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Prevalence and characteristics of the mcr-1 gene in retail meat samples in Zhejiang Province, China
Biao Tang , Jiang Chang , Yi Luo , Han Jiang , Canying Liu , Xingning Xiao , Xiaofeng Ji , Hua Yang
J. Microbiol. 2022;60(6):610-619.   Published online March 31, 2022
DOI: https://doi.org/10.1007/s12275-022-1597-y
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  • 10 Web of Science
  • 8 Crossref
AbstractAbstract
Considering the serious threat to food safety and public health posed by pathogens with colistin resistance, colistin was banned as a growth promoter in 2017 in China. In recent years, the resistance rate of Escherichia coli isolated from animal intestines or feces to colistin has decreased. However, the prevalence and characteristics of the mcr-1 gene in retail meat have not been well explored. Herein, 106 mcr-1-negative and 16 mcr- 1-positive E. coli isolates were randomly recovered from 120 retail meat samples and screened using colistin. The 106 E. coli isolates showed maximum resistance to sulfafurazole (73.58%) and tetracycline (62.26%) but susceptibility to colistin (0.00%). All 16 mcr-1-positive E. coli isolates showed resistance to colistin, were extended spectrum beta-lactamase (ESBL)-positive and exhibited complex multidrug resistance (MDR). For these 16 isolates, 17 plasmid replicons and 42 antibiotic resistance genes were identified, and at least 7 antibiotic resistance genes were found in each isolate. Acquired disinfectant resistance genes were identified in 75.00% (12/16) of the isolates. Furthermore, comparative genomic and phylogenetic analysis
results
indicated that these 16 mcr-1-positive E. coli isolates and the most prevalent mcr-1-harboring IncI2 plasmid in this study were closely related to other previously reported mcr-1-positive E. coli isolates and the IncI2 plasmid, respectively, showing their wide distribution. Taken together, our findings showed that retail meat products were a crucial reservoir of mcr-1 during the colistin ban period and should be continuously monitored.

Citations

Citations to this article as recorded by  
  • Regression models from portable NIR spectra for predicting the carcass traits and meat quality of beef cattle
    Nathália Veloso Trópia, Rizielly Saraiva Reis Vilela, Flávia Adriane de Sales Silva, Dhones Rodrigues Andrade, Adailton Camêlo Costa, Fernando Alerrandro Andrade Cidrini, Jardeson de Souza Pinheiro, Pauliane Pucetti, Mario Luiz Chizzotti, Sebastião de Cam
    PLOS ONE.2024; 19(5): e0303946.     CrossRef
  • IncHI1 plasmids mediated the tet(X4) gene spread in Enterobacteriaceae in porcine
    Jiangang Ma, Juan Wang, Hua Yang, Mengru Su, Ruichao Li, Li Bai, Jie Feng, Yuting Huang, Zengqi Yang, Biao Tang
    Frontiers in Microbiology.2023;[Epub]     CrossRef
  • Prevalence and molecular characteristics of polymyxin-resistant Enterobacterales in a Chinese tertiary teaching hospital
    Chenlu Xiao, Xuming Li, Lianjiang Huang, Huiluo Cao, Lizhong Han, Yuxing Ni, Han Xia, Zhitao Yang
    Frontiers in Cellular and Infection Microbiology.2023;[Epub]     CrossRef
  • Farm to table: colistin resistance hitchhiking through food
    Absar Talat, Carla Miranda, Patrícia Poeta, Asad U. Khan
    Archives of Microbiology.2023;[Epub]     CrossRef
  • Detection of mcr-1-harbouring Escherichia coli by quantum dot labelling of synthetic small peptides mimicking lipopolysaccharide receptors
    Chenghao Wang, Biao Tang, Jiusheng Wu, Xi Jin, Shuwen Ke, Hua Yang, Yuehuan Liu
    International Journal of Antimicrobial Agents.2023; 62(3): 106898.     CrossRef
  • Genomic characterization of multidrug-resistance gene cfr in Escherichia coli recovered from food animals in Eastern China
    Biao Tang, Juan Ni, Jiahui Lin, Yangying Sun, Hui Lin, Yuehong Wu, Hua Yang, Min Yue
    Frontiers in Microbiology.2022;[Epub]     CrossRef
  • Antimicrobial resistance and genomic characterization of Escherichia coli from pigs and chickens in Zhejiang, China
    Wei Zhou, Rumeng Lin, Zhijin Zhou, Jiangang Ma, Hui Lin, Xue Zheng, Jingge Wang, Jing Wu, Yuzhi Dong, Han Jiang, Hua Yang, Zhangnv Yang, Biao Tang, Min Yue
    Frontiers in Microbiology.2022;[Epub]     CrossRef
  • The Occurrence and Genomic Characteristics of mcr-1-Harboring Salmonella from Retail Meats and Eggs in Qingdao, China
    Changan Li, Xiulei Gu, Liping Zhang, Yuqing Liu, Yan Li, Ming Zou, Baotao Liu
    Foods.2022; 11(23): 3854.     CrossRef
Contrasting patterns of the bacterial and archaeal communities in a high-elevation river in northwestern China
Yang Hu , Jian Cai , Chengrong Bai , Keqiang Shao , Xiangming Tang , Guang Gao
J. Microbiol. 2018;56(2):104-112.   Published online February 2, 2018
DOI: https://doi.org/10.1007/s12275-018-7244-y
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  • 7 Crossref
AbstractAbstract
The patterns of macrobiota in lotic ecosystems have been extensively explored, however, the dynamics of microbiota remain poorly investigated, especially in the high-elevation region. To address this deficit, we collected eight samples to unveil the bacterial and archaeal community in the Kaidu river, located at the arid region of northwestern China (an average of 2,500 m a.s.l.). For the bacterial community, phylogenetically Betaproteobacteria prevailed, followed by Alphaproteobacteria and Actinobacteria; at the finer genus level, Limnohabitans and Variovorax were prominent. Along the river, the bacterial community showed a continuous succession. Specifically, their α- and β-diversity gradually increased, suggesting a distance-decay pattern. Additionally, there was an ecological transition between the dominant and the rare sub-community along the river: the relative abundance of the dominant members gradually decreased as the rare members increased. We report that temperature and spatial distance were significantly related to the variation of bacterial community. Variance partitioning analysis showed that the environmental factors contributed more to the bacterial community than did the spatial distance. In the case of the archaeal community, the methanogenic groups, mainly Methanosaeta and Methanosarcina, were prominent within the Kaidu river. Unlike the continuous change in the patterns of the bacterial community, the archaeal community showed a constant pattern along the river. Our results showed that the archaeal community was independent of the environmental and spatial factors. We propose that the inoculation of soil-derived archaea is responsible for the archaeal community in the Kaidu river. Together, our study demonstrated that the bacterial community in the high-elevation Kaidu river is a continuum, whereas the archaeal community is not.

Citations

Citations to this article as recorded by  
  • Planktonic archaea reveal stronger dispersal limitation and more network connectivity than planktonic bacteria in the Jinsha River of southwestern China
    Ge Cui, Juan Chen, Chao Wang, Peifang Wang, Bo Zhang, Han Gao, Rui Fu
    Freshwater Biology.2023; 68(11): 1995.     CrossRef
  • Insights on the particle-attached riverine archaeal community shifts linked to seasons and to multipollution during a Mediterranean extreme storm event
    Mégane Noyer, Maria Bernard, Olivier Verneau, Carmen Palacios
    Environmental Science and Pollution Research.2023; 30(17): 49685.     CrossRef
  • Using the health index of the environmental microbiota to predict the health status of aquatic wildlife
    Haile Yang, Qiong Zhou, Xia Guo, Zhigang Liu, Hui Zhang, Hao Du
    Ecological Indicators.2023; 151: 110346.     CrossRef
  • Phytoplankton dynamics and implications for eutrophication management in an urban river with a series of rubber dams
    Linlin Bao, Jie Chen, Hongjin Tong, Jun Qian, Xuyong Li
    Journal of Environmental Management.2022; 311: 114865.     CrossRef
  • Effect of Water Chemistry, Land Use Patterns, and Geographic Distances on the Spatial Distribution of Bacterioplankton Communities in an Anthropogenically Disturbed Riverine Ecosystem
    Jun Zhao, Wang Peng, Mingjun Ding, Minghua Nie, Gaoxiang Huang
    Frontiers in Microbiology.2021;[Epub]     CrossRef
  • Bacterial community composition shaped by water chemistry and geographic distance in an anthropogenically disturbed river
    Peng Wang, Jun Zhao, Hanyu Xiao, Wenjing Yang, Xiaofang Yu
    Science of The Total Environment.2019; 655: 61.     CrossRef
  • Structure of bacterial and eukaryote communities reflect in situ controls on community assembly in a high-alpine lake
    Eli Michael S. Gendron, John L. Darcy, Katherinia Hell, Steven K. Schmidt
    Journal of Microbiology.2019; 57(10): 852.     CrossRef

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