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...
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2019
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15733882_v15_n4_p_NunesNesi http://hdl.handle.net/20.500.12110/paper_15733882_v15_n4_p_NunesNesi |
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paper:paper_15733882_v15_n4_p_NunesNesi2023-06-08T16:24:50Z Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds Leaf metabolism Metabolite network Metabolite QTL Tomato alanine aspartic acid fructose glucose glutamic acid glyceric acid glycine isoleucine leucine nitrogen proline psicose serine sucrose tyrosine allele amino acid analysis Article biotic stress electron transport gas chromatography gene expression gene location genetic background genetic variation genotype harvest index mass fragmentography metabolite metabolomics nonhuman phenotype photosynthesis plant gene plant growth plant leaf quantitative trait locus time of flight mass spectrometry tomato 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. © 2019, The Author(s). 2019 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15733882_v15_n4_p_NunesNesi http://hdl.handle.net/20.500.12110/paper_15733882_v15_n4_p_NunesNesi |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Leaf metabolism Metabolite network Metabolite QTL Tomato alanine aspartic acid fructose glucose glutamic acid glyceric acid glycine isoleucine leucine nitrogen proline psicose serine sucrose tyrosine allele amino acid analysis Article biotic stress electron transport gas chromatography gene expression gene location genetic background genetic variation genotype harvest index mass fragmentography metabolite metabolomics nonhuman phenotype photosynthesis plant gene plant growth plant leaf quantitative trait locus time of flight mass spectrometry tomato |
| spellingShingle |
Leaf metabolism Metabolite network Metabolite QTL Tomato alanine aspartic acid fructose glucose glutamic acid glyceric acid glycine isoleucine leucine nitrogen proline psicose serine sucrose tyrosine allele amino acid analysis Article biotic stress electron transport gas chromatography gene expression gene location genetic background genetic variation genotype harvest index mass fragmentography metabolite metabolomics nonhuman phenotype photosynthesis plant gene plant growth plant leaf quantitative trait locus time of flight mass spectrometry tomato Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds |
| topic_facet |
Leaf metabolism Metabolite network Metabolite QTL Tomato alanine aspartic acid fructose glucose glutamic acid glyceric acid glycine isoleucine leucine nitrogen proline psicose serine sucrose tyrosine allele amino acid analysis Article biotic stress electron transport gas chromatography gene expression gene location genetic background genetic variation genotype harvest index mass fragmentography metabolite metabolomics nonhuman phenotype photosynthesis plant gene plant growth plant leaf quantitative trait locus time of flight mass spectrometry tomato |
| 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. © 2019, The Author(s). |
| 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 |
| publishDate |
2019 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15733882_v15_n4_p_NunesNesi http://hdl.handle.net/20.500.12110/paper_15733882_v15_n4_p_NunesNesi |
| _version_ |
1768546177930756096 |