The genetic architecture of photosynthesis and plant growthrelated traits in tomato
- Autores
- Oliveira Silva, Franklin Magnum de; Lichtenstein, Gabriel; Alseekh, Saleh; Rosado‐Souza, Laise; Conte, Mariana; Fuentes Suguiyama, Vanessa; Lira, Bruno Silvestre; Fanourakis, Dimitrios; Usadel, Björn; Lopes Bhering, Leonardo; DaMatta, Fábio M.; Sulpice, Ronan; Araújo, Wagner L.; Rossi, Magdalena; de Setta, Nathalia; Fernie, Alisdair R.; Carrari, Fernando; Nunes Nesi, Adriano
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement.
Instituto de Biotecnología
Fil: Oliveira Silva, Franklin Magnum de. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; Brasil
Fil: Lichtenstein, Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Lichtenstein, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alseekh, Saleh. Max Planck Institute of Molecular Plant Physiology. Department of Molecular Physiology; Alemania
Fil: Rosado‐Souza, Laise. Max Planck Institute of Molecular Plant Physiology; Alemania
Fil: Conte, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Conte, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fuentes Suguiyama, Vanessa. Universidade Federal do ABC; Brasil
Fil: Lira, Bruno Silvestre. Universidade de São Pablo. Instituto de Biociencias. Departamento de Botânica; Brasil
Fil: Fanourakis, Dimitrios. Department of Viticulture, Floriculture, Vegetable Crops and Plant Protection; Grecia
Fil: Usadel, Björn. Rheinisch-Westfälische Technische Hochschule Aachen University. Institute for Botany and Molecular Genetics (IBMG). Institute for Biology I; Alemania
Fil: Usadel, Björn. Forschungszentrum Jülich. Institut für Bio- und Geowissenschaften 2 (IBG-2); Alemania
Fil: Lopes Bhering, Leonardo. Universidade Federal de Viçosa. Departamento de Biologia Geral; Brasil
Fil: DaMatta, Fábio M. Universidade Federal de Viçosa. Departamento de Biologia Vegetal; Brasil
Fil: Sulpice, Ronan. National University of Ireland Galway. Plant & Agribiosiences. Plant and AgriBiosciences Research Centre. Plant Systems Biology Lab; Irlanda
Fil: Araújo, Wagner L. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; Brasil
Fil: Rossi, Magdalena. Universidade de São Pablo. Instituto de Biociencias. Departamento de Botânica; Brasil
Fil: de Setta, Nathalia. Universidade Federal do ABC; Brasil
Fil: Fernie, Alisdair R. Max Planck Institute of Molecular Plant Physiology. Department of Molecular Physiology; Alemania
Fil: Carrari, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Carrari, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina
Fil: Nunes Nesi, Adriano. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; Brasil - Fuente
- Plant, Cell and Environment 41 (2) : 327-341 (Febrero 2018)
- Materia
-
Introgression Lines
Metabolism
Quantitative Trait Loci
Plant Biotechnology
Photosynthesis
Plant Growth
Tomatoes
Líneas de Introgresión
Metabolismo
Loci de Rasgos Cuantitativos
Biotecnología Vegetal
Fotosíntesis
Crecimiento de Planta
Tomate
Solanum pennellii - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/12338
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The genetic architecture of photosynthesis and plant growthrelated traits in tomatoOliveira Silva, Franklin Magnum deLichtenstein, GabrielAlseekh, SalehRosado‐Souza, LaiseConte, MarianaFuentes Suguiyama, VanessaLira, Bruno SilvestreFanourakis, DimitriosUsadel, BjörnLopes Bhering, LeonardoDaMatta, Fábio M.Sulpice, RonanAraújo, Wagner L.Rossi, Magdalenade Setta, NathaliaFernie, Alisdair R.Carrari, FernandoNunes Nesi, AdrianoIntrogression LinesMetabolismQuantitative Trait LociPlant BiotechnologyPhotosynthesisPlant GrowthTomatoesLíneas de IntrogresiónMetabolismoLoci de Rasgos CuantitativosBiotecnología VegetalFotosíntesisCrecimiento de PlantaTomateSolanum pennelliiTo identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement.Instituto de BiotecnologíaFil: Oliveira Silva, Franklin Magnum de. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; BrasilFil: Lichtenstein, Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Lichtenstein, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Alseekh, Saleh. Max Planck Institute of Molecular Plant Physiology. Department of Molecular Physiology; AlemaniaFil: Rosado‐Souza, Laise. Max Planck Institute of Molecular Plant Physiology; AlemaniaFil: Conte, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Conte, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fuentes Suguiyama, Vanessa. Universidade Federal do ABC; BrasilFil: Lira, Bruno Silvestre. Universidade de São Pablo. Instituto de Biociencias. Departamento de Botânica; BrasilFil: Fanourakis, Dimitrios. Department of Viticulture, Floriculture, Vegetable Crops and Plant Protection; GreciaFil: Usadel, Björn. Rheinisch-Westfälische Technische Hochschule Aachen University. Institute for Botany and Molecular Genetics (IBMG). Institute for Biology I; AlemaniaFil: Usadel, Björn. Forschungszentrum Jülich. Institut für Bio- und Geowissenschaften 2 (IBG-2); AlemaniaFil: Lopes Bhering, Leonardo. Universidade Federal de Viçosa. Departamento de Biologia Geral; BrasilFil: DaMatta, Fábio M. Universidade Federal de Viçosa. Departamento de Biologia Vegetal; BrasilFil: Sulpice, Ronan. National University of Ireland Galway. Plant & Agribiosiences. Plant and AgriBiosciences Research Centre. Plant Systems Biology Lab; IrlandaFil: Araújo, Wagner L. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; BrasilFil: Rossi, Magdalena. Universidade de São Pablo. Instituto de Biociencias. Departamento de Botânica; BrasilFil: de Setta, Nathalia. Universidade Federal do ABC; BrasilFil: Fernie, Alisdair R. Max Planck Institute of Molecular Plant Physiology. Department of Molecular Physiology; AlemaniaFil: Carrari, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Carrari, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología, Biología Molecular y Neurociencias; ArgentinaFil: Nunes Nesi, Adriano. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; BrasilWiley2022-07-18T10:39:07Z2022-07-18T10:39:07Z2018-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/12338https://onlinelibrary.wiley.com/doi/10.1111/pce.130841365-3040https://doi.org/10.1111/pce.13084Plant, Cell and Environment 41 (2) : 327-341 (Febrero 2018)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)2025-09-04T09:49:27Zoai:localhost:20.500.12123/12338instacron: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 09:49:27.739INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| dc.title.none.fl_str_mv |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato |
| title |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato |
| spellingShingle |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato Oliveira Silva, Franklin Magnum de Introgression Lines Metabolism Quantitative Trait Loci Plant Biotechnology Photosynthesis Plant Growth Tomatoes Líneas de Introgresión Metabolismo Loci de Rasgos Cuantitativos Biotecnología Vegetal Fotosíntesis Crecimiento de Planta Tomate Solanum pennellii |
| title_short |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato |
| title_full |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato |
| title_fullStr |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato |
| title_full_unstemmed |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato |
| title_sort |
The genetic architecture of photosynthesis and plant growthrelated traits in tomato |
| dc.creator.none.fl_str_mv |
Oliveira Silva, Franklin Magnum de Lichtenstein, Gabriel Alseekh, Saleh Rosado‐Souza, Laise Conte, Mariana Fuentes Suguiyama, Vanessa Lira, Bruno Silvestre Fanourakis, Dimitrios Usadel, Björn Lopes Bhering, Leonardo DaMatta, Fábio M. Sulpice, Ronan Araújo, Wagner L. Rossi, Magdalena de Setta, Nathalia Fernie, Alisdair R. Carrari, Fernando Nunes Nesi, Adriano |
| author |
Oliveira Silva, Franklin Magnum de |
| author_facet |
Oliveira Silva, Franklin Magnum de Lichtenstein, Gabriel Alseekh, Saleh Rosado‐Souza, Laise Conte, Mariana Fuentes Suguiyama, Vanessa Lira, Bruno Silvestre Fanourakis, Dimitrios Usadel, Björn Lopes Bhering, Leonardo DaMatta, Fábio M. Sulpice, Ronan Araújo, Wagner L. Rossi, Magdalena de Setta, Nathalia Fernie, Alisdair R. Carrari, Fernando Nunes Nesi, Adriano |
| author_role |
author |
| author2 |
Lichtenstein, Gabriel Alseekh, Saleh Rosado‐Souza, Laise Conte, Mariana Fuentes Suguiyama, Vanessa Lira, Bruno Silvestre Fanourakis, Dimitrios Usadel, Björn Lopes Bhering, Leonardo DaMatta, Fábio M. Sulpice, Ronan Araújo, Wagner L. Rossi, Magdalena de Setta, Nathalia Fernie, Alisdair R. Carrari, Fernando Nunes Nesi, Adriano |
| author2_role |
author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Introgression Lines Metabolism Quantitative Trait Loci Plant Biotechnology Photosynthesis Plant Growth Tomatoes Líneas de Introgresión Metabolismo Loci de Rasgos Cuantitativos Biotecnología Vegetal Fotosíntesis Crecimiento de Planta Tomate Solanum pennellii |
| topic |
Introgression Lines Metabolism Quantitative Trait Loci Plant Biotechnology Photosynthesis Plant Growth Tomatoes Líneas de Introgresión Metabolismo Loci de Rasgos Cuantitativos Biotecnología Vegetal Fotosíntesis Crecimiento de Planta Tomate Solanum pennellii |
| dc.description.none.fl_txt_mv |
To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement. Instituto de Biotecnología Fil: Oliveira Silva, Franklin Magnum de. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; Brasil Fil: Lichtenstein, Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Lichtenstein, Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Alseekh, Saleh. Max Planck Institute of Molecular Plant Physiology. Department of Molecular Physiology; Alemania Fil: Rosado‐Souza, Laise. Max Planck Institute of Molecular Plant Physiology; Alemania Fil: Conte, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Conte, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Fuentes Suguiyama, Vanessa. Universidade Federal do ABC; Brasil Fil: Lira, Bruno Silvestre. Universidade de São Pablo. Instituto de Biociencias. Departamento de Botânica; Brasil Fil: Fanourakis, Dimitrios. Department of Viticulture, Floriculture, Vegetable Crops and Plant Protection; Grecia Fil: Usadel, Björn. Rheinisch-Westfälische Technische Hochschule Aachen University. Institute for Botany and Molecular Genetics (IBMG). Institute for Biology I; Alemania Fil: Usadel, Björn. Forschungszentrum Jülich. Institut für Bio- und Geowissenschaften 2 (IBG-2); Alemania Fil: Lopes Bhering, Leonardo. Universidade Federal de Viçosa. Departamento de Biologia Geral; Brasil Fil: DaMatta, Fábio M. Universidade Federal de Viçosa. Departamento de Biologia Vegetal; Brasil Fil: Sulpice, Ronan. National University of Ireland Galway. Plant & Agribiosiences. Plant and AgriBiosciences Research Centre. Plant Systems Biology Lab; Irlanda Fil: Araújo, Wagner L. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; Brasil Fil: Rossi, Magdalena. Universidade de São Pablo. Instituto de Biociencias. Departamento de Botânica; Brasil Fil: de Setta, Nathalia. Universidade Federal do ABC; Brasil Fil: Fernie, Alisdair R. Max Planck Institute of Molecular Plant Physiology. Department of Molecular Physiology; Alemania Fil: Carrari, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Carrari, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina Fil: Nunes Nesi, Adriano. Universidade Federal de Viçosa. Departamento de Biologia Vegetal. Max‐Planck Partner Group; Brasil |
| description |
To identify genomic regions involved in the regulation of fundamental physiological processes such as photosynthesis and respiration, a population of Solanum pennellii introgression lines was analyzed. We determined phenotypes for physiological, metabolic, and growth related traits, including gas exchange and chlorophyll fluorescence parameters. Data analysis allowed the identification of 208 physiological and metabolic quantitative trait loci with 33 of these being associated to smaller intervals of the genomic regions, termed BINs. Eight BINs were identified that were associated with higher assimilation rates than the recurrent parent M82. Two and 10 genomic regions were related to shoot and root dry matter accumulation, respectively. Nine genomic regions were associated with starch levels, whereas 12 BINs were associated with the levels of other metabolites. Additionally, a comprehensive and detailed annotation of the genomic regions spanning these quantitative trait loci allowed us to identify 87 candidate genes that putatively control the investigated traits. We confirmed 8 of these at the level of variance in gene expression. Taken together, our results allowed the identification of candidate genes that most likely regulate photosynthesis, primary metabolism, and plant growth and as such provide new avenues for crop improvement. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018-02 2022-07-18T10:39:07Z 2022-07-18T10:39:07Z |
| 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 |
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http://hdl.handle.net/20.500.12123/12338 https://onlinelibrary.wiley.com/doi/10.1111/pce.13084 1365-3040 https://doi.org/10.1111/pce.13084 |
| url |
http://hdl.handle.net/20.500.12123/12338 https://onlinelibrary.wiley.com/doi/10.1111/pce.13084 https://doi.org/10.1111/pce.13084 |
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1365-3040 |
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eng |
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eng |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
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Wiley |
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Wiley |
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Plant, Cell and Environment 41 (2) : 327-341 (Febrero 2018) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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