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Wastewater metagenome

ABSTRACT: Raw sequence reads obtained from NGS of wastewater samples

PROVIDER: PRJNA922726 | ENA |

REPOSITORIES: ENA

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Dataset's files

Source:

			Action	DRS
	SRR23050900_1.fastq.gz	Fastqsanger.gz
	SRR23050900_2.fastq.gz	Fastqsanger.gz
	SRR23050901_1.fastq.gz	Fastqsanger.gz
	SRR23050901_2.fastq.gz	Fastqsanger.gz
	SRR23050902_1.fastq.gz	Fastqsanger.gz

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wastewater metagenome

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Project description:Wastewater-based surveillance (WBS) is a proven tool for monitoring population-level infection events. Wastewater contains high concentrations of inhibitors, which contaminate total nucleic acids (TNA) extracted from these samples. We found that TNA extracts from raw influent of Berlin wastewater treatment plants contained highly variable amounts of inhibitors that impaired molecular analyses like dPCR and next-generation sequencing (NGS). By using dilutions, we were able to detect inhibitory effects. To enhance WBS sensitivity and stability, we applied a combination of PCR inhibitor removal and TNA dilution (PIR+D). This approach led to a 26-fold increase in measured SARS-CoV-2 concentrations, practically reducing the detection limit. Additionally, we observed a substantial increase in stability of the time series. We define suitable stability as a mean absolute error (MAE) below 0.1 log10 copies/l and a geometric mean relative absolute error (GMRAE) below 26%. Using PIR+D, the MAE could be reduced from 0.219 to 0.097 and the GMRAE from 65.5% to 26.0% and even further in real-world WBS. Furthermore, PIR+D improved SARS-CoV-2 genome alignment and coverage in amplicon-based NGS for low to medium concentrations. In conclusion, we strongly recommend both the monitoring and removal of inhibitors from samples for WBS.

2024-11-27 | GSE283001 | GEO

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