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An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality

Eggplant (Solanum melongena L.) represents the third most important crop of the Solanaceae family and is an important component of our daily diet. A population of 164 F6 recombinant inbred lines (RILs), derived from two eggplant lines differing with respect to several key agronomic traits, “305E40”...

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Autores principales: Sulli, Maria, Barchi, Lorenzo, Toppino, Laura, Diretto, Gianfranco, Sala, Tea, Lanteri, Sergio, Rotino, Giuseppe Leonardo, Giuliano, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166230/
https://www.ncbi.nlm.nih.gov/pubmed/34079565
http://dx.doi.org/10.3389/fpls.2021.638195
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author Sulli, Maria
Barchi, Lorenzo
Toppino, Laura
Diretto, Gianfranco
Sala, Tea
Lanteri, Sergio
Rotino, Giuseppe Leonardo
Giuliano, Giovanni
author_facet Sulli, Maria
Barchi, Lorenzo
Toppino, Laura
Diretto, Gianfranco
Sala, Tea
Lanteri, Sergio
Rotino, Giuseppe Leonardo
Giuliano, Giovanni
author_sort Sulli, Maria
collection PubMed
description Eggplant (Solanum melongena L.) represents the third most important crop of the Solanaceae family and is an important component of our daily diet. A population of 164 F6 recombinant inbred lines (RILs), derived from two eggplant lines differing with respect to several key agronomic traits, “305E40” and “67/3,” was grown to the commercial maturation stage, and fruits were harvested, separated into peel and flesh, and subjected to liquid chromatography Liquid Chromatography/Mass Spectrometry (LC/MS) analysis. Through a combination of untargeted and targeted metabolomics approaches, a number of metabolites belonging to the glycoalkaloid, anthocyanin, and polyamine classes and showing a differential accumulation in the two parental lines and F1 hybrid were identified. Through metabolic profiling of the RILs, we identified several metabolomic quantitative trait loci (mQTLs) associated with the accumulation of those metabolites. Each of the metabolic traits proved to be controlled by one or more quantitative trait loci (QTLs); for most of the traits, one major mQTL (phenotypic variation explained [PVE] ≥ 10%) was identified. Data on mQTL mapping and dominance–recessivity relationships of measured compounds in the parental lines and F1 hybrid, as well as an analysis of the candidate genes underlying the QTLs and of their sequence differences in the two parental lines, suggested a series of candidate genes underlying the traits under study.
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spelling pubmed-81662302021-06-01 An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality Sulli, Maria Barchi, Lorenzo Toppino, Laura Diretto, Gianfranco Sala, Tea Lanteri, Sergio Rotino, Giuseppe Leonardo Giuliano, Giovanni Front Plant Sci Plant Science Eggplant (Solanum melongena L.) represents the third most important crop of the Solanaceae family and is an important component of our daily diet. A population of 164 F6 recombinant inbred lines (RILs), derived from two eggplant lines differing with respect to several key agronomic traits, “305E40” and “67/3,” was grown to the commercial maturation stage, and fruits were harvested, separated into peel and flesh, and subjected to liquid chromatography Liquid Chromatography/Mass Spectrometry (LC/MS) analysis. Through a combination of untargeted and targeted metabolomics approaches, a number of metabolites belonging to the glycoalkaloid, anthocyanin, and polyamine classes and showing a differential accumulation in the two parental lines and F1 hybrid were identified. Through metabolic profiling of the RILs, we identified several metabolomic quantitative trait loci (mQTLs) associated with the accumulation of those metabolites. Each of the metabolic traits proved to be controlled by one or more quantitative trait loci (QTLs); for most of the traits, one major mQTL (phenotypic variation explained [PVE] ≥ 10%) was identified. Data on mQTL mapping and dominance–recessivity relationships of measured compounds in the parental lines and F1 hybrid, as well as an analysis of the candidate genes underlying the QTLs and of their sequence differences in the two parental lines, suggested a series of candidate genes underlying the traits under study. Frontiers Media S.A. 2021-05-17 /pmc/articles/PMC8166230/ /pubmed/34079565 http://dx.doi.org/10.3389/fpls.2021.638195 Text en Copyright © 2021 Sulli, Barchi, Toppino, Diretto, Sala, Lanteri, Rotino and Giuliano. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Sulli, Maria
Barchi, Lorenzo
Toppino, Laura
Diretto, Gianfranco
Sala, Tea
Lanteri, Sergio
Rotino, Giuseppe Leonardo
Giuliano, Giovanni
An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality
title An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality
title_full An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality
title_fullStr An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality
title_full_unstemmed An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality
title_short An Eggplant Recombinant Inbred Population Allows the Discovery of Metabolic QTLs Controlling Fruit Nutritional Quality
title_sort eggplant recombinant inbred population allows the discovery of metabolic qtls controlling fruit nutritional quality
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166230/
https://www.ncbi.nlm.nih.gov/pubmed/34079565
http://dx.doi.org/10.3389/fpls.2021.638195
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