Virus- and Interferon Alpha-Induced Transcriptomes of Cells from the Microbat Myotis daubentonii.

Biological Sciences Immunity Omics Transcriptomics

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
27 Sep 2019
Historique:
received: 14 02 2019
revised: 10 07 2019
accepted: 07 08 2019
pubmed: 30 8 2019
medline: 30 8 2019
entrez: 30 8 2019
Statut: ppublish

Résumé

Antiviral interferons (IFN-alpha/beta) are possibly responsible for the high tolerance of bats to zoonotic viruses. Previous studies focused on the IFN system of megabats (suborder Yinpterochiroptera). We present statistically robust RNA sequencing (RNA-seq) data on transcriptomes of cells from the "microbat" Myotis daubentonii (suborder Yangochiroptera) responding at 6 and 24 h to either an IFN-inducing virus or treatment with IFN. Our data reveal genes triggered only by virus, either in both humans and Myotis (CCL4, IFNL3, CH25H), or exclusively in Myotis (STEAP4). Myotis cells also express a series of conserved IFN-stimulated genes (ISGs) and an unusually high paralog number of the antiviral ISG BST2 (tetherin) but lack several ISGs that were described for megabats (EMC2, FILIP1, IL17RC, OTOGL, SLC24A1). Also, in contrast to megabats, we detected neither different IFN-alpha subtypes nor an unusually high baseline expression of IFNs. Thus, Yangochiroptera microbats, represented by Myotis, may possess an IFN system with distinctive features.

Identifiants

DOI: 10.1016/j.isci.2019.08.016 PMID: 31465999 PMC: PMC6718828
pubmed: 31465999
pii: S2589-0042(19)30294-9
doi: 10.1016/j.isci.2019.08.016
pmc: PMC6718828
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

647-661

Informations de copyright

Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.

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Auteurs

Martin Hölzer (M)

RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany; European Virus Bioinformatics Center, Jena, Germany.

Andreas Schoen (A)

Institute for Virology, FB10-Veterinary Medicine, Justus-Liebig University, Giessen, Germany; Institute for Virology, Philipps University Marburg, Marburg, Germany; German Centre for Infection Research (DZIF), partner sites Marburg, Giessen, and Charité Berlin, Germany.

Julia Wulle (J)

Institute for Virology, FB10-Veterinary Medicine, Justus-Liebig University, Giessen, Germany; Institute for Virology, Philipps University Marburg, Marburg, Germany; German Centre for Infection Research (DZIF), partner sites Marburg, Giessen, and Charité Berlin, Germany.

Marcel A Müller (MA)

German Centre for Infection Research (DZIF), partner sites Marburg, Giessen, and Charité Berlin, Germany; Institute of Virology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany; Martsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov University, Moscow, Russia.

Christian Drosten (C)

German Centre for Infection Research (DZIF), partner sites Marburg, Giessen, and Charité Berlin, Germany; Institute of Virology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.

Manja Marz (M)

RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University Jena, Jena, Germany; European Virus Bioinformatics Center, Jena, Germany. Electronic address: manja@uni-jena.de.

Friedemann Weber (F)

Institute for Virology, FB10-Veterinary Medicine, Justus-Liebig University, Giessen, Germany; Institute for Virology, Philipps University Marburg, Marburg, Germany; German Centre for Infection Research (DZIF), partner sites Marburg, Giessen, and Charité Berlin, Germany. Electronic address: friedemann.weber@vetmed.uni-giessen.de.

Classifications MeSH