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人为污染来源导致三个城市湖泊中抗生素耐药性的差异。

Anthropogenic contamination sources drive differences in antimicrobial-resistant in three urban lakes.

机构信息

Department of Biology, Memorial University of Newfoundland, St. John's, Newfoundland, Canada.

出版信息

Appl Environ Microbiol. 2024 Mar 20;90(3):e0180923. doi: 10.1128/aem.01809-23. Epub 2024 Feb 13.


DOI:10.1128/aem.01809-23
PMID:38349150
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10952509/
Abstract

Antimicrobial resistance (AMR) is an ever-present threat to the treatment of infectious diseases. However, the potential relevance of this phenomenon in environmental reservoirs still raises many questions. Detection of antimicrobial-resistant bacteria in the environment is a critical aspect for understanding the prevalence of resistance outside of clinical settings, as detection in the environment indicates that resistance is likely already widespread. We isolated antimicrobial-resistant from three urban waterbodies over a 15-month time series, determined their antimicrobial susceptibilities, investigated their population structure, and identified genetic determinants of resistance. We found that populations at each site were composed of different dominant phylotypes and showed distinct patterns of antimicrobial and multidrug resistance, despite close geographic proximity. Many strains that were genome-sequenced belonged to sequence types of international concern, particularly the ST131 clonal complex. We found widespread resistance to clinically important antimicrobials such as amoxicillin, cefotaxime, and ciprofloxacin, but found that all strains were susceptible to amikacin and the last-line antimicrobials meropenem and fosfomycin. Resistance was most often due to acquirable antimicrobial resistance genes, while chromosomal mutations in , , and conferred resistance to quinolones. Whole-genome analysis of a subset of strains further revealed the diversity of the population of present, with a wide array of AMR and virulence genes identified, many of which were present on the chromosome, including . Finally, we determined that environmental persistence, transmission between sites, most likely mediated by wild birds, and transfer of mobile genetic elements likely contributed significantly to the patterns observed.IMPORTANCEA One Health perspective is crucial to understand the extent of antimicrobial resistance (AMR) globally, and investigation of AMR in the environment has been increasing in recent years. However, most studies have focused on waterways that are directly polluted by sewage, industrial manufacturing, or agricultural activities. Therefore, there remains a lack of knowledge about more natural, less overtly impacted environments. Through phenotypic and genotypic investigation of AMR in , this study adds to our understanding of the extent and patterns of resistance in these types of environments, including over a time series, and showed that complex biotic and abiotic factors contribute to the patterns observed. Our study further emphasizes the importance of incorporating the surveillance of microbes in freshwater environments in order to better comprehend potential risks for both human and animal health and how the environment may serve as a sentinel for potential future clinical infections.

摘要

抗微生物药物耐药性(AMR)是治疗传染病的一个长期存在的威胁。然而,这种现象在环境储层中的潜在相关性仍然引发了许多问题。在环境中检测到抗微生物药物耐药细菌是了解临床环境以外耐药性流行情况的一个关键方面,因为在环境中检测到耐药性表明耐药性可能已经广泛存在。我们在 15 个月的时间序列中从三个城市水体中分离出了抗微生物药物耐药性的 ,确定了它们的抗微生物药物敏感性,研究了它们的种群结构,并鉴定了耐药性的遗传决定因素。我们发现,尽管地理位置相近,但每个地点的 种群都由不同的优势种型组成,并且表现出不同的抗微生物药物和多药耐药模式。许多进行了基因组测序的菌株属于国际关注的序列类型,特别是 ST131 克隆复合体。我们发现了对临床重要的抗菌药物(如阿莫西林、头孢噻肟和环丙沙星)的广泛耐药性,但发现所有菌株均对阿米卡星和最后一线抗菌药物美罗培南和磷霉素敏感。耐药性主要归因于可获得的抗微生物药物耐药基因,而 、 和 中的染色体突变赋予了对喹诺酮类药物的耐药性。对一组菌株的全基因组分析进一步揭示了存在的 种群的多样性,鉴定出了广泛的 AMR 和毒力基因,其中许多存在于染色体上,包括 。最后,我们确定环境持久性、站点之间的传播(可能由野生鸟类介导)以及移动遗传元件的转移可能对观察到的模式有重要贡献。

重要性:从一种健康的角度理解全球范围内抗微生物药物耐药性的程度至关重要,近年来,对抗微生物药物在环境中的研究一直在增加。然而,大多数研究都集中在直接受到污水、工业制造或农业活动污染的水道上。因此,对于更自然、不那么明显受影响的环境,我们的了解仍然有限。通过对 中的抗微生物药物耐药性进行表型和基因型研究,本研究增加了我们对抗微生物药物耐药性在这些类型环境中的程度和模式的理解,包括在时间序列上的研究,并表明复杂的生物和非生物因素促成了观察到的模式。我们的研究进一步强调了将淡水环境中微生物的监测纳入其中的重要性,以便更好地了解对人类和动物健康的潜在风险,以及环境如何成为未来临床感染的潜在哨兵。

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本文引用的文献

[1]
Exchange of Carbapenem-Resistant Escherichia coli Sequence Type 38 Intercontinentally and among Wild Bird, Human, and Environmental Niches.

Appl Environ Microbiol. 2023-6-28

[2]
CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database.

Nucleic Acids Res. 2023-1-6

[3]
Genome Analysis of ESBL-Producing Isolated from Pigs.

Pathogens. 2022-7-7

[4]
Recurrent bacteremia with a hypermucoviscous Escherichia coli isolated from a patient with perihilar cholangiocarcinoma: insights from a comprehensive genome-based analysis.

Ann Clin Microbiol Antimicrob. 2022-6-24

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IntegronFinder 2.0: Identification and Analysis of Integrons across Bacteria, with a Focus on Antibiotic Resistance in Klebsiella.

Microorganisms. 2022-3-24

[6]
WHO Critical Priority Escherichia coli as One Health Challenge for a Post-Pandemic Scenario: Genomic Surveillance and Analysis of Current Trends in Brazil.

Microbiol Spectr. 2022-4-27

[7]
Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in in Canada Using Staramr.

Microorganisms. 2022-1-26

[8]
Genomically diverse carbapenem resistant Enterobacteriaceae from wild birds provide insight into global patterns of spatiotemporal dissemination.

Sci Total Environ. 2022-6-10

[9]
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.

Lancet. 2022-2-12

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PLoS One. 2022

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