Evidence map›Paper›PMID 39012098›Full record

ArticleApplied and environmental microbiology2024

Highly sensitive wastewater surveillance of SARS-CoV-2 variants by targeted next-generation amplicon sequencing provides early warning of incursion in Victoria, Australia.

James E Merrett, Monica Nolan, Leon Hartman, Nijoy John, Brianna Flynn, Louise Baker, Christelle Schang, David McCarthy, David Lister, Ngai Ning Cheng and 3 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

James E MerrettPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Monica NolanVictorian Department of Health, Melbourne, Victoria, Australia.
Leon HartmanPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.ORCID 0000-0002-6879-1334
Nijoy JohnPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.ORCID 0000-0002-6376-2630
Brianna FlynnPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Louise BakerPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Christelle SchangEnvironmental and Public Health Microbiology Lab, Monash University, Clayton, Victoria, Australia.
David McCarthyEnvironmental and Public Health Microbiology Lab, Monash University, Clayton, Victoria, Australia.
David ListerVictorian Department of Health, Melbourne, Victoria, Australia.
Ngai Ning ChengVictorian Department of Health, Melbourne, Victoria, Australia.
Nick CrosbieMelbourne Water Corporation, Docklands, Victoria, Australia.
Rachael PoonVictorian Department of Health, Melbourne, Victoria, Australia.
Aaron JexPopulation Health and Immunity Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.ORCID 0000-0002-1285-7947

Funding

Department of Health and Human Services, State Government of Victoria (DHHS)DHAC | National Health and Medical Research Council (NHMRC) APP1194330
6 · The paper itself

Abstract

The future of the COVID pandemic and its public health and societal impact will be determined by the profile and spread of emerging variants and the timely identification and response to them. Wastewater surveillance of SARS-CoV-2 has been widely adopted in many countries across the globe and has played an important role in tracking infection levels and providing useful epidemiological information that cannot be adequately captured by clinical testing alone. However, novel variants can emerge rapidly, spread globally, and markedly alter the trajectory of the pandemic, as exemplified by the Delta and Omicron variants. Most mutations linked to the emergence of new SARS-CoV-2 variants are found within variable regions of the SARS-CoV-2 Spike protein. We have developed a duplex hemi-nested PCR method that, coupled with short amplicon sequencing, allows simultaneous typing of two of the most highly variable and informative regions of the Spike gene: the N-terminal domain and the receptor binding motif. Using this method in an operationalized public health program, we identified the first known incursion of Omicron BA.1 into Victoria, Australia and demonstrated how sensitive amplicon sequencing methods can be combined with wastewater surveillance as a relatively low-cost solution for early warning of variant incursion and spread.IMPORTANCEThis study offers a rapid, cost-effective, and sensitive approach for monitoring SARS-CoV-2 variants in wastewater. The method's flexibility permits timely modifications, enabling the integration of emerging variants and adaptations to evolving SARS-CoV-2 genetics. Of particular significance for low- and middle-income regions with limited surveillance capabilities, this technique can potentially be utilized to study a range of pathogens or viruses that possess diverse genetic sequences, similar to influenza.

Indexed as

COVID-19High-Throughput Nucleotide SequencingSARS-CoV-2WastewaterHumansSpike Glycoprotein, CoronavirusVictoriaWastewater-Based Epidemiological MonitoringSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Wastewateramplicon sequencingcoronavirusCOVID-19Deltagenomic surveillanceOmicronSARS-CoV-2wastewater-based epidemiologywastewater surveillance

Identifiers

PMID39012098
PMCPMC11337797

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.