A time-resolved multi-omics atlas of Acanthamoeba castellanii encystment.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
14 07 2022
Historique:
received: 16 03 2022
accepted: 30 06 2022
entrez: 14 7 2022
pubmed: 15 7 2022
medline: 19 7 2022
Statut: epublish

Résumé

Encystment is a common stress response of most protists, including free-living amoebae. Cyst formation protects the amoebae from eradication and can increase virulence of the bacteria they harbor. Here, we mapped the global molecular changes that occur in the facultatively pathogenic amoeba Acanthamoeba castellanii during the early steps of the poorly understood process of encystment. By performing transcriptomic, proteomic, and phosphoproteomic experiments during encystment, we identified more than 150,000 previously undescribed transcripts and thousands of protein sequences absent from the reference genome. These results provide molecular details to the regulation of expected biological processes, such as cell proliferation shutdown, and reveal new insights such as a rapid phospho-regulation of sites involved in cytoskeleton remodeling and translation regulation. This work constitutes the first time-resolved molecular atlas of an encysting organism and a useful resource for further investigation of amoebae encystment to allow for a better control of pathogenic amoebae.

Identifiants

pubmed: 35835784
doi: 10.1038/s41467-022-31832-0
pii: 10.1038/s41467-022-31832-0
pmc: PMC9283445
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4104

Informations de copyright

© 2022. The Author(s).

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Auteurs

Clément Bernard (C)

Laboratoire Ecologie et Biologie des Interactions, Université de Poitiers, UMR CNRS, 7267, Poitiers, France.

Marie Locard-Paulet (M)

Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.

Cyril Noël (C)

IFREMER-IRSI-Service de Bioinformatique (SeBiMER), Centre Bretagne, Plouzane, France.

Magalie Duchateau (M)

Institut Pasteur, Université de Paris, Proteomics Platform, Mass Spectrometry for Biology Unit, UAR2024, CNRS 2000, Paris, France.

Quentin Giai Gianetto (Q)

Institut Pasteur, Université de Paris, Proteomics Platform, Mass Spectrometry for Biology Unit, UAR2024, CNRS 2000, Paris, France.
Institut Pasteur, Université de Paris, Department of Computation Biology, Bioinformatics and Biostatistics Hub, Paris, France.

Bouziane Moumen (B)

Laboratoire Ecologie et Biologie des Interactions, Université de Poitiers, UMR CNRS, 7267, Poitiers, France.

Thomas Rattei (T)

Centre for Microbiology and Environmental Systems Science; Doctoral School Microbiology and Environmental Science, University of Vienna, Vienna, Austria.

Yann Hechard (Y)

Laboratoire Ecologie et Biologie des Interactions, Université de Poitiers, UMR CNRS, 7267, Poitiers, France.

Lars Juhl Jensen (LJ)

Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.

Mariette Matondo (M)

Institut Pasteur, Université de Paris, Proteomics Platform, Mass Spectrometry for Biology Unit, UAR2024, CNRS 2000, Paris, France.

Ascel Samba-Louaka (A)

Laboratoire Ecologie et Biologie des Interactions, Université de Poitiers, UMR CNRS, 7267, Poitiers, France. ascel.samba@univ-poitiers.fr.

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