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- W3016771738 abstract "Metabolic correlation networks have been used in several instances to obtain a deeper insight into the complexity of plant metabolism as a whole. In tomato (Solanum lycopersicum), metabolites have a major influence on taste and overall fruit quality traits. Previously a broad spectrum of metabolic and phenotypic traits has been described using a Solanum pennellii introgression-lines (ILs) population. To obtain insights into tomato fruit metabolism, we performed metabolic network analysis from existing data, covering a wide range of metabolic traits, including lipophilic and volatile compounds, for the first time. We provide a comprehensive fruit correlation network and show how primary, secondary, lipophilic, and volatile compounds connect to each other and how the individual metabolic classes are linked to yield-related phenotypic traits. Results revealed a high connectivity within and between different classes of lipophilic compounds, as well as between lipophilic and secondary metabolites. We focused on lipid metabolism and generated a gene-expression network with lipophilic metabolites to identify new putative lipid-related genes. Metabolite-transcript correlation analysis revealed key putative genes involved in lipid biosynthesis pathways. The overall results will help to deepen our understanding of tomato metabolism and provide candidate genes for transgenic approaches toward improving nutritional qualities in tomato." @default.
- W3016771738 created "2020-04-24" @default.
- W3016771738 creator A5000498952 @default.
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- W3016771738 date "2020-04-14" @default.
- W3016771738 modified "2023-09-26" @default.
- W3016771738 title "Network Analysis Provides Insight into Tomato Lipid Metabolism" @default.
- W3016771738 cites W1501210939 @default.
- W3016771738 cites W1509926796 @default.
- W3016771738 cites W1608287400 @default.
- W3016771738 cites W1819813004 @default.
- W3016771738 cites W1953530917 @default.
- W3016771738 cites W1972866676 @default.
- W3016771738 cites W1976253033 @default.
- W3016771738 cites W1986190245 @default.
- W3016771738 cites W1999894606 @default.
- W3016771738 cites W2005622747 @default.
- W3016771738 cites W2008002548 @default.
- W3016771738 cites W2021079850 @default.
- W3016771738 cites W2021565547 @default.
- W3016771738 cites W2025406060 @default.
- W3016771738 cites W2028778841 @default.
- W3016771738 cites W2036425536 @default.
- W3016771738 cites W2038111222 @default.
- W3016771738 cites W2040834467 @default.
- W3016771738 cites W2042923088 @default.
- W3016771738 cites W2046912952 @default.
- W3016771738 cites W2047178542 @default.
- W3016771738 cites W2051532019 @default.
- W3016771738 cites W2052212755 @default.
- W3016771738 cites W2054211166 @default.
- W3016771738 cites W2062342820 @default.
- W3016771738 cites W2066659636 @default.
- W3016771738 cites W2074762788 @default.
- W3016771738 cites W2076946749 @default.
- W3016771738 cites W2078719939 @default.
- W3016771738 cites W2081516812 @default.
- W3016771738 cites W2081906422 @default.
- W3016771738 cites W2095741091 @default.
- W3016771738 cites W2097057667 @default.
- W3016771738 cites W2099926324 @default.
- W3016771738 cites W2102914153 @default.
- W3016771738 cites W2110184505 @default.
- W3016771738 cites W2112727163 @default.
- W3016771738 cites W2118229337 @default.
- W3016771738 cites W2119226623 @default.
- W3016771738 cites W2123607611 @default.
- W3016771738 cites W2123695536 @default.
- W3016771738 cites W2127287605 @default.
- W3016771738 cites W2129934059 @default.
- W3016771738 cites W2142869987 @default.
- W3016771738 cites W2146037599 @default.
- W3016771738 cites W2146260091 @default.
- W3016771738 cites W2152029476 @default.
- W3016771738 cites W2155573571 @default.
- W3016771738 cites W2158729340 @default.
- W3016771738 cites W2159945082 @default.
- W3016771738 cites W2164154516 @default.
- W3016771738 cites W2164519838 @default.
- W3016771738 cites W2164631613 @default.
- W3016771738 cites W2166586228 @default.
- W3016771738 cites W2167961554 @default.
- W3016771738 cites W2172170041 @default.
- W3016771738 cites W2237501542 @default.
- W3016771738 cites W2344604932 @default.
- W3016771738 cites W2412986555 @default.
- W3016771738 cites W2523829231 @default.
- W3016771738 cites W2534495003 @default.
- W3016771738 cites W2576471852 @default.
- W3016771738 cites W2581576044 @default.
- W3016771738 cites W2610794633 @default.
- W3016771738 cites W2614038334 @default.
- W3016771738 cites W2619704005 @default.
- W3016771738 cites W2704545197 @default.
- W3016771738 cites W2746914205 @default.
- W3016771738 cites W2755263362 @default.
- W3016771738 cites W2783749221 @default.
- W3016771738 cites W2810611326 @default.
- W3016771738 cites W2842718607 @default.
- W3016771738 cites W2895254399 @default.
- W3016771738 cites W2922471866 @default.
- W3016771738 cites W2944137881 @default.
- W3016771738 cites W2944480173 @default.
- W3016771738 cites W2946937918 @default.
- W3016771738 cites W2953883853 @default.
- W3016771738 cites W2956790576 @default.
- W3016771738 cites W4243780532 @default.
- W3016771738 cites W4247997175 @default.
- W3016771738 cites W4361807312 @default.
- W3016771738 doi "https://doi.org/10.3390/metabo10040152" @default.
- W3016771738 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7240963" @default.
- W3016771738 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32295308" @default.
- W3016771738 hasPublicationYear "2020" @default.
- W3016771738 type Work @default.