ArticleNature communications2019
Genome-wide mutational biases fuel transcriptional diversity in the Mycobacterium tuberculosis complex.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- Host oxidative stress primes mycobacteria for rapid antibiotic resistance evolution.Nature communications · 2026Article
- LysG-driven transcriptional network rewiring underlies lineage-specific phenotypes in Mycobacterium tuberculosis.Nature communications · 2026Article
- Article
- Epigenetic modulation in tuberculosis - mycobacterial defense mechanism to host immune responses.Frontiers in immunology · 2026Review
- Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance.Nature communications · 2025Article
- Article
- Regulation of the Expression ofAntibiotics (Basel, Switzerland) · 2025Article
- Pitfalls of bacterial pan-genome analysis approaches: a case study of Mycobacterium tuberculosis and two less clonal bacterial species.Bioinformatics (Oxford, England) · 2025Article
- Comparative transcriptomic signatures of virulent and attenuatedFrontiers in cellular and infection microbiology · 2025Article
- Intercellular mosaic methylation in fast-growingNAR molecular medicine · 2024Article
- Adaptation of the Mycobacterium tuberculosis transcriptome to biofilm growth.PLoS pathogens · 2024Article
- Expression of a uniqueFrontiers in microbiology · 2024Article
- Article
- Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023Review
- Drug resistance prediction forMicrobial genomics · 2023Article
- Article
- Gene evolutionary trajectories inProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Genomic analysis ofFrontiers in microbiology · 2022Article
- Transcriptional regulation and drug resistance inFrontiers in cellular and infection microbiology · 2022Review
- DNA Methyltransferase HsdM Induce Drug Resistance onAntibiotics (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The Mycobacterium tuberculosis complex (MTBC) members display different host-specificities and virulence phenotypes. Here, we have performed a comprehensive RNAseq and methylome analysis of the main clades of the MTBC and discovered unique transcriptional profiles. The majority of genes differentially expressed between the clades encode proteins involved in host interaction and metabolic functions. A significant fraction of changes in gene expression can be explained by positive selection on single mutations that either create or disrupt transcriptional start sites (TSS). Furthermore, we show that clinical strains have different methyltransferases inactivated and thus different methylation patterns. Under the tested conditions, differential methylation has a minor direct role on transcriptomic differences between strains. However, disruption of a methyltransferase in one clinical strain revealed important expression differences suggesting indirect mechanisms of expression regulation. Our study demonstrates that variation in transcriptional profiles are mainly due to TSS mutations and have likely evolved due to differences in host characteristics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.