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Arsh, A. M.

Publications and source records attributed to Arsh, A. M..

2 recordsLinked to original sources

Thermal shifts can override the effects of Transcription-targeting Antibiotics

Bacteria traverse diverse stresses but rarely experience them in isolation. Thermal fluctuations and antibiotic exposure often coincide. Yet, how cells transduce these concurrent cues into gene regulatory programs remains unresolved. Here, we show that in Escherichia coli, cold and heat shocks exert dominance over antibiotic stresses across multiple levels of bacterial physiology. First, combined exposure to antibiotics and thermal shifts produced transcriptomes that consistently converged to temperature-defined transcriptomic states. This dominance emerges through the effects of thermal shifts on metabolism, nucleoid organization, engagement of antibiotic targets with DNA, over-expression of global transcription regulators, drug-target conformational plasticity, and regulatory induction of efflux pathways during combined exposure. Finally, cross-species simulations and phylogenetic analysis revealed that thermal disruption of antibiotic efficiency is conserved across evolutionary distant bacterial species. Together, these results identify temperature as a critical determinant of antibiotic efficacy.

microbiology↗

Mechanisms shaping the transcriptome of E. coli to non-lethal rifampicin stress

Rifampicin, by hampering transcription, perturbs bacteria even at non-lethal concentrations. In response, Escherichia coli adapts its phenotype to minimize mortality, which is followed by beneficial mutations. Most genome-wide transcriptional regulatory mechanisms controlling the adaptations remain unidentified. We studied the genome-wide, time-resolved, transcriptional program of susceptible E. coli cells under non-lethal rifampicin stress. Dynamically, the transcriptome widely diverged from the control, but later partially realigned. The mechanisms were changes in RNAP and Gyrase levels, promoter sequences, transcription factor network, intergenic distance, sensitivity to DNA supercoiling buildup, {sigma} factor specificity, (p)ppGpp, and a few global regulators. These results show that the genome-wide response dynamics to rifampicin is influenced by the structure of the gene regulatory network. Next, we compared the evolutionarily distant pathogen Mycobacterium tuberculosis. In both species, adjacent genes on the DNA exhibited similar response strengths. Also, the response strengths of orthologous genes were correlated, suggesting that both species implement similar (likely beneficial) phenotypic adaptations. In support, E. coli orthologs were enriched in the mechanisms identified as influential. Overall, E. coli, and likely other bacteria, have mechanisms influencing specific gene cohort responses to non-lethal rifampicin stress, which likely enhances survivability, thus facilitating the emergence of resistance.

systems biology↗