Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes
Plant viral infections induce changes including gene expression and metabolic components. Identification of metabolites and microRNAs (miRNAs) differing in abundance along infection may provide a broad view of the pathways involved in signaling and defense that orchestrate and execute the response...
| Main Authors: | , , , , , , , , , |
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/2168 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236191/ |
| _version_ | 1855034915926573056 |
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| author | Bazzini, Ariel Alejandro Manacorda, Carlos Augusto Tohge, Takayuki Conti, Gabriela Rodriguez, Maria Cecilia Nunes Nesi, Adriano Villanueva, Sofía Fernie, Alisdair R. Carrari, Fernando Asurmendi, Sebastian |
| author_browse | Asurmendi, Sebastian Bazzini, Ariel Alejandro Carrari, Fernando Conti, Gabriela Fernie, Alisdair R. Manacorda, Carlos Augusto Nunes Nesi, Adriano Rodriguez, Maria Cecilia Tohge, Takayuki Villanueva, Sofía |
| author_facet | Bazzini, Ariel Alejandro Manacorda, Carlos Augusto Tohge, Takayuki Conti, Gabriela Rodriguez, Maria Cecilia Nunes Nesi, Adriano Villanueva, Sofía Fernie, Alisdair R. Carrari, Fernando Asurmendi, Sebastian |
| author_sort | Bazzini, Ariel Alejandro |
| collection | INTA Digital |
| description | Plant viral infections induce changes including gene expression and metabolic components. Identification of metabolites
and microRNAs (miRNAs) differing in abundance along infection may provide a broad view of the pathways involved in
signaling and defense that orchestrate and execute the response in plant-pathogen interactions. We used a systemic
approach by applying both liquid and gas chromatography coupled to mass spectrometry to determine the relative level of
metabolites across the viral infection, together with a miRs profiling using a micro-array based procedure. Systemic changes
in metabolites were characterized by a biphasic response after infection. The first phase, detected at one dpi, evidenced the
action of a systemic signal since no virus was detected systemically. Several of the metabolites increased at this stage were
hormone-related. miRs profiling after infection also revealed a biphasic alteration, showing miRs alteration at 5 dpi where
no virus was detected systemically and a late phase correlating with virus accumulation. Correlation analyses revealed a
massive increase in the density of correlation networks after infection indicating a complex reprogramming of the
regulatory pathways, either in response to the plant defense mechanism or to the virus infection itself. Our data propose the
involvement of a systemic signaling on early miRs alteration. |
| format | info:ar-repo/semantics/artículo |
| id | INTA2168 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA21682019-01-24T17:23:51Z Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes Bazzini, Ariel Alejandro Manacorda, Carlos Augusto Tohge, Takayuki Conti, Gabriela Rodriguez, Maria Cecilia Nunes Nesi, Adriano Villanueva, Sofía Fernie, Alisdair R. Carrari, Fernando Asurmendi, Sebastian RNA Metabolismo Virus de las Plantas Nicotiana Tabacum Tabaco Cromatografía Gas-líquido Espectrometría de Masas Mass Spectrometry Gas Liquid Chromatography Tobacco Plant Viruses Virus del Mosaico del Tabaco miRNA Plant viral infections induce changes including gene expression and metabolic components. Identification of metabolites and microRNAs (miRNAs) differing in abundance along infection may provide a broad view of the pathways involved in signaling and defense that orchestrate and execute the response in plant-pathogen interactions. We used a systemic approach by applying both liquid and gas chromatography coupled to mass spectrometry to determine the relative level of metabolites across the viral infection, together with a miRs profiling using a micro-array based procedure. Systemic changes in metabolites were characterized by a biphasic response after infection. The first phase, detected at one dpi, evidenced the action of a systemic signal since no virus was detected systemically. Several of the metabolites increased at this stage were hormone-related. miRs profiling after infection also revealed a biphasic alteration, showing miRs alteration at 5 dpi where no virus was detected systemically and a late phase correlating with virus accumulation. Correlation analyses revealed a massive increase in the density of correlation networks after infection indicating a complex reprogramming of the regulatory pathways, either in response to the plant defense mechanism or to the virus infection itself. Our data propose the involvement of a systemic signaling on early miRs alteration. Fil: Bazzini, Ariel Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Manacorda, Carlos Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Tohge, Takayuki. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania Fil: Conti, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Rodriguez, Maria Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Nunes Nesi, Adriano. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania Fil: Villanueva, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina Fil: Fernie, Alisdair R. Max-Planck-Institut fur Molekulare Pflanzenphysiologie; Alemania Fil: Carrari, Fernando. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Asurmendi, Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina 2018-04-04T18:21:36Z 2018-04-04T18:21:36Z 2011-12-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/2168 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236191/ 1932-6203 eng 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) application/pdf PLoS ONE 6 (12) :e28466. (December 2011) |
| spellingShingle | RNA Metabolismo Virus de las Plantas Nicotiana Tabacum Tabaco Cromatografía Gas-líquido Espectrometría de Masas Mass Spectrometry Gas Liquid Chromatography Tobacco Plant Viruses Virus del Mosaico del Tabaco miRNA Bazzini, Ariel Alejandro Manacorda, Carlos Augusto Tohge, Takayuki Conti, Gabriela Rodriguez, Maria Cecilia Nunes Nesi, Adriano Villanueva, Sofía Fernie, Alisdair R. Carrari, Fernando Asurmendi, Sebastian Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes |
| title | Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes |
| title_full | Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes |
| title_fullStr | Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes |
| title_full_unstemmed | Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes |
| title_short | Metabolic and miRNA profiling of TMV infected plants reveals biphasic temporal changes |
| title_sort | metabolic and mirna profiling of tmv infected plants reveals biphasic temporal changes |
| topic | RNA Metabolismo Virus de las Plantas Nicotiana Tabacum Tabaco Cromatografía Gas-líquido Espectrometría de Masas Mass Spectrometry Gas Liquid Chromatography Tobacco Plant Viruses Virus del Mosaico del Tabaco miRNA |
| url | http://hdl.handle.net/20.500.12123/2168 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236191/ |
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