Lineage abundance estimation for SARS-CoV-2 in wastewater using transcriptome quantification techniques.
Genome Biol
; 23(1): 236, 2022 Nov 08.
Article
in English
| MEDLINE | ID: covidwho-2108879
ABSTRACT
Effectively monitoring the spread of SARS-CoV-2 mutants is essential to efforts to counter the ongoing pandemic. Predicting lineage abundance from wastewater, however, is technically challenging. We show that by sequencing SARS-CoV-2 RNA in wastewater and applying algorithms initially used for transcriptome quantification, we can estimate lineage abundance in wastewater samples. We find high variability in signal among individual samples, but the overall trends match those observed from sequencing clinical samples. Thus, while clinical sequencing remains a more sensitive technique for population surveillance, wastewater sequencing can be used to monitor trends in mutant prevalence in situations where clinical sequencing is unavailable.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
SARS-CoV-2
/
COVID-19
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Genome Biol
Journal subject:
Molecular Biology
/
Genetics
Year:
2022
Document Type:
Article
Affiliation country:
S13059-022-02805-9
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