Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds
- Autores
- 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.
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 - Fuente
- Metabolomics 15 : 46. (April 2019)
- Materia
-
Tomate
Solanum Lycopersicum
Metabolitos
Frutas
Semillas
Tomatoes
Quantitative Trait Loci
Loci de Rasgos Cuantitativos
Metabolites
Fruit
Seed - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/4655
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Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seedsNunes Nesi, AdrianoAlseekh, SalehOliveira Silva, Franklin Magnum deOmranian, NooshinLichtenstein, GabrielMirnezhad, MohammadRomero González, Roman R.Sabio Y Garcia, Julia VeronicaConte, MarianaLeiss, Kirsten A.Klinkhamer, Peter G. L.Nikoloski, ZoranCarrari, FernandoFernie, Alisdair R.TomateSolanum LycopersicumMetabolitosFrutasSemillasTomatoesQuantitative Trait LociLoci de Rasgos CuantitativosMetabolitesFruitSeedIntroduction: 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 BiotecnologíaFil: Nunes Nesi, Adriano. Universidade Federal de Viçosa. Departamento de Biologia Vegetal; Brasil. Max-Planck-Institute of Molecular Plant Physiology; AlemaniaFil: Alseekh, Saleh. Max-Planck-Institute of Molecular Plant Physiology; Alemania. Center of Plant System Biology and Biotechnology; BulgariaFil: Oliveira Silva, Franklin Magnum de. Universidade Federal de Viçosa. Departamento de Biologia Vegetal; BrasilFil: Omranian, Nooshin. Max-Planck-Institute of Molecular Plant Physiology; Alemania. Center of Plant System Biology and Biotechnology; BulgariaFil: Lichtenstein, Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Mirnezhad, Mohammad. Leiden University. Plant Ecology, Institute of Biology; HolandaFil: Romero González, Roman R. Leiden University. Plant Ecology, Institute of Biology; HolandaFil: Sabio Y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Conte, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Leiss, Kirsten A. Leiden University. Plant Ecology, Institute of Biology; Holanda. Wageningen University & Research. Business Unit Horticulture; HolandaFil: Klinkhamer, Peter G. L. Leiden University. Plant Ecology, Institute of Biology; HolandaFil: Nikoloski, Zoran. Max-Planck-Institute of Molecular Plant Physiology; Alemania. University of Potsdam. Institute of Biochemistry and Biology. Bioinformatics Group; AlemaniaFil: Carrari, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Fernie, Alisdair R. Max-Planck-Institute of Molecular Plant Physiology; Alemania. Center of Plant System Biology and Biotechnology; BulgariaSpringer2019-03-19T14:16:37Z2019-03-19T14:16:37Z2019-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/46551573-38821573-3890 (Online)https://doi.org/10.1007/s11306-019-1503-8Metabolomics 15 : 46. (April 2019)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:47:52Zoai:localhost:20.500.12123/4655instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:47:53.359INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds Nunes Nesi, Adriano Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed |
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 |
dc.creator.none.fl_str_mv |
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 |
Nunes Nesi, Adriano |
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_role |
author |
author2 |
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. |
author2_role |
author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed |
topic |
Tomate Solanum Lycopersicum Metabolitos Frutas Semillas Tomatoes Quantitative Trait Loci Loci de Rasgos Cuantitativos Metabolites Fruit Seed |
dc.description.none.fl_txt_mv |
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 |
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. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-03-19T14:16:37Z 2019-03-19T14:16:37Z 2019-04 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/4655 1573-3882 1573-3890 (Online) https://doi.org/10.1007/s11306-019-1503-8 |
url |
http://hdl.handle.net/20.500.12123/4655 https://doi.org/10.1007/s11306-019-1503-8 |
identifier_str_mv |
1573-3882 1573-3890 (Online) |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Metabolomics 15 : 46. (April 2019) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
collection |
INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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