Evidence map›Paper›PMID 40434998›Full record

ArticlePloS one2025

Dissemination of local sub-variants of SARS-CoV-2 detected by detailed mutation analysis in wastewater-based epidemiology.

Ryo Honda, Takashi Abe, Tomoya Baba, Yui Araki, Tomohiro Kuroita, Ryo Iwamoto, Mayo Ito, Nami Okamura, Marie Kenza Yousri, Takashi Tamura and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. 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

12 authors.

Ryo HondaFaculty of Geoscience and Civil Engineering, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID 0000-0003-2577-9826
Takashi AbeDepartment of Electrical and Information Engineering, Graduate School of Science and Technology, Niigata University, Niigata City, Niigata, Japan.
Tomoya BabaJoint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, Tokyo, Japan.
Yui ArakiFaculty of Geoscience and Civil Engineering, Kanazawa University, Kanazawa, Ishikawa, Japan.
Tomohiro KuroitaAdvanSentinel Inc., Chuo-ku, Osaka, Japan.
Ryo IwamotoAdvanSentinel Inc., Chuo-ku, Osaka, Japan.
Mayo ItoVeolia Jenets K.K., Yokoso Rainbow Tower, Minato-ku, Tokyo, Japan.
Nami OkamuraVeolia Jenets K.K., Yokoso Rainbow Tower, Minato-ku, Tokyo, Japan.
Marie Kenza YousriVeolia Jenets K.K., Yokoso Rainbow Tower, Minato-ku, Tokyo, Japan.
Takashi TamuraKubota Corporation, Amagasaki, Hyogo, Japan.
Satoshi EzakiKubota Corporation, Amagasaki, Hyogo, Japan.
Masanori AritaBioinformation and DDBJ Center, National Institute of Genetics, Mishima, Shizuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) is effective for identifying the predominant SARS-CoV-2 variants within specific populations as well as early warning of disease outbreaks. The variant analysis in WBE has been limited to quantifying the proportion of variants, and it has been unable to trace their origins and dissemination pathways. This study aims to elucidate the emergence and transmission of locally predominant SARS-CoV-2 sub-variants through detailed mutation analysis in wastewater genomic surveillance. Genome mutations at each nucleotide position in the S region were examined to identify locally unique sub-variants in geographically distinct cities of Komatsu and Hamamatsu. Notably, the XBT variant, which had never been reported in clinical samples from Japan, was detected in wastewater in Komatsu. Moreover, a unique sub-variant of BA.5 was detected in Komatsu for a duration of 17 weeks whereas it was absent in Hamamatsu. Mutation analysis also revealed significant differences in the duration of the common BA.2.75 sub-variant's prevalence in Komatsu for 35 weeks, in contrast to only one week in Hamamatsu. These findings underscore the efficacy of wastewater-based genomic epidemiology in identifying the timing of variant entry and prevalence duration, enhancing our understanding of the origins, transmission pathways, and evolutionary trajectories of epidemically important variants.

Indexed as

COVID-19SARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringDNA Mutational AnalysisGenome, ViralHumansJapanMutationWastewater

Identifiers

PMID40434998
PMCPMC12118838

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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.