Evidence map›Paper›PMID 35676047›Full record

ArticleMicrobes and environments2022

Diversity of Candidatus Patescibacteria in Activated Sludge Revealed by a Size-‍Fractionation Approach.

Shuka Kagemasa, Kyohei Kuroda, Ryosuke Nakai, Yu-You Li, Kengo Kubota

Abstract read
In one paragraph

Article in Microbes and environments, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
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  4. International journal of systematic and evolutionary microbiology · 2025
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  5. Proposal ofISME communications · 2025
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  6. Article
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  8. Article
  9. 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

5 authors.

Shuka KagemasaDepartment of Civil and Environmental Engineering, Tohoku University.
Kyohei KurodaBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Ryosuke NakaiBioproduction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Yu-You LiDepartment of Civil and Environmental Engineering, Tohoku University.
Kengo KubotaDepartment of Civil and Environmental Engineering, Tohoku University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncultivated members of Candidatus Patescibacteria are commonly found in activated sludge treating sewage and are widely distributed in wastewater treatment plants in different regions and countries. However, the phylogenetic diversity of Ca. Patescibacteria is difficult to examine because of their low relative abundance in the environment. Since Ca. Patescibacteria members have small cell sizes, we herein collected small microorganisms from activated sludge using a filtration-based size-fractionation approach (i.e., 0.45-0.22‍ ‍μm and 0.22-0.1‍ ‍μm fractions). Fractionated samples were characterized using 16S rRNA gene amplicon and shotgun metagenomic sequence ana-lyses. The amplicon ana-lysis revealed that the relative abundance of Ca. Patescibacteria increased to 73.5% and 52.5% in the 0.45-0.22‍ ‍μm and 0.22-0.1‍ ‍μm fraction samples, respectively, from 5.8% in the unfractionated sample. The members recovered from the two size-fractionated samples included Ca. Saccharimonadia, Ca. Gracilibacteria, Ca. Paceibacteria, Ca. Microgenomatia, class-level uncultured lineage ABY1, Ca. Berkelbacteria, WS6 (Ca. Dojkabacteria), and WWE3, with Ca. Saccharimonadia being predominant in both fraction samples. The number of operational taxonomic units belonging to Ca. Patescibacteria was approximately 6-fold higher in the size-fractionated samples than in the unfractionated sample. The shotgun metagenomic ana-lysis of the 0.45-0.22‍ ‍μm fractioned sample enabled the reconstruction of 24 high-quality patescibacterial bins. The bins obtained were classified into diverse clades at the family and genus levels, some of which were rarely detected in previous activated sludge studies. Collectively, the present results suggest that the overall diversity of Ca. Patescibacteria inhabiting activated sludge is higher than previously expected.

Indexed as

BacteriaSewageMetagenomePhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SSewageactivated sludgecandidate phyla radiationCandidatus Patescibacteriadiversitysize fractionation

Identifiers

PMID35676047
PMCPMC9530733

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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.