Application of Omics Technologies in the Study of Antibiotic Resistance: Trends and Beyond
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Genetics and Genomics".
Deadline for manuscript submissions: closed (12 April 2024) | Viewed by 626
Special Issue Editor
Special Issue Information
Dear Colleagues,
Antimicrobial resistance is a serious threat to global health and is becoming increasingly alarming due to the continued emergence of pathogens with an extraordinary ability to acquire new antibiotic resistance traits. In recent years, new multi-resistant mechanisms have emerged and spread worldwide, making current treatments increasingly ineffective against common bacteria causing serious and often fatal infections.
In this context, major efforts are needed to generate hypotheses to better understand the acquisition and evolution of antibiotic resistance. Although the main targets and mechanisms of action of most antibiotics have been identified and are well studied, it is increasingly clear that antibiotic efficacy is a very complex process that occurs at the systems level.
Systems biology is an approach that through the use of multi-omics technologies, including genomics, transcriptomics and metabolomics, allows a holistic view of the mechanisms involved in microbial responses to antibiotic stress, thus providing a better understanding of the processes involved in the acquisition of resistance. Thus, the use of this approach constitutes a novel strategy to suggest non-obvious targets for multidrug therapies that could slow the evolution of resistance or reveal weaknesses that confer hypersensitivity to alternative treatments in evolved resistant bacteria.
In this context, this special issue invites academic scientists to submit reviews and original research articles that address the application of omics technologies focused on understanding mechanisms related to antibiotic resistance.
Dr. Francine Amaral Piubeli
Guest Editor
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Keywords
- antibiotic resistance
- genomic
- transcriptomic
- metabolomic
- system biology
- multi-omics technologies
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