Theoretical and Applied Genetics

, Volume 111, Issue 5, pp 898–905 | Cite as

A major QTL introgressed from wild Lycopersicon hirsutum confers chilling tolerance to cultivated tomato (Lycopersicon esculentum)

  • F. John Goodstal
  • Glenn R. Kohler
  • Leslie B. Randall
  • Arnold J. Bloom
  • Dina A. St.Clair
Original Paper


Many plants of tropical or subtropical origin, such as tomato, suffer damage under chilling temperatures (under 10°C but above 0°C). An earlier study identified several quantitative trait loci (QTLs) for shoot turgor maintenance (stm) under root chilling in an interspecific backcross population derived from crossing chilling-susceptible cultivated tomato (Lycopersicon esculentum) and chilling-tolerant wild L. hirsutum. The QTL with the greatest phenotypic effect on stm was located in a 28 cM region on chromosome 9 (designated stm9), and enhanced chilling-tolerance was conferred by the presence of the Lycopersicon hirsutum allele at this QTL. Here, near-isogenic lines (NILs) were used to verify the effect of stm9, and recombinant sub-NILs were used to fine map its position. Replicated experiments were performed with NILs and sub-NILs in a refrigerated hydroponic tank in the greenhouse. Sub-NIL data was analyzed using least square means separations, marker-genotype mean t-tests, and composite interval mapping. A dominant QTL controlling shoot turgor maintenance under root chilling was confirmed on chromosome 9 using both NILs and sub-NILs. Furthermore, sub-NILs permitted localization of stm9 to a 2.7 cM interval within the original 28 cM QTL region. If the presence of the L. hirsutum allele at stm9 also confers chilling-tolerance in L. esculentum plants grown under field conditions, it has the potential to expand the geographic areas in which cultivated tomato can be grown for commercial production.


Marker Assisted Selection Composite Interval Mapping Restriction Fragment Length Polymorphic Chilling Tolerance Paired NILs 
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 research was supported in part by a United States Department of Agriculture National Research Initiative ‘Plant Responses to the Environment’ grant 00-35100-9530 to AJB and DAS.


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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • F. John Goodstal
    • 1
  • Glenn R. Kohler
    • 1
  • Leslie B. Randall
    • 1
  • Arnold J. Bloom
    • 1
  • Dina A. St.Clair
    • 1
  1. 1.Department of Plant SciencesUniversity of California-DavisDavisUSA

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