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Takiff, H. E.

Publications and source records attributed to Takiff, H. E..

2 recordsLinked to original sources

Conserved mycobacterial sRNA B11 regulates lipooligosaccharide synthesis at post-transcriptional level

Extractable glycolipids of mycobacteria, such as lipooligosaccharides (LOS), play key roles in responding to environmental stress and altering the host immune response. However, although the biosynthesis of LOS is likely controlled at multiple levels to ensure proper composition of the cell wall, the key regulators are currently unknown. Here, we studied B11, a conserved mycobacterial sRNA, and found that it post-transcriptionally regulates LOS synthesis in Mycobacteria marinum. Deletion of B11 alters the colony morphology and RNA sequencing combined with mass spectrometry identified several genes in the LOS synthesis locus that are regulated by B11. We found that B11 uses the cytosine-rich loops of its rho-independent transcriptional terminator to interact with guanine-tracks adjacent to the ribosome binding sites of its target genes, thereby impeding translation and promoting mRNA degradation by RNase E. These comprehensive functional studies of mycobacterial sRNA B11 demonstrate sRNA-based regulation of cell wall synthesis in mycobacteria. ImportanceDespite being identified for more than a decade, the functional characterization and regulatory mechanisms of mycobacterial sRNAs remain largely unexplored. We present here the most comprehensive functional study of mycobacterial sRNAs to date, employing convincible target screening using multifaceted experimental approaches and phenotype analysis. Our work reveals how synthesis of mycobacterial lipooligosaccharides (LOS), one of the crucial extractable glycolipids involved in environmental stress response and host immune modulation, is regulated at the post-transcriptional level by the conserved sRNA B11. Furthermore, our discovery of a highly conserved sRNA exhibiting distinct functions across mycobacterial species exemplifies divergent functional evolution among sRNAs.

microbiology↗

The mutational signatures of poor treatment outcomes on the drug-susceptible Mycobacterium tuberculosis genome

Drug resistance is a known risk factor for poor tuberculosis (TB) treatment outcomes, but the contribution of other bacterial factors to poor outcomes in drug susceptible TB is less understood. Here, we generate a population-based dataset of drug-susceptible Mycobacterium tuberculosis (MTB) isolates from China to identify factors associated with poor treatment outcomes. We sequenced the whole genome of 3496 MTB strains and linked genomes to patient epidemiological data. A genome-wide association study (GWAS) was performed to identify bacterial genomic variants associated with poor outcomes. Risk factors identified by logistic regression analysis were used in clinical models to predict treatment outcomes and their associations were assessed with structural equation models (SEM). GWAS identified fourteen MTB variants (24.2% vs 7.5%, P<0.001) and a de novo reactive oxygen species (ROS) mutational signature (26.3%{+/-}18.2% vs 22.9%{+/-}13.8%, P=0.027) that were more frequent in patients with poor treatment outcomes. Patient age, sex, and duration of diagnostic delay were also independently associated with poor outcomes. The best clinical prediction model, with an AUC of 0.74, incorporates both host and bacterial risk factors, and host factors are more important. Together, our results reveal that although host factors are the most important determinants for poor treatment outcomes, the genomic characteristics of the infecting MTB strain may also contribute significantly to poor treatment outcomes. Fourteen genetic variants were statistically associated with poor TB treatment outcomes, but the optimal model for predicting treatment outcomes includes both patient characteristics and bacterial genomic determinants.

genomics↗