Adaptation of the Mycobacterium tuberculosis transcriptome to biofilm growth.
Madison A YoungblomTracy M SmithHolly J MurrayCaitlin S PepperellPublished in: PLoS pathogens (2024)
Mycobacterium tuberculosis (M. tb), the causative agent of tuberculosis (TB), is a leading global cause of death from infectious disease. Biofilms are increasingly recognized as a relevant growth form during M. tb infection and may impede treatment by enabling bacterial drug and immune tolerance. M. tb has a complicated regulatory network that has been well-characterized for many relevant disease states, including dormancy and hypoxia. However, despite its importance, our knowledge of the genes and pathways involved in biofilm formation is limited. Here we characterize the biofilm transcriptomes of fully virulent clinical isolates and find that the regulatory systems underlying biofilm growth vary widely between strains and are also distinct from regulatory programs associated with other environmental cues. We used experimental evolution to investigate changes to the transcriptome during adaptation to biofilm growth and found that the application of a uniform selection pressure resulted in loss of strain-to-strain variation in gene expression, resulting in a more uniform biofilm transcriptome. The adaptive trajectories of transcriptomes were shaped by the genetic background of the M. tb population leading to convergence on a sub-lineage specific transcriptome. We identified widespread upregulation of non-coding RNA (ncRNA) as a common feature of the biofilm transcriptome and hypothesize that ncRNA function in genome-wide modulation of gene expression, thereby facilitating rapid regulatory responses to new environments. These results reveal a new facet of the M. tb regulatory system and provide valuable insight into how M. tb adapts to new environments.
Keyphrases
- mycobacterium tuberculosis
- genome wide
- biofilm formation
- candida albicans
- pseudomonas aeruginosa
- gene expression
- staphylococcus aureus
- dna methylation
- single cell
- pulmonary tuberculosis
- rna seq
- transcription factor
- escherichia coli
- copy number
- cystic fibrosis
- infectious diseases
- depressive symptoms
- healthcare
- public health
- cell proliferation
- emergency department
- machine learning
- human health
- electronic health record