Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)

Drought is one of the most important environmental stresses that effects crop productivity in many agricultural regions. Sunflower is tolerant to drought conditions but the mechanisms involved in this tolerance remain unclear at the molecular level. The aim of this study was to characterize and inte...

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Autores principales: Moschen, Sebastian Nicolas, Di Rienzo, Julio A., Higgins, Janet, Tohge, Takayuki, Watanabe, Mutsumi, Gonzalez, Sergio Alberto, Rivarola, Maximo Lisandro, García-García, Francisco, Dopazo, Joaquín, Hopp, Horacio Esteban, Hoefgen, Rainer, Fernie, Alisdair R., Paniego, Norma Beatriz, Fernandez, Paula Del Carmen, Heinz, Ruth Amelia
Formato: Artículo
Lenguaje:Inglés
Publicado: 2018
Materias:
Acceso en línea:http://hdl.handle.net/20.500.12123/1960
https://link.springer.com/article/10.1007/s11103-017-0625-5
https://doi.org/10.1007/s11103-017-0625-5
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author Moschen, Sebastian Nicolas
Di Rienzo, Julio A.
Higgins, Janet
Tohge, Takayuki
Watanabe, Mutsumi
Gonzalez, Sergio Alberto
Rivarola, Maximo Lisandro
García-García, Francisco
Dopazo, Joaquín
Hopp, Horacio Esteban
Hoefgen, Rainer
Fernie, Alisdair R.
Paniego, Norma Beatriz
Fernandez, Paula Del Carmen
Heinz, Ruth Amelia
author_browse Di Rienzo, Julio A.
Dopazo, Joaquín
Fernandez, Paula Del Carmen
Fernie, Alisdair R.
García-García, Francisco
Gonzalez, Sergio Alberto
Heinz, Ruth Amelia
Higgins, Janet
Hoefgen, Rainer
Hopp, Horacio Esteban
Moschen, Sebastian Nicolas
Paniego, Norma Beatriz
Rivarola, Maximo Lisandro
Tohge, Takayuki
Watanabe, Mutsumi
author_facet Moschen, Sebastian Nicolas
Di Rienzo, Julio A.
Higgins, Janet
Tohge, Takayuki
Watanabe, Mutsumi
Gonzalez, Sergio Alberto
Rivarola, Maximo Lisandro
García-García, Francisco
Dopazo, Joaquín
Hopp, Horacio Esteban
Hoefgen, Rainer
Fernie, Alisdair R.
Paniego, Norma Beatriz
Fernandez, Paula Del Carmen
Heinz, Ruth Amelia
author_sort Moschen, Sebastian Nicolas
collection INTA Digital
description Drought is one of the most important environmental stresses that effects crop productivity in many agricultural regions. Sunflower is tolerant to drought conditions but the mechanisms involved in this tolerance remain unclear at the molecular level. The aim of this study was to characterize and integrate transcriptional and metabolic pathways related to drought stress in sunflower plants, by using a system biology approach. Our results showed a delay in plant senescence with an increase in the expression level of photosynthesis related genes as well as higher levels of sugars, osmoprotectant amino acids and ionic nutrients under drought conditions. In addition, we identified transcription factors that were upregulated during drought conditions and that may act as hubs in the transcriptional network. Many of these transcription factors belong to families implicated in the drought response in model species. The integration of transcriptomic and metabolomic data in this study, together with physiological measurements, has improved our understanding of the biological responses during droughts and contributes to elucidate the molecular mechanisms involved under this environmental condition. These findings will provide useful biotechnological tools to improve stress tolerance while maintaining crop yield under restricted water availability.
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spelling INTA19602019-01-23T17:55:49Z Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.) Moschen, Sebastian Nicolas Di Rienzo, Julio A. Higgins, Janet Tohge, Takayuki Watanabe, Mutsumi Gonzalez, Sergio Alberto Rivarola, Maximo Lisandro García-García, Francisco Dopazo, Joaquín Hopp, Horacio Esteban Hoefgen, Rainer Fernie, Alisdair R. Paniego, Norma Beatriz Fernandez, Paula Del Carmen Heinz, Ruth Amelia Helianthus Annuus Metabolismo Genética Sequía Estrés de Sequia Metabolism Genetics Drought Drought Stress Girasol Drought is one of the most important environmental stresses that effects crop productivity in many agricultural regions. Sunflower is tolerant to drought conditions but the mechanisms involved in this tolerance remain unclear at the molecular level. The aim of this study was to characterize and integrate transcriptional and metabolic pathways related to drought stress in sunflower plants, by using a system biology approach. Our results showed a delay in plant senescence with an increase in the expression level of photosynthesis related genes as well as higher levels of sugars, osmoprotectant amino acids and ionic nutrients under drought conditions. In addition, we identified transcription factors that were upregulated during drought conditions and that may act as hubs in the transcriptional network. Many of these transcription factors belong to families implicated in the drought response in model species. The integration of transcriptomic and metabolomic data in this study, together with physiological measurements, has improved our understanding of the biological responses during droughts and contributes to elucidate the molecular mechanisms involved under this environmental condition. These findings will provide useful biotechnological tools to improve stress tolerance while maintaining crop yield under restricted water availability. Instituto de Biotecnología Fil: Moschen, Sebastian Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Di Rienzo, Julio A.Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina Fil: Higgins, Janet. Norwich Research Park. Earlham Institute; Reino Unido Fil: Tohge, Takayuki. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania Fil: Watanabe, Mutsumi Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania 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: 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: 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: Hoefgen, Rainer Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania Fil: Fernie, Alisdair R. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania 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 Del Carmen. 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 2018-03-05T15:34:08Z 2018-03-05T15:34:08Z 2017-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/1960 https://link.springer.com/article/10.1007/s11103-017-0625-5 0167-4412 (Print) 1573-5028 (Online) https://doi.org/10.1007/s11103-017-0625-5 eng info:eu-repo/semantics/restrictedAccess application/pdf Plant molecular biology 94 (4–5) : 549–564. (July 2017)
spellingShingle Helianthus Annuus
Metabolismo
Genética
Sequía
Estrés de Sequia
Metabolism
Genetics
Drought
Drought Stress
Girasol
Moschen, Sebastian Nicolas
Di Rienzo, Julio A.
Higgins, Janet
Tohge, Takayuki
Watanabe, Mutsumi
Gonzalez, Sergio Alberto
Rivarola, Maximo Lisandro
García-García, Francisco
Dopazo, Joaquín
Hopp, Horacio Esteban
Hoefgen, Rainer
Fernie, Alisdair R.
Paniego, Norma Beatriz
Fernandez, Paula Del Carmen
Heinz, Ruth Amelia
Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)
title Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)
title_full Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)
title_fullStr Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)
title_full_unstemmed Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)
title_short Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.)
title_sort integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower helianthus annuus l
topic Helianthus Annuus
Metabolismo
Genética
Sequía
Estrés de Sequia
Metabolism
Genetics
Drought
Drought Stress
Girasol
url http://hdl.handle.net/20.500.12123/1960
https://link.springer.com/article/10.1007/s11103-017-0625-5
https://doi.org/10.1007/s11103-017-0625-5
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