Co-selection of multi-antibiotic resistance in bacterial pathogens in metal and microplastic contaminated environments: an emerging health threat
Abstract
Misuse/over use of antibiotics increases the threats to human health since this is a main reason behind evolution of antibiotic resistant bacterial pathogens. However, metals such as mercury, lead, zinc, copper and cadmium are accumulating to critical concentration in the environment and triggering co-selection of antibiotic resistance in bacteria. The co-selection of metal driven antibiotic resistance in bacteria is achieved through co-resistance or cross resistance. Metal driven antibiotic resistant determinants evolved in bacteria and present on same mobile genetic elements are horizontally transferred to distantly related bacterial human pathogens. Additionally, in marine environment persistent pollutants like microplastics is recognized as a vector for the proliferation of metal/antibiotics and human pathogens. Recently published research confirmed that horizontal gene transfer between phylogenetically distinct microbes present on microplastics is much faster than free living microbes. Therefore, microplastics act as an emerging hotspot for metal driven co-selection of multidrug resistant human pathogens and pose serious threat to humans which do recreational activities in marine environment and ingest marine derived foods. Therefore, marine environment co-polluted with metal, antibiotics, human pathogens and microplastics pose an emerging health threat globally.
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Antibiotics, antimicrobial compounds, heavy metals, pesticides, biocides, and nutrients are known selecting agents.
“For example, antibiotics, antimicrobial compounds, heavy metals, pesticides, biocides, and nutrients are known selecting agents (Imran et al., 2019; Zhuang et al., 2021).”
From Review of emerging contaminants in green stormwater infrastructure: antibiotic resistance genes, microplastics, tire wear particles, PFAS, and temperature (2024) · cites this paper as Imran et al., 2019
Cites
Hahladakis, J. N., Velis, C. A., Weber, R., Iacovidou, E., & Purnell, P. (2018) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2017.10.014 · Cited by 3,873 · see citing works
The shared antibiotic resistome of soil bacteria and human pathogens
Forsberg, K. J., Reyes, A., Wang, B., Selleck, E. M., Sommer, M. O. A., & Dantas, G. (2012) · Science · doi:10.1126/science.1220761 · Cited by 1,650 · see citing works
Microbial reduction of metals and radionuclides
Lloyd, J. R. (2003) · FEMS Microbiology Reviews · doi:10.1016/s0168-6445(03)00044-5 · Cited by 654 · see citing works
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Wojnowska-Baryła, I., Bernat, K., & Zaborowska, M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013223 · Cited by 348 · see citing works
Kaur, H., Devi, N., Siwal, S. S., Alsanie, W. F., Thakur, M. K., & Thakur, V. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07719 · Cited by 273 · see citing works
Mofijur, M., Ahmed, S. F., Rahman, S. M. A., Arafat Siddiki, S. Y., Islam, A. B. M. S., Shahabuddin, M., Ong, H. C., Mahlia, T. M. I., Djavanroodi, F., & Show, P. L. (2021) · Environmental Research · doi:10.1016/j.envres.2021.110857 · Cited by 172 · see citing works
Bodus, B., O'Malley, K., Dieter, G., Gunawardana, C., & McDonald, W. (2024) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.167195 · Cited by 76 · see citing works
Wu, P., Zhang, H., Singh, N., Tang, Y., & Cai, Z. (2022) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.132351 · Cited by 45 · see citing works
- Authors
- Imran, M., Das, K. R., & Naik, M. M.
- Venue
- Chemosphere
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 215
- Pages
- 846-857
- ISSN
- 0045-6535
- Cited by
- 541
- References
- 3
- Language
- en
- Funders
- SERB-DST (YSS/2014/000258)
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