Skip to main content
Log in

Marker-assisted introgression of blackmold resistance QTL alleles from wild Lycopersicon cheesmanii to cultivated tomato (L. esculentum) and evaluation of QTL phenotypic effects

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

Blackmold, caused by the fungus Alternaria alternata, is a major ripe fruit disease of processing tomatoes. Previously, we found blackmold resistance in a wild tomato (Lycopersicon cheesmanii) and quantitative trait loci (QTL) for resistance were mapped in an interspecific population. Five QTLs were selected for introgression from L. cheesmanii into cultivated tomato using marker-assisted selection (MAS). Restriction fragment length polymorphism and PCR-based markers flanking, and within, the chromosomal regions containing QTLs were used for MAS during backcross and selfing generations. BC1 plants heterozygous at the QTLs, and subsequent BC1S1 and BC1S2 lines possessing different homozygous combinations of alleles at the target QTLs, were identified using DNA markers. Field experiments were conducted in 1998 (with 80 marker-selected BC1S2 lines) and 1999 (with 151 marker-selected BC1S2 and BC1S3 lines) at three California locations. Blackmold resistance was assessed during both years, and horticultural traits were evaluated in 1999. The BC1S2 and BC1S3 lines containing L. cheesmanii alleles at the QTLs were associated with a large genetic variance for resistance to blackmold and moderate heritability, suggesting that significant genetic gain may be achieved by selection in this genetic material. L. cheesmanii alleles at three of the five introgressed QTLs showed a significant, positive effect on blackmold resistance. A QTL on chromosome 2 had the largest positive effect on blackmold resistance, alone and in combination with other QTLs, and was also associated with earliness, a positive horticultural trait. The other four QTLs were associated primarily with negative horticultural traits. Fine mapping QTLs using near isogenic lines could help determine if such trait associations are due to linkage drag or pleiotropy.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bartlett M.S. 1937. Some examples of statistical methods of research in agriculture and applied biology. J. Roy. Stat. Soc. 4: 158–159.

    Google Scholar 

  2. Beavis W. 1994. The power and bias of QTL experiments: lessons in comparative QTL studies. In: Proceedings of the 49th Annual Corn and Sorghum Research Conference. ASTA, Washington, DC, pp. 250–266.

    Google Scholar 

  3. Bernacchi D. and Tanksley S.D. 1997. An interspecific backcross of Lycopersicon esculentum × ?L. hirsutum: linkage analysis and a QTL study of sexual compatibility factors and floral traits. Genetics 147: 861–877.

    Google Scholar 

  4. Bernacchi D., Beck Bunn T., Eshed Y., Lopez J., Petiard V., Uhlig J., Zamir D. and Tanksley S.D. 1998. Advanced backcross QTL analysis in tomato. 1. Identification of QTLs for traits of agronomic importance from Lycopersicon hirsutum. Theor. Appl. Genet. 97: 381–397.

    Google Scholar 

  5. Cassol T. and St.Clair D.A. 1994. Inheritance of resistance to blackmold (Alternaria alternaria Fr. Keissler) in two interspecific crosses of tomato (Lycopersicon esculentum × Lycopersicon cheesmanii f. typicum). Theor. Appl. Genet. 88: 581–588.

    Google Scholar 

  6. Concibido V.C., Denny R.L., Lange D.A., Orf J.H. and Young N.D. 1996. RFLP mapping and marker-assisted selection of soybean cyst nematode resistance in PI 209332. Crop Sci. 36: 1643–1650.

    Google Scholar 

  7. Daly M.J., Lincoln S.E. and Lander E.S. 1991. ‘PRIMER’, unpublished software. Whitehead Institute/MIT Center for Genome Research.

  8. De Vicente M.C. and Tanksley S.D. 1993. QTL analysis of transgressive segregation in an interspecific tomato cross. Genetics 134: 585–596.

    Google Scholar 

  9. Dudley J.W. 1993. Molecular markers in plant improvement: manipulation of genes affecting quantitative traits. Crop Sci. 33: 660–668.

    Google Scholar 

  10. Dunnett C.W. 1955. A multiple comparison procedure for comparing several treatments with a control. J. Am. Stat. Ass. 50: 1096–1121.

    Google Scholar 

  11. Edwards M.D. and Page N.J. 1994. Evaluation of markerassisted selection through computer simulation. Theor. Appl. Genet. 88: 376–382.

    Google Scholar 

  12. Eshed Y. and Zamir D. 1995. An introgression line population of Lycopersicon pennellii in cultivated tomato enables identi-fication and fine mapping of yield-associated QTL. Genetics 141: 1147–1162.

    Google Scholar 

  13. Fehr W.R. 1987. Principles of Cultivar Development, Volume 1: Theory and Technique. MacMillan, New York.

    Google Scholar 

  14. Frisch M., Bohn M. and Melchinger A.E. 1999. Minimum sample size and optimal positioning of flanking markers in marker-assisted backcrossing for transfer of a target gene. Crop Sci. 39: 967–975.

    Google Scholar 

  15. Fulton T.M., Chunwongse J. and Tanksley S.D. 1995. Microprep protocol for extraction of DNA from tomato and other herbaceous plants. Plant Mol. Biol. Rep. 13: 207–209.

    Google Scholar 

  16. Geffroy V., Creusot F., Falquet J., Sevignac M., Adam-Blondon A.F., Bannerot H., Gepts P. and Dron M. 1998. A family of LRR sequences in the vicinity of the Co-2 locus for anthracnose resistance in Phaseolus vulgaris and its potential use for marker-assisted selection. Theor. Appl. Genet. 96: 494–502.

    Google Scholar 

  17. Gilchrist D.G. and Grogan R.G. 1976. Production and nature of a host-specific toxin from Alternaria alternata f. sp. lycopersici. Phytopathology 66: 165–171.

    Google Scholar 

  18. Grandillo S., Ku H.M. and Tanksley S.D. 1999. Identifying the loci responsible for natural variation in fruit size and shape in tomato. Theor. Appl. Genet. 99: 978–987.

    Google Scholar 

  19. Grogan R.G., Kimble A.A. and Misaghi I. 1975. A stem canker disease of tomato caused by Alternaria alternata f.sp. lycopersici. Phytopathology 65: 880–886.

    Google Scholar 

  20. Han F., Romagosa I., Ullrich S.E., Jones B.L., Hayes P.M. and Wesenberg D.M. 1997. Molecular marker-assisted selection for malting quality traits in barley. Mol. Breed. 3: 427–437.

    Google Scholar 

  21. Hausner G., Rashid K.Y., Kenaschuk E.O. and Procunier J.D. 1999. The identification of a cleaved amplified polymorphic sequence (CAPS) marker for the flax rust resistance gene M3. Can. J. Plant Path. 21: 187–192.

    Google Scholar 

  22. Hernandez P., Martin A. and Dorado G. 1999. Development of SCARs by direct sequencing of RAPD products: a practical tool for the introgression and marker-assisted selection of wheat. Mol. Breed. 5: 245–253.

    Google Scholar 

  23. Hospital F. and Charcosset A. 1997. Marker-assisted introgression of quantitative trait loci. Genetics 147: 1469–1485.

    Google Scholar 

  24. Hospital F., Chevalet C. and Mulsant P. 1992. Using markers in gene introgression breeding programs. Genetics 132: 1199–1210.

    Google Scholar 

  25. Huang N., Angeles E.R., Domingo J., Magpantay G., Singh S., Zhang G., Kumaravadivel N., Bennett J. and Khush G.S. 1997. Pyramiding of bacterial blight resistance genes in rice: marker-assisted selection using RFLP and PCR. Theor. Appl. Genet. 95: 313–320.

    Google Scholar 

  26. Kawchuk L.M., Hachey J. and Lynch D.R. 1998. Development of sequence characterized DNA markers linked to a dominant Verticillium wilt resistance gene in tomato. Genome 41: 91–95.

    Google Scholar 

  27. Kearsey M.J. and Farquhar A.G.L. 1998. QTL analysis in plants; where are we now. Heredity 80: 137–142.

    Google Scholar 

  28. Kelly J.D. and Miklas P.N. 1998. The role of RAPD markers in breeding for disease resistance in common bean. Mol. Breed. 4: 1–11.

    Google Scholar 

  29. Knapp S.J. 1994. Mapping quantitative trait loci. In: Phillips R.L. and Vasil I.K. (eds.), DNA-Based Markers in Plants. Kluwer Academic Publishers, Dordrecht, Netherlands, pp. 58–96.

    Google Scholar 

  30. Koepsell P.A. 1968. The etiology of Geotrichum and Alternaria molds and their effects on mechanical harvesting of tomato. Ph.D. thesis, University of California, Davis, CA.

    Google Scholar 

  31. Konieczny A. and Ausubel F.M. 1993. A procedure for mapping Arabidopsis mutations using co-dominant ecotypespecific PCR-based markers. Plant J. 4: 403–410.

    Google Scholar 

  32. Lande R. and Thompson R. 1990. Efficiency of markerassisted selection in the improvement of quantitative traits. Genetics 124: 743–756.

    Google Scholar 

  33. Larson S.R., Kadyrzhanova D., McDonald C., Sorrells M. and Blake T.K. 1996. Evaluation of barley chromosome-3 yield QTLs in a backcross F2 population using STS-PCR. Theor. Appl. Genet. 4: 618–625.

    Google Scholar 

  34. Lawson D.M., Lunde C.F. and Mutschler M.A. 1997. Markerassisted transfer of acylsugar-mediated pest resistance from the wild tomato, Lycopersicon pennellii, to the cultivated tomato, Lycopersicon esculentum. Mol. Breed. 3: 307–317.

    Google Scholar 

  35. Lawson W.R., Goulter K.C., Henry R.J., Kong G.A. and Kochman J.K. 1998.: Marker-assisted selection for two rust resistance genes in sunflower. Mol. Breed. 4: 227–234.

    Google Scholar 

  36. Lee S.J. and Penner G.A. 1997. The conversion of RFLP markers to allele specific amplicons linked to QTLs governing malting quality in barley. Mol. Breed 3: 457–462.

    Google Scholar 

  37. Michelmore R.W. 1995. Molecular approaches to manipulation of disease resistance genes. Annu. Rev. Phytopath. 15: 393–427.

    Google Scholar 

  38. Michelmore R.W., Paran I. and Kesseli R.V. 1991. Identification of markers linked to disease resistance genes by bulk segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations. Proc. Natl. Acad. Sci. USA 88: 9828–9832.

    Google Scholar 

  39. Morris P.F., Connolly M.S. and St.Clair D.A. 2000. Genetic diversity of Alternaria alternata isolated from tomato in California assessed using RAPDs. Mycol. Res. 104: 286–292.

    Google Scholar 

  40. Myburg A.A., Cawood M., Wingfield B.D. and Botha A.M. 1998. Development of RAPD and SCAR markers linked to the Russian wheat aphid resistance gene Dn2 in wheat. Theor. Appl. Genet. 96: 1162–1169.

    Google Scholar 

  41. Ott L. 1988. An Introduction to Statistical Methods and Data Analysis, 3rd ed. PWS-Kent Publishing Co., Boston.

    Google Scholar 

  42. Pearson R.C. and Hall D.H. 1975. Factors affecting the occurrence and severity of blackmold on ripe tomato fruit caused by Alternaria alternata. Phytopathology 65: 1352–1359.

    Google Scholar 

  43. Perkins D.D. 1962. Preservation of Neurospora stock cultures with anhydrous silica gel. Can. J. Microbiol. 8: 592–594.

    Google Scholar 

  44. Phillips R.L. and Vasil I.K. 1994. DNA-Based Markers in Plants. Kluwer Academic Publishers, Dordrecht, Netherlands.

    Google Scholar 

  45. Romagosa I., Han F., Ullrich S.E., Hayes P.M. and Wesenberg D.M. 1999. Verification of yield QTL through realized molecular marker-assisted responses in a barley cross. Mol. Breed. 5: 143–152.

    Google Scholar 

  46. SAS Institute. 1996. The SAS System for Windows. SAS Institute Inc., Cary, NC.

    Google Scholar 

  47. Spelman R.J. and van Arendonk J.A.M. 1997. Effect of inaccurate parameter estimates on genetic response to markerassisted selection in an outbred population. J. Dairy. Sci. 80: 3399–3410.

    Google Scholar 

  48. St.Clair D.A., Truco M.J., Aitken K.S. and Cassol T. 2002. Detection of QTLs for resistance to blackmold (Alternaria alternata) in a Lycopersicon esculentum × ?L. cheesmanii population. Theor. Appl. Genet. (in revision).

  49. Toojinda T., Baird E., Booth A., Broers L., Hayes P., Powell W., Thomas W., Vivar H. and Young G. 1998. Introgression of quantitative trait loci (QTLs) determining strip rust resistance in barley: an example of marker-assisted selection line development. Theor. Appl. Genet. 96: 123–131.

    Google Scholar 

  50. Visscher P.M., Haley C.S. and Thompson R. 1996. Markerassisted introgression in backcross breeding programs. Genetics 144: 1923–1932.

    Google Scholar 

  51. Wang H., Qi M. and Cutler A.J. 1993. A simple method of preparing plant samples for PCR. Nucl. Acids Res. 17: 4153–4154.

    Google Scholar 

  52. Young N.D. 1996. QTL mapping and quantitative disease resistance in plants. Annu. Rev. Phytopath. 34: 479–501.

    Google Scholar 

  53. Zhu H., Briceno G., Dovel R., Hayes P.M., Liu B.H., Liu C.T. and Ullrich S.E. 1999. Molecular breeding for grain yield in barley: an evaluation of QTL effects in a spring barley cross. Theor. Appl. Genet. 98: 772–779.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Robert, V.J., West, M.A., Inai, S. et al. Marker-assisted introgression of blackmold resistance QTL alleles from wild Lycopersicon cheesmanii to cultivated tomato (L. esculentum) and evaluation of QTL phenotypic effects. Molecular Breeding 8, 217–233 (2001). https://doi.org/10.1023/A:1013734024200

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1013734024200

Navigation