Mycobacterium abscessus virulence traits unraveled by transcriptomic profiling in amoeba and macrophages.
Violaine DuboisAlexandre PawlikAnouchka BoriesVincent Le MoigneOdile SismeiroRachel LegendreHugo VaretMaría Del Pilar Rodríguez-OrdoñezJean-Louis GaillardJean-Yves CoppéeRoland BroschJean-Louis HerrmannFabienne Girard-MisguichPublished in: PLoS pathogens (2019)
Free-living amoebae are thought to represent an environmental niche in which amoeba-resistant bacteria may evolve towards pathogenicity. To get more insights into factors playing a role for adaptation to intracellular life, we characterized the transcriptomic activities of the emerging pathogen Mycobacterium abscessus in amoeba and murine macrophages (Mϕ) and compared them with the intra-amoebal transcriptome of the closely related, but less pathogenic Mycobacterium chelonae. Data on up-regulated genes in amoeba point to proteins that allow M. abscessus to resist environmental stress and induce defense mechanisms, as well as showing a switch from carbohydrate carbon sources to fatty acid metabolism. For eleven of the most upregulated genes in amoeba and/or Mϕ, we generated individual gene knock-out M. abscessus mutant strains, from which ten were found to be attenuated in amoeba and/or Mϕ in subsequence virulence analyses. Moreover, transfer of two of these genes into the genome of M. chelonae increased the intra-Mϕ survival of the recombinant strain. One knock-out mutant that had the gene encoding Eis N-acetyl transferase protein (MAB_4532c) deleted, was particularly strongly attenuated in Mϕ. Taken together, M. abscessus intra-amoeba and intra-Mϕ transcriptomes revealed the capacity of M. abscessus to adapt to an intracellular lifestyle, with amoeba largely contributing to the enhancement of M. abscessus intra-Mϕ survival.
Keyphrases
- genome wide
- single cell
- genome wide identification
- escherichia coli
- mycobacterium tuberculosis
- dna methylation
- rna seq
- staphylococcus aureus
- pseudomonas aeruginosa
- biofilm formation
- copy number
- fatty acid
- genome wide analysis
- transcription factor
- cardiovascular disease
- physical activity
- gene expression
- antimicrobial resistance
- machine learning
- type diabetes
- human health
- candida albicans
- electronic health record
- free survival
- reactive oxygen species
- protein protein
- life cycle
- cell free
- deep learning