Metagenomic surveillance of microbial community and antibiotic resistant genes associated with Malaysian wastewater during the COVID-19 pandemic.

IF 1.8 4区 生物学 Q3 GENETICS & HEREDITY Current Genetics Pub Date : 2024-12-26 DOI:10.1007/s00294-024-01305-6
Umama Shahid, Suet Li Hooi, Shu Yong Lim, Alijah Mohd Aris, Bee Chin Khor, Qasim Ayub, Hock Siew Tan
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Abstract

Wastewater is a reservoir of pathogens and hotspots for disseminating antibiotic resistance genes across species. The metagenomic surveillance of wastewater provides insight into the native microbial community, antibiotic-resistance genes (ARGs) and mobile genetic elements. t. The COVID-19 pandemic has caused wider dissemination of ARGs and resistant bacteria in wastewater. Although immensely significant, no research has been performed on the Malaysian wastewater microbial community and ARGs or their correlation with COVID-19 infections. This study utilised a 16S metagenomics approach to characterise the microbial community in Malaysian wastewater during high and low-case phases of the pandemic. Bacteria belonging to Bacteriodales, Bacillales, Actinomycetales and opportunistic pathogens-Arcobacters, Flavobacteria, and Campylobacterales, Neisseriales, were enriched during higher COVID-19 pandemic (active cases). Additionally, copy number profiling of ARGs in water samples showed the prevalence of elements conferring resistance to antibiotics like sulphonamides, cephalosporins, and colistin. The high prevalence of intI1 and other ion-based transporters in samples highlights 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.

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2019冠状病毒病大流行期间马来西亚废水相关微生物群落和抗生素耐药基因的宏基因组监测
废水是病原体的储存库,也是抗生素耐药基因跨物种传播的热点。废水的宏基因组监测提供了对原生微生物群落、抗生素耐药基因(ARGs)和移动遗传元件的深入了解。t. 2019冠状病毒病大流行导致ARGs和废水中耐药细菌的更广泛传播。虽然非常重要,但尚未对马来西亚废水微生物群落和ARGs及其与COVID-19感染的相关性进行研究。这项研究利用16S宏基因组学方法来描述大流行高病例期和低病例期马来西亚废水中的微生物群落特征。在COVID-19高流行(活动病例)期间,细菌属杆菌门、杆菌门、放线菌门和机会致病菌- arcobacters、Flavobacteria和Campylobacterales、Neisseriales。此外,水样中ARGs的拷贝数分析显示,对磺胺类、头孢菌素和粘菌素等抗生素产生耐药性的元素普遍存在。样品中intI1和其他离子基转运体的高流行率突出了水平基因转移到先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,特别是在COVID-19大流行等公共卫生危机期间。
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来源期刊
Current Genetics
Current Genetics 生物-遗传学
CiteScore
6.00
自引率
0.00%
发文量
34
审稿时长
1 months
期刊介绍: Current Genetics publishes genetic, genomic, molecular and systems-level analysis of eukaryotic and prokaryotic microorganisms and cell organelles. All articles are peer-reviewed. The journal welcomes submissions employing any type of research approach, be it analytical (aiming at a better understanding), applied (aiming at practical applications), synthetic or theoretical. Current Genetics no longer accepts manuscripts describing the genome sequence of mitochondria/chloroplast of a small number of species. Manuscripts covering sequence comparisons and analyses that include a large number of species will still be considered.
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