An ultra-high-density bin map facilitates high-throughput QTL mapping of horticultural traits in pepper (Capsicum annuum).

DNA Res

Department of Plant Science, Plant Genomics and Breeding Institute and Vegetable Breeding Research Center, College of Agriculture and Life Sciences, Seoul National University, Seoul 151-921, Republic of Korea

Published: April 2016

AI Article Synopsis

  • Most agricultural traits, particularly in pepper (Capsicum spp.), are influenced by quantitative trait loci (QTLs), but research on this is limited due to insufficient molecular mapping data.
  • In this study, researchers used an ultra-high-density map and 120 recombinant inbred lines (RILs) from two pepper varieties to conduct QTL mapping for horticultural traits, resulting in a comprehensive bin map with over 2,500 bins.
  • They identified 86 significant QTLs linked to 17 traits, including 32 major QTLs, showcasing the effectiveness of low-coverage sequencing in creating detailed bin maps for fine-mapping and enhancing genome quality by organizing genetic information.

Article Abstract

Most agricultural traits are controlled by quantitative trait loci (QTLs); however, there are few studies on QTL mapping of horticultural traits in pepper (Capsicum spp.) due to the lack of high-density molecular maps and the sequence information. In this study, an ultra-high-density map and 120 recombinant inbred lines (RILs) derived from a cross between C. annuum'Perennial' and C. annuum'Dempsey' were used for QTL mapping of horticultural traits. Parental lines and RILs were resequenced at 18× and 1× coverage, respectively. Using a sliding window approach, an ultra-high-density bin map containing 2,578 bins was constructed. The total map length of the map was 1,372 cM, and the average interval between bins was 0.53 cM. A total of 86 significant QTLs controlling 17 horticultural traits were detected. Among these, 32 QTLs controlling 13 traits were major QTLs. Our research shows that the construction of bin maps using low-coverage sequence is a powerful method for QTL mapping, and that the short intervals between bins are helpful for fine-mapping of QTLs. Furthermore, bin maps can be used to improve the quality of reference genomes by elucidating the genetic order of unordered regions and anchoring unassigned scaffolds to linkage groups.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833416PMC
http://dx.doi.org/10.1093/dnares/dsv038DOI Listing

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