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 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.
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Springer
2019-04
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Subjects: | Tomate, Solanum Lycopersicum, Metabolitos, Frutas, Semillas, Tomatoes, Quantitative Trait Loci, Loci de Rasgos Cuantitativos, Metabolites, Fruit, Seed, |
Online Access: | http://hdl.handle.net/20.500.12123/4655 https://doi.org/10.1007/s11306-019-1503-8 |
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Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed |
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Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed Nunes Nesi, Adriano Alseekh, Saleh Oliveira Silva, Franklin Magnum de Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad Romero González, Roman R. Sabio Y Garcia, Julia Veronica 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 |
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. |
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info:ar-repo/semantics/artículo |
topic_facet |
Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed |
author |
Nunes Nesi, Adriano Alseekh, Saleh Oliveira Silva, Franklin Magnum de Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad Romero González, Roman R. Sabio Y Garcia, Julia Veronica Conte, Mariana Leiss, Kirsten A. Klinkhamer, Peter G. L. Nikoloski, Zoran Carrari, Fernando Fernie, Alisdair R. |
author_facet |
Nunes Nesi, Adriano Alseekh, Saleh Oliveira Silva, Franklin Magnum de Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad Romero González, Roman R. Sabio Y Garcia, Julia Veronica Conte, Mariana Leiss, Kirsten A. Klinkhamer, Peter G. L. Nikoloski, Zoran Carrari, Fernando Fernie, Alisdair R. |
author_sort |
Nunes Nesi, Adriano |
title |
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_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_sort |
identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
publisher |
Springer |
publishDate |
2019-04 |
url |
http://hdl.handle.net/20.500.12123/4655 https://doi.org/10.1007/s11306-019-1503-8 |
work_keys_str_mv |
AT nunesnesiadriano identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT alseekhsaleh identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT oliveirasilvafranklinmagnumde identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT omraniannooshin identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT lichtensteingabriel identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT mirnezhadmohammad identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT romerogonzalezromanr identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT sabioygarciajuliaveronica identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT contemariana identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT leisskirstena identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT klinkhamerpetergl identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT nikoloskizoran identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT carrarifernando identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds AT ferniealisdairr identificationandcharacterizationofmetabolitequantitativetraitlociintomatoleavesandcomparisonwiththosereportedforfruitsandseeds |
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oai:localhost:20.500.12123-46552019-03-19T14:20:38Z 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 Oliveira Silva, Franklin Magnum de Omranian, Nooshin Lichtenstein, Gabriel Mirnezhad, Mohammad Romero González, Roman R. Sabio Y Garcia, Julia Veronica Conte, Mariana Leiss, Kirsten A. Klinkhamer, Peter G. L. Nikoloski, Zoran Carrari, Fernando Fernie, Alisdair R. Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed 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. Instituto de Biotecnología Fil: Nunes Nesi, Adriano. Universidade Federal de Viçosa. Departamento de Biologia Vegetal; Brasil. Max-Planck-Institute of Molecular Plant Physiology; Alemania Fil: Alseekh, Saleh. Max-Planck-Institute of Molecular Plant Physiology; Alemania. Center of Plant System Biology and Biotechnology; Bulgaria Fil: Oliveira Silva, Franklin Magnum de. Universidade Federal de Viçosa. Departamento de Biologia Vegetal; Brasil Fil: Omranian, Nooshin. Max-Planck-Institute of Molecular Plant Physiology; Alemania. Center of Plant System Biology and Biotechnology; Bulgaria Fil: Lichtenstein, Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Mirnezhad, Mohammad. Leiden University. Plant Ecology, Institute of Biology; Holanda Fil: Romero González, Roman R. Leiden University. Plant Ecology, Institute of Biology; Holanda Fil: Sabio Y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Conte, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Leiss, Kirsten A. Leiden University. Plant Ecology, Institute of Biology; Holanda. Wageningen University & Research. Business Unit Horticulture; Holanda Fil: Klinkhamer, Peter G. L. Leiden University. Plant Ecology, Institute of Biology; Holanda Fil: Nikoloski, Zoran. Max-Planck-Institute of Molecular Plant Physiology; Alemania. University of Potsdam. Institute of Biochemistry and Biology. Bioinformatics Group; Alemania Fil: Carrari, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Fernie, Alisdair R. Max-Planck-Institute of Molecular Plant Physiology; Alemania. Center of Plant System Biology and Biotechnology; Bulgaria 2019-03-19T14:16:37Z 2019-03-19T14:16:37Z 2019-04 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/4655 1573-3882 1573-3890 (Online) https://doi.org/10.1007/s11306-019-1503-8 eng info:eu-repo/semantics/openAccess application/pdf Springer Metabolomics 15 : 46. (April 2019) |