Effects of antibiotics (enrofloxacin) on microbial community of water and sediment in an aquatic ecological model.

In order to explore the impact of antibiotics (enrofloxacin) on microbial community in aquatic environment, an indoor aquatic ecological model was built, and different concentrations of enrofloxacin (0.05, 0.5, 5, and 50 mg/L) were added in the aquatic ecological model. In addition, the water and sediment samples were collected on the 0, 7, 30, and 60 days, and the changes in microbial community were studied through 16S rDNA high-throughput sequencing. The results showed that when the concentration of enrofloxacin was 50 mg/L, the relative abundance of Actinomycetes was increased. In the water, the bacterial richness and diversity communities first decreased and then gradually recovered with the passage of time; On the 7th day, the diversity and richness index of species in the treatment groups with enrofloxacin at 5 and 50 mg/L decreased to the lowest; On the 30th day, the diversity and richness index of species began to rise; On the 60th day, the diversity index and richness index of water species began to increase, while the diversity index and richness index of sediment species decreased. In conclusion, the addition of enrofloxacin negatively affected the microbial community structure in an indoor aquatic ecological model, 50 mg/L enrofloxacin could increase the relative abundance of Actinomycetes, and decrease the diversity and richness index of water and sediment.

Identification of antimicrobial resistance genes and drug resistance analysis of Escherichia coli in the animal farm environment.

BACKGROUND: Antibiotics are widely used to prevent and control diseases and infection for reducing the morbidity and mortality of animals, because of the high-density stocking in modern food-source animal production. However, the overuse of antibiotics in animal farms results in antimicrobial resistance (AMR), and causes public health issues through the food chain. Therefore, the AMR analysis of the farms and their surrounding environments is great significance to public health. METHODS: To investigate the distribution of AMR genes and analyze the antimicrobial drug resistance of Escherichia coli in feces and surrounding soil of animal farm in Zhanjiang, China. E. coli was isolated and identified through PCR, and the distribution of 21 common antimicrobial drug resistance genes were also detected by using PCR. The minimum inhibitory concentration (MIC) of the isolated E. coli strains against 22 drugs was detected using the broth double dilution method. RESULTS: The results showed that the different AMR genes were detected in both feces and soil, and the detection rate of each AMR gene was higher than 50%. The detection rate of most AMR genes in feces was higher than those in soil. Besides, the isolated 88 strains of E. coli were resistant to 22 kinds of antimicrobial drugs. The highest drug resistance rate (100%) was observed for amoxicillin, colistin, doxycycline and oxytetracycline, and the drug resistance rate of cephalosporins was less than 10%. The drug resistance rate of the isolated strains of E. coli from feces was higher than those from soil, however, in both of feces and soil, most of the isolated strains of E. coli from (77.55% of isolates from feces, 79.49% of isolates from soil and total 78.41%) showed multi-drug resistance (resistant to 15-22 drugs). CONCLUSION: Overall, the detection rate of AMR genes in feces and soil from hog farms was high, and the isolated strains of E. coli from both feces and soil showed multi-drug resistance. Also, the results showed that the AMR genes and drug resistance in the feces and soil from the hog farms are similar. These findings suggested that the AMR genes could be transmitted horizontally from the animal feces to surrounding environments of farms. Therefore, it is urgent need to strengthen the monitoring and guide the rational use of antimicrobial drugs in the hog industry of Zhanjiang, China.

Antimicrobial Resistance of Escherichia coli From Aquaculture Farms and Their Environment in Zhanjiang, China.

Antimicrobial resistance (AMR) has become a major concern worldwide. To evaluate the AMR of Escherichia coli in aquaculture farms of Zhanjiang, China, a total of 90 samples from the water, soil, and sediment of three aquaculture farms (farms I, II, and III) in Zhanjiang were collected, and 90 strains of E. coli were isolated for drug resistance analysis and AMR gene detection. The results indicated that the isolated 90 strains of E. coli have high resistance rates to penicillin, amoxicillin, ampicillin, tetracycline, compound sulfamethoxazole, sulfisoxazole, chloramphenicol, florfenicol, and rifampin (≥70%). Among these antimicrobial drugs, the resistance rate to rifampicin is as high as 100%. Among the isolated 90 strains of E. coli, all of them were resistant to more than two kinds of antimicrobial drugs, the number of strains resistant to nine kinds of drugs was the largest (19 strains), and the most resistant strain showed resistance to 16 kinds of antibacterial drugs. Regarding the AMR genes, among the three aquaculture farms, the most resistance genes were detected in farm II (28 species). The detection rate of bla TEM , bla CIT , bla NDM , floR, OptrA, cmlA, aphA1, Sul2, oqxA, and qnrS in 90 isolates of E. coli was high (≥50%). The detection rate of carbapenem-resistant genes, such as bla KPC , bla IMP , and cfr, was relatively lower ( ≤ 30%), and the detection rate of mcr2 was the lowest (0). At least four AMR genes were detected for each strain, and 15 AMR genes were detected at most. Among them, the number of strains that carried 10 AMR genes was the largest (15 strains). Finally, a correlation analysis found that the AMR genes including bla TEM , bla CIT , floR, OptrA, cmlA, aac(3)-II, Sul2, ereA, ermB, oqxB, qnrA, mcr1, and mcr2 had a high correlation rate with drug resistance (≥50%). To summarize, the 90 strains of E. coli isolated from water, surrounding soil, and sediment samples showed resistance to multi-antimicrobial drugs and carried various antimicrobial resistance genes. Thus, it is essential to strengthen the rational use of antimicrobial drugs, especially the amide alcohol drugs, and control the AMR in the aquaculture industry of Zhanjiang, China.

Identification of drug resistance genes and drug resistance analysis of Salmonella in the duck farm environment of Zhanjiang, China.

This study investigated and identified the distribution of drug resistance genes in feces, soil, and water of duck farms in Zhanjiang, China, and analyzed the drug resistance of Salmonella in the duck farm environment. PCR was used to assess the distribution of 25 resistance genes that are common in the duck farm environment. The isolation, biochemical identification, PCR identification of Salmonella, and the minimum inhibitory concentration (MIC) of 22 drugs were measured by micro-broth double dilution. In water, 25 drug resistance genes were detected, 24 in soil, and 23 in feces. Among them, the detection rate of the aadA1 gene in soil reached 100%, 13 drug resistance genes had a detection rate above 80%, and five species had a detection rate below 50%. In water, the detection rate of the floR and aadA1 genes was 100%, 12 drug resistance genes had a detection rate above 80%, and eight genes had a detection rate below 50%. In feces, nine drug resistance genes had a detection rate of 100%, nine genes had a detection rate above 80%, and one gene had a detection rate below 50%. In addition, 92 strains of Salmonella were isolated and identified, and their resistance rate to nine drugs was as high as 100%. All isolated Salmonella can tolerate at least nine drugs, 55.43% (51/92) of the strains can tolerate more than 16 drugs, and 4.35% (4/92) of the strains were resistant to up to 21 drugs. In conclusion, the present experiment suggested that drug resistance genes were ubiquitous in the duck farm environment in Zhanjiang and that these drug resistance genes may spread horizontally between feces, soil, and water. Moreover, drug resistance and multi-drug resistance were found for 92 isolated Salmonella strains from the duck farm environment. The government should consequently strengthen the regulation of antimicrobial drug use in duck farms.

[Effects of colistin sulfate residue on soil microbial community structure].

By using fumigation extraction and phospholipid fatty acid (PLFA) methods, the change of characteristics of soil microbial community structure caused by residue of colistin sulfate (CS) was studied. The results showed that the CS (w(cs) > or = 5 mg x kg(-1)) had a significant effect on the microbial biomass carbon (MBC) and it was dose-dependent where MBC decreased with the increase of CS concentration in soil. The MBC in soil decreased by 52. 1% when the CS concentration reached 50 mg x kg(-1). The total PLFA of soil in each CS treatment was significantly decreased during the sampling period compared with the control group and showed a dose-dependent relationship. The soil microbial community structure and diversity in the low CS group (w(cs) = 0.5 mg x kg(-1)) were not significantly different from the control group on 7th and 49th day. However, they were significantly different on 21st and 35th day especially in the high CS group (w(cs) = 50 mg x kg(-1)). It was concluded that CS could change the structure of soil microorganisms and varied with time which might be caused by the chemical conversion and degradation of CS in soil.