| Literature DB >> 30546348 |
Honghong Guo1, Shuhong Xue2, Mubasher Nasir1, Jialong Lv1, Jei Gu1.
Abstract
The effects of bentonite (BT), a commonly used heavy metal deactivator, on the ARGs and microbial communities in soils and lettuce systems contaminated by heavy metals and antibiotics are unclear. A study was conducted to investigate the effect of BT on the mobility of antibiotic resistance genes in oxytetracycline and cadmium contaminated soil. Results showed that the addition of BT reduced the accumulation of OTC and ARGs in the soil and lettuce roots, but increased the abundance of ARGs in lettuce leaves, and increase the risk of human pathogenic bacteria (HPB) transferring to lettuce leaves. Redundancy analysis showed that environmental factors (OTC, H2O, SOM, and pH) were the dominant factors that influence the distribution of ARGs and intI1. Network analysis showed that Proteobacteria and Bacteroidetes were the major host bacteria which caused changes in ARGs and intI1. There were significant positive correlations between ermX and ermQ, and a large number of HPB. The co-occurrence of intl1 with some ARGs (tetC, tetG, ermQ, sul1, and sul2), may threaten human health due to the dispersion of ARGs via horizontal gene transfer.Entities:
Keywords: antibiotic resistance gene; bentonite; cadmium; human pathogenic bacteria; oxytetracycline
Year: 2018 PMID: 30546348 PMCID: PMC6279858 DOI: 10.3389/fmicb.2018.02722
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1OTC concentrations in soil and leaves under different treatments.
FIGURE 2Relative abundances of ARGs in dry soil and fresh lettuce samples. Different letters within a group indicate significant differences at P < 0.05. Error bars indicate the SD based on three replicates.
FIGURE 3Heatmap showing the relative abundances of the top 35 genera in all samples. The 35 genera belonged to eight phyla, as shown by different colors. The shift of the bacterial community compositions are depicted by the color intensity ranged from 0 to 4.
FIGURE 4Redundancy analysis of the relationships among the main bacterial phyla, environmental factors, and ARGs (relative abundances).
FIGURE 5Network analysis of co-occurring ARGs (relative abundances), human pathogens bacterial, and potential host bacteria (top 30 genera) based on Pearson’s correlation coefficients (P < 0.01, r > 0.80). A node represents an ARG or bacterium, where the node size is proportional to the number of connections (degree). An edge represents a significant and strong correlation, where the edge thickness is proportional to Pearson’s correlation coefficients (weight). Different colors denote different bacterial phyla and ARGs.