Method for assessing microbial drug resistance multi-level risks of antibiotic residues in water environment

A method for assessing microbial drug resistance multi-level risks of antibiotic residues in water environment, comprising the following steps:

• S1, environment monitoring:
• S1-1:
• background survey on production, use and emission of antibiotics in a target watershed is carried out, a target antibiotic monitoring list is established for ecological risk assessment, and environment monitoring of target antibiotics is then carried out;
• S1-2:
• target antibiotic derivative monitoring is carried out on the target watershed, a target antibiotic derivative monitoring list also needs to be established if byproduct reaction or biotransformation of target antibiotics occurs, and then environment monitoring of target antibiotic derivatives is carried out;
• S2, preliminary screening of antibiotics:
• the target antibiotics of the target watershed obtained in step S1-1 and the target antibiotic derivatives of the target watershed obtained in step S1-2 are preliminarily screened, step S3 for microbial drug resistance assessment is carried out for further assessment if any one of S2-1 to S2-2 is met;
• S2-1, determination of n-octanol/water partition coefficient:
• the n-octanol/water partition coefficient (Kow) of the target antibiotic or target antibiotic derivative is calculated, and the logarithmic value of the calculated n-octanol/water partition coefficient with a base of 10 is calculated, the target antibiotic or target antibiotic derivative has strong liposolubility when 1 g Kow≥3.5, and then step S3 for microbial drug resistance assessment is carried out for further assessment;
• S2-2, determination of antibiotic environment concentration:
• the environment concentration (MEC) of the target antibiotic or target antibiotic derivative is measured, the target antibiotic or target antibiotic derivative has a sustained input source when MEC≥10, and then step S3 for microbial drug resistance assessment is carried out for further assessment;
• S3, assessment of microbial drug resistance:
• the drug resistance risk of microbial flora in the target watershed is characterized by using drug resistance risk quotient value (RQr) which is represented by the following formula:
• (RQr)=MEC/PNECr;
• in the formula, MEC is the environment concentration of the target antibiotic or target antibiotic derivative measured in step S2-2, PNECr is a drug resistance prediction invalid concentration of microbial flora in the target watershed, which is represented by the following formula:
• PNECr=MIC/AF;
• in the formula, MIC is the minimum inhibitory concentration of microbial flora in the target watershed, AF is a dimensionless assessment factor, MIC of the microbial flora in the target watershed is determined by European Union Committee on Antimicrobial Susceptibility Testing (EUCAST) database, thereby obtaining PNECr of the microbial flora in the target watershed;
• the drug resistance risk level of the microbial flora in the target watershed is divided into 4 grades according to the size of (RQr) value:
• no risk is (RQr)<0.01, low risk is 0.01<(RQr)<0.1, medium risk is 0.1<(RQr)<1 and high risk is (RQr)>1, the drug resistance risk level of the microbial flora in the target watershed is high when (RQr)>0.1, and then step S4 for high-level assessment is carried out for further assessment;
• S4, high-level assessment:
• S4-1, extraction of environmental microbes:
• 50 weight parts of water samples in the target watershed are collected and then filtered through a filter membrane, the filter membrane is cut into fragments with an area of 15-28 mm2 after filtration, the fragments together with a phosphate buffer solution that is 1.2-1.5 times of the fragments in volume are put into a container, and then glass beads that are 2.5-3 times of the fragments in volume are added into the container, vortex oscillation is carried out for 15-20 min, and then the filter membrane and the glass beads are removed by filtration to obtain bacterial solution supernatant for later use;
• S4-2, gradient concentration culture of antibiotics:
• the bacterial solution supernatant obtained in step S4-1 is respectively added into 5-6 sterilized conical flasks, 3 glass slides are put into each conical flask for stimulating biological membrane development of sediments, 0.2-0.5 weight part of LB culture medium is added, and then target antibiotics or target antibiotic derivatives with different concentrations that are 0, 0.01 μg/L, 0.1 μg/L, 1 μg/L, 10 μg/L and 100 μg/L respectively are added into the 5-6 different sterilized conical flasks, and then oscillatory reaction is carried out for 14 days at room temperature of 28-33° C. to obtain a target solution;
• S4-3, DNA extraction:
• DNA in the target solution obtained in step S4-2 is extracted while collecting bacteria on the glass slides in the sterilized conical flasks to the phosphate buffer solution to extract bacterial DNA;
• S4-4, determination of resistant genes:
• resistant genes corresponding to the target antibiotics or target antibiotic derivatives are determined, the abundance of the target solution DNA or bacterial DNA is determined to calculate the average relative abundance (P) of the resistant genes, and meanwhile the average relative abundance P0 of the resistant genes before step S4 is calculated, and selectivity coefficient (S) is calculated, which is represented by the following formula:
• S=In(P/P0)
• S4-5, model fitting:
• the antibiotic concentration (C or MSC) is taken as a horizontal ordinate, and the selectivity coefficient (S) corresponding to the target solution DNA or bacterial DNA is taken as a longitudinal ordinate, and fitting is carried out by using logistic model, when S=0, the corresponding antibiotic concentration is MSC value, the MSC values of the target solution DNA or bacterial DNA are compared, and the smaller MSC value is taken as control basis, the MSC value indicates that microbes carrying drug-resistant genes cannot be enriched under antibiotic conditions being higher than the antibiotic concentration, so that the relative abundance of drug-resistant genes in the microbial flora is increased.