Plant Molecular Biology Reporter

, Volume 33, Issue 2, pp 239–252

QTL Analysis Coupled with PTR-ToF-MS and Candidate Gene-Based Association Mapping Validate the Role of Md-AAT1 as a Major Gene in the Control of Flavor in Apple Fruit

  • Luca Cappellin
  • Brian Farneti
  • Mario Di Guardo
  • Nicola Busatto
  • Iuliia Khomenko
  • Andrea Romano
  • Riccardo Velasco
  • Guglielmo Costa
  • Franco Biasioli
  • Fabrizio Costa
Original Paper

Abstract

Volatile organic compounds (VOCs) are fundamental elements of flavor, one of the most important fruit-quality traits. Despite its importance, this aspect is still poorly considered in assisted breeding programs, due to the lack of suitable and fast detection systems as well as validated functional markers. In this work, a full-sib parental mapping population (‘Fuji × Delearly’) was initially employed to perform a comprehensive quantitative trait locus (QTL) survey, to assess the VOC segregation detected by a novel proton-transfer-reaction time-of-flight mass spectrometry (PTR-ToF-MS) on fruit collected after a 2-month period of postharvest storage. Among this set of genomic regions, on chromosome 2 was also verified the coincident location between a group of QTLs, mainly associated to esters and alcohols, with a functional marker designed for Md-AAT1, a gene involved in the last step of the ester biosynthetic pathway. The allelic effect of this marker (here named Md-AAT1SSR) was further validated by candidate gene association mapping approach in a collection of 124 apple accessions. In this case, the volatile profiling was performed on peeled fruit flesh, as an important fraction of the aromatic blend of apple is released only after cutting. This work proposed a new and fast method for aroma phenotyping as well as a novel marker for an easy and widely applicable apple fruit quality advanced selection.

Keywords

Fruit quality Volatile organic compounds Apple flavor QTL analysis Candidate gene-based association mapping 

Supplementary material

11105_2014_744_MOESM1_ESM.xlsx (15 kb)
Table S1List of VOC related genes annotated within each QTL interval (XLSX 15 kb)
11105_2014_744_MOESM2_ESM.xlsx (12 kb)
Table S2List of the 124 apple accessions as reported on Fig. 5 (XLSX 12 kb)
11105_2014_744_MOESM3_ESM.xlsx (10 kb)
Table S3List of VOCs as reported on Fig. 5 (XLSX 10 kb)
11105_2014_744_MOESM4_ESM.docx (134 kb)
Table S4Pearson correlation analysis performed among seven VOCs over the 124 accessions of the apple collection (DOCX 133 kb)
11105_2014_744_MOESM5_ESM.doc (66 kb)
Fig. S1Sequence of the contig (MDC018196.110) on which the AAT gene (MDP0000214714) sequence is highlighted in gray, while the microsatellite motif on which the Md-AAT1SSR marker was designed in visualized using bold text (DOC 65 kb)
11105_2014_744_MOESM6_ESM.pptx (220 kb)
Fig. S2Population structure of the apple collection. a The most probable number of groups as defined by the Evanno calculation. b The population structure based on the STRUCTURE analysis, with K = 4 (PPTX 219 kb)
11105_2014_744_MOESM7_ESM.ppt (20 kb)
Fig. S3Variation in ester content between the two classes defined according to the absence/presence of the allele Md-AAT1SSR_201. The change is depicted as log2 of the rate of change between the two groups (PPT 20 kb)

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Luca Cappellin
    • 1
  • Brian Farneti
    • 2
  • Mario Di Guardo
    • 1
  • Nicola Busatto
    • 2
  • Iuliia Khomenko
    • 1
  • Andrea Romano
    • 1
  • Riccardo Velasco
    • 1
  • Guglielmo Costa
    • 2
  • Franco Biasioli
    • 1
  • Fabrizio Costa
    • 1
  1. 1.Research and Innovation CentreFondazione Edmund MachSan Michele all’Adige (Trento)Italy
  2. 2.Department of Agricultural SciencesBologna UniversityBolognaItaly

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