Abstract
Antibiotic resistance (AMR) has emerged as a global threat to the healthcare system due to the inappropriate use of antibiotics. This chapter focuses on two main aspects of antimicrobial resistance: (1) differences in resistance acquisition at high and low antibiotic concentrations in bacterial pathogens and (2) omics tools and the emerging systems-level computational models to study and tackle AMR. It appears that resistance arises with the interplay of the antibiotics selecting the resistant cells and the genetic elements in turn being specifically expressed by the antibiotic. Thus the genetic mechanism contributing in resistance development due to sub-lethal concentration of antibiotics and the effect of persister cell population in resistance carriage are also explained in detail. The authors specifically focus on the development of omics technologies and computational tools to study the cellular processes, antimicrobial resistance mechanisms, and novel drug target identification of new antimicrobial agents. Since resistance development in bacteria is a complex process with multiple and interconnected drivers, combinatorial approaches which can decipher the underlying mechanisms to design better treatment strategies are needed.
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Paul, M., Mohan, V., Narendrakumar, L., Joseph, I., Thomas, S. (2020). Status Quo of Omics Technologies in Analyzing the Genetic Mediators of Antimicrobial Resistance at Sub-MIC Concentrations. In: Thomas, S. (eds) Antimicrobial Resistance. Springer, Singapore. https://doi.org/10.1007/978-981-15-3658-8_10
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