Evidence map›Paper›PMID 38590726›Full record

ArticleWater research X2024

Underestimation of SARS-CoV-2 in wastewater due to single or double mutations in the N1 qPCR probe binding region.

Jianxian Sun, Minqing Ivy Yang, Jiaxi Peng, Ismail Khan, Jhoselyn Jaramillo Lopez, Ronny Chan, Elizabeth A Edwards, Hui Peng

Abstract read
In one paragraph

Article in Water research X, 2024. 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
–field-weighted citation impact
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.

  1. 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

8 authors.

Jianxian SunDepartment of Chemistry, University of Toronto, 80 St George Street, Toronto, ON, M5S 3H6, Canada.
Minqing Ivy YangDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, M5S 3E5, Canada.
Jiaxi PengDepartment of Chemistry, University of Toronto, 80 St George Street, Toronto, ON, M5S 3H6, Canada.
Ismail KhanDepartment of Chemistry, University of Toronto, 80 St George Street, Toronto, ON, M5S 3H6, Canada.
Jhoselyn Jaramillo LopezDepartment of Chemistry, University of Toronto, 80 St George Street, Toronto, ON, M5S 3H6, Canada.
Ronny ChanDepartment of Chemistry, University of Toronto, 80 St George Street, Toronto, ON, M5S 3H6, Canada.
Elizabeth A EdwardsDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, M5S 3E5, Canada.
Hui PengDepartment of Chemistry, University of Toronto, 80 St George Street, Toronto, ON, M5S 3H6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater surveillance using RT-qPCR has now been widely adopted to track circulating levels of SARS-CoV-2 virus in many sewersheds. The CDC qPCR assays targeting two regions (N1 and N2) within the N gene are commonly used, but a discrepancy between the two biomarkers has been noticed by independent studies using these methods since late 2021. The reason is presumed to be due to mutations in regions targeted by the N1 qPCR probe. In this study, we systematically investigated and unequivocally confirmed that the underlying reason for this discrepancy was mutations in the N1 probe target, and that a single mutation could cause a significant drop in signal. We first confirmed the proportion of related mutations in wastewater samples (Jan 2021-Dec 2022) using nested PCR and LC-MS. Based on relative proportions of N1 alleles, we separated the wastewater data into four time periods corresponding to different variant waves: Period I (Alpha and Delta waves with 0 mutation), Period II (BA.1/BA.2 waves with a single mutation found in all Omicron strains), Period III (BA.5.2* wave with two mutations), and Period IV (BQ.1* wave with two mutations). Significantly lower N1 copies relative to N2 copies in samples from Periods II-IV compared to those from Period I was observed in wastewater. To further pinpoint the extent to which each mutation impacted N1 quantification, we compared the qPCR response among different synthetic oligomers with corresponding mutations. This study highlighted the impact of even just one or two mutations on qPCR-based wastewater surveillance of SARS-CoV-2.

Indexed as

MutationsN1 dropoutRT-qPCRSARS-CoV-2Wastewater surveillance

Identifiers

PMID38590726
PMCPMC11000202

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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.