Skip to main content
Log in

Mapping a dominant negative mutation for triforine sensitivity in lettuce and its use as a selectable marker for detecting hybrids

  • Published:
Euphytica Aims and scope Submit manuscript

Abstract

Some lettuce cultivars are highly sensitive to triforine, an inhibitor of sterol biosynthesis found in some commercial systemic fungicides. First symptoms of a sensitive reaction are usually observed within 24–48 h after treatment and include severe wilting, necrosis and rapid plant death. We mapped a single dominant gene (Tr) that confers sensitivity of lettuce to triforine to linkage group 1 of the integrated genetic map of lettuce. The occurrence of sensitivity is not uniform across horticultural types of lettuce. While over 80% of green-romaine lettuce cultivars tested were sensitive, most cultivars of all other lettuce types were insensitive to triforine. All accessions of wild Lactuca spp. were insensitive to triforine. Allelism tests using F1 and F2 progeny revealed that sensitive cultivars of all horticultural types likely carry the same Tr gene. The dominant allele for sensitivity found in cultivated lettuce probably had a monophyletic origin. The reaction to triforine can be used as a marker for detecting hybrids originating from a cross between phenotypically similar parents with different responses to triforine treatment. It also provides an indication of genotypes for which applications of triforine-containing fungicides are inappropriate.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

Abbreviations

cM:

CentiMorgans

RILs:

Recombinant-inbred lines

Tr gene:

A dominant gene that confers sensitivity to triforine in lettuce

References

  • Fungicide Resistance Action Committee (2010) FRAC code list: fungicides sorted by mode of action (including FRAC code numbering), p 10. http://www.frac.info/frac/publication/anhang/FRAC_Code_List_2010.pdf

  • Globerson D, Eliasi R (1979) The response to saprol (systemic fungicide) in lettuce species and cultivars and its inheritance. Euphytica 28:115–118

    Article  Google Scholar 

  • Karaoglanidis GS, Thanassoulopoulos CC (2003) Cross-resistance patterns among sterol biosynthesis inhibiting fungicides (SBIs) in Cercospora beticola. Eur J Plant Pathol 109:929–934

    Article  CAS  Google Scholar 

  • Maxon Smith JW (1979) Triforine sensitivity in lettuce: a potentially useful genetic marker. Euphytica 28:351–359

    Article  Google Scholar 

  • Mayer DF, Lunden JD (1986) Toxicity of fungicides and an acaricide to honey bees (Hymenoptera: Apidae) and their effects on bee foraging behavior and pollen viability on blooming apples and pears. Environ Entomol 15:1047–1049

    CAS  Google Scholar 

  • Rouchaud JP, Decallonne JR, Meyer JA (1977) Metabolism of the fungicide triforine in barley plants. Pestic Sci 8:65–70

    Article  CAS  Google Scholar 

  • Ryder EJ, Johnson AS (1974) Mist depollination of lettuce flowers. HortScience 9:584

    Google Scholar 

  • Sherald JL, Sisler HD (1975) Antifungal mode of action of triforine. Pestic Biochem Phys 5:477–488

    Article  Google Scholar 

  • Sherald JL, Ragsdale NN, Sisler HD (1973) Similarities between the systemic fungicides triforine and triarimol. Pestic Sci 4:719–727

    Article  CAS  Google Scholar 

  • Simko I (2009) Development of EST-SSR markers for the study of population structure in lettuce (Lactuca sativa). J Hered 100:256–262

    Article  PubMed  CAS  Google Scholar 

  • Simko I, Hu J (2008) Population structure in cultivated lettuce and its impact on association mapping. J Am Soc Hort Sci 133:61–68

    Google Scholar 

  • Simko I, Pechenick DA, McHale LK, Truco MJ, Ochoa OE, Michelmore RW, Scheffler BE (2009) Association mapping and marker-assisted selection of the lettuce dieback resistance gene Tvr1. BMC Plant Biol 9:135

    Article  PubMed  Google Scholar 

  • Stam P (1993) Construction of integrated genetic-linkage maps by means of a new computer package: JoinMap. Plant J 3:739–744

    Article  CAS  Google Scholar 

  • Truco MJ, Antonise R, Lavelle D, Ochoa O, Kozik A, Witsenboer H, Fort SB, Jeuken MJW, Kesseli RV, Lindhout P, Michelmore RW, Peleman J (2007) A high-density integrated genetic linkage map of lettuce (Lactuca spp.). Theor Appl Genet 115:735–746

    Article  PubMed  CAS  Google Scholar 

  • United States Environmental Protection Agency (2008) Registration eligibility decision for triforine. Case no. 2720, p 40. http://www.epa.gov/oppsrrd1/reregistration/REDs/triforine_red.pdf

Download references

Acknowledgment

The authors thank Amy Atallah, Mario Estrada, and Amy Folck for technical assistance and Zahi Atallah for valuable discussion. Sharon Benzen and Todd Bunnell provided fungicides for trials and Nina Simkova made corrections to the manuscript. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ivan Simko.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Simko, I., Hayes, R.J., Truco, M.J. et al. Mapping a dominant negative mutation for triforine sensitivity in lettuce and its use as a selectable marker for detecting hybrids. Euphytica 182, 157–166 (2011). https://doi.org/10.1007/s10681-011-0407-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10681-011-0407-0

Keywords

Profiles

  1. Ivan Simko