Evidence map›Paper›PMID 40090734›Full record

ArticleMicrobes and environments2025

Categorization of Bacteria That Leak from Activated Sludge to Secondary Treated Water: Year-round Observations.

Egodaha G W Gunawardana, Tiffany Joan Sotelo, Kenshiro Oshima, Masahira Hattori, Takashi Mino, Hiroyasu Satoh

Abstract read
In one paragraph

Article in Microbes and environments, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Egodaha G W GunawardanaDepartment of Socio-Cultural Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo.
Tiffany Joan SoteloInstitute of Chemistry, College of Science, University of the Philippines Diliman, Diliman.
Kenshiro OshimaCenter for Omics and Bioinformatics, Graduate School of Frontier Sciences, The University of Tokyo.
Masahira HattoriCenter for Omics and Bioinformatics, Graduate School of Frontier Sciences, The University of Tokyo.
Takashi MinoDepartment of Socio-Cultural Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo.
Hiroyasu SatohDepartment of Socio-Cultural Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study proposes a categorization of bacteria that leak from activated sludge processes to secondary treated water (STW). Bacterial populations in primary treated water (PTW), activated sludge (AS), STW, and the 0.2‍ ‍μm-filtrate of STW (FSTW) in a full-scale wastewater treatment plant with two treatment trains were observed for a period of one year using a 16S rRNA ana-lysis approach. The taxonomic groups detected were categorized as different "leak types" based on the read occupancies in PTW, AS, STW, and FSTW, where a leak type indicates the likelihood of a taxonomic group to leak to STW. Five leak types were introduced: "LTE", "LTE-I", "LTEF", "LTF", and "NLT", with "LT" for leak type, "E" for high read occupancy in STW or the effluent of secondary settling tanks, "I" for high read occupancy in PTW or influent to the AS process, "F" for high read occupancy in FSTW, and "NLT" for a smaller likelihood to leak. Representative taxonomic groups for each leak type were Neisseria and ABY1 for "LTE" Parcubacteria for "LTEF", Campylobacterota for "LTE-I", and Saccharimonadia, Bdellovibrionota, and some lineages in Comamonadaceae for "LTF". Although some taxonomic groups, such as Comamonadaceae, included different leak types, the categorization assigned to each taxonomic group was mostly consistent between the two treatment trains. The categorization scheme proposed herein may become a useful key for understanding the characteristics of bacteria that appear in AS and STW.

Indexed as

BacteriaSewageWastewaterWater MicrobiologyDNA, BacterialPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAWaste Disposal, FluidWater PurificationDNA, BacterialRNA, Ribosomal, 16SSewageWastewater16S rRNAactivated sludgeleak typePatescibacteriasecondary treated water

Identifiers

PMID40090734
PMCPMC11946410

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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.