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Ohore OE, Zhang S, Guo S, Addo FG, Manirakiza B, Zhang W. Ciprofloxacin increased abundance of antibiotic resistance genes and shaped microbial community in epiphytic biofilm on Vallisneria spiralis in mesocosmic wetland. BIORESOURCE TECHNOLOGY 2021; 323:124574. [PMID: 33412499 DOI: 10.1016/j.biortech.2020.124574] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/13/2020] [Accepted: 12/15/2020] [Indexed: 06/12/2023]
Abstract
This study investigated the fate of ciprofloxacin (CIP) in wetlands dominated by Vallisneria spiralis. About 99% of CIP was degraded from overlaying water within 4 days of treatment but significantly inhibited the nutrient removal capacity (TN, TP, and COD) by causing a drastic reduction in microbial aggregation in epiphytic biofilm and bacterial biodiversity. CIP triggered resistance mechanisms among dominant bacteria phyla such as Proteobacteria, Actinobacteria, and Planctomycetes causing their increased relative abundance. Additionally, the relative abundances of eukaryotic microorganisms (including; Chloroplastida, Metazoa, and Rhizaria) and 13 ARGs subtypes (including; Efflux pump, Tetracycline, Multi-drug, Rifampin, Beta-lactam, Peptide, Trimethoprim) were significantly increased. While dominant metabolic pathways such as Carbohydrate, amino acid, energy and nucleotide metabolism were inhibited. This study revealed that V. spiralis has great sorption capacity for CIP than sediment and though CIP was effectively removed from the overlying water, it caused a prolonged effect on the epiphytic biofilm microbial communities.
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Affiliation(s)
- Okugbe Ebiotubo Ohore
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China
| | - Songhe Zhang
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China.
| | - Shaozhuang Guo
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China
| | - Felix Gyawu Addo
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China
| | - Benjamin Manirakiza
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China; University of Rwanda (UR), College of Science and Technology (CST), Department of Biology, P.O. Box 3900, Kigali, Rwanda
| | - Wenjun Zhang
- Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, China
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Lv D, Duan R, Fan R, Mu H, Liang J, Xiao M, He Z, Qin S, Yang J, Jing H, Wang Z, Wang X. blaNDM and mcr-1 to mcr-5 Gene Distribution Characteristics in Gut Specimens from Different Regions of China. Antibiotics (Basel) 2021; 10:antibiotics10030233. [PMID: 33669137 PMCID: PMC7996585 DOI: 10.3390/antibiotics10030233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 02/19/2021] [Accepted: 02/23/2021] [Indexed: 11/16/2022] Open
Abstract
Antibiotic resistance has become a global public health concern. To determine the distribution characteristics of mcr and blaNDM in China, gene screening was conducted directly from gut specimens sourced from livestock and poultry, poultry environments, human diarrhea patients, and wild animals from 10 regions, between 2010–2020. The positive rate was 5.09% (356/6991) for mcr and 0.41% (29/6991) for blaNDM, as detected in gut specimens from seven regions, throughout 2010 to 2019, but not detected in 2020. The detection rate of mcr showed significant differences among various sources: livestock and poultry (14.81%) > diarrhea patients (1.43%) > wild animals (0.36%). The detection rate of blaNDM was also higher in livestock and poultry (0.88%) than in diarrhea patients (0.17%), and this was undetected in wildlife. This is consistent with the relatively high detection rate of multiple mcr genotypes in livestock and poultry. All instances of coexistence of the mcr-1 and blaNDM genes, as well as coexistence of mcr genotypes within single specimens, and most new mcr subtypes came from livestock, and poultry environments. Our study indicates that the emergence of mcr and blaNDM genes in China is closely related to the selective pressure of carbapenem and polymyxin. The gene-based strategy is proposed to identify more resistance genes of concern, possibly providing guidance for the prevention and control of antimicrobial resistance dissemination.
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Affiliation(s)
- Dongyue Lv
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao 266021, China;
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Ran Duan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Rong Fan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Hui Mu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Junrong Liang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Meng Xiao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Zhaokai He
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Shuai Qin
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Jinchuan Yang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Huaiqi Jing
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
| | - Zhaoguo Wang
- Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao 266021, China;
- Correspondence: (Z.W.); (X.W.)
| | - Xin Wang
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (R.D.); (R.F.); (H.M.); (J.L.); (M.X.); (Z.H.); (S.Q.); (J.Y.); (H.J.)
- Correspondence: (Z.W.); (X.W.)
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16S rRNA Sequencing Analysis of the Gut Microbiota in Broiler Chickens Prophylactically Administered with Antimicrobial Agents. Antibiotics (Basel) 2021; 10:antibiotics10020146. [PMID: 33540533 PMCID: PMC7912790 DOI: 10.3390/antibiotics10020146] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/26/2021] [Accepted: 01/28/2021] [Indexed: 12/12/2022] Open
Abstract
In poultry production, gut microbiota (GM) plays a pivotal role and influences different host functions related to the efficiency of production performances. Antimicrobial (AM) use is one of the main factors affecting GM composition and functions. Although several studies have focused their attention on the role of AMs as growth promoters in the modulation of GM in broilers, the consequences of higher AM concentrations administered during prophylactic treatments need to be better elucidated. For this purpose, 16S rRNA gene sequencing was performed to evaluate the impact of different prophylactic AM protocols on the composition and diversity of the broiler GM. Diversity analysis has shown that AM treatment significantly affects alpha diversity in ileum and beta diversity in both ileum and caecum. In ileal samples, the Enterobacteriaceae family has been shown to be particularly affected by AM treatments. AMs have been demonstrated to affect GM composition in broiler. These findings indicate that withdrawal periods were not enough for the restoral of the original GM. Further studies are needed for a better elucidation of the negative effects caused by an altered GM in broilers.
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Tang B, Yang H, Jia X, Feng Y. Coexistence and characterization of Tet(X5) and NDM-3 in the MDR-Acinetobacter indicus of duck origin. Microb Pathog 2020; 150:104697. [PMID: 33347964 DOI: 10.1016/j.micpath.2020.104697] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/07/2020] [Accepted: 12/13/2020] [Indexed: 12/30/2022]
Abstract
Tigecycline and carbapenem are last-resort antibiotics for serious infections caused by pathogens with multi-drug resistance (MDR). Whereas, bacterial pathogens with co-resistance to tigecycline and carbapenem are poorly addressed. Here we report a tigecycline- and carbapenem-resistant Acinetobacter indicus strain HY20 of duck origin, which co-produces Tet(X5) and NDM-3. Tet(X5) is harbored by a novel plasmid pAI01 (116,992 bp long), which carries 10 antimicrobial resistance genes (AMRs), and heavy metal resistance system cobalt-zinc-cadmium (czc) gene cluster. Unlike that tet(X5) is located in the res-tet(X5)-xerD segment of plasmid, the chromosomal blaNDM-3 is flanked by insertion ISAba125. Collectively, our result represents an example of co-carriage of tet(X5) and blaNDM-3, heightening the importance of AMR surveillance needed in poultry production.
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Affiliation(s)
- Biao Tang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products & Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, 310021, China; Department of Pathogen Biology & Microbiology and Department of General Intensive Care Unit of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China
| | - Hua Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products & Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang, 310021, China
| | - Xu Jia
- Non-coding RNA and Drug Discovery Key Laboratory of Sichuan Province, Chengdu Medical College, Chengdu, Sichuan, 610500, China
| | - Youjun Feng
- Department of Pathogen Biology & Microbiology and Department of General Intensive Care Unit of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, China; Non-coding RNA and Drug Discovery Key Laboratory of Sichuan Province, Chengdu Medical College, Chengdu, Sichuan, 610500, China; College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
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