2016
DOI: 10.1093/jxb/erw455
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Identification, introgression, and validation of fruit volatile QTLs from a red-fruited wild tomato species

Abstract: HighlightOver 100 fruit volatile QTLs were identified in a RIL population derived from the red-fruited wild species Solanum pimpinellifolium and a fresh market tomato variety ‘Moneymaker’ and subsequently confirmed in introgression lines.

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Cited by 52 publications
(55 citation statements)
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References 45 publications
(84 reference statements)
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“…The lack of robustness in some of the identified mQTL, particularly those due to the genotype 3 environment interaction, can be explained by the data coming from one atypical harvest in comparison to the other two. The dependence of the QTL on the season/harvest has been observed for other tomato traits (Capel et al, 2017b;Rambla et al, 2017). This underscores the need to confirm QTL across different environments and populations (Collard and Mackill, 2008;Capel et al, 2017a).…”
Section: Analysis Of the Variation Of Secondary Metabolites In An Intmentioning
confidence: 88%
“…The lack of robustness in some of the identified mQTL, particularly those due to the genotype 3 environment interaction, can be explained by the data coming from one atypical harvest in comparison to the other two. The dependence of the QTL on the season/harvest has been observed for other tomato traits (Capel et al, 2017b;Rambla et al, 2017). This underscores the need to confirm QTL across different environments and populations (Collard and Mackill, 2008;Capel et al, 2017a).…”
Section: Analysis Of the Variation Of Secondary Metabolites In An Intmentioning
confidence: 88%
“…Volatile extraction and analysis were conducted as described previously [27]. First, 3 g of frozen pericarps were collected in a 10 mL headspace glass vials and incubated at 37 • C for 10 min in a water bath.…”
Section: Volatile Extraction and Gc-ms Analysismentioning
confidence: 99%
“…Although more studies are desirable, at the moment only manuscripts are available in which secondary, functional metabolites of non-model plants are characterized [2,9,12,13]. Next to studies using potatoes, strawberries, carrots or Brassica napus [9,[14][15][16][17][18], Rambla et al [18] performed a QTL analysis using a cross between Solanum lycopersicum and a red-fruited wild tomato species Solanum pimpinellifolium to relate 102 QTLs to 39 corresponding volatile organic compounds, which partly contribute to the typical flavor impression of tomatoes. In addition, by means of genome-wide association studies 323 associations among 143 single nucleotide polymorphisms and 89 metabolites were identified, including non-volatile, functional, secondary metabolites, which can be used for new human drug production [19].…”
Section: Importance Of Metabolomics For Agricultural Researchmentioning
confidence: 99%