Evidence map›Paper›PMID 29237993›Full record

ArticleMicrobes and environments2018

Eukaryotic Microbiomes of Membrane-Attached Biofilms in Membrane Bioreactors Analyzed by High-Throughput Sequencing and Microscopic Observations.

Tomohiro Inaba, Tomoyuki Hori, Yuya Sato, Tomo Aoyagi, Dai Hanajima, Atsushi Ogata, Hiroshi Habe

Abstract read
In one paragraph

Article in Microbes and environments, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

7 authors.

Tomohiro InabaEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Tomoyuki HoriEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Yuya SatoEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Tomo AoyagiEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Dai HanajimaDairy Research Division, Hokkaido Agricultural Research Center, National Agricultural and Food Research Organization (NARO).
Atsushi OgataEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).
Hiroshi HabeEnvironmental Management Research Institute, National Institute of Advanced Industrial Science and Technology (AIST).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited information is currently available on the contribution of eukaryotes to the reactor performance of membrane bioreactors (MBRs). Using high-throughput Illumina sequencing of 18S rRNA genes and microscopic observations, we investigated eukaryotic microbiomes in membrane-attached biofilms in MBRs treating piggery wastewater. Protozoa preying on bacteria were frequently detected under stable conditions when membrane clogging was suppressed. However, the eukaryotes preying upon protozoa became predominant in biofilms when membrane fouling rapidly progressed. We herein demonstrated that a comprehensive investigation of eukaryotic microbiomes using high-throughput sequencing contributes to a better understanding of the microbial ecology involved in wastewater treatment.

Indexed as

BiofilmsEukaryotaMicrobiotaBacteriaBiofoulingBioreactorsHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 18SWaste Disposal, FluidWastewaterRNA, Ribosomal, 18SWastewaterBiofilmBiofoulingEukaryotic microbiomeHigh-throughput sequencingMembrane bioreactor

Identifiers

PMID29237993
PMCPMC5877349

What OpenQuestion holds

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LicenceCC BY
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.