Theoretical and Applied Genetics

, Volume 126, Issue 11, pp 2683–2697 | Cite as

Large deletions in the CBF gene cluster at the Fr-B2 locus are associated with reduced frost tolerance in wheat

  • Stephen Pearce
  • Jie Zhu
  • Ákos Boldizsár
  • Attila Vágújfalvi
  • Adrienne Burke
  • Kimberley Garland-Campbell
  • Gábor Galiba
  • Jorge DubcovskyEmail author
Original Paper


Wheat plants which are exposed to periods of low temperatures (cold acclimation) exhibit increased survival rates when they are subsequently exposed to freezing temperatures. This process is associated with large-scale changes in the transcriptome which are modulated by a set of tandemly duplicated C-repeat Binding Factor (CBF) transcription factors located at the Frost Resistance-2 (Fr-2) locus. While Arabidopsis has three tandemly duplicated CBF genes, the CBF family in wheat has undergone an expansion and at least 15 CBF genes have been identified, 11 of which are present at the Fr-2 loci on homeologous group 5 chromosomes. We report here the discovery of three large deletions which eliminate 6, 9, and all 11 CBF genes from the Fr-B2 locus in tetraploid and hexaploid wheat. In wild emmer wheat, the Fr-B2 deletions were found only among the accessions from the southern sub-populations. Among cultivated wheats, the Fr-B2 deletions were more common among varieties with a spring growth habit than among those with a winter growth habit. Replicated freezing tolerance experiments showed that both the deletion of nine CBF genes in tetraploid wheat and the complete Fr-B2 deletion in hexaploid wheat were associated with significant reductions in survival after exposure to freezing temperatures. Our results suggest that selection for the wild-type Fr-B2 allele may be beneficial for breeders selecting for varieties with improved frost tolerance.


Cold Acclimation Wheat Variety Hexaploid Wheat Freezing Tolerance Tetraploid Wheat 
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.



This project was supported by the National Research Initiative grants number 2008-35100-04562 and 2011-68002-30029 from the USDA National Institute of Food and Agriculture and by the Howard Hughes Medical Institute and the Gordon and Betty Moore Foundation. Dr. Gábor Galiba’s group acknowledges support from the Hungarian Research Fund ‘OTKA’ No K75528 and CNK80781 and from the National Development Agency (TÁMOP-4.2.2/B-10/1-2010-0025, University of Pannonia).

Supplementary material

122_2013_2165_MOESM1_ESM.docx (35 kb)
Supplementary material 1 (DOCX 35 kb)


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Stephen Pearce
    • 1
  • Jie Zhu
    • 4
  • Ákos Boldizsár
    • 5
  • Attila Vágújfalvi
    • 5
  • Adrienne Burke
    • 4
  • Kimberley Garland-Campbell
    • 4
  • Gábor Galiba
    • 5
    • 6
  • Jorge Dubcovsky
    • 1
    • 2
    • 3
    Email author
  1. 1.Department of Plant SciencesUniversity of CaliforniaDavisUSA
  2. 2.Howard Hughes Medical InstituteChevy ChaseUSA
  3. 3.Gordon and Betty Moore FoundationPalo AltoUSA
  4. 4.USDA-ARS Wheat Genetics, Quality, Physiology and Disease Research UnitWashington State UniversityPullmanUSA
  5. 5.Agricultural Institute, Centre for Agricultural ResearchHungarian Academy of SciencesMartonvásárHungary
  6. 6.Doctoral School of Molecular and Nanotechnologies, Faculty of Information TechnologyUniversity of PannoniaVeszprémHungary

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