Downloads provided by UsageCounts
ABSTRACT: Antimicrobial resistance (AMR) poses a threat to global health and the economy. Rifampicin-resistant Mycobacterium tuberculosis accounts for a third of the global AMR burden. Gaining the upper hand on AMR requires a deeper understanding of the physiology of resistance. AMR often results in a fitness cost in absence of drug. Identifying the molecular mechanisms underpinning this cost could help strengthen future treatment regimens. Here, we used a collection of M. tuberculosis strains providing an evolutionary and phylogenetic snapshot of rifampicin resistance, and subjected them to genome-wide transcriptomic and proteomic profiling to identify key perturbations of normal physiology. We found that the clinically most common rifampicin resistance-conferring mutation RpoB Ser450Leu imparts considerable gene expression changes, many of which are mitigated by the compensatory mutation in RpoC Leu516Pro. However, our data also provide evidence for pervasive epistasis: the same resistance mutation imposed a different fitness cost and functionally distinct changes to gene expression in genetically unrelated clinical strains. Finally, we report a likely post-transcriptional modulation of gene expression that is shared in most of the tested strains carrying RpoB Ser450Leu, resulting in an increased abundance of proteins involved in central carbon metabolism. These changes contribute to a more general trend, in which the disruption of the composition of the proteome correlates with the fitness cost of the RpoB Ser450Leu mutation in different strains. USAGE: Please unzip the data in the data folder of the repository cloned from Github.
This work was supported by the SystemsX.ch project "TbX", the National Institutes of Health project Omics4TB Disease Progression (U19 AI106761), Swiss National Science Foundation (grants 310030_188888, IZLSZ3_170834 and CRSII5_177163) and the European Research Council (309540-EVODRTB and 883582-ECOEVODRTB). The authors would like to thank Uwe Sauer and Michael Zimmermann for their input during the early stages of the project.
Proteomics, Data, RNA polymerase, SWATH-MS, Tuberculosis, Compensatory Evolution, AMR, Mycobacterium tuberculosis, Fitness cost, RNAseq, Rifampicin
Proteomics, Data, RNA polymerase, SWATH-MS, Tuberculosis, Compensatory Evolution, AMR, Mycobacterium tuberculosis, Fitness cost, RNAseq, Rifampicin
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 11 | |
| downloads | 6 |

Views provided by UsageCounts
Downloads provided by UsageCounts