COVID-19 大流行期间马来西亚废水中微生物群落动态和抗生素耐药基因传播的特征描述

Umama Shahid, Suet Li Hooi, Shu Yong Lim, Alijah Mohd Aris, Bee Chin Khor, Qasim Ayub, Hock Siew Tan
{"title":"COVID-19 大流行期间马来西亚废水中微生物群落动态和抗生素耐药基因传播的特征描述","authors":"Umama Shahid, Suet Li Hooi, Shu Yong Lim, Alijah Mohd Aris, Bee Chin Khor, Qasim Ayub, Hock Siew Tan","doi":"10.1101/2024.07.25.24311021","DOIUrl":null,"url":null,"abstract":"Wastewater is a well-known hotspot for pathogens and spread of antibiotic resistance across species. Surveillance of wastewater microbial community can help draw clearer representation of actively culturing taxonomic groups and resistance-inducing mobile genetic elements before and after treatment. Studies have suggested that COVID-19 pandemic may also have caused increased dissemination of antibiotic-resistance genes (ARGs) and antibiotic-resistant bacteria in wastewater. Although immensely significant, no research has yet been performed on Malaysian wastewater microbial community and ARGs or their correlation with COVID-19 infections. This study utilised 16S metagenomics approach to characterise microbial community in Malaysian wastewater during high and low-case phases of pandemic. Among 20 most prevalent genera around Kuala Lumpur, Malaysia, those belonging to Bacteriodales, Bacillales, Actinomycetales and opportunistic pathogens-Arcobacters, Flavobacteria, and Campylobacterales, Neisseriales, were enriched during high-case periods of the COVID-19 pandemic. Copy number profiling of ARGs in water samples showed prevalence of elements conferring resistance to antibiotics like sulphonamides, cephalosporins, and colistin. High prevalence of intI1 and other ion-based transporters in samples highlight an extensive risk of horizontal gene transfer to previously susceptible species. Our study emphasises the importance of wastewater surveillance in understanding microbial community dynamics and ARG dissemination, particularly during public health crises like the COVID-19 pandemic.","PeriodicalId":501509,"journal":{"name":"medRxiv - Infectious Diseases","volume":"72 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterisation of Microbial Community Dynamics and Antibiotic Resistance Gene Dissemination in Malaysian Wastewater during the COVID-19 Pandemic\",\"authors\":\"Umama Shahid, Suet Li Hooi, Shu Yong Lim, Alijah Mohd Aris, Bee Chin Khor, Qasim Ayub, Hock Siew Tan\",\"doi\":\"10.1101/2024.07.25.24311021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wastewater is a well-known hotspot for pathogens and spread of antibiotic resistance across species. Surveillance of wastewater microbial community can help draw clearer representation of actively culturing taxonomic groups and resistance-inducing mobile genetic elements before and after treatment. Studies have suggested that COVID-19 pandemic may also have caused increased dissemination of antibiotic-resistance genes (ARGs) and antibiotic-resistant bacteria in wastewater. Although immensely significant, no research has yet been performed on Malaysian wastewater microbial community and ARGs or their correlation with COVID-19 infections. This study utilised 16S metagenomics approach to characterise microbial community in Malaysian wastewater during high and low-case phases of pandemic. Among 20 most prevalent genera around Kuala Lumpur, Malaysia, those belonging to Bacteriodales, Bacillales, Actinomycetales and opportunistic pathogens-Arcobacters, Flavobacteria, and Campylobacterales, Neisseriales, were enriched during high-case periods of the COVID-19 pandemic. Copy number profiling of ARGs in water samples showed prevalence of elements conferring resistance to antibiotics like sulphonamides, cephalosporins, and colistin. High prevalence of intI1 and other ion-based transporters in samples highlight an extensive risk of horizontal gene transfer to previously susceptible species. Our study emphasises the importance of wastewater surveillance in understanding microbial community dynamics and ARG dissemination, particularly during public health crises like the COVID-19 pandemic.\",\"PeriodicalId\":501509,\"journal\":{\"name\":\"medRxiv - Infectious Diseases\",\"volume\":\"72 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Infectious Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.07.25.24311021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Infectious Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.07.25.24311021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

众所周知,废水是病原体和抗生素耐药性跨物种传播的热点。对废水微生物群落进行监测,有助于更清晰地呈现处理前后活跃的培养分类群和耐药性诱导移动遗传因子。研究表明,COVID-19 大流行也可能导致废水中抗生素耐药基因 (ARG) 和抗生素耐药细菌的传播增加。尽管研究意义重大,但尚未对马来西亚废水微生物群落和 ARGs 或其与 COVID-19 感染的相关性进行研究。本研究利用 16S 元基因组学方法,描述了大流行病高发和低发期马来西亚废水中微生物群落的特征。在马来西亚吉隆坡附近最常见的 20 个菌属中,属于杆菌科、芽孢杆菌科、放线菌科和机会性病原体--臂杆菌属、黄杆菌属、弯曲杆菌属和新杆菌属的菌属在 COVID-19 大流行的高发期富集。水样中 ARGs 的拷贝数分析表明,对磺胺类、头孢菌素类和秋水仙碱类等抗生素具有耐药性的细菌普遍存在。样本中 intI1 和其他离子型转运体的高流行率凸显了基因水平转移到以前易感物种的广泛风险。我们的研究强调了废水监测在了解微生物群落动态和 ARG 传播方面的重要性,尤其是在 COVID-19 大流行等公共卫生危机期间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Characterisation of Microbial Community Dynamics and Antibiotic Resistance Gene Dissemination in Malaysian Wastewater during the COVID-19 Pandemic
Wastewater is a well-known hotspot for pathogens and spread of antibiotic resistance across species. Surveillance of wastewater microbial community can help draw clearer representation of actively culturing taxonomic groups and resistance-inducing mobile genetic elements before and after treatment. Studies have suggested that COVID-19 pandemic may also have caused increased dissemination of antibiotic-resistance genes (ARGs) and antibiotic-resistant bacteria in wastewater. Although immensely significant, no research has yet been performed on Malaysian wastewater microbial community and ARGs or their correlation with COVID-19 infections. This study utilised 16S metagenomics approach to characterise microbial community in Malaysian wastewater during high and low-case phases of pandemic. Among 20 most prevalent genera around Kuala Lumpur, Malaysia, those belonging to Bacteriodales, Bacillales, Actinomycetales and opportunistic pathogens-Arcobacters, Flavobacteria, and Campylobacterales, Neisseriales, were enriched during high-case periods of the COVID-19 pandemic. Copy number profiling of ARGs in water samples showed prevalence of elements conferring resistance to antibiotics like sulphonamides, cephalosporins, and colistin. High prevalence of intI1 and other ion-based transporters in samples highlight an extensive risk of horizontal gene transfer to previously susceptible species. Our study emphasises the importance of wastewater surveillance in understanding microbial community dynamics and ARG dissemination, particularly during public health crises like the COVID-19 pandemic.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reactogenicity and immunogenicity against MPXV of the intradermal administration of Modified V Vaccinia Ankara compared to the standard subcutaneous route. A next generation CRISPR diagnostic tool to survey drug resistance in Human African Trypanosomiasis. Hospital-onset bacteraemia and fungaemia as a novel automated surveillance indicator: results from four European university hospitals Integration of Group A Streptococcus Rapid Tests with the Open Fluidic CandyCollect Device Deep Learning Models for Predicting the Nugent Score to Diagnose Bacterial Vaginosis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1