The Fitness Cost of Antibiotic Resistance: A Critical Factor in Bacterial Adaptation

Authors

  • Bigya Dhital Department of Animal Science, National Chung Hsing University, Taichung 40227, Taiwan https://orcid.org/0000-0003-1479-7172
  • Rameshwor Pudasaini Department of Entomology, National Chung Hsing University, Taichung 40227, Taiwan/ Institute of Agriculture and Animal Science, Tribhuvan University, Kathmandu, Nepal https://orcid.org/0000-0001-9957-1185
  • Hsin-I Chiang Department of Animal Science, National Chung Hsing University, Taichung 40227, Taiwan/ Smart Sustainable New Agriculture Research Center (SMARTer), Taichung 40227, Taiwan https://orcid.org/0000-0002-2815-4314

DOI:

https://doi.org/10.3126/ijasbt.v13i2.80719

Keywords:

Antibiotic resistance, Compensatory evolution, Collateral sensitivity, Resistance persistence

Abstract

Antibiotic resistance often incurs fitness costs that can impair bacterial growth, competitiveness, or adaptability in drug-free environments. However, these disadvantages are frequently offset by compensatory mutations, ecological interactions, and horizontal gene transfer, enabling resistant strains to persist and spread. This review explores the molecular basis and evolutionary dynamics of resistance-associated fitness costs, with a focus on how genetic, physiological, and environmental factors shape bacterial adaptation. We highlight experimental approaches to quantify fitness costs, the role of microbial communities and host environments, and emerging strategies to exploit evolutionary trade-offs. Integrating fitness cost insights into antibiotic stewardship and predictive modeling offers a promising path to managing resistance more effectively and prolonging the efficacy of existing therapies.

Int. J. Appl. Sci. Biotechnol. Vol 13(2): 65-73.

 

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Published

2025-06-27

How to Cite

Dhital, B., Pudasaini, R., & Chiang, H.-I. (2025). The Fitness Cost of Antibiotic Resistance: A Critical Factor in Bacterial Adaptation. International Journal of Applied Sciences and Biotechnology, 13(2), 65–73. https://doi.org/10.3126/ijasbt.v13i2.80719

Issue

Section

Review Articles