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Molecular Breeding

, Volume 34, Issue 3, pp 883–892 | Cite as

QTL mapping for fiber yield-related traits by constructing the first genetic linkage map in ramie (Boehmeria nivea L. Gaud)

  • Touming LiuEmail author
  • Shouwei Tang
  • Siyuan Zhu
  • Qingming Tang
Article

Abstract

Ramie fiber extracted from stem bast is one of the most important natural fibers. The fiber yield of ramie is a valuable trait and is decided by several components, including stem number per plant (SN), the fiber yield per stem (FYPS), stem length (SL), stem diameter (SD), and bark thickness (BT). All of these fiber yield-related traits are inherited in a quantitative manner. The genetic basis for these traits is still uncharacterized, which has hindered the improvement of yield traits through selective ramie breeding. In this study, an F2 population derived from two ramie varieties, Zhongzhu 1 and Qingyezhuma, with striking differences in fiber yield-related traits, was used for cutting propagation and to develop an F2 agamous line (FAL) population. A genetic linkage map with 132 DNA loci spanning 2,265.1 cM was first constructed. The analysis of quantitative trait locus (QTL) for fiber yield-related traits was performed in ramie for the first time. Finally, a total of 6, 9, 5, 7, and 6 QTLs for FYPS, SL, SN, SD, and BT, respectively, were identified in the FAL population in two environments. Among these 33 QTLs, 9 QTLs were detected in both environments and 24 QTLs exhibited overdominance. The overdominance of these QTLs possibly contributed to the heterosis of these yield-related traits in ramie. Moreover, there were 7 QTL clusters identified. The identification of the QTLs for fiber yield-related traits will be helpful for improving the fiber yield in ramie breeding programs.

Keywords

Ramie Genetic linkage map Quantitative trait locus Overdominance F2 agamous line population 

Notes

Acknowledgments

This work was supported by grants from the National Natural Science Foundation of China (31101189).

Supplementary material

11032_2014_82_MOESM1_ESM.doc (59 kb)
Supplementary material 1 (DOC 59 kb)

References

  1. Chen M, Presting G, Barbazuk W, Goicoechea J, Blackmon B, Fang G, Kim H, Frisch D, Yu Y, Sun S et al (2002) An Integrated Physical and Genetic Map of the Rice Genome. Plant Cell 14:537–545PubMedCrossRefPubMedCentralGoogle Scholar
  2. Chen J, Luan M, Song S, Zou Z, Wang X, Xu Y, Sun Z (2011) Isolation and characterization of EST-SSRs in the Ramie. Afr J Microbiol Res 5:3504–3508Google Scholar
  3. Fan C, Xing Y, Mao H, Lu T, Han B, Xu C, Li X, Zhang Q (2006) GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein. Theor Appl Genet 112:1164–1171PubMedCrossRefGoogle Scholar
  4. Frary A, Nesbitt T, FraryA Grandillo S, Knaap E, Cong B, Liu J, Meller J, Elber R, Alpert K et al (2000) fw2.2: A quantitative trait locus key to the evolution of tomato fruit size. Science 289:85–88PubMedCrossRefGoogle Scholar
  5. Grattapaglia D, Sederoff R (1994) Genetic Linkage maps of Eucalyptus grandis and Eucalyptus urophylla using a pseudo-testcross: mapping strategy and RAPD markers. Genetics 137:1121–1137PubMedPubMedCentralGoogle Scholar
  6. Groos C, Robert N, Bervas E, Charmet G (2003) Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat. Theor Appl Genet 106:1032–1040PubMedGoogle Scholar
  7. Guo Q, Liu F (1989) A study on variation and segregation of self-bred progeny of ramie. J Hunan Agric Coll 15(S1):54–59Google Scholar
  8. Hua J, XingY WuW, Xu C, Sun X, Yu S, Zhang Q (2003) Single-locus heterotic effects and dominance by dominance interactions can adequately explain the genetic basis of heterosis in an elite rice hybrid. Proc Natl Acad Sci USA 100:2574–2579PubMedCrossRefPubMedCentralGoogle Scholar
  9. Jones DF (1917) Dominance of linked factors as a means of accounting for heterosis. Genetics 2:466–479PubMedPubMedCentralGoogle Scholar
  10. Kusterer B, Muminovic J, Utz H, Piepho H, Barth S, Heckenberger M, Meyer R, Altmann T, Melchinger A (2007) Analysis of a triple testcross design with recombinant inbred lines reveals a significant role of epistasis in heterosis for biomass-related traits in Arabidopsis. Genetics 175:2009–2017PubMedCrossRefPubMedCentralGoogle Scholar
  11. Li Z, Luo L, Mei H, Wang D, Shu Q, Tabien R, Zhong D, Ying C, Stansel J, Khush G et al (2001) Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. I. Biomass and grain yield. Genetics 158:1737–1753PubMedPubMedCentralGoogle Scholar
  12. Li L, Lu K, Chen Z, Mu T, Hu Z, Li X (2008) Dominance, overdominance and epistasis condition the heterosis in two heterotic rice hybrids. Genetics 180:1725–1742PubMedCrossRefPubMedCentralGoogle Scholar
  13. Lincoln SE, Daly MJ, Lander ES (1993) Mapping genes controlling quantitative traits with MAPMAKER/QTL1.1: a tutorial and reference manual, 2nd edn. Whitehead Institute Technical Report, CambridgeGoogle Scholar
  14. Liu T, Mao D, Zhang S, Xu C, Xing Y (2009) Fine mapping SPP1, a QTL controlling the number of spikelets per panicle, to a BAC clone in rice (Oryza sativa). Theor Appl Genet 118:1509–1517PubMedCrossRefGoogle Scholar
  15. Liu T, Zhang Y, Xue W, Xu C, Li X, Xing Y (2010) Comparison of quantitative trait loci for 1,000-grain weight and spikelets per panicle across three connected rice populations. Euphytica 175:383–394CrossRefGoogle Scholar
  16. Liu T, Li L, Zhang Y, Xu C, Li X, Xing Y (2011) Comparison of quantitative trait loci for rice yield, panicle length and spikelet density across three connected populations. J Genet 90:377–382PubMedCrossRefGoogle Scholar
  17. Liu T, Liu H, Zhang H, Xing Y (2013a) Validation and characterization of Ghd7.1, a major QTL with pleiotropic effects on spikelets per panicle, plant height, and heading date in rice (Oryza sativa L.). J Integr Plant Biol 55:917–927PubMedGoogle Scholar
  18. Liu T, Zhu S, Fu L, Tang Q, Yu Y, Chen P, Luan M, Wang C, Tang S (2013b) Development and characterization of 1827 expressed sequence tag-derived simple sequence repeat markers in ramie (Boehmeria nivea L. Gaud). PLoS ONE 8:e60346PubMedCrossRefPubMedCentralGoogle Scholar
  19. Liu T, Zhu S, Tang Q, Chen P, Yu Y, Tang S (2013c) De novo assembly and characterization of transcriptome using Illumina paired-end sequencing and identification of CesA gene in ramie (Boehmeria nivea L. Gaud). BMC Genom 14:125CrossRefGoogle Scholar
  20. Liu T, Zhu S, Tang Q, Yu Y, Tang S (2013d) Identification of drought stress-responsive transcription factors in ramie (Boehmeria nivea L. Gaud). BMC Plant Biol 13:130PubMedCrossRefPubMedCentralGoogle Scholar
  21. Luo L, Li Z, Mei H, Shu Q, Tabien R, Zhong D, Ying C, Stansel J, Khush G, Paterson A (2001) Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. II. Grain yield components. Genetics 158:1755–1771PubMedPubMedCentralGoogle Scholar
  22. Messmer R, Fracheboud Y, Bänziger M, Vargas M, Stamp P, Ribaut J (2009) Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theor Appl Genet 119:913–930PubMedCrossRefGoogle Scholar
  23. Ni J, Pujar A, Youens-Clark K, Yap I, Jaiswal P, Tecle I, Tung C, Ren L, Spooner W, Wei X, et al (2009) Gramene QTL database: development, content and applications. Database 2009:bap005Google Scholar
  24. Paterson A, Lander E, Hewitt J, Peterson S, Lincoln S, Tanksley S (1988) Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature 335:721–726PubMedCrossRefGoogle Scholar
  25. Paterson A, Saranga Y, Menz M, Jiang C, Wright R (2003) QTL analysis of genotype × environment interactions affecting cotton fiber quality. Theor Appl Genet 106:384–396PubMedGoogle Scholar
  26. Salvi S, Tuberosa R, Chiapparino E, Maccaferri M, Veillet S, Beuningen L, Isaac P, Edwards K, Phillips R (2002) Toward positional cloning of Vgt1, a QTL controlling the transition from the vegetative to the reproductive phase in maize. Plant Mol Biol 48:601–613PubMedCrossRefGoogle Scholar
  27. Schnell FW, Cockerham CC (1992) Multiplicative vs. arbitrary gene action in heterosis. Genetics 131:461–469PubMedPubMedCentralGoogle Scholar
  28. Semel Y, Nissenbaum J, Menda N, Zinder M, Krieger U, Issman N, Pleban T, Lippman Z, Gur A, Zamir D (2006) Overdominant quantitative trait loci for yield and fitness in tomato. Proc Natl Acad Sci USA 103:12981–12986PubMedCrossRefPubMedCentralGoogle Scholar
  29. Shull GH (1908) The composition of a field of maize. Am Breeders Assoc Rep 4:296–301Google Scholar
  30. Stuber CW, Lincoln SE, Wolff DW, Helentjaris T, Lander ES (1992) Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics 132:823–839PubMedPubMedCentralGoogle Scholar
  31. Tang J, Yan J, Ma X, Teng W, Wu W, Dai J, Dhillon B, Melchinger A, Li J (2010) Dissection of the genetic basis of heterosis in an elite maize hybrid by QTL mapping in an immortalized F2 population. Theor Appl Genet 120:333–340PubMedCrossRefGoogle Scholar
  32. Wang S, Basten C, Zeng Z (2012) Windows QTL Cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh, NC. (http://statgen.ncsu.edu/qtlcart/WQTLCart.htm)
  33. Welter L, Gokturk-Baydar N, Akkurt M, Maul E, Eibach R, Topfer R, Zyprian E (2007) Genetic mapping and localization of quantitative trait loci affecting fungal disease resistance and leaf morphology in grapevine (Vitis vinifera L). Mol Breed 20:359–374CrossRefGoogle Scholar
  34. Wu KS, Tanksley SD (1993) Abundance, polymorphism and genetic mapping of microsatellites in rice. Mol Gen Genet 241:225–235PubMedCrossRefGoogle Scholar
  35. Xiao J, Li J, Yuan L, Tanksley SD (1995) Dominance is the major genetic basis of heterosis in rice as revealed by QTL analysis using molecular markers. Genetics 140:745–754PubMedPubMedCentralGoogle Scholar
  36. Xiong H, Jiang J, Yu C, Guo Y (1998) Relation between yield-related traits and yield in ramie. ACTA Agron Sinica 24:155–160Google Scholar
  37. Xue W, Xing Y, Weng X, Zhao Y, Tang W, Wang L, Zhou H, Yu S, Xu C, Li X et al (2008) Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nat Genet 40:761–767PubMedCrossRefGoogle Scholar
  38. Yan W, Liu H, Zhou X, Li Q, Zhang J, Lu L, Liu T, Liu H, Zhang C, Zhang Z et al (2013) Natural variation in Ghd7.1 plays an important role in grain yield and adaptation in rice. Cell Res 23:969–971PubMedCrossRefPubMedCentralGoogle Scholar
  39. Yu S, Li J, Xu C, Tan Y, Gao Y, Li X, Zhang Q (1997) Importance of epistasis as the genetic basis of heterosis in an elite rice hybrid. Proc Natl Acad Sci USA 94:9226–9231PubMedCrossRefPubMedCentralGoogle Scholar
  40. Zhou G, Chen Y, Yao W, Zhang C, Xie W, Hua J, Xing Y, Xiao J, Zhang Q (2012) Genetic composition of yield heterosis in an elite rice hybrid. Proc Natl Acad Sci USA 109:15847–15852PubMedCrossRefPubMedCentralGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Touming Liu
    • 1
    Email author
  • Shouwei Tang
    • 1
  • Siyuan Zhu
    • 1
  • Qingming Tang
    • 1
  1. 1.Key Laboratory of Bast Fiber Biology and Processing, Ministry of Agriculture, Institute of Bast Fiber CropsChinese Academy of Agricultural SciencesChangshaChina

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