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
Institución: Instituto Nacional de Tecnología Agropecuaria
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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 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://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 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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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)
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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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repository.mail.fl_str_mv	tripaldi.nicolas@inta.gob.ar
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Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower

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