Bacterial metatranscriptomes in wastewater can differentiate virally infected human populations

Bacterial metatranscriptomes in wastewater can differentiate virally infected human populations
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废水中的细菌宏转录组可以区分病毒感染的人群

DOI:
10.1101/2022.02.23.481658
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发表时间:
2022
期刊:
bioRxiv
影响因子:
--
通讯作者:
Kalen Cantrell
Kalen Cantrell
中科院分区:
--
文献类型:
--
作者:
Rodolfo A Salido;Cameron Martino;Smruthi Karthikeyan;Shi Huang;Gibraan Rahman;Antonio Gonzalez;Livia S. Zaramela;Kristen L Beck;Shrikant Bhute;Kalen Cantrell

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相似文献

以建筑物级别的分辨率监测废水样本,对大量人群进行SARS-CoV-2筛查,优先进行测试和隔离工作。在这里,我们对加州大学圣地亚哥分校10个地点的富含病毒的废水样本进行了无针对性的变转录分析,表明即使没有直接检测到病毒转录本,由此产生的细菌分类和功能图谱也可以区分SARS-CoV-2状态。我们的原则证明通过人类微生物组的变化揭示了紧急威胁,为基于废水的非靶向流行病学提出了新的方法。
Monitoring wastewater samples at building-level resolution screens large populations for SARS-CoV-2, prioritizing testing and isolation efforts. Here we perform untargeted metatranscriptomics on virally-enriched wastewater samples from 10 locations on the UC San Diego campus, demonstrating that resulting bacterial taxonomic and functional profiles discriminate SARS-CoV-2 status even without direct detection of viral transcripts. Our proof-of-principle reveals emergent threats through changes in the human microbiome, suggesting new approaches for untargeted wastewater-based epidemiology.
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发表时间: 2021-04
期刊: bioRxiv
影响因子: --
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