Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower

Autores
Moschen, Sebastian Nicolas; Higgins, Janet; Di Rienzo, Julio A.; Heinz, Ruth Amelia; Paniego, Norma Beatriz; Fernandez, Paula Del Carmen
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes. Leaf senescence is a complex mechanism controlled by multiple genetic and environmental variables, which has a strong impact on crop yield. Transcription factors (TFs) are key proteins in the regulation of gene expression, regulating different signaling pathways; their function is crucial for triggering and/or regulating different aspects of the leaf senescence process. The study of TF interactions and their integration with metabolic profiles under different developmental conditions, especially for a non-model organism such as sunflower, will open new insights into the details of gene regulation of leaf senescence.
Inst. 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: Higgins, Janet. Genome Analysis Centre, Norwich Research Park; Reino Unido
Fil: Di Rienzo, Julio A.Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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 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
Fuente
BMC Bioinformatics 17 (Suppl 5) :174 (June 2016)
Materia
Genética
Avejentamiento
Hojas
Helianthus Annuus
Genetics
Senescence
Leaves
Girasol
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
oai:localhost:20.500.12123/1122
Acceder
id INTADig_4dfe9761981da536746beb1eb4ad9297
oai_identifier_str oai:localhost:20.500.12123/1122
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflowerMoschen, Sebastian NicolasHiggins, JanetDi Rienzo, Julio A.Heinz, Ruth AmeliaPaniego, Norma BeatrizFernandez, Paula Del CarmenGenéticaAvejentamientoHojasHelianthus AnnuusGeneticsSenescenceLeavesGirasolIn recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes. Leaf senescence is a complex mechanism controlled by multiple genetic and environmental variables, which has a strong impact on crop yield. Transcription factors (TFs) are key proteins in the regulation of gene expression, regulating different signaling pathways; their function is crucial for triggering and/or regulating different aspects of the leaf senescence process. The study of TF interactions and their integration with metabolic profiles under different developmental conditions, especially for a non-model organism such as sunflower, will open new insights into the details of gene regulation of leaf senescence.Inst. de BiotecnologíaFil: Moschen, Sebastian Nicolas. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Higgins, Janet. Genome Analysis Centre, Norwich Research Park; Reino UnidoFil: Di Rienzo, Julio A.Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; ArgentinaFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: 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; Argentina2017-09-05T11:51:18Z2017-09-05T11:51:18Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1122https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1045-2?site=bmcbioinformatics.biomedcentral.com1471-2105 (Online)https://doi.org/10.1186/s12859-016-1045-2BMC Bioinformatics 17 (Suppl 5) :174 (June 2016)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)2025-09-04T09:46:58Zoai:localhost:20.500.12123/1122instacron: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 09:46:59.997INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
title Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
spellingShingle Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
Moschen, Sebastian Nicolas
Genética
Avejentamiento
Hojas
Helianthus Annuus
Genetics
Senescence
Leaves
Girasol
title_short Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
title_full Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
title_fullStr Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
title_full_unstemmed Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
title_sort Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower
dc.creator.none.fl_str_mv Moschen, Sebastian Nicolas
Higgins, Janet
Di Rienzo, Julio A.
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Fernandez, Paula Del Carmen
author Moschen, Sebastian Nicolas
author_facet Moschen, Sebastian Nicolas
Higgins, Janet
Di Rienzo, Julio A.
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Fernandez, Paula Del Carmen
author_role author
author2 Higgins, Janet
Di Rienzo, Julio A.
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Fernandez, Paula Del Carmen
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Genética
Avejentamiento
Hojas
Helianthus Annuus
Genetics
Senescence
Leaves
Girasol
topic Genética
Avejentamiento
Hojas
Helianthus Annuus
Genetics
Senescence
Leaves
Girasol
dc.description.none.fl_txt_mv In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes. Leaf senescence is a complex mechanism controlled by multiple genetic and environmental variables, which has a strong impact on crop yield. Transcription factors (TFs) are key proteins in the regulation of gene expression, regulating different signaling pathways; their function is crucial for triggering and/or regulating different aspects of the leaf senescence process. The study of TF interactions and their integration with metabolic profiles under different developmental conditions, especially for a non-model organism such as sunflower, will open new insights into the details of gene regulation of leaf senescence.
Inst. 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: Higgins, Janet. Genome Analysis Centre, Norwich Research Park; Reino Unido
Fil: Di Rienzo, Julio A.Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias; Argentina
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; 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 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
description In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes. Leaf senescence is a complex mechanism controlled by multiple genetic and environmental variables, which has a strong impact on crop yield. Transcription factors (TFs) are key proteins in the regulation of gene expression, regulating different signaling pathways; their function is crucial for triggering and/or regulating different aspects of the leaf senescence process. The study of TF interactions and their integration with metabolic profiles under different developmental conditions, especially for a non-model organism such as sunflower, will open new insights into the details of gene regulation of leaf senescence.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-09-05T11:51:18Z
2017-09-05T11:51:18Z
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://hdl.handle.net/20.500.12123/1122
https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1045-2?site=bmcbioinformatics.biomedcentral.com
1471-2105 (Online)
https://doi.org/10.1186/s12859-016-1045-2
url http://hdl.handle.net/20.500.12123/1122
https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-016-1045-2?site=bmcbioinformatics.biomedcentral.com
https://doi.org/10.1186/s12859-016-1045-2
identifier_str_mv 1471-2105 (Online)
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)
eu_rights_str_mv openAccess
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)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv BMC Bioinformatics 17 (Suppl 5) :174 (June 2016)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1842341349740773376
score 12.623145

Publicaciones similares