Literature DB >> 29357075

Bacterial community structure and abundances of antibiotic resistance genes in heavy metals contaminated agricultural soil.

Fengli Zhang1, Xiaoxue Zhao2, Qingbo Li1, Jia Liu3, Jizhe Ding1, Huiying Wu1, Zongsheng Zhao2, Yue Ba1, Xuemin Cheng1, Liuxin Cui1, Hongping Li1, Jingyuan Zhu4.   

Abstract

Soil contamination with heavy metals is a worldwide problem especially in China. The interrelation of soil bacterial community structure, antibiotic resistance genes, and heavy metal contamination in soil is still unclear. Here, seven agricultural areas (G1-G7) with heavy metal contamination were sampled with different distances (741 to 2556 m) to the factory. Denaturing gradient gel electrophoresis (DGGE) and Shannon index were used to analyze bacterial community diversity. Real-time fluorescence quantitative PCR was used to detect the relative abundance of ARGs sul1, sul2, tetA, tetM, tetW, one mobile genetic elements (MGE) inti1. Results showed that all samples were polluted by Cadmium (Cd), and some of them were polluted by lead (Pb), mercury (Hg), arsenic (As), copper (Cu), and zinc (Zn). DGGE showed that the most abundant bacterial species were found in G7 with the lightest heavy metal contamination. The results of the principal component analysis and clustering analysis both showed that G7 could not be classified with other samples. The relative abundance of sul1 was correlated with Cu, Zn concentration. Gene sul2 are positively related with total phosphorus, and tetM was associated with organic matter. Total gene abundances and relative abundance of inti1 both correlated with organic matter. Redundancy analysis showed that Zn and sul2 were significantly related with bacterial community structure. Together, our results indicate a complex linkage between soil heavy metal concentration, bacterial community composition, and some global disseminated ARG abundance.

Entities:  

Keywords:  Agricultural soil; Antibiotic resistance genes; Bacterial community; Denaturing gradient gel electrophoresis; Heavy metal; Real-time fluorescence quantitative PCR

Mesh:

Substances:

Year:  2018        PMID: 29357075     DOI: 10.1007/s11356-018-1251-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  38 in total

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