Evidence map›Paper›PMID 27495169›Full record

ArticleBMC genomics2016

Functional characterization of the Mycobacterium abscessus genome coupled with condition specific transcriptomics reveals conserved molecular strategies for host adaptation and persistence.

Aleksandra A Miranda-CasoLuengo, Patrick M Staunton, Adam M Dinan, Amanda J Lohan, Brendan J Loftus

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 81 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Aleksandra A Miranda-CasoLuengoSchool of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, RmG043 Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Patrick M StauntonSchool of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, RmG043 Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Adam M DinanSchool of Medicine, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, RmG043 Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Amanda J LohanAPC Microbiome Institute, Biosciences Institute, University College Cork, Cork, Ireland.
Brendan J LoftusSchool 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.
University College Dublin · IEUniversity College Cork · IE

Funding

Wellcome TrustWellcome Trust 099817/Z/12/Z
6 · The paper itself

Abstract

backgroundMycobacterium 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.

resultsWe 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.

conclusionsOur 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.

Indexed as

Adaptation, BiologicalEvolution, MolecularGenome, BacterialHost-Pathogen InteractionsTranscriptomeAnti-Bacterial AgentsDrug Resistance, BacterialFatty AcidsGene Expression ProfilingGene Expression Regulation, BacterialHigh-Throughput Nucleotide SequencingHypoxiaIronMycobacteriumOpen Reading FramesProtein IsoformsAnti-Bacterial AgentsFatty AcidsIronProtein IsoformsRNA, BacterialSiderophoresAntibioticCystic fibrosisIntegrated mapMycobacterium abscessusWhiB7

Identifiers

PMID27495169
PMCPMC4974804
OpenAlexW2492836473

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.