title: Functional characterization of the Mycobacterium abscessus genome coupled with condition specific transcriptomics reveals conserved molecular strategies for host adaptation and persistence.
abstract: Mycobacterium abscessus subsp. abscessus (MAB) is a highly drug resistant mycobacterium and the most common respiratory pathogen among the rapidly growing non-tuberculous mycobacteria. MAB is also one of the most deadly of the emerging cystic fibrosis (CF) pathogens requiring prolonged treatment with multiple antibiotics. In addition to its "mycobacterial" virulence genes, the genome of MAB harbours a large accessory genome, presumably acquired via lateral gene transfer including homologs shared with the CF pathogens Pseudomonas aeruginosa and Burkholderia cepacia. While multiple genome sequences are available there is little functional genomics data available for this important pathogen.
  
  
  
  We report here the first multi-omics approach to characterize the primary transcriptome, coding potential and potential regulatory regions of the MAB genome utilizing differential RNA sequencing (dRNA-seq), RNA-seq, Ribosome profiling and LC-MS proteomics. In addition we attempt to address the genomes contribution to the molecular systems that underlie MAB's adaptation and persistence in the human host through an examination of MABs transcriptional response to a number of clinically relevant conditions. These include hypoxia, exposure to sub-inhibitory concentrations of antibiotics and growth in an artificial sputum designed to mimic the conditions within the cystic fibrosis lung.
  
  
  
  Our integrated map provides the first comprehensive view of the primary transcriptome of MAB and evidence for the translation of over one hundred new short open reading frames (sORFs). Our map will act as a resource for ongoing functional genomics characterization of MAB and our transcriptome data from clinically relevant stresses informs our understanding of MAB's adaptation to life in the CF lung. MAB's adaptation to growth in artificial CF sputum highlights shared metabolic strategies with other CF pathogens including P. aeruginosa and mirrors the transcriptional responses that lead to persistence in mycobacteria. These strategies include an increased reliance on amino acid metabolism, and fatty acid catabolism and highlights the relevance of the glyoxylate shunt to growth in the CF lung. Our data suggests that, similar to what is seen in chronically persisting P. aeruginosa, progression towards a biofilm mode of growth would play a more prominent role in a longer-term MAB infection. Finally, MAB's transcriptional response to antibiotics highlights the role of antibiotic modifications enzymes, active transport and the evolutionarily conserved WhiB7 driven antibiotic resistance regulon.
authors: School of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, RmG043 Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
authors: Aleksandra A
authors: AA
authors: Miranda-CasoLuengo
authors: School of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, RmG043 Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
authors: Patrick M
authors: PM
authors: Staunton
authors: School of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, RmG043 Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
authors: Adam M
authors: AM
authors: Dinan
authors: APC Microbiome Institute, Biosciences Institute, University College Cork, Cork, Ireland.
authors: Amanda J
authors: AJ
authors: Lohan
authors: School of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, RmG043 Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland. brendan.loftus@ucd.ie.
authors: Brendan J
authors: BJ
authors: Loftus
mesh_terms: D000220:Adaptation, Biological / Q000235:genetics; D000900:Anti-Bacterial Agents / Q000494:pharmacology; D024881:Drug Resistance, Bacterial; D019143:Evolution, Molecular; D005227:Fatty Acids / Q000378:metabolism; D020869:Gene Expression Profiling; D015964:Gene Expression Regulation, Bacterial; D016680:Genome, Bacterial; D059014:High-Throughput Nucleotide Sequencing; D054884:Host-Pathogen Interactions; D000860:Hypoxia; D007501:Iron / Q000378:metabolism; D009161:Mycobacterium / Q000235:genetics* / Q000378:metabolism; D016366:Open Reading Frames; D020033:Protein Isoforms; D012329:RNA, Bacterial; D017262:Siderophores / Q000096:biosynthesis; D013312:Stress, Physiological / Q000235:genetics; D059467:Transcriptome
chemical_list: D000900:Anti-Bacterial Agents; D005227:Fatty Acids; D020033:Protein Isoforms; D012329:RNA, Bacterial; D017262:Siderophores; D007501:Iron
keywords: Antibiotic; Cystic fibrosis; Integrated map; Mycobacterium abscessus; WhiB7