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    A Meta-Analysis of Transcriptomics Reveals a Stage-Specific Transcriptional Response Shared Across Different Hosts

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    Author
    Chung, Matthew
    Basting, Preston J
    Patkus, Rayanna S
    Grote, Alexandra
    Luck, Ashley N
    Ghedin, Elodie
    Slatko, Barton E
    Michalski, Michelle
    Foster, Jeremy M
    Bergman, Casey M
    Dunning Hotopp, Julie C
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    Date
    2020-09-02
    Journal
    G3: Genes, Genomes, Genetics
    Publisher
    Genetics Society of America
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1534/g3.120.401534
    Abstract
    Wolbachia is a genus containing obligate, intracellular endosymbionts with arthropod and nematode hosts. Numerous studies have identified differentially expressed transcripts in Wolbachia endosymbionts that potentially inform the biological interplay between these endosymbionts and their hosts, albeit with discordant results. Here, we re-analyze previously published Wolbachia RNA-Seq transcriptomics data sets using a single workflow consisting of the most up-to-date algorithms and techniques, with the aim of identifying trends or patterns in the pan-Wolbachia transcriptional response. We find that data from one of the early studies in filarial nematodes did not allow for robust conclusions about Wolbachia differential expression with these methods, suggesting the original interpretations should be reconsidered. Across datasets analyzed with this unified workflow, there is a general lack of global gene regulation with the exception of a weak transcriptional response resulting in the upregulation of ribosomal proteins in early larval stages. This weak response is observed across diverse Wolbachia strains from both nematode and insect hosts suggesting a potential pan-Wolbachia transcriptional response during host development that diverged more than 700 million years ago.
    Rights/Terms
    Copyright © 2020 Chung et al.
    Keyword
    RNA-Seq
    Wolbachia
    bacteria
    intracellular
    meta-analysis
    transcriptomics
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/13708
    ae974a485f413a2113503eed53cd6c53
    10.1534/g3.120.401534
    Scopus Count
    Collections
    UMB Open Access Articles 2020

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