4.8 Article

Solanum pennellii backcross inbred lines (BILs) link small genomic bins with tomato traits

Journal

PLANT JOURNAL
Volume 87, Issue 2, Pages 151-160

Publisher

WILEY
DOI: 10.1111/tpj.13194

Keywords

tomato; Solanum lycopersicum; Solanum pennellii; backcross inbred lines; high-resolution mapping; cuticular waxes

Categories

Funding

  1. Israel Science Foundation (ISF) [646/11, 653/15]
  2. Adelis Foundation
  3. Leona M. and Harry B. Helmsley Charitable Trust
  4. Jeanne and Joseph Nissim Foundation for Life Sciences
  5. Tom and Sondra Rykoff Family Foundation Research
  6. Raymond Burton Plant Genome Research Fund
  7. European Research Council (ERC) [294691]
  8. Israeli President's Scholarship for Scientific Excellence and Innovation
  9. European Research Council (ERC) [294691] Funding Source: European Research Council (ERC)

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We present a resource for fine mapping of traits derived from the wild tomato species Solanum pennellii (LA0716). The population of backcross inbred lines (BILs) is composed of 446 lines derived after a few generations of backcrosses of the wild species with cultivated tomato (cultivar M82; LA3475), followed by more than seven generations of self-pollination. The BILs were genotyped using the 10K SOL-CAP single nucleotide polymorphism (SNP) -Chip, and 3700 polymorphic markers were used to map recombination break points relative to the physical map of Solanum lycopersicum. The BILs carry, on average, 2.7 introgressions per line, with a mean introgression length of 11.7Mbp. Whereas the classic 76 introgression lines (ILs) partitioned the genome into 106 mapping bins, the BILs generated 633 bins, thereby enhancing the mapping resolution of traits derived from the wild species. We demonstrate the power of the BILs for rapid fine mapping of simple and complex traits derived from the wild tomato species. Significance statement Wild species that are related to crop plants offer a means to understand the genetic basis of past domestication events and provide allelic diversity that can be used for future breeding of superior varieties. Here, we describe a high-resolution resource for tomato, which can be used to rapidly link genomic regions to phenotypes.

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