Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower

Autores
Moschen, Sebastian; Gonzalez, Sergio Alberto; Rivarola, Maximo Lisandro; Hopp, Horacio Esteban; Paniego, Norma Beatriz; Fernandez, Paula del Carmen; Heinz, Ruth Amelia; Bengoa Luoni, Sofia Ailin; Di Rienzo, Julio A.; Caro, María del Pilar; Tohge, Takayuki; Watanabe, Mutsumi; Hollmann, Julien; García-García, Francisco; Dopazo, Joaquín; Hoefgen, Rainer; Fernie, Alisdair R.
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Leaf senescence is a complex process, which has dramatic consequences on crop yield. In sunflower, gap between potential and actual yields reveals the economic impact of senescence. Indeed, sunflower plants are incapable of maintaining their green leaf area over sustained periods. This study characterizes the leaf senescence process in sunflower through a systems biology approach integrating transcriptomic and metabolomic analyses: plants being grown under both glasshouse and field conditions. Our results revealed a correspondence between profile changes detected at the molecular, biochemical and physiological level throughout the progression of leaf senescence measured at different plant developmental stages. Early metabolic changes were detected prior to anthesis and before the onset of the first senescence symptoms, with more pronounced changes observed when physiological and molecular variables were assessed under field conditions. During leaf development, photosynthetic activity and cell growth processes decreased, whereas sucrose, fatty acid, nucleotide and amino acid metabolisms increased. Pathways related to nutrient recycling processes were also up-regulated. Members of the NAC, AP2-EREBP, HB, bZIP and MYB transcription factor families showed high expression levels, and their expression level was highly correlated, suggesting their involvement in sunflower senescence. The results of this study thus contribute to the elucidation of the molecular mechanisms involved in the onset and progression of leaf senescence in sunflower leaves as well as to the identification of candidate genes involved in this process.
Inst. de Biotecnología
Fil: Moschen, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gonzalez, Sergio Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Bengoa Luoni, Sofía. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina
Fil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Caro, María del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán; Argentina
Fil: Tohge, Takayuki. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
Fil: Watanabe, Mutsumi Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
Fil: Hollmann, Julien. University of Kiel. Institute of Botany, Christian-Albrechts; Alemania
Fil: García-García, Francisco. Centro de Investigación Príncipe Felipe. Department of Bioinformatics and Genomics; España. Centro de Investigación Príncipe Felipe . National Institute of Bioinformatics. Functional Genomics Node; España
Fil: Dopazo, Joaquín. Centro de Investigación Príncipe Felipe. Department of Bioinformatics and Genomics; España. Centro de Investigación Príncipe Felipe . National Institute of Bioinformatics. Functional Genomics Node; España
Fil: Hoefgen, Rainer Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
Fil: Fernie, Alisdair R. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
Fuente
Plant biotechnology journal, 14 (2) : 719-734. (2016 Feb)
Materia
Genética
Girasol
Fitomejoramiento
Sunflower
Genetics
Plant Breeding
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflowerMoschen, SebastianGonzalez, Sergio AlbertoRivarola, Maximo LisandroHopp, Horacio EstebanPaniego, Norma BeatrizFernandez, Paula del CarmenHeinz, Ruth AmeliaBengoa Luoni, Sofia AilinDi Rienzo, Julio A.Caro, María del PilarTohge, TakayukiWatanabe, MutsumiHollmann, JulienGarcía-García, FranciscoDopazo, JoaquínHoefgen, RainerFernie, Alisdair R.GenéticaGirasolFitomejoramientoSunflowerGeneticsPlant BreedingLeaf senescence is a complex process, which has dramatic consequences on crop yield. In sunflower, gap between potential and actual yields reveals the economic impact of senescence. Indeed, sunflower plants are incapable of maintaining their green leaf area over sustained periods. This study characterizes the leaf senescence process in sunflower through a systems biology approach integrating transcriptomic and metabolomic analyses: plants being grown under both glasshouse and field conditions. Our results revealed a correspondence between profile changes detected at the molecular, biochemical and physiological level throughout the progression of leaf senescence measured at different plant developmental stages. Early metabolic changes were detected prior to anthesis and before the onset of the first senescence symptoms, with more pronounced changes observed when physiological and molecular variables were assessed under field conditions. During leaf development, photosynthetic activity and cell growth processes decreased, whereas sucrose, fatty acid, nucleotide and amino acid metabolisms increased. Pathways related to nutrient recycling processes were also up-regulated. Members of the NAC, AP2-EREBP, HB, bZIP and MYB transcription factor families showed high expression levels, and their expression level was highly correlated, suggesting their involvement in sunflower senescence. The results of this study thus contribute to the elucidation of the molecular mechanisms involved in the onset and progression of leaf senescence in sunflower leaves as well as to the identification of candidate genes involved in this process.Inst. de BiotecnologíaFil: Moschen, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gonzalez, Sergio Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fernandez, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; ArgentinaFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Bengoa Luoni, Sofía. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; ArgentinaFil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Caro, María del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán; ArgentinaFil: Tohge, Takayuki. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; AlemaniaFil: Watanabe, Mutsumi Max-Planck-Institut fur Molekulare Pflanzenphysiologie; AlemaniaFil: Hollmann, Julien. University of Kiel. Institute of Botany, Christian-Albrechts; AlemaniaFil: García-García, Francisco. Centro de Investigación Príncipe Felipe. Department of Bioinformatics and Genomics; España. Centro de Investigación Príncipe Felipe . National Institute of Bioinformatics. Functional Genomics Node; EspañaFil: Dopazo, Joaquín. Centro de Investigación Príncipe Felipe. Department of Bioinformatics and Genomics; España. Centro de Investigación Príncipe Felipe . National Institute of Bioinformatics. Functional Genomics Node; EspañaFil: Hoefgen, Rainer Max-Planck-Institut fur Molekulare Pflanzenphysiologie; AlemaniaFil: Fernie, Alisdair R. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania2017-03-29T15:45:08Z2017-03-29T15:45:08Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://onlinelibrary.wiley.com/doi/10.1111/pbi.12422/epdfhttp://hdl.handle.net/20.500.12123/113https://doi.org/10.1111/pbi.12422Plant biotechnology journal, 14 (2) : 719-734. (2016 Feb)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)2025-10-23T11:16:16Zoai:localhost:20.500.12123/113instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:16:16.828INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
title Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
spellingShingle Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
Moschen, Sebastian
Genética
Girasol
Fitomejoramiento
Sunflower
Genetics
Plant Breeding
title_short Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
title_full Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
title_fullStr Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
title_full_unstemmed Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
title_sort Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
dc.creator.none.fl_str_mv Moschen, Sebastian
Gonzalez, Sergio Alberto
Rivarola, Maximo Lisandro
Hopp, Horacio Esteban
Paniego, Norma Beatriz
Fernandez, Paula del Carmen
Heinz, Ruth Amelia
Bengoa Luoni, Sofia Ailin
Di Rienzo, Julio A.
Caro, María del Pilar
Tohge, Takayuki
Watanabe, Mutsumi
Hollmann, Julien
García-García, Francisco
Dopazo, Joaquín
Hoefgen, Rainer
Fernie, Alisdair R.
author Moschen, Sebastian
author_facet Moschen, Sebastian
Gonzalez, Sergio Alberto
Rivarola, Maximo Lisandro
Hopp, Horacio Esteban
Paniego, Norma Beatriz
Fernandez, Paula del Carmen
Heinz, Ruth Amelia
Bengoa Luoni, Sofia Ailin
Di Rienzo, Julio A.
Caro, María del Pilar
Tohge, Takayuki
Watanabe, Mutsumi
Hollmann, Julien
García-García, Francisco
Dopazo, Joaquín
Hoefgen, Rainer
Fernie, Alisdair R.
author_role author
author2 Gonzalez, Sergio Alberto
Rivarola, Maximo Lisandro
Hopp, Horacio Esteban
Paniego, Norma Beatriz
Fernandez, Paula del Carmen
Heinz, Ruth Amelia
Bengoa Luoni, Sofia Ailin
Di Rienzo, Julio A.
Caro, María del Pilar
Tohge, Takayuki
Watanabe, Mutsumi
Hollmann, Julien
García-García, Francisco
Dopazo, Joaquín
Hoefgen, Rainer
Fernie, Alisdair R.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Genética
Girasol
Fitomejoramiento
Sunflower
Genetics
Plant Breeding
topic Genética
Girasol
Fitomejoramiento
Sunflower
Genetics
Plant Breeding
dc.description.none.fl_txt_mv Leaf senescence is a complex process, which has dramatic consequences on crop yield. In sunflower, gap between potential and actual yields reveals the economic impact of senescence. Indeed, sunflower plants are incapable of maintaining their green leaf area over sustained periods. This study characterizes the leaf senescence process in sunflower through a systems biology approach integrating transcriptomic and metabolomic analyses: plants being grown under both glasshouse and field conditions. Our results revealed a correspondence between profile changes detected at the molecular, biochemical and physiological level throughout the progression of leaf senescence measured at different plant developmental stages. Early metabolic changes were detected prior to anthesis and before the onset of the first senescence symptoms, with more pronounced changes observed when physiological and molecular variables were assessed under field conditions. During leaf development, photosynthetic activity and cell growth processes decreased, whereas sucrose, fatty acid, nucleotide and amino acid metabolisms increased. Pathways related to nutrient recycling processes were also up-regulated. Members of the NAC, AP2-EREBP, HB, bZIP and MYB transcription factor families showed high expression levels, and their expression level was highly correlated, suggesting their involvement in sunflower senescence. The results of this study thus contribute to the elucidation of the molecular mechanisms involved in the onset and progression of leaf senescence in sunflower leaves as well as to the identification of candidate genes involved in this process.
Inst. de Biotecnología
Fil: Moschen, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gonzalez, Sergio Alberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rivarola, Maximo Lisandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Bengoa Luoni, Sofía. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina
Fil: Di Rienzo, Julio A. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Caro, María del Pilar. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto Superior de Investigaciones Biológicas; Argentina. Universidad Nacional de Tucumán; Argentina
Fil: Tohge, Takayuki. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
Fil: Watanabe, Mutsumi Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
Fil: Hollmann, Julien. University of Kiel. Institute of Botany, Christian-Albrechts; Alemania
Fil: García-García, Francisco. Centro de Investigación Príncipe Felipe. Department of Bioinformatics and Genomics; España. Centro de Investigación Príncipe Felipe . National Institute of Bioinformatics. Functional Genomics Node; España
Fil: Dopazo, Joaquín. Centro de Investigación Príncipe Felipe. Department of Bioinformatics and Genomics; España. Centro de Investigación Príncipe Felipe . National Institute of Bioinformatics. Functional Genomics Node; España
Fil: Hoefgen, Rainer Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
Fil: Fernie, Alisdair R. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania
description Leaf senescence is a complex process, which has dramatic consequences on crop yield. In sunflower, gap between potential and actual yields reveals the economic impact of senescence. Indeed, sunflower plants are incapable of maintaining their green leaf area over sustained periods. This study characterizes the leaf senescence process in sunflower through a systems biology approach integrating transcriptomic and metabolomic analyses: plants being grown under both glasshouse and field conditions. Our results revealed a correspondence between profile changes detected at the molecular, biochemical and physiological level throughout the progression of leaf senescence measured at different plant developmental stages. Early metabolic changes were detected prior to anthesis and before the onset of the first senescence symptoms, with more pronounced changes observed when physiological and molecular variables were assessed under field conditions. During leaf development, photosynthetic activity and cell growth processes decreased, whereas sucrose, fatty acid, nucleotide and amino acid metabolisms increased. Pathways related to nutrient recycling processes were also up-regulated. Members of the NAC, AP2-EREBP, HB, bZIP and MYB transcription factor families showed high expression levels, and their expression level was highly correlated, suggesting their involvement in sunflower senescence. The results of this study thus contribute to the elucidation of the molecular mechanisms involved in the onset and progression of leaf senescence in sunflower leaves as well as to the identification of candidate genes involved in this process.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-03-29T15:45:08Z
2017-03-29T15:45:08Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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info:ar-repo/semantics/articulo
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dc.identifier.none.fl_str_mv http://onlinelibrary.wiley.com/doi/10.1111/pbi.12422/epdf
http://hdl.handle.net/20.500.12123/113
https://doi.org/10.1111/pbi.12422
url http://onlinelibrary.wiley.com/doi/10.1111/pbi.12422/epdf
http://hdl.handle.net/20.500.12123/113
https://doi.org/10.1111/pbi.12422
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Plant biotechnology journal, 14 (2) : 719-734. (2016 Feb)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
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