Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower
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 charact...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Publicado: |
2016
|
| Materias: | |
| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14677644_v14_n2_p719_Moschen http://hdl.handle.net/20.500.12110/paper_14677644_v14_n2_p719_Moschen |
| Aporte de: |
| id |
paper:paper_14677644_v14_n2_p719_Moschen |
|---|---|
| record_format |
dspace |
| spelling |
paper:paper_14677644_v14_n2_p719_Moschen2023-06-08T16:16:56Z Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower Rivarola, Maximo Lisandro Hopp, Horacio Esteban Fernández, Paula Virginia Heinz, Ruth Amelia Candidate genes Data integration Leaf senescence Metabolomics Sunflower Transcriptomics ion messenger RNA transcription factor DNA microarray gene expression profiling gene expression regulation gene ontology genetics growth, development and aging mass fragmentography metabolism metabolomics plant gene plant leaf principal component analysis procedures sunflower Gas Chromatography-Mass Spectrometry Gene Expression Profiling Gene Expression Regulation, Plant Gene Ontology Genes, Plant Helianthus Ions Metabolomics Oligonucleotide Array Sequence Analysis Plant Leaves Principal Component Analysis RNA, Messenger Transcription Factors 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. © 2016 Society for Experimental Biology, Association of Applied Biologists and John Wiley & Sons Ltd. Fil:Rivarola, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Hopp, H.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Fernández, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Heinz, R.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14677644_v14_n2_p719_Moschen http://hdl.handle.net/20.500.12110/paper_14677644_v14_n2_p719_Moschen |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Candidate genes Data integration Leaf senescence Metabolomics Sunflower Transcriptomics ion messenger RNA transcription factor DNA microarray gene expression profiling gene expression regulation gene ontology genetics growth, development and aging mass fragmentography metabolism metabolomics plant gene plant leaf principal component analysis procedures sunflower Gas Chromatography-Mass Spectrometry Gene Expression Profiling Gene Expression Regulation, Plant Gene Ontology Genes, Plant Helianthus Ions Metabolomics Oligonucleotide Array Sequence Analysis Plant Leaves Principal Component Analysis RNA, Messenger Transcription Factors |
| spellingShingle |
Candidate genes Data integration Leaf senescence Metabolomics Sunflower Transcriptomics ion messenger RNA transcription factor DNA microarray gene expression profiling gene expression regulation gene ontology genetics growth, development and aging mass fragmentography metabolism metabolomics plant gene plant leaf principal component analysis procedures sunflower Gas Chromatography-Mass Spectrometry Gene Expression Profiling Gene Expression Regulation, Plant Gene Ontology Genes, Plant Helianthus Ions Metabolomics Oligonucleotide Array Sequence Analysis Plant Leaves Principal Component Analysis RNA, Messenger Transcription Factors Rivarola, Maximo Lisandro Hopp, Horacio Esteban Fernández, Paula Virginia Heinz, Ruth Amelia Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower |
| topic_facet |
Candidate genes Data integration Leaf senescence Metabolomics Sunflower Transcriptomics ion messenger RNA transcription factor DNA microarray gene expression profiling gene expression regulation gene ontology genetics growth, development and aging mass fragmentography metabolism metabolomics plant gene plant leaf principal component analysis procedures sunflower Gas Chromatography-Mass Spectrometry Gene Expression Profiling Gene Expression Regulation, Plant Gene Ontology Genes, Plant Helianthus Ions Metabolomics Oligonucleotide Array Sequence Analysis Plant Leaves Principal Component Analysis RNA, Messenger Transcription Factors |
| 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. © 2016 Society for Experimental Biology, Association of Applied Biologists and John Wiley & Sons Ltd. |
| author |
Rivarola, Maximo Lisandro Hopp, Horacio Esteban Fernández, Paula Virginia Heinz, Ruth Amelia |
| author_facet |
Rivarola, Maximo Lisandro Hopp, Horacio Esteban Fernández, Paula Virginia Heinz, Ruth Amelia |
| author_sort |
Rivarola, Maximo Lisandro |
| title |
Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower |
| 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 |
| publishDate |
2016 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_14677644_v14_n2_p719_Moschen http://hdl.handle.net/20.500.12110/paper_14677644_v14_n2_p719_Moschen |
| work_keys_str_mv |
AT rivarolamaximolisandro integratingtranscriptomicandmetabolomicanalysistounderstandnaturalleafsenescenceinsunflower AT hopphoracioesteban integratingtranscriptomicandmetabolomicanalysistounderstandnaturalleafsenescenceinsunflower AT fernandezpaulavirginia integratingtranscriptomicandmetabolomicanalysistounderstandnaturalleafsenescenceinsunflower AT heinzruthamelia integratingtranscriptomicandmetabolomicanalysistounderstandnaturalleafsenescenceinsunflower |
| _version_ |
1768543387848278016 |