Huan Jing Ke Xue. 2021 Oct 8;42(10):4925-4932. doi: 10.13227/j.hjkx.202101043.
ABSTRACT
Antibiotics and heavy metals are both important environmental pollutants and selective stressors for antibiotic resistance. However, the impact of their environmental concentrations on antibiotic resistance levels is still unclear. In this paper, research published before 2019 reporting the abundance of antibiotic resistance genes(ARGs), antibiotics concentrations, or heavy metal concentrations were extracted from the Web of Science database, and then statistical regression was used to investigate their correlative association. The results show that antibiotic selection pressure has a statistically significant effect on the increase in the abundance of ARGs in environmental media such as surface water, sediment, and soil, even at very low antibiotic concentrations(P<0.05). Different classes of antibiotics show different potential to select and enrich ARGs. Heavy metals and the interaction between antibiotics and heavy metals also have significant effects on ARG transmission(P<0.05). Multivariate statistical regression models can better explain the variance of ARG abundance, with R2 values for the water phase and solid phase environmental samples of 0.482 and 0.707 respectively, which are much higher than those achieved using univariate regression models. However, additional environmental factors not included may also affect ARG abundance. The results of this work provide a basis for the evaluation and control of environmental antibiotic resistance.
PMID:34581136 | DOI:10.13227/j.hjkx.202101043
