Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses

Recognition of a pathogen by the plant immune system often triggers a form of regulated cell death traditionally known as the hypersensitive response (HR). This type of cell death occurs precisely at the site of pathogen recognition, and it is restricted to a few cells. Extensive research has shed l...

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Autores: Salguero Linares, Jose, Serrano, Irene, Ruiz-Solani, Nerea, Salas Gómez, Marta, Phukan, Ujjal Jyoti, Gonzalez, Victor Manuel, Bernardo Faura, Martí, Valls, Marc, Rengel, David, Coll, Nuria S.
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2022
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositório:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/197294
Acesso em linha:https://hdl.handle.net/2445/197294
Access Level:Acceso aberto
Palavra-chave:Arabidopsis thaliana
Immunitat de les plantes
Plants immunity
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spelling Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analysesSalguero Linares, JoseSerrano, IreneRuiz-Solani, NereaSalas Gómez, MartaPhukan, Ujjal JyotiGonzalez, Victor ManuelBernardo Faura, MartíValls, MarcRengel, DavidColl, Nuria S.Arabidopsis thalianaImmunitat de les plantesArabidopsis thalianaPlants immunityRecognition of a pathogen by the plant immune system often triggers a form of regulated cell death traditionally known as the hypersensitive response (HR). This type of cell death occurs precisely at the site of pathogen recognition, and it is restricted to a few cells. Extensive research has shed light on how plant immune receptors are mechanistically activated. However, two central key questions remain largely unresolved: how does cell death zonation take place, and what are the mechanisms that underpin this phenomenon? Consequently, bona fide transcriptional indicators of HR are lacking, which prevents deeper insight into its mechanisms before cell death becomes macroscopic and precludes early or live observation. In this study, to identify the transcriptional indicators of HR we used the paradigmatic Arabidopsis thaliana-Pseudomonas syringae pathosystem and performed a spatiotemporally resolved gene expression analysis that compared infected cells that will undergo HR upon pathogen recognition with bystander cells that will stay alive and activate immunity. Our data revealed unique and time-dependent differences in the repertoire of differentially expressed genes, expression profiles, and biological processes derived from tissue undergoing HR and that of its surroundings. Furthermore, we generated a pipeline based on concatenated pairwise comparisons between time, zone, and treatment that enabled us to define 13 robust transcriptional HR markers. Among these genes, the promoter of an uncharacterized AAA-ATPase was used to obtain a fluorescent reporter transgenic line that displays a strong spatiotemporally resolved signal specifically in cells that will later undergo pathogen-triggered cell death. This valuable set of genes can be used to define cells that are destined to die upon infection with HR-triggering bacteria, opening new avenues for specific and/or high-throughput techniques to study HR processes at a single-cell level.Oxford University Press2023202320222023info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersion17 p.application/pdfhttps://hdl.handle.net/2445/197294Articles publicats en revistes (Genètica, Microbiologia i Estadística)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1016/j.molp.2022.04.010Molecular Plant, 2022, vol. 15, num. 6, p. 1059-1075https://doi.org/10.1016/j.molp.2022.04.010(c) Salguero Linares, Jose et al., 2022info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1972942026-05-29T05:05:01Z
dc.title.none.fl_str_mv Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
title Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
spellingShingle Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
Salguero Linares, Jose
Arabidopsis thaliana
Immunitat de les plantes
Arabidopsis thaliana
Plants immunity
title_short Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
title_full Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
title_fullStr Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
title_full_unstemmed Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
title_sort Robust transcriptional indicators of immune cell death revealed by spatiotemporal transcriptome analyses
dc.creator.none.fl_str_mv Salguero Linares, Jose
Serrano, Irene
Ruiz-Solani, Nerea
Salas Gómez, Marta
Phukan, Ujjal Jyoti
Gonzalez, Victor Manuel
Bernardo Faura, Martí
Valls, Marc
Rengel, David
Coll, Nuria S.
author Salguero Linares, Jose
author_facet Salguero Linares, Jose
Serrano, Irene
Ruiz-Solani, Nerea
Salas Gómez, Marta
Phukan, Ujjal Jyoti
Gonzalez, Victor Manuel
Bernardo Faura, Martí
Valls, Marc
Rengel, David
Coll, Nuria S.
author_role author
author2 Serrano, Irene
Ruiz-Solani, Nerea
Salas Gómez, Marta
Phukan, Ujjal Jyoti
Gonzalez, Victor Manuel
Bernardo Faura, Martí
Valls, Marc
Rengel, David
Coll, Nuria S.
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Arabidopsis thaliana
Immunitat de les plantes
Arabidopsis thaliana
Plants immunity
topic Arabidopsis thaliana
Immunitat de les plantes
Arabidopsis thaliana
Plants immunity
description Recognition of a pathogen by the plant immune system often triggers a form of regulated cell death traditionally known as the hypersensitive response (HR). This type of cell death occurs precisely at the site of pathogen recognition, and it is restricted to a few cells. Extensive research has shed light on how plant immune receptors are mechanistically activated. However, two central key questions remain largely unresolved: how does cell death zonation take place, and what are the mechanisms that underpin this phenomenon? Consequently, bona fide transcriptional indicators of HR are lacking, which prevents deeper insight into its mechanisms before cell death becomes macroscopic and precludes early or live observation. In this study, to identify the transcriptional indicators of HR we used the paradigmatic Arabidopsis thaliana-Pseudomonas syringae pathosystem and performed a spatiotemporally resolved gene expression analysis that compared infected cells that will undergo HR upon pathogen recognition with bystander cells that will stay alive and activate immunity. Our data revealed unique and time-dependent differences in the repertoire of differentially expressed genes, expression profiles, and biological processes derived from tissue undergoing HR and that of its surroundings. Furthermore, we generated a pipeline based on concatenated pairwise comparisons between time, zone, and treatment that enabled us to define 13 robust transcriptional HR markers. Among these genes, the promoter of an uncharacterized AAA-ATPase was used to obtain a fluorescent reporter transgenic line that displays a strong spatiotemporally resolved signal specifically in cells that will later undergo pathogen-triggered cell death. This valuable set of genes can be used to define cells that are destined to die upon infection with HR-triggering bacteria, opening new avenues for specific and/or high-throughput techniques to study HR processes at a single-cell level.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/197294
url https://hdl.handle.net/2445/197294
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.molp.2022.04.010
Molecular Plant, 2022, vol. 15, num. 6, p. 1059-1075
https://doi.org/10.1016/j.molp.2022.04.010
dc.rights.none.fl_str_mv (c) Salguero Linares, Jose et al., 2022
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Salguero Linares, Jose et al., 2022
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 17 p.
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv Articles publicats en revistes (Genètica, Microbiologia i Estadística)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.198674

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