Flores-Vargas Gabriela, Korber Darren R, Bergsveinson Jordyn
Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Watershed Hydrology and Ecology Research Division, Environment and Climate Change Canada, Saskatoon, SK, Canada.
Front Microbiol. 2023 Aug 1;14:1194952. doi: 10.3389/fmicb.2023.1194952. eCollection 2023.
The effects of sub-minimum inhibitory concentrations (sub-MICs) of antibiotics on aquatic environments is not yet fully understood. Here, we explore these effects by employing a replicated microcosm system fed with river water where biofilm communities were continuously exposed over an eight-week period to sub-MIC exposure (1/10, 1/50, and 1/100 MIC) to a mix of common antibiotics (ciprofloxacin, streptomycin, and oxytetracycline). Biofilms were examined using a structure-function approach entailing microscopy and metagenomic techniques, revealing details on the microbiome, resistome, virulome, and functional prediction. A comparison of three commonly used microbiome and resistome databases was also performed. Differences in biofilm architecture were observed between sub-MIC antibiotic treatments, with an overall reduction of extracellular polymeric substances and autotroph (algal and cyanobacteria) and protozoan biomass, particularly at the 1/10 sub-MIC condition. While metagenomic analyses demonstrated that microbial diversity was lowest at the sub-MIC 1/10 antibiotic treatment, resistome diversity was highest at sub-MIC 1/50. This study also notes the importance of benchmarking analysis tools and careful selection of reference databases, given the disparity in detected antimicrobial resistance genes (ARGs) identity and abundance across methods. Ultimately, the most detected ARGs in sub-MICs exposed biofilms were those that conferred resistance to aminoglycosides, tetracyclines, β-lactams, sulfonamides, and trimethoprim. Co-occurrence of microbiome and resistome features consistently showed a relationship between Proteobacteria genera and aminoglycoside ARGs. Our results support the hypothesis that constant exposure to sub-MICs antibiotics facilitate the transmission and promote prevalence of antibiotic resistance in riverine biofilms communities, and additionally shift overall microbial community metabolic function.
抗生素亚最低抑菌浓度(sub-MICs)对水生环境的影响尚未完全了解。在此,我们通过使用一个以河水为食的重复微观世界系统来探究这些影响,在该系统中,生物膜群落连续八周暴露于亚MIC暴露水平(1/10、1/50和1/100 MIC)的常见抗生素混合物(环丙沙星、链霉素和土霉素)中。使用包括显微镜和宏基因组技术的结构功能方法对生物膜进行检查,揭示了微生物组、抗性组、病毒组和功能预测的细节。还对三个常用的微生物组和抗性组数据库进行了比较。在亚MIC抗生素处理之间观察到生物膜结构的差异,细胞外聚合物以及自养生物(藻类和蓝细菌)和原生动物生物量总体减少,特别是在1/10亚MIC条件下。虽然宏基因组分析表明微生物多样性在亚MIC 1/10抗生素处理时最低,但抗性组多样性在亚MIC 1/50时最高。鉴于不同方法检测到的抗微生物抗性基因(ARG)的身份和丰度存在差异,本研究还指出了基准分析工具和仔细选择参考数据库的重要性。最终,在暴露于亚MICs的生物膜中检测到最多的ARG是那些赋予对氨基糖苷类、四环素类、β-内酰胺类、磺胺类和甲氧苄啶抗性的基因。微生物组和抗性组特征的共现始终显示变形菌属与氨基糖苷类ARG之间存在关系。我们的结果支持这样的假设,即持续暴露于亚MICs抗生素会促进抗性在河流生物膜群落中的传播和流行,并额外改变整个微生物群落的代谢功能。