logarithm of odds

MQM

Multiple QTL mapping

NFB

Node of first fruiting branch

T701

Texas accession 701

References

  1. Barrett J (2002) Association studies. In: Camp NJ, Cox A (eds) Quantitative trait loci-methods and protocols. Humana Press, Totowa, NJ, pp 3–12CrossRefGoogle Scholar
  2. Bowman DT (2000) Attributes of public and private cotton breeding programs. J Cotton Sci 4:130–136Google Scholar
  3. Börner A, Buck-sorlin GG, Hayes PM, Malyshev S, Korzun V (2002) Molecular mapping of major genes and quantitative trait loci determining flowering time in response to photoperiod in barley. Plant Breed 121:129–132CrossRefGoogle Scholar
  4. Darvasi A, Soller M (1992) Selective genotyping for determination of linkage between a marker locus and a quantitative trait locus. Theor Appl Genet 85:353–359CrossRefGoogle Scholar
  5. Guo W, Cai C, Wang C, Han Z, Song X, Wang K, Niu X, Wang C, Lu K, Shi B, Zhang T (2007) A microsatellite-based, gene rich linkage map reveals genome structure, function, and evolution in Gossypium. Genetics 176:527–541PubMedCrossRefGoogle Scholar
  6. Gutierrez OA, Basu S, Saha S, Jenkins JN, Shoemaker DB, Cheatham CL, McCarty JC (2002) Genetic distance among selected cotton genotypes and its relationship with F2 performance. Crop Sci 42:1841–1847CrossRefGoogle Scholar
  7. Haley AB, Wilhelm S (1975) Comparative verticillium wilt reaction of wild races of Gossypium hirsutum and hybrids with upland cultivars. In: Brown JM (ed) Proceedings of the beltwide cotton producers conference, New Orleans, LA. 6–8 Jan 1975Google Scholar
  8. Han Z, Wang C, Song X, Guo W, Guo J, Li C, Chen X, Zhang T (2006) Characteristics, development and mapping of Gossypium hirsutum derived EST-SSRs in allotetraploid cotton. Theor Appl Genet 112:430–439PubMedCrossRefGoogle Scholar
  9. He DH, Lin ZX, Zhang XL, Nie YC, Guo XP, Feng CD, Stewart JM (2005) Mapping QTLs of traits contributing to yield and analysis of genetic effects in tetraploid cotton. Euphytica 144:141–149CrossRefGoogle Scholar
  10. He DH, Lin ZX, Zhang XL, Nie YC, Guo XP, Zhang YX, Li W (2007) 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 153:181–197CrossRefGoogle Scholar
  11. Holley RN, Goodman MM (1989) New sources of resistance to southern corn leaf blight from tropical hybrid maize derivatives. Plant Dis 73:562–564CrossRefGoogle Scholar
  12. Hutchinson JB (1959) The application of genetics to cotton improvement. Cambridge University Press, CambridgeGoogle Scholar
  13. Jenkins JN (1986) Host plant resistance: Advances in cotton. In: Brown JM (ed) Proceedings of the beltwide cotton producers conference, Las Vegas, NV. 4–9 Jan 1986Google Scholar
  14. Jiang C, Wright R, Woo S, Delmonte T, Paterson AH (2000) QTL analysis of leaf morphology in tetraploid Gossypium (cotton). Theor Appl Genet 100:409–418CrossRefGoogle Scholar
  15. Koester RP, Sisco PH, Stuber CW (1993) Identification of quantitative trail loci controlling days to flowering and plant height in two near isogenic loci of maize. Crop Sci 33:1209–1216CrossRefGoogle Scholar
  16. Kohel RJ (1978) Survey of Gossypium hirsutum L. germplasm collection of seed-oil percentage and seed characteristics. USDA Report ARS-S-187 Google Scholar
  17. Kohel RJ, Richmond TR, Lewis CF (1974) Genetics of flowering response in cotton. VI. Flowering behavior of Gossypium hirsutum L. and G. barbadense L. hybrids. Crop Sci 14:696–699CrossRefGoogle Scholar
  18. Komeda Y (2004) Genetic regulation of time to flower in Arabidopsis thaliana. Annu Rev Plant Biol 55:521–535PubMedCrossRefGoogle Scholar
  19. Kosambi DD (1944) The estimation of map distances from recombination values. Ann Eugen 12:172–175Google Scholar
  20. Lacape JM, Nguyen TB, Courtois B, Belot JL, Giband M, Gourlot JP, Gawryziak G, Roques S, Hau B (2005) QTL analysis of cotton fiber quality using multiple Gossypium hirsutum × Gossypium barbadense backcross generations. Crop Sci 45:123–140Google Scholar
  21. Lander ES, Kruglyak L (1995) Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results. Nature Genet 11:241–247PubMedCrossRefGoogle Scholar
  22. Lewis CF, Richmond TR (1957) The genetics of flowering response in cotton. I. Fruiting behavior of Gossypium hirsutum var. marie-galante in a cross with a variety of cultivated American Upland cotton. Genetics 42:499–509PubMedGoogle Scholar
  23. Lewis CF, Richmond TR (1960) The genetics of flowering response in cotton. II. Inheritance of flowering response in a Gossypium barbadense cross. Genetics 45:79–85PubMedGoogle Scholar
  24. Lin YR, Schertz KF, Paterson AH (1995) Comparative analysis of QTLs affecting plant height and maturity across the Poaceae, in reference to an interspecific sorghum population. Genetics 141:391–411PubMedGoogle Scholar
  25. Liu S, Cantrell RG, McCarty JC, Stewart JM (2000) Simple sequence repeat-based assessment of genetic diversity in cotton race stock accessions. Crop Sci 40:1459–1469CrossRefGoogle Scholar
  26. Liu WX, Kong FL, Guo ZL, Zhang QY, Peng HR, Fu XQ, Yang FX (2003) An analysis about genetic basis of cotton cultivars in China since 1949 with molecular markers. Acta Genet Sin 30:560–570 (in Chinese, English abstract)PubMedGoogle Scholar
  27. Low A, Hesketh J, Muramoto H (1969) Some environmental effects on the varietal node number of the first fruiting branch. Cotton Growing Rev 46:181–188Google Scholar
  28. Mauney JR (1986) Vegetative growth and development of fruiting sites. In: Mauney JR, Stewart JM (eds) Cotton physiology. The Cotton Foundation, Memphis, TN, pp 11–28Google Scholar
  29. McCarty JC, Jenkins JN (1993) Registration of 79 day-neutral primitive cotton germplasm lines. Crop Sci 33:351CrossRefGoogle Scholar
  30. McCarty JC, Jenkins JN (2004) Primitive cotton germplasm: yield and fiber traits for 21 day-neutral acessions. Mississippi Agric For Exp Stn Res Rep 23(14):1–6Google Scholar
  31. McCarty JC, Jenkins JN, Parrott WL, Creech RG (1979) The conversion of photoperiodic primitive race stocks of cotton to day-neutral stocks. Mississippi Agric For Exp Stn Res Rep 4(19):1–4Google Scholar
  32. McCarty JC, Jenkins JN, Tang B (1995) Primitive cotton germplasm: variability for yield and fiber traits. Miss Agric and For Exp Stn Tech Bull 202:8 ppGoogle Scholar
  33. McCarty JC, Jenkins JN, Wu J (2004a) Primitive accession derived germplasm by cultivar crosses as sources for cotton improvement: I. phenotypic values and variance components. Crop Sci 44:1226–1230CrossRefGoogle Scholar
  34. McCarty JC, Jenkins JN, Wu J (2004b) Primitive accession derived germplasm by cultivar crosses as sources for cotton improvement: II. genetic effects and genotypic values. Crop Sci 44:1231–1235CrossRefGoogle Scholar
  35. McCarty JC, Jenkins JN, Zhu J (1998) Introgression of day-neural genes in primitive cotton accessions: I. Genetic variances and correlations. Crop Sci 38:1425–1428CrossRefGoogle Scholar
  36. McCarty JC, Wu J, Jenkins JN (2006) Genetic diversity for agronomic and fiber traits in day-neutral accessions derived from primitive cotton germplasm. Euphytica 148:283–293CrossRefGoogle Scholar
  37. McCouch SR, Cho YG, Yano PE, Blinstrub M, Morishima H, Kinoshita T (1997) Report on QTL nomenclature. Rice Genet Newslett 14:11–13Google Scholar
  38. Mei M, Syed NH, Gao W, Thaxton PM, Smith CW, Stelly DM, Chen ZJ (2004) Genetic mapping and QTL analysis of fiber-related traits in cotton (Gossypium). Theor Appl Genet 108:280–291PubMedCrossRefGoogle Scholar
  39. Meredith WR (1991) Contributions of introductions to cotton improvement. In: Shands HL, Weisner LE (eds) Use of plant introductions in cultivar development. Part I. Crop Science Society of America, Madison, WI, p 127–146Google Scholar
  40. Meredith WR (2000) Cotton yield progress—why has it reached a plateau. Better Crops 84:6–9Google Scholar
  41. Multani DS, Lyon BR (1995) Genetic fingerprinting of Australian cotton cultivars with RAPD markers. Genome 38:1005–1008PubMedCrossRefGoogle Scholar
  42. Nguyen TB, Giband M, Brottier P, Risterucci AM, Lacape JM (2004) Wide coverage of the tetraploid cotton genome using newly developed microsatellite markers. Theor Appl Genet 109:167–175PubMedCrossRefGoogle Scholar
  43. Paterson AH, Saranga Y, Menz M, Jiang CX (2003) QTL analysis of genotype × environment interactions affecting cotton fiber quality. Theor Appl Genet 106:384–396PubMedGoogle Scholar
  44. Percival AE (1987) The national collection of Gossypium germplasm. Southern Cooperative Serials Bulletin 321:362 ppGoogle Scholar
  45. Qureshi SN, Saha S, Kantety RV, Jenkins JN (2004) EST-SSR: a new class of genetic markers in cotton. J Cotton Sci 8:112–123Google Scholar
  46. Rahman M, Hussain D, Zafar Y (2002) Estimation of genetic divergence among elite cotton cultivars-genotypes by DNA fingerprinting technology. Crop Sci 42:2137–2144CrossRefGoogle Scholar
  47. Rana MK, Bhat KV (2005) RAPD markers for genetic diversity study among Indian cotton cultivars. Curr Sci 88:1956–1961Google Scholar
  48. Ray LL, Richmond TR (1966) Morphological measures of earliness of crop maturity in cotton. Crop Sci 6:527–531CrossRefGoogle Scholar
  49. Reddy OUK, Pepper AE, Ibrokhim A, Saha S, Jenkins JN, Brooks T, Bolek Y, El-Zik KM (2001) New dinucleotide and trinucleotide microsatellite marker resources for cotton genome research. J Cotton Sci 5:103–113Google Scholar
  50. Rong J, Abbey C, Bowers JE, Brubaker CL, Chang C, Chee PW, Delmonte TA, Ding X, Garza JJ, Marler BS, 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 (2004) A 3347-locus genetic recombination map of sequence-tagged sites reveals features of genome organization, transmission and evolution of cotton (Gossypium). Genetics 166:389–417PubMedCrossRefGoogle Scholar
  51. SAS Institute Inc. (1999) SAS software version 9.0. SAS Institute Inc., Cary, NCGoogle Scholar
  52. Shen X, Guo W, Lu Q, Zhu X, Yuan Y, Zhang T (2007) Genetic mapping of quantitative trait loci for fiber quality and yield trait by RIL approach in Upland cotton. Euphytica 155:371–380CrossRefGoogle Scholar
  53. Shen X, Guo W, Zhu X, Yuan Y, Yu JZ, Kohel RJ, Zhang T (2005) Molecular mapping of QTLs for fiber qualities in three diverse lines in Upland cotton using SSR markers. Mol Breed 15:169–181CrossRefGoogle Scholar
  54. Shen X, Zhang T, Guo W, Zhu X, Zhang X (2006) Mapping fiber and yield QTLs with main, epistatic, and QTL × enviroment interaction effects in recombinant inbred lines of upland cotton. Crop Sci 46:61–66CrossRefGoogle Scholar
  55. Van Esbroeck GA, Bowman DT, Calhoun DS, May OL (1998) Changes in the genetic diversity of cotton in the USA from 1970 to 1995. Crop Sci 38:33–37CrossRefGoogle Scholar
  56. Van Esbroeck GA, Bowman DT, May OL, Calhoun DS (1999) Genetic similarity indices for ancestral cotton cultivars and their impact on genetic diversity estimates of modern cultivars. Crop Sci 39:323–328Google Scholar
  57. Van Ooijen J, Voorrips RE (2001) JionMap® 3.0, Software for the calculation of genetic linkage maps. Plant Research International, Wageningen, the NetherlandsGoogle Scholar
  58. Van Ooijen JW (1999) LOD significance thresholds for QTL analysis in experimental populations of diploid species. Heredity 83:613–624PubMedCrossRefGoogle Scholar
  59. Van Ooijen JW (2004) MapQTL® 5, Software for the mapping of quantitative trait loci in experimental populations. Kyazma B.V., Wageningen, the NetherlandsGoogle Scholar
  60. Voorrips RE (2002) MapChart: Software for the graphical presentation of linkage maps and QTLs. J Hered 93:77–78PubMedCrossRefGoogle Scholar
  61. Waddle BM, Lewis CF, Richmond TR (1961) The genetics of flowering response in cotton. III. Fruiting behavior of Gossypium hirsutum race latifolium in a cross with a variety of cultivated American Upland cotton. Genetics 46:427–437PubMedGoogle Scholar
  62. Wang B, Guo W, Zhu X, Wu Y, Huang N, Zhang T (2006a) QTL mapping of fiber quality in an elite hybrid derived-RIL population of upland cotton. Euphytica 152:367–378CrossRefGoogle Scholar
  63. Wang K, Song X, Han Z, Guo W, Yu J, Sun J, Pan J, Kohel R, Zhang T (2006b) Complete assignment of the chromosomes of Gossypium hirsutum L. by translocation and fluorescence in situ hybridization mapping. Theor Appl Genet 113:73–80PubMedCrossRefGoogle Scholar
  64. Yano M, Harushima Y, Nagamura Y, Kurata N, Minobe Y, Sasaki T (1997) Identification of quantitative trait loci controlling heading date in rice using a high-density linkage map. Theor Appl Genet 99:1025–1032CrossRefGoogle Scholar
  65. Zhong M, McCarty JC, Jenkins JN, Saha S (2002) Assessment of day-neutral backcross populations of cotton using AFLP markers. J Cotton Sci 6:97–103Google Scholar

Copyright information

© GovernmentEmployee: U.S. Department of Agriculture- Agriculture Research Service 2007

Authors and Affiliations

  • Yufang Guo
    • 1
  • Jack C. McCarty
    • 2
  • Johnie N. Jenkins
    • 2
  • Sukumar Saha
    • 2
  1. 1.Department of Plant and Soil SciencesMississippi State UniversityMississippi StateUSA
  2. 2.USDA-ARSCrop Science Research LaboratoryMississippi StateUSA

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