4.7 Article

Quantitative Trait Loci for Morphological Traits and their Association with Functional Genes in Raphanus sativus

Journal

FRONTIERS IN PLANT SCIENCE
Volume 7, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2016.00255

Keywords

quantitative trait loci (QTLs); morphological trait; candidate gene; comparative mapping

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Funding

  1. Golden Seed Project [213002-04-4-SB110]
  2. Ministry of Agriculture, Food and Rural Affairs (MAMA)
  3. Ministry of Oceans and Fisheries (MOP)
  4. Rural Development Administration (RDA)
  5. Korea Forest Service (KFS)

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Identification of quantitative trait loci (QTLs) governing morphologically important traits enables to comprehend their potential genetic mechanisms in the genetic breeding program. In this study, we used 210 F-2 populations derived from a cross between two radish inbred lines (Raphanus sativus) 835 and B2, including 258 SSR markers were used to detect QTLs for 11 morphological traits that related to whole plant, leaf, and root yield in 3 years of replicated field test. Total 55 QTLs were detected which were distributed on each linkage group of the Raphanus genome. Individual QTLs accounted for 2.69-12.6 of the LOD value, and 0.82-16.25% of phenotypic variation. Several genomic regions have multiple traits that clustered together, suggested the existence of pleiotropy linkage. Synteny analysis of the QTL regions with A. thaliana genome selected orthologous genes in radish. InDels and SNPs in the parental lines were detected in those regions by Illumina genome sequence. Five identified candidate gene -based markers were validated by co-mapping with underlying QTLs affecting different traits. Semi-quantitative reverse transcriptase PCR analysis showed the different expression levels of these five genes in parental lines. In addition, comparative QTL analysis with B. rapa revealed six common QTL regions and four key major evolutionarily conserved crucifer blocks (J, U, R, and VV) harboring QTL for morphological traits. The QTL positions identified in this study will provide a valuable resource for identifying more functional genes when whole radish genome sequence is released. Candidate genes identified in this study that co-localized in QTL regions are expected to facilitate in radish breeding programs.

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