Evidence map›Paper›PMID 35395314›Full record

ArticleThe Science of the total environment2022

Direct comparison of RT-ddPCR and targeted amplicon sequencing for SARS-CoV-2 mutation monitoring in wastewater.

Esther G Lou, Nicolae Sapoval, Camille McCall, Lauren Bauhs, Russell Carlson-Stadler, Prashant Kalvapalle, Yanlai Lai, Kyle Palmer, Ryker Penn, Whitney Rich and 6 more

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 57 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Esther G LouDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
Nicolae SapovalDepartment of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America.
Camille McCallDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
Lauren BauhsDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
Russell Carlson-StadlerDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
Prashant KalvapalleSystems, Synthetic, and Physical Biology Graduate Program, Rice University, 6100 Main Street, Houston, TX 77005, United States of America.
Yanlai LaiHouston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America.
Kyle PalmerDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
Ryker PennHouston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America.
Whitney RichDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
Madeline WolkenDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
Pamela BrownHouston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America.
Katherine B EnsorDepartment of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America.
Loren HopkinsHouston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America; Department of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America.
Todd J TreangenDepartment of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America.
Lauren B StadlerDepartment of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America. Electronic address: lauren.stadler@rice.edu.
Rice University · USHouston Health and Human Services Department · US

Funding

Project 3: Functional Microbiome and Host Signatures in Transition from Commensal to pathogenP01AI152999 · NIAID · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HAAG, ANTHONY · 2020 to 2025
$12.0M
NIAID NIH HHS P01 AI152999
6 · The paper itself

Abstract

Over the course of the COVID-19 pandemic, variants of SARS-CoV-2 have emerged that are more contagious and more likely to cause breakthrough infections. Targeted amplicon sequencing approach is a gold standard for identification and analysis of variants. However, when applied to environmental samples such as wastewater, it remains unclear how sensitive this method is for detecting variant-associated mutations in environmental samples. Here we directly compare a targeted amplicon sequencing approach (using ARTIC v3; hereafter referred to as sequencing) with RT-ddPCR quantification for the detection of five mutations that are characteristic of variants of concern (VoCs) in wastewater samples. In total, 547 wastewater samples were analyzed using both methods in parallel. When we observed positive mutation detections by RT-ddPCR, 42.6% of the detection events were missed by sequencing, due to negative detection or the limited read coverage at the mutation position. Further, when sequencing reported negative or depth-limited mutation detections, 26.7% of those events were instead positive detections by RT-ddPCR, highlighting the relatively poor sensitivity of sequencing. No or weak associations were observed between quantitative measurements of target mutations determined by RT-ddPCR and sequencing. These findings caution the use of quantitative measurements of SARS-CoV-2 variants in wastewater samples determined solely based on sequencing.

Indexed as

COVID-19SARS-CoV-2HumansMutationPandemicsWastewaterWastewaterARTICMutationsRT-ddPCRSARS-CoV-2Variants of concern (VoC)Wastewater-based epidemiology (WBE)

Identifiers

PMID35395314
PMCPMC8983075
OpenAlexW4226175767

What OpenQuestion holds

Textmetadata
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.