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Cited by 383Pharmaceutical and Antibiotic Environmental ImpactsWastewater Treatment and Nitrogen RemovalAntibiotic Resistance in Bacteria

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Deciphering of microbial community and antibiotic resistance genes in activated sludge reactors under high selective pressure of different antibiotics

Zhao, Renxin, Feng, Jie, Liu, Jie, Fu, Wenjie, Li, Xiaoyan, Li, Bing·2019·Water Research
DOI 10.1016/j.watres.2018.12.034
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Abstract

Currently, the effects of high antibiotic concentrations on the performance of microbiota and antibiotic resistance genes (ARGs) in activated sludge (AS) process are not well characterized. Lab-scale batch reactors were performed to evaluate the dynamics of microbial community and ARGs in response to six antibiotics at different concentrations using high-throughput sequencing-based 16S rRNA gene and metagenomic analyses. The presence of antibiotics remarkably decreased the microbial diversity, caused a great change of the microbiota structure, and exerted a selective pressure on the enrichment of potential antibiotic resistant bacteria (ARB), such as Arthrobacter, Thauera, Geothrix, Rudaea, Aridibacter, Conexibacter, Terrimonas, etc. High antibiotic selective pressures increased ARG abundance but simultaneously reduced ARG number. In total, 491 ARG subtypes belonging to 20 ARG types were detected and kanamycin treatment showed the highest ARG abundances. A core set of 54 ARG subtypes that accounted for 66.7%-99.6% of the total ARG abundances were shared by all samples. The increase of the abundances of both corresponding and non-corresponding ARGs under a specific antibiotic treatment revealed the collateral effects of antibiotic selective pressure. Microbial community may play an important role in the composition of ARGs. Network analysis indicated that both internal-type and external-type of ARGs exhibited higher non-random co-occurrence incidences and 18 genera were specul…

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Metadata

Authors
Zhao, R., Feng, J., Liu, J., Fu, W., Li, X., & Li, B.
Affiliations
Tsinghua Shenzhen International Graduate School (CN)
Corresponding author
Li, Bing
ORCID
Venue
Water Research
Publisher
Elsevier BV
Published
2019-03
Volume
151
Pages
388-402
ISSN
0043-1354 (ISSN-L)
DOI
10.1016/j.watres.2018.12.034
OpenAlex
W2906779965
Cited by
383
References
2
Citations by year
2026: 40 · 2025: 62 · 2024: 63 · 2023: 52 · 2022: 70 · 2021: 50 · 2020: 36 · 2019: 8
FWCI
8.87
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Water Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (51508302)
  • Shenzhen Knowledge Innovation Program–Basic Research Project (JCYJ20170412171918012, JCYJ20170817161009390)
  • Shenzhen Overseas High-level Talents Innovation and Entrepreneurship Project (KQJSCX20160226190815)
  • Development and Reform Commission of Shenzhen Municipality
Topics
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
  • Physical Sciences › Environmental Science › Pollution › Wastewater Treatment and Nitrogen Removal
  • Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
Keywords
antibiotic resistance genes, activated sludge, microbial communities, antibiotic selective pressure, kanamycin, ARG co-occurrence networks, ARG host bacteria, microbial diversity, antibiotic-resistant bacteria, ARG dissemination
MeSH terms
Anti-Bacterial Agents, Drug Resistance, Microbial, Genes, Bacterial, RNA, Ribosomal, 16S, Sewage, Microbiota

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