Fine mapping a QTL for carbon isotope composition in tomato

Theor Appl Genet. 2008 Jul;117(2):221-33. doi: 10.1007/s00122-008-0767-6. Epub 2008 Apr 30.

Abstract

Carbon isotope composition (delta(13)C) and leaf water-use efficiency vary in concert in C3 plants, making delta(13)C useful as a proxy for plant water-use efficiency. A QTL for delta(13)C was detected in the Solanum pennellii chromosome fragment of IL5-4, an introgression line with S. lycopersicum cv. M82 background. M82 and IL 5-4 were crossed, and RFLP markers in the target region converted to PCR-based markers. Forty-one recombinants with an introgression fragment ranging in length from 1.1 to 11.4 cM were identified by marker assisted selection (MAS) among approximately 2000 F2 plants. A total of 29 markers were mapped within the introgression fragment unique to IL5-4. These markers divided the about 9 cM target region into nine intervals. A dominant QTL for delta(13)C, designated QWUE5.1 that explained 25.6% of the total phenotypic variance was mapped to an interval about 2.2 cM long. Twenty-one plants with a S. pennellii chromosome fragment shortened to a length of 2.0-9.1 cM by a second recombination event were generated by MAS of 1,125 F4 plants. Two near isogenic lines with high delta(13)C (small negative value) and carrying QWUE5.1 on the shortest introgression fragments (about 7.0 cM) were identified. The markers and genetic stocks developed are valuable for cloning the gene underlying QWUE5.1, MAS of QWUE5.1, and fine-mapping genes/QTL located in this region.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Amplified Fragment Length Polymorphism Analysis
  • Carbon Isotopes
  • Chromosome Mapping*
  • Chromosomes, Plant / genetics
  • Genetic Markers
  • Genome, Plant / genetics
  • Genotype
  • Lycopersicon esculentum / genetics*
  • Polymerase Chain Reaction
  • Quantitative Trait Loci / genetics*
  • Recombination, Genetic / genetics

Substances

  • Carbon Isotopes
  • Genetic Markers