2016
DOI: 10.7717/peerj.2806
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Candidate pathogenicity islands in the genome of ‘CandidatusRickettsiella isopodorum’, an intracellular bacterium infecting terrestrial isopod crustaceans

Abstract: The bacterial genus Rickettsiellabelongs to the order Legionellales in the Gammaproteobacteria, and consists of several described species and pathotypes, most of which are considered to be intracellular pathogens infecting arthropods. Two members of this genus, R. grylliand R. isopodorum, are known to infect terrestrial isopod crustaceans. In this study, we assembled a draft genomic sequence for R. isopodorum, and performed a comparative genomic analysis with R. grylli. We found evidence for several candidate … Show more

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Cited by 12 publications
(6 citation statements)
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“…These proteins are xenologs to distantly related Gammaproteobacteria (i.e., Xenorhabdus nematophila and Photorhabdus luminescens ) toxins, with the “Cand. Rickettsiella isopodorum” protein encoded within a pathogenicity island that is absent from the closely related Rickettsiella grylli ( Wang and Chandler 2016 ). This exemplifies the mobile nature of these dual PD-(D/E)XK nuclease domains and their association with large modular toxins.…”
Section: Resultsmentioning
confidence: 99%
“…These proteins are xenologs to distantly related Gammaproteobacteria (i.e., Xenorhabdus nematophila and Photorhabdus luminescens ) toxins, with the “Cand. Rickettsiella isopodorum” protein encoded within a pathogenicity island that is absent from the closely related Rickettsiella grylli ( Wang and Chandler 2016 ). This exemplifies the mobile nature of these dual PD-(D/E)XK nuclease domains and their association with large modular toxins.…”
Section: Resultsmentioning
confidence: 99%
“…Hepatoplasma crinochetorum (Mollicutes) and Ca . Hepatincola porcellionum (Alphaproteobacteria), both facultative extracellular symbionts of the midgut caeca 34 , 77 79 , and the bacterial pathogen Rickettsiella (Gammaproteobacteria) 34 , 80 – 82 . Each of these genera was identified as differentially abundant depending on Wolbachia infection in certain host populations: Ca .…”
Section: Resultsmentioning
confidence: 99%
“…A metagenomics-based approach can also be useful for characterizing microbiomes, including looking for Wolbachia and other symbionts (e.g. Dittmer & Bouchon, 2018 ), and can even provide whole-genome sequence information for the symbiont (e.g., Salzberg et al, 2005 ; Richardson et al, 2012 ; Saha et al, 2012 ; Campana, Robles García & Tuross, 2015 ; Derks et al, 2015 ; Wang & Chandler, 2016 ; Lindsey et al, 2016b ; Gerth & Hurst, 2017 ). While performing a high-throughput sequencing-based screen for Wolbachia involving hundreds of different species would require a huge sampling effort and could be cost-prohibitive, screening existing sequence datasets generated for other projects offers a powerful opportunity to diagnose novel infections and better characterize variation in symbionts.…”
Section: Introductionmentioning
confidence: 99%