Theoretical and Applied Genetics

, Volume 127, Issue 8, pp 1843–1855 | Cite as

Fine mapping of a preharvest sprouting QTL interval on chromosome 2B in white wheat

  • Suthasinee Somyong
  • Goro Ishikawa
  • Jesse D. Munkvold
  • James Tanaka
  • David Benscher
  • Yong-Gu Cho
  • Mark E. Sorrells
Original Paper


Key message

Fine mapping by recombinant backcross populations revealed that a preharvest sprouting QTL on 2B contained two QTLs linked in coupling with different effects on the phenotype.


Wheat preharvest sprouting (PHS) occurs when grain germinates on the plant before harvest, resulting in reduced grain quality. Previous mapping of quantitative trait locus (QTL) revealed a major PHS QTL, QPhs.cnl-2B.1, located on chromosome 2B significant in 16 environments that explained from 5 to 31 % of the phenotypic variation. The objective of this project was to fine map the QPhs.cnl-2B.1 interval. Fine mapping was carried out in recombinant backcross populations (BC1F4 and BC1F5) that were developed by backcrossing selected doubled haploids to a recurrent parent and self-pollinating the BC1F4 and BC1F5 generations. In each generation, three markers in the QPhs.cnl-2B.1 interval were used to screen for recombinants. Fine mapping revealed that the QPhs.cnl-2B.1 interval contained two PHS QTLs linked in coupling. The distal PHS QTL, located between Wmc453c and Barc55, contributed 8 % of the phenotypic variation and also co-located with a major seed dormancy QTL determined by germination index. The proximal PHS QTL, between Wmc474 and CNL415-rCDPK, contributed 16 % of the variation. Several candidate genes including Mg-chelatase H subunit family protein, GTP-binding protein and calmodulin/Ca2+-dependent protein kinase were linked to the PHS QTL. Although many recombinant lines were identified, the lack of polymorphism for markers in the QTL interval prevented the localization of the recombination breakpoints and identification of the gene underlying the phenotype.


Quantitative Trait Locus Doubled Haploid Quantitative Trait Locus Region Germination Index Quantitative Trait Locus Interval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We thank Drs. Pawan Kulwal and Long-Xi Yu for providing helpful comments on this study. Funding for this research was provided by USDA–NIFA National Research Initiative CAP Grant No. 2005-05130 and by Hatch 149-402.

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Standards

The authors declare that the experiments described in this manuscript comply with the current laws of the United States.

Supplementary material

122_2014_2345_MOESM1_ESM.pdf (65 kb)
Supplementary material 1 (PDF 64 kb)
122_2014_2345_MOESM2_ESM.xlsx (27 kb)
Supplementary material 2 (XLSX 26 kb)
122_2014_2345_MOESM3_ESM.docx (28 kb)
Supplementary material 3 (DOCX 27 kb)


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Suthasinee Somyong
    • 1
    • 2
  • Goro Ishikawa
    • 1
    • 3
  • Jesse D. Munkvold
    • 1
    • 4
  • James Tanaka
    • 1
  • David Benscher
    • 1
  • Yong-Gu Cho
    • 1
    • 5
  • Mark E. Sorrells
    • 1
  1. 1.Department of Plant Breeding and GeneticsCornell UniversityIthacaUSA
  2. 2.National Center for Genetic Engineering and Biotechnology (BIOTEC)Klong LuangThailand
  3. 3.Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO)MoriokaJapan
  4. 4.Dow AgroSciences LLCIndianapolisUSA
  5. 5.Department of Crop ScienceChungbuk National UniversityCheongjuKorea

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