ArticleMetabolomics : Official journal of the Metabolomic Society2019
Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds.
Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-omics revolution to promote plant breeding efficiency.Frontiers in plant science · 2022Pooled it
- A tomato MAGIC population reveals candidate genes for leaf dry matter and phenolics, two key traits for stress resilience and climate-smart breeding.Frontiers in plant science · 2026Article
- QT-GWAS: A novel method for unveiling biosynthetic loci affecting qualitative metabolic traits.Molecular plant · 2023Article
- Systems biology for crop improvement.The plant genome · 2021Review
- Biochar-Enhanced Resistance toFrontiers in plant science · 2021Article
- Dissection of complex traits of tomato in the post-genome era.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Review
- Network Analysis Provides Insight into Tomato Lipid Metabolism.Metabolites · 2020Article
- Review
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14 authors.
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Abstract
introductionTo date, most studies of natural variation and metabolite quantitative trait loci (mQTL) in tomato have focused on fruit metabolism, leaving aside the identification of genomic regions involved in the regulation of leaf metabolism.
objectiveThis study was conducted to identify leaf mQTL in tomato and to assess the association of leaf metabolites and physiological traits with the metabolite levels from other tissues.
methodsThe analysis of components of leaf metabolism was performed by phenotypying 76 tomato ILs with chromosome segments of the wild species Solanum pennellii in the genetic background of a cultivated tomato (S. lycopersicum) variety M82. The plants were cultivated in two different environments in independent years and samples were harvested from mature leaves of non-flowering plants at the middle of the light period. The non-targeted metabolite profiling was obtained by gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). With the data set obtained in this study and already published metabolomics data from seed and fruit, we performed QTL mapping, heritability and correlation analyses.
resultsChanges in metabolite contents were evident in the ILs that are potentially important with respect to stress responses and plant physiology. By analyzing the obtained data, we identified 42 positive and 76 negative mQTL involved in carbon and nitrogen metabolism.
conclusionsOverall, these findings allowed the identification of S. lycopersicum genome regions involved in the regulation of leaf primary carbon and nitrogen metabolism, as well as the association of leaf metabolites with metabolites from seeds and fruits.
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