Comparative transcriptomics analyses reveal the conservation of an ancestral infectious strategy in two bacteriophage genera

The ISME Journal
Bob G BlasdelLaurent Debarbieux

Abstract

Although the evolution of tailed bacteriophages has increasingly been better understood through comparisons of their DNA sequences, the functional consequences of this evolution on phage infectious strategies have remained unresolved. In this study, we comprehensively compared the transcriptional strategies of two related myoviruses, PAK_P3 and PAK_P4, infecting the same Pseudomonas aeruginosa host strain. Outside of the conservation of their structural clusters, their highly syntenic genomes display only limited DNA similarity. Despite this apparent divergence, we found that both viruses follow a similar infection scheme, relying on a temporal regulation of their gene expression, likely involving the use of antisense transcripts, as well as a rapid degradation of 90% of the host non-ribosomal mRNA, as previously reported for PAK_P3. However, the kinetics of the mRNA degradation is remarkably faster during PAK_P4 infection. Moreover, we found that each virus has evolved specific adaptations, as exemplified by the distinct patterns of their core genes expression as well as the specific manipulation of the expression of iron-related host genes by PAK_P4. This study enhances our understanding of the evolutionary process of virulen...Continue Reading

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Citations

Mar 24, 2018·The ISME Journal·Cristina Howard-VaronaMatthew B Sullivan
Jan 27, 2018·The ISME Journal·Lucía FernándezPilar García
Jul 25, 2018·Viruses·Elizabeth KutterBurton Guttman
Jun 14, 2017·Nature Reviews. Microbiology·Irene Vacca
Mar 15, 2018·Viruses·Mireille AnsaldiPascale Boulanger
Mar 5, 2020·MBio·Anushila ChatterjeeBreck A Duerkop
Jan 4, 2020·The ISME Journal·Cristina Howard-VaronaMelissa B Duhaime
Aug 10, 2020·Plasmid·Sylwia BlochBożena Nejman-Faleńczyk
Jan 27, 2021·Scientific Reports·Diana P PiresJoana Azeredo

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Datasets Mentioned

BETA
CP020659

Methods Mentioned

BETA
RNA-seq

Software Mentioned

CoreGenes
R
COV2HTML
DESeq2
Bioconductor
CLC Genomics workbench

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