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Heavy metal and antibiotic resistance in four Indian and UK rivers with different levels and types of water pollution
Abstract
Heavy metal pollution can enhance the level of antibiotic resistance, posing concerns to ecosystem and public health. Here, we investigated heavy metal concentrations, heavy metal resistant bacteria and antibiotic resistant bacteria and their corresponding resistant genes, and integrons in four different river environments, i.e., low heavy metals and low wastewater, high heavy metals and low wastewater, low heavy metals and high wastewater, and high heavy metals and high wastewater levels. Heavy metals were found to show positive and significant correlations with heavy metal resistance and antibiotic resistance and integrons (r > 0.60, p 0.60, p 0.60, p < 0.05), indicating a higher occurrence of antibiotic resistance co-selection in the heavy metal-polluted environments.
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Gupta et al. demonstrated significant associations between heavy metals and antibiotic resistance, indicating that resistance mechanisms are similar for both.
“For example, Gupta et al. demonstrated significant associations between heavy metals and antibiotic resistance, indicating that the resistance mechanisms are similar for both10.”
From Impact of untreated tannery wastewater in the evolution of multidrug-resistant bacteria in Bangladesh (2024) · cites this paper as [10]
Pollution with heavy metals such as chromium, lead, cadmium, and mercury is well-documented to induce antibiotic resistance through co-selection.
“Moreover, pollution with heavy metals such as chromium, lead, cadmium, and mercury is well-documented to induce antibiotic resistance through co-selection10–12.”
From Impact of untreated tannery wastewater in the evolution of multidrug-resistant bacteria in Bangladesh (2024) · cites this paper as [10]
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Research works printed but not linked: 50
- Baker-Austin, 2006, Co-selection of antibiotic and metal resistance, Trends Microbiol., 14, 176, 10.1016/j.tim.2006.02.006 · DOI
- Berg, 2005, Copper amendment of agricultural soil selects for bacterial antibiotic resistance in the field, Lett. Appl. Microbiol., 40, 146, 10.1111/j.1472-765X.2004.01650.x · DOI
- Bruins, 2000, Microbial resistance to metals in the environment, Ecotoxicol. Environ. Saf., 45, 198, 10.1006/eesa.1999.1860 · DOI
- Buriánková, 2021, Antibiotic resistance in wastewater and its impact on a Receiving River: a case study of WWTP Brno-Modřice, Czech Republic, Water, 13, 2309, 10.3390/w13162309 · DOI
- Chen, 2019, Bacterial heavy-metal and antibiotic resistance genes in a copper tailing dam area in northern China, Front. Microbiol., 10, 1
- Cheng, 1996, The purified Bacillus subtilis tetracycline efflux protein TetA(L) reconstitutes both tetracycline-cobalt/H+ and Na+(K+)/H+ exchange, Proc. Natl. Acad. Sci. U. S. A., 93, 14446, 10.1073/pnas.93.25.14446 · DOI
- Di Cesare, 2016, Co-occurrence of integrase 1, antibiotic and heavy metal resistance genes in municipal wastewater treatment plants, Water Res., 94, 208, 10.1016/j.watres.2016.02.049 · DOI
- Gillings, 2015, Using the class 1 integron-integrase gene as a proxy for anthropogenic pollution, ISME J., 9, 1269, 10.1038/ismej.2014.226 · DOI
- Graham, 2011, Antibiotic resistance gene abundances associated with waste discharges to the Almendares river near Havana,Cuba, Environ. Sci. Technol., 45, 418, 10.1021/es102473z · DOI
- Guo, 2019, Responses of antibiotic and heavy metal resistance genes to bamboo charcoal and bamboo vinegar during aerobic composting, Environ. Pollut., 252, 1097, 10.1016/j.envpol.2019.05.014 · DOI
- Gupta, 2022, Effects of heavy metals on the development and proliferation of antibiotic resistance in urban sewage treatment plants, Environ. Pollut., 308, 10.1016/j.envpol.2022.119649 · DOI
- He, 2017, Evolution of corresponding resistance genes in the water of fish tanks with multiple stresses of antibiotics and heavy metals, Water Res., 124, 39, 10.1016/j.watres.2017.07.048 · DOI
- Hu, 2017, Long-term nickel contamination increases the occurrence of antibiotic resistance genes in agricultural soils, Environ. Sci. Technol., 51, 790, 10.1021/acs.est.6b03383 · DOI
- Knapp, 2011, Antibiotic resistance gene abundances correlate with metal and geochemical conditions in archived Scottish soils, PLoS One, 6, 10.1371/journal.pone.0027300 · DOI
- Knapp, 2017, Relationship between antibiotic resistance genes and metals in residential soil samples from Western Australia, Environ. Sci. Pollut. Res., 24, 2484, 10.1007/s11356-016-7997-y · DOI
- Kumar, 2018, Antibiotic resistance and wastewater: correlation, impact and critical human health challenges, J. Environ. Chem. Eng., 6, 52, 10.1016/j.jece.2017.11.059 · DOI
- Laffite, 2016, Hospital effluents are one of several sources of metal, antibiotic resistance genes, and bacterial markers disseminated in sub-Saharan urban rivers, Front. Microbiol., 7, 1128, 10.3389/fmicb.2016.01128 · DOI
- Lamba, 2018, Carbapenem resistance exposures via wastewaters across New Delhi, Environ. Int., 119, 302, 10.1016/j.envint.2018.07.004 · DOI
- Lamba, 2020, Sewage mediated transfer of antibiotic resistance to river Yamuna in Delhi, India, J. Environ. Chem. Eng., 8, 10.1016/j.jece.2017.12.041 · DOI
- Le, 2015, Genetic characterization of three qnrS1-harbouring multidrug-resistance plasmids and qnrS1-containing transposons circulating in Ho Chi Minh City, Vietnam, J. Med. Microbiol., 64, 869, 10.1099/jmm.0.000100 · DOI
- Levy, 2002, Active efflux, a common mechanism for biocide and antibiotic resistance, J. Appl. Microbiol., 92, 65S, 10.1046/j.1365-2672.92.5s1.4.x · DOI
- Lu, 2019, Occurrence and spatial distribution of antibiotic resistance genes in the Bohai Sea and Yellow Sea areas, China, Environ. Pollut., 252, 450, 10.1016/j.envpol.2019.05.143 · DOI
- Ma, 2019, Response of antibiotic resistance to the co-existence of chloramphenicol and copper during bio-electrochemical treatment of antibiotic-containing wastewater, Environ. Int., 126, 127, 10.1016/j.envint.2019.02.002 · DOI
- Macklin, 1994, The use of overbank sediment for geochemical mapping and contamination assessment: results from selected English and Welsh floodplains, Appl. Geochem., 9, 689, 10.1016/0883-2927(94)90028-0 · DOI
- Marti, 2013, Prevalence of antibiotic resistance genes and bacterial community composition in a river influenced by a wastewater treatment plant, PLoS One, 8, 10.1371/journal.pone.0078906 · DOI
- Mishra, 2018, Multi-drug resistant coliform: water sanitary standards and health hazards, Front. Pharmacol., 9, 1, 10.3389/fphar.2018.00311 · DOI
- Nakahara, 1977, Linkage of mercury, cadmium, and arsenate and drug resistance in clinical isolates of Pseudomonas aeruginosa, Appl. Environ. Microbiol., 33, 975, 10.1128/aem.33.4.975-976.1977 · DOI
- Nies, 2003, Efflux-mediated heavy metal resistance in prokaryotes, FEMS Microbiol. Rev., 27, 313, 10.1016/S0168-6445(03)00048-2 · DOI
- Nordmann, 2012, Carbapenem resistance in Enterobacteriaceae: here is the storm!, Trends Mol.Med., 18, 263, 10.1016/j.molmed.2012.03.003 · DOI
- Novo, 2013, Antibiotic resistance, antimicrobial residues and bacterial community composition in urban wastewater, Water Res., 47, 1875, 10.1016/j.watres.2013.01.010 · DOI
- Reddy, 2019, River Ganges water as reservoir of microbes with antibiotic and metal ion resistance genes: high throughput metagenomic approach, Environ. Pollut., 246, 443, 10.1016/j.envpol.2018.12.022 · DOI
- Rosewarne, 2010, Class 1 integrons in benthic bacterial communities: abundance, association with Tn402-like transposition modules and evidence for coselection with heavy-metal resistance, FEMS Microbiol. Ecol., 72, 35, 10.1111/j.1574-6941.2009.00823.x · DOI
- Seiler, 2012, Heavy metal driven co-selection of antibiotic resistance in soil and water bodies impacted by agriculture and aquaculture, Front. Microbiol., 3, 1, 10.3389/fmicb.2012.00399 · DOI · Paper page
- Son, 2018, Seasonal changes in antibiotic resistance genes in rivers and reservoirs in South Korea, J. Environ. Qual., 47, 1079, 10.2134/jeq2017.12.0493 · DOI
- Stepanauskas, 2005, Elevated microbial tolerance to metals and antibiotics in metal-contaminated industrial environments, Environ. Sci. Technol., 39, 3671, 10.1021/es048468f · DOI
- Tao, 2016, High levels of antibiotic resistance genes and their correlations with bacterial community and mobile genetic elements in pharmaceutical wastewater treatment bioreactors, PLoS One, 11, 1, 10.1371/journal.pone.0156854 · DOI
- Wang, 2020, Distribution of antibiotic resistance genes in an agriculturally disturbed lake in China: their links with microbial communities, antibiotics, and water quality, J. Hazard. Mater., 393, 10.1016/j.jhazmat.2020.122426 · DOI
- Wei, 2019, Concentration and pollution assessment of heavy metals within surface sediments of the Raohe Basin, China, Sci. Rep., 9
- Wright, 2006, Bacterial tolerances to metals and antibiotics in metal-contaminated and reference streams, FEMS Microbiol. Ecol., 58, 293, 10.1111/j.1574-6941.2006.00154.x · DOI
- Wright, 2008, Influence of industrial contamination on mobile genetic elements: class 1 integron abundance and gene cassette structure in aquatic bacterial communities, ISME J., 2, 417, 10.1038/ismej.2008.8 · DOI
- Xu, 2017, Effect of the selective pressure of sub-lethal level of heavy metals on the fate and distribution of ARGs in the catchment scale, Environ. Pollut., 220, 900, 10.1016/j.envpol.2016.10.074 · DOI
- Yang, 2020, Presence of heavy metal resistance genes in Escherichia coli and Salmonella isolates and analysis of resistance gene structure in E. coli E308, J. Glob. Antimicrob. Resist., 21, 420, 10.1016/j.jgar.2020.01.009 · DOI
- Yin, 2017, Effects of copper addition on copper resistance, antibiotic resistance genes, and intl1 during swine manure composting, Front. Microbiol., 8, 1, 10.3389/fmicb.2017.00344 · DOI
- Yuan, 2018, Antibiotic resistance genes and intI1 prevalence in a swine wastewater treatment plant and correlation with metal resistance, bacterial community and wastewater parameters, Ecotoxicol. Environ. Saf., 161, 251, 10.1016/j.ecoenv.2018.05.049 · DOI
- Zampieri, 2016, Diversity and distribution of heavy metal-resistant bacteria in polluted sediments of the Araça Bay, São Sebastião (SP), and the relationship between heavy metals and organic matter concentrations, Microb. Ecol., 72, 582, 10.1007/s00248-016-0821-x · DOI
- Zhang, 2009, Antibiotic resistance genes in water environment, Appl. Microbiol. Biotechnol., 82, 397, 10.1007/s00253-008-1829-z · DOI
- Zhang, 2019, Acid mine drainage affects the diversity and metal resistance gene profile of sediment bacterial community along a river, Chemosphere, 217, 790, 10.1016/j.chemosphere.2018.10.210 · DOI
- Zhao, 2019, Study on the influence of soil microbial community on the long-term heavy metal pollution of different land use types and depth layers in mine, Ecotoxicol. Environ. Saf., 170, 218, 10.1016/j.ecoenv.2018.11.136 · DOI
- Zhou, 2019, Dissemination of resistance genes in duck/fish polyculture ponds in Guangdong Province: correlations between Cu and Zn and antibiotic resistance genes, Environ. Sci. Pollut. Res., 26, 8182, 10.1007/s11356-018-04065-2 · DOI
- Zurfluh, 2013, Characteristics of extended-spectrum β-lactamase- and carbapenemase-producing Enterobacteriaceae isolates from rivers and lakes in Switzerland, Appl. Environ. Microbiol., 79, 3021, 10.1128/AEM.00054-13 · DOI
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Mahmud, Z., Manik, M. R. K., Rahman, A., Karim, M. M., & Islam, L. N. (2024) · Scientific Reports · doi:10.1038/s41598-024-71472-6 · Cited by 22
Metadata
- Authors
- Gupta, S., Graham, D. W., Sreekrishnan, T. R., & Ahammad, S. Z.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2023-01
- Volume
- 857
- Pages
- 159059
- ISSN
- 0048-9697
- Cited by
- 104
- References
- 0
- Language
- en
- Licence
- Funders
- Department of Biotechnology, Ministry of Science and Technology, India (- RP03711)
- Indian Council of Medical Research (3/1/3/JRF-2014/HRD-60, 31481)
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