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Nunes Nesi, Adriano  
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Alseekh, Saleh  
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de Oliveira Silva, Franklin Magnum  
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Omranian, Nooshin  
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Lichtenstein, Gabriel  
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Mirnezhad, Mohammad  
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Romero González, Roman R.  
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Sabio y Garcia, Julia Veronica  
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Conte, Mariana  
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Leiss, Kirsten A.  
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Klinkhamer, Peter G. L.  
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Nikoloski, Zoran  
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Carrari, Fernando Oscar  
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Fernie, Alisdair R.  
dc.date.available
2021-06-08T13:03:43Z  
dc.date.issued
2019-04  
dc.identifier.citation
Nunes Nesi, Adriano; Alseekh, Saleh; de Oliveira Silva, Franklin Magnum; Omranian, Nooshin; Lichtenstein, Gabriel; et al.; Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds; Springer; Metabolomics; 15; 4; 4-2019; 1-13  
dc.identifier.issn
1573-3882  
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http://hdl.handle.net/11336/133396  
dc.description.abstract
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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application/pdf  
dc.language.iso
eng  
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Springer  
dc.rights
info:eu-repo/semantics/openAccess  
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https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
LEAF METABOLISM  
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METABOLITE NETWORK  
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METABOLITE QTL  
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TOMATO  
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Bioquímica y Biología Molecular  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds  
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info:eu-repo/semantics/article  
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info:ar-repo/semantics/artículo  
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info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-11-13T20:46:34Z  
dc.journal.volume
15  
dc.journal.number
4  
dc.journal.pagination
1-13  
dc.journal.pais
Alemania  
dc.description.fil
Fil: Nunes Nesi, Adriano. Max Planck Institute Of Molecular Plant Physiology; Alemania. Universidade Federal de Viçosa.; Brasil  
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Fil: Alseekh, Saleh. Center Of Plant Systems Biology And Biotechnology; Bulgaria. Max Planck Institute Of Molecular Plant Physiology; Alemania  
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Fil: de Oliveira Silva, Franklin Magnum. Universidade Federal de Viçosa.; Brasil  
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Fil: Omranian, Nooshin. Max Planck Institute Of Molecular Plant Physiology; Alemania. Center Of Plant Systems Biology And Biotechnology; Bulgaria  
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Fil: Lichtenstein, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; Argentina  
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Fil: Mirnezhad, Mohammad. Leiden University; Países Bajos  
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Fil: Romero González, Roman R.. Leiden University; Países Bajos  
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Fil: Sabio y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias Castelar. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
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Fil: Conte, Mariana. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias Castelar. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina  
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Fil: Leiss, Kirsten A.. Leiden University; Países Bajos  
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Fil: Klinkhamer, Peter G. L.. Leiden University; Países Bajos  
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Fil: Nikoloski, Zoran. University of Potsdam; Alemania. Max Planck Institute of Molecular Plant Physiology; Alemania  
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Fil: Carrari, Fernando Oscar. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias Castelar. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina  
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Fil: Fernie, Alisdair R.. Max Planck Institute of Molecular Plant Physiology; Alemania. Center of Plant System Biology and Biotechnology; Bulgaria  
dc.journal.title
Metabolomics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11306-019-1503-8  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11306-019-1503-8