4.7 Article

Rapid and reliable identification of tomato fruit weight and locule number loci by QTL-seq

Journal

THEORETICAL AND APPLIED GENETICS
Volume 128, Issue 7, Pages 1329-1342

Publisher

SPRINGER
DOI: 10.1007/s00122-015-2509-x

Keywords

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Funding

  1. Agriculture and Food Research Initiative competitive grantof the USDA National Institute of Food and Agriculture [2013-67013-21229]
  2. National Science Foundation [IOS 0922661]
  3. NIFA [2013-67013-21229, 577384] Funding Source: Federal RePORTER
  4. Division Of Integrative Organismal Systems
  5. Direct For Biological Sciences [0922661] Funding Source: National Science Foundation

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Bulk segregant analysis coupled with whole genome sequencing is a powerful approach and cost-effective method to identify loci controlling fruit traits in tomato. Domestication of fruit and vegetable crops was accompanied by selection for weight of the edible parts. Increases in fruit weight are controlled by multiple quantitative trait loci (QTL). To date, only two fruit weight genes have been cloned and a third has been fine-mapped. Genes that control locule number also impact fruit weight and two of them are known. To efficiently identify additional tomato fruit weight (FW) and locule number (LC) loci, six F-2 populations were generated from crosses between closely related tomato accessions for which the alleles of the cloned FW and LC genes were known. We employed the bulk segregant approach coupled to whole genome sequencing (QTL-seq) which led to the identification of three highly significant and newly mapped FW QTL. fw11.2 was located in the distal part of chromosome 11 above the known loci fas and fw11.3; fw1.1 in the pericentromeric region of chromosome 1; and fw3.3 located similar to 1.6 Mb below the known fruit weight gene, SlKLUH/FW3.2. In addition, we mapped three LC QTL (lcn2.4, lcn5.1, and lcn6.1) although their significance was generally low. To confirm the location of the gene underlying fw11.2, we developed additional markers and conducted progeny tests. These results allowed us to narrow down the fw11.2 QTL to a region of similar to 750 kb corresponding to 66 candidate genes. Our research approach provided a cost-effective and time-efficient method for the identification of additional genes involved in FW and LC that could be used for both fruit development studies and crop improvement programs.

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