Genomic and Proteomic Advances in Tracking Antibiotic Resistance Evolution
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Biology".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 37
Special Issue Editor
Interests: microbiology; one health; antimicrobial resistance; biofilms; microbial genetics; infectious diseases
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of antibiotic resistance poses a significant threat to public health, demanding innovative approaches to understand and mitigate this crisis. Genomic and proteomic analyses have opened new avenues for tracking resistance evolution, shedding light on the genetic and proteomic changes that enable pathogens to evade current therapies. This Special Issue focuses on recent advances in the use of omics technologies to study the evolution of antibiotic resistance, with the goal of identifying molecular patterns and mechanisms that drive this adaptation.This collection invites contributions that explore how genomic and proteomic tools can be applied to characterize resistance mechanisms, trace clonal lineages, and assess the impact of resistance in both clinical and environmental settings. Topics of interest include, but are not limited to, resistance evolution in zoonotic reservoirs, the role of horizontal gene transfer in resistance spread, and the development of bioinformatic tools for omics-based resistance tracking. Studies emphasizing the One Health approach are especially encouraged, reflecting the interconnectedness of human, animal, and environmental health in addressing antibiotic resistance.We welcome submissions of original research articles, comprehensive reviews, and perspectives that offer valuable insights into how genomics and proteomics can advance the battle against antibiotic resistance.
Dr. Vanessa Silva
Guest Editor
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Keywords
- antibiotic resistance
- genomic
- proteomic
- one health
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