Skip to main content
Log in

Mapping QTLs conferring salt tolerance during germination in tomato by selective genotyping

  • Published:
Molecular Breeding Aims and scope Submit manuscript

Abstract

This study was conducted to identify genomic regions (quantitative trait loci, QTLs) affecting salt tolerance during germination in tomato. Germination response of an F2 population of a cross between UCT5 (Lycopersicon esculentum, salt-sensitive) and LA716 (L. pennellii, salt-tolerant) was evaluated at a salt-stress level of 175 mM NaCl + 17.5 mM CaCl2 (water potential ca. −950 kPa). Germination was scored visually as radicle protrusion at 6 h intervals for 30 consecutive days. Individuals at both extremes of the response distribution (i.e., salt-tolerant and salt-sensitive individuals) were selected. The selected individuals were genotyped at 84 genetic markers including 16 isozymes and 68 restriction fragment length polymorphisms (RFLPs). Trait-based marker analysis (TBA) which measures changes (differences) in marker allele frequencies in selected lines was used to identify marker-linked QTLs. Eight genomic regions were identified on seven tomato chromosomes bearing genes (QTLs) with significant effects on this trait. The results confirmed our previous suggestion that salt tolerance during germination in tomato is polygenically controlled. The salt-tolerant parent contributed favorable QTL alleles on chromosomes 1, 3, 9 and 12 whereas the salt sensitive parent contributed favorable QTL alleles on chromosomes 2, 7 and 8. The identification of favorable alleles in both parents suggests the likelihood of recovering transgressive segregants in progeny derived from these parental genotypes. The results can be used for marker-assisted selection and breeding of salt-tolerant tomatoes.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. Caro M, Cruz V, Cuartero J, Estan MT, Bolarin MC: Salinity tolerance of normal-fruited and cherry tomato cultivars. Plant Soil 136: 249–255 (1991).

    Google Scholar 

  2. Chetelat R, De Verna J: Expression of unilateral incompatibility in pollen of Lycopersicon pennellii is determined by major loci on chromosomes 1, 6 and 10. Theor Appl Genet 82: 704–712 (1991).

    Google Scholar 

  3. Darvasi A, Soller M: Selective genotyping for determination of linkage between a marker locus and a quantitative trait locus. Theor Appl Genet 85: 353–359 (1992).

    Google Scholar 

  4. Dudley JW: Molecular markers in plant improvement: manipulation of genes affecting quantitative traits. Crop Sci 33: 660–668 (1993).

    Google Scholar 

  5. Eagen KA, Goldman IL: Assessment of RAPD marker frequencies over cycles of recurrent selection for pigment concentration and percent solids in red beet (Beta vulgaris L.). Mol Breed 2: 107–115 (1996).

    Google Scholar 

  6. Epstein E, Norlyn JD, Rush DW, Kingsbury RW, Kelly DB, Gunningham GA, Wrona AF: Saline culture of crops: a genetic approach. Science 210: 399–404 (1980).

    Google Scholar 

  7. Falconer DS: Introduction to Quantitative Genetics. Longman Scientific & Technical, Essex, UK (1989).

    Google Scholar 

  8. Feinberg AP, Vogelstein B: A technique for radiolabelling fragments to high specific activity. Anal Biochem 132: 6–13 (1983).

    Google Scholar 

  9. Foolad MR: Genetic analysis of salt tolerance during vegetative growth in tomato, Lycopersicon esculentum Mill. Plant Breed 115: 245–250 (1996).

    Google Scholar 

  10. Foolad MR: Genetic basis of physiological traits related to salt tolerance in tomato, Lycopersicon esculentum Mill. Plant Breed (in press) (1996).

  11. Foolad MR: Response to selection for salt tolerance during germination in tomato seed derived from P.I. 174263. J Am Soc Hort Sci 121: 1006–1011 (1996).

    Google Scholar 

  12. Foolad MR: Unilateral incompatibility as a major cause of skewed segregation in the cross between Lycopersicon esculentum and L. pennellii. Plant Cell Rep 15: 627–633 (1996).

    Google Scholar 

  13. Foolad MR, Arulsekar S, Becerra V, Bliss FA: A genetic map of Prunus, based on an interspecific cross between peach and almond. Theor Appl Genet 91: 262–269 (1995).

    Google Scholar 

  14. Foolad MR, Jones RA: Genetic analysis of salt tolerance during germination in Lycopersicon. Theor Appl Genet 81: 321–326 (1991).

    Google Scholar 

  15. Foolad MR, Jones RA: Models to estimate maternally controlled genetic variation in quantitative seed characters. Theor Appl Genet 83: 360–366 (1992).

    Google Scholar 

  16. Foolad MR, Jones RA: Parent-offspring regression estimates of heritability for salt tolerance during germination in tomato. Crop Sci 32: 439–442 (1992).

    Google Scholar 

  17. Foolad MR, Jones RA: Mapping salt-tolerance genes in tomato (Lycopersicon esculentum) using trait-based marker analysis. Theor Appl Genet 87: 184–192 (1993).

    Google Scholar 

  18. Foolad MR, Jones RA, Rodriguez RL: RAPD markers for constructing intraspecific tomato genetic maps. Plant Cell Rep 12: 293–297 (1993).

    Google Scholar 

  19. Foolad MR, Lin GY: Genetic potential for salt tolerance during germination in Lycopersicon species. HortScience (in press) (1996).

  20. Frei OM, Stuber CW, Goodman MM: Yield manipulation from selection on allozyme genotypes in a composite of elite corn lines. Crop Sci 26: 917–921 (1986).

    Google Scholar 

  21. Gehan EA: Estimating survival functions from the life table. J Chron Dis 21: 629–644 (1969).

    Google Scholar 

  22. Greenway H, Munns R: Mechanism of salt tolerance in nonhalophytes. Annu Rev Plant Physiol 31: 149–190 (1980).

    Google Scholar 

  23. Hedrick PW: Genetics of Populations. Science Books International, Boston (1983).

    Google Scholar 

  24. Hu J, Quiros CF, Arus P, Struss D, Robbelen G: Mapping of a gene determining linolenic acid concentration in rapeseed with DNA-based markers. Theor Appl Genet 90: 258–262 (1995).

    Google Scholar 

  25. Johnson DW, Smith SE, Dobrenz AK: Genetic and phenotypic relationships in response to NaCl at different developmental stages in alfalfa. Theor Appl Genet 83: 833–838 (1992).

    Google Scholar 

  26. Jones RA: High salt-tolerance potential in Lycopersicon species during germination. Euphytica 35: 576–582 (1986).

    Google Scholar 

  27. Lander ES, Botstein D: Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121: 185–199 (1989).

    Google Scholar 

  28. Lebowitz RJ, Soller M, Beckmann M: Trait-based analysis for the detection of linkage between marker loci and quantitative loci in crosses between inbred lines. Theor Appl Genet 73: 556–562 (1987).

    Google Scholar 

  29. Lee E: Statistical Methods for Survival Data Analysis. Wadworth, Lifetime Learning Publishers, Belmont, CA (1980).

    Google Scholar 

  30. Maas EV: Salt tolerance of plants. Appl Agri Res 1: 12–26 (1986).

    Google Scholar 

  31. Martin B, Nienhuis J, King G: Restriction fragment length polymorphisms associated with water use efficiency in tomato. Science 243: 1725–1728 (1989).

    Google Scholar 

  32. Paterson AH, Damon S, Hewitt JD, Zamir D, Rabinowitch HD, Lincoln SE, Lander ES, Tanksley SD: Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments. Genetics 127: 181–197 (1991).

    Google Scholar 

  33. Paterson AH, Lander ES, Hewitt JD, Peterson S, Lincoln SE, Tanksley SD: Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature 335: 721–726 (1988).

    Google Scholar 

  34. Rick CM: Controlled introgression of chromosomes of Solanum pennellii into Lycopersicon esculentum: segregation and recombination. Genetics 62: 753–768 (1969).

    Google Scholar 

  35. Sax K: The association of size differences with seed coat pattern and pigmentation in Phaseolus vulgaris. Genetics 8: 552–560 (1923).

    Google Scholar 

  36. Scott SJ, Jones RA, Williams WA: Review of data analysis methods for seed germination. Crop Sci 24: 1192–1199 (1984).

    Google Scholar 

  37. Shannon MC: Principles and strategies in breeding for higher salt tolerance. Plant Soil 89: 227–241 (1985).

    Google Scholar 

  38. Steel RGD, Torrie JH: Principles and Procedures of Statistics. McGraw-Hill, New York (1980).

    Google Scholar 

  39. Stuber CW, Moll RH: Frequency changes of isozymes in a selection experiment for grain yield in maize (Zea mays L.). Crop Sci 12: 337–340 (1972).

    Google Scholar 

  40. Stuber CW, Moll RH, Goodman MM, Schaffer H, Weir BS: Allozyme frequency changes associated with selection for increased grain yield in maize. Genetics 95: 225–236 (1980).

    Google Scholar 

  41. Sughroue JR, Rocheford TR: Restriction fragment length polymprphism differences among Illinois long-term selection oil strains. Theor Appl Genet 87: 916–924 (1994).

    Google Scholar 

  42. Tanksley SD: Mapping polygenes. Annu Rev Genet 27: 205–233 (1993).

    Google Scholar 

  43. Thoday JM: Location of polygenes. Nature 191: 368–370 (1961).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. R. Foolad.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Foolad, M.R., Stoltz, T., Dervinis, C. et al. Mapping QTLs conferring salt tolerance during germination in tomato by selective genotyping. Molecular Breeding 3, 269–277 (1997). https://doi.org/10.1023/A:1009668325331

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1009668325331

Navigation