Evidence map›Paper›PMID 37333432›Full record

ArticleFEMS microbes2023

Comprehensive mutation profiling from wastewater in southern Germany extends evidence of circulating SARS-CoV-2 diversity beyond mutations characteristic for Omicron.

Shelesh Agrawal, Laura Orschler, Kira Zachmann, Susanne Lackner

Open access · goldAbstract read
In one paragraph

Article in FEMS microbes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Shelesh AgrawalTechnical University of Darmstadt, Institute IWAR, Chair of Water and Environmental Biotechnology, Franziska-Braun-Straße 7, 64287 Darmstadt, Germany.ORCID https://orcid.org/0000-0001-9365-5951
Laura OrschlerTechnical University of Darmstadt, Institute IWAR, Chair of Water and Environmental Biotechnology, Franziska-Braun-Straße 7, 64287 Darmstadt, Germany.
Kira ZachmannTechnical University of Darmstadt, Institute IWAR, Chair of Water and Environmental Biotechnology, Franziska-Braun-Straße 7, 64287 Darmstadt, Germany.
Susanne LacknerTechnical University of Darmstadt, Institute IWAR, Chair of Water and Environmental Biotechnology, Franziska-Braun-Straße 7, 64287 Darmstadt, Germany.
Technische Universität Darmstadt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tracking SARS-CoV-2 variants in wastewater is primarily performed by detecting characteristic mutations of the variants. Unlike the Delta variant, the emergence of the Omicron variant and its sublineages as variants of concern has posed a challenge in using characteristic mutations for wastewater surveillance. In this study, we monitored the temporal and spatial variation of SARS-CoV-2 variants by including all the detected mutations and compared whether limiting the analyses to characteristic mutations for variants like Omicron impact the outcomes. We collected 24-hour composite samples from 15 wastewater treatment plants (WWTP) in Hesse and sequenced 164 wastewater samples with a targeted sequencing approach from September 2021 to March 2022. Our results show that comparing the number of all the mutations against the number of the characteristic mutations reveals a different outcome. A different temporal variation was observed for the ORF1a and S gene. As Omicron became dominant, we observed an increase in the overall number of mutations. Based on the characteristic mutations of the SARS-CoV-2 variants, a decreasing trend for the number of ORF1a and S gene mutations was noticed, though the number of known characteristic mutations in both genes is higher in Omicron than Delta.

Indexed as

COVID-19genome sequencingGermanymutationsOmicronwastewater-based epidemiology

Identifiers

PMID37333432
PMCPMC10117852
OpenAlexW4323075901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.