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Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds
INTRODUCTION: To 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. OBJECTIVE: This study was conducted to identify leaf m...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420416/ https://www.ncbi.nlm.nih.gov/pubmed/30874962 http://dx.doi.org/10.1007/s11306-019-1503-8 |
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author | Nunes-Nesi, Adriano Alseekh, Saleh de Oliveira Silva, Franklin Magnum Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad González, Roman R. Romero Sabio y Garcia, Julia Conte, Mariana Leiss, Kirsten A. Klinkhamer, Peter G. L. Nikoloski, Zoran Carrari, Fernando Fernie, Alisdair R. |
author_facet | Nunes-Nesi, Adriano Alseekh, Saleh de Oliveira Silva, Franklin Magnum Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad González, Roman R. Romero Sabio y Garcia, Julia Conte, Mariana Leiss, Kirsten A. Klinkhamer, Peter G. L. Nikoloski, Zoran Carrari, Fernando Fernie, Alisdair R. |
author_sort | Nunes-Nesi, Adriano |
collection | PubMed |
description | INTRODUCTION: To 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. OBJECTIVE: This 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. METHODS: The 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. RESULTS: Changes 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. CONCLUSIONS: Overall, 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-019-1503-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6420416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-64204162019-04-03 Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds Nunes-Nesi, Adriano Alseekh, Saleh de Oliveira Silva, Franklin Magnum Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad González, Roman R. Romero Sabio y Garcia, Julia Conte, Mariana Leiss, Kirsten A. Klinkhamer, Peter G. L. Nikoloski, Zoran Carrari, Fernando Fernie, Alisdair R. Metabolomics Original Article INTRODUCTION: To 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. OBJECTIVE: This 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. METHODS: The 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. RESULTS: Changes 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. CONCLUSIONS: Overall, 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-019-1503-8) contains supplementary material, which is available to authorized users. Springer US 2019-03-15 2019 /pmc/articles/PMC6420416/ /pubmed/30874962 http://dx.doi.org/10.1007/s11306-019-1503-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Nunes-Nesi, Adriano Alseekh, Saleh de Oliveira Silva, Franklin Magnum Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad González, Roman R. Romero Sabio y Garcia, Julia Conte, Mariana Leiss, Kirsten A. Klinkhamer, Peter G. L. Nikoloski, Zoran Carrari, Fernando Fernie, Alisdair R. Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
title | Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
title_full | Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
title_fullStr | Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
title_full_unstemmed | Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
title_short | Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
title_sort | identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420416/ https://www.ncbi.nlm.nih.gov/pubmed/30874962 http://dx.doi.org/10.1007/s11306-019-1503-8 |
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