Minimum influent concentrations of oxytetracycline, streptomycin and spiramycin in selecting antibiotic resistance in biofilm type wastewater treatment systems

Tian, Zhe; Palomo, Alejandro; Zhang, Hong; L, Xin; Liu, Ruyin; Awad, Mohammed; Smets, Barth F.; Zhang, Yu; Yang, Min

doi:10.1016/j.scitotenv.2020.137531

Cited by 44 publications

(25 citation statements)

References 70 publications

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“…The MSC for the rpsL K42R mutant was 0.3 mg/L (160-fold lower than the MIC) during planktonic growth, which is slightly lower than the MSC determined previously for the same mutation in Salmonella enterica serovar Typhimurium ( Table 3 ) ( 12 ). The MSC during biofilm growth (2.2 mg/L) was higher than that for planktonic growth but well below the MBIC (40-fold), and it is in line with published data on selection for streptomycin-resistant heterotrophic bacteria in a wastewater biofilm (fiber ball) treatment system ( Table 3 ) ( 24 ).…”

Section: Discussionsupporting

confidence: 90%

“…In this study, we used the clinically relevant uropathogenic biofilm-forming E. coli strain CFT073 to assess the MSCs and fitness costs for different antibiotics and resistant mutants. The choice of antibiotics examined was based on both the high clinical relevance of the antibiotic (trimethoprim, nitrofurantoin, and fosfomycin) for the treatment of E. coli infections and the presence of previous data on MSCs for comparative purposes between studies, e.g., trimethoprim ( 16 , 23 ) and streptomycin ( 12 , 16 , 24 ). The choice of resistance mechanisms was based mainly on clinical relevance in E. coli (trimethoprim [ dfr gene] [ 32 ], nitrofurantoin [ nfsAB mutations] [ 33 ], and fosfomycin [ uhpT mutation] [ 34 ]) as well as other bacteria (streptomycin [two different rpsL mutations] [ 35 ] and rifampicin [ rpoB mutation] [ 36 ]).…”

Section: Resultsmentioning

confidence: 99%

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Antibiotic Minimal Selective Concentrations and Fitness Costs during Biofilm and Planktonic Growth

Hjort

Fermér

Tang

et al. 2022

mBio

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Our understanding of how and where antibiotic resistance is selected in response to antibiotic exposure is still limited, and this is particularly true for selective processes when bacteria are growing in biofilms, arguably the most significant mode of growth of bacteria in human and animal infections as well as in other settings. In this study, we compared how different types of resistant E. coli strains were selected in response to antibiotic exposure during planktonic and biofilm growth.

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Section: Discussionsupporting

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Antibiotic Minimal Selective Concentrations and Fitness Costs during Biofilm and Planktonic Growth

Hjort

Fermér

Tang

et al. 2022

mBio

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“…Besides reducing the chances of selecting ARBs, the use of antibiotics adsorbents may preserve the microbiomes, reducing the risks of infections (Chapman et al, 2016). Importantly, the procedures for removing antibiotics should not be limited to clinical settings, but their implementation in wastewater treatment plants would reduce selection of AR in non-clinical ecosystems (Tian et al, 2020).…”

Section: Controlling Resistance: Local and Global Interventionsmentioning

confidence: 99%

Antibiotic Resistance: Moving From Individual Health Norms to Social Norms in One Health and Global Health

et al. 2020

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Antibiotic resistance is a problem for human health, and consequently, its study had been traditionally focused toward its impact for the success of treating human infections in individual patients (individual health). Nevertheless, antibiotic-resistant bacteria and antibiotic resistance genes are not confined only to the infected patients. It is now generally accepted that the problem goes beyond humans, hospitals, or long-term facility settings and that it should be considered simultaneously in human-connected animals, farms, food, water, and natural ecosystems. In this regard, the health of humans, animals, and local antibiotic-resistance-polluted environments should influence the health of the whole interconnected local ecosystem (One Health). In addition, antibiotic resistance is also a global problem; any resistant microorganism (and its antibiotic resistance genes) could be distributed worldwide. Consequently, antibiotic resistance is a pandemic that requires Global Health solutions. Social norms, imposing individual and group behavior that favor global human health and in accordance with the increasingly collective awareness of the lack of human alienation from nature, will positively influence these solutions. In this regard, the problem of antibiotic resistance should be understood within the framework of socioeconomic and ecological efforts to ensure the sustainability of human development and the associated human-natural ecosystem interactions.

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“…It has already been found that continuous exposure of natural biofilms to low concentrations of ATBs can lead to various consequences, such as changes in taxonomic composition ( Cairns et al, 2018 ; Danner et al, 2019 ; Tian et al, 2020 ), effects on metabolic activity ( Crabbé et al, 2019 ), or even cell death ( Friman et al, 2015 ; Gebreyohannes et al, 2019 ). However, the most important concern relates to the emergence of antimicrobial resistance (AMR) ( Gullberg, 2014 ; Flemming et al, 2016 ; Khan et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

River Biofilms Microbiome and Resistome Responses to Wastewater Treatment Plant Effluents Containing Antibiotics

et al. 2022

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Continuous exposure to low concentrations of antibiotics (sub-minimal inhibitory concentration: sub-MIC) is thought to lead to the development of antimicrobial resistance (AMR) in the environmental microbiota. However, the relationship between antibiotic exposure and resistance selection in environmental bacterial communities is still poorly understood and unproven. Therefore, we measured the concentration of twenty antibiotics, resistome quality, and analyzed the taxonomic composition of microorganisms in river biofilms collected upstream (UPS) and downstream (DWS) (at the point of discharge) from the wastewater treatment plant (WWTP) of Poitiers (France). The results of statistical analysis showed that the antibiotic content, resistome, and microbiome composition in biofilms collected UPS were statistically different from that collected DWS. According to Procrustes analysis, microbial community composition and antibiotics content may be determinants of antibiotic resistance genes (ARGs) composition in samples collected DWS. However, network analysis showed that the occurrence and concentration of antibiotics measured in biofilms did not correlate with the occurrence and abundance of antibiotic resistance genes and mobile genetic elements. In addition, network analysis suggested patterns of co-occurrence between several ARGs and three classes of bacteria/algae: Bacteroidetes incertae sedis, Cyanobacteria/Chloroplast, and Nitrospira, in biofilm collected UPS. The absence of a direct effect of antibiotics on the selection of resistance genes in the collected samples suggests that the emergence of antibiotic resistance is probably not only due to the presence of antibiotics but is a more complex process involving the cumulative effect of the interaction between the bacterial communities (biotic) and the abiotic matrix. Nevertheless, this study confirms that WWTP is an important reservoir of various ARGs, and additional efforts and legislation with clearly defined concentration limits for antibiotics and resistance determinants in WWTP effluents are needed to prevent their spread and persistence in the environment.

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Minimum influent concentrations of oxytetracycline, streptomycin and spiramycin in selecting antibiotic resistance in biofilm type wastewater treatment systems

Cited by 44 publications

References 70 publications

Antibiotic Minimal Selective Concentrations and Fitness Costs during Biofilm and Planktonic Growth

Antibiotic Minimal Selective Concentrations and Fitness Costs during Biofilm and Planktonic Growth

Antibiotic Resistance: Moving From Individual Health Norms to Social Norms in One Health and Global Health

River Biofilms Microbiome and Resistome Responses to Wastewater Treatment Plant Effluents Containing Antibiotics

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