Evidence map›Paper›PMID 34756083›Full record

ArticleMicrobiology spectrum2021

A Distinct, Flocculent, Acidogenic Microbial Community Accompanies Methanogenic Granules in Anaerobic Digesters.

Simon Mills, Anna Christine Trego, Piet N L Lens, Umer Zeeshan Ijaz, Gavin Collins

Abstract read
In one paragraph

Article in Microbiology spectrum, 2021. 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
  2. Article
  3. Article
  4. Review
  5. Review
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.

Simon MillsMicrobial Communities Laboratory, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.ORCID 0000-0002-8682-3846
Anna Christine TregoMicrobial Communities Laboratory, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.
Piet N L LensIETSBIO3 Laboratory, National University of Ireland, Galwaygrid.6142.1, Galway, Ireland.
Umer Zeeshan IjazInfrastructure and Environment, School of Engineering, The University of Glasgowgrid.8756.c, Glasgow, United Kingdom.
Gavin CollinsMicrobial Communities Laboratory, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.ORCID 0000-0002-9947-1130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The formation of dense, well-settling methanogenic granules is essential for the operation of high-rate, up-flow anaerobic bioreactors used for wastewater treatment. Granule formation (granulation) mechanisms have been previously proposed, but an ecological understanding of granule formation is still lacking. Additionally, much of the current research on granulation only examines the start-up phase of bioreactor operation, rather than monitoring the fate of established granules and how new granules emerge over time. This paper, therefore, attempts to provide an insight into the microbial ecology of granule formation outside the start-up phase of bioreactor operation and develop an ecological granulation model. The microbial communities of granules actively undergoing growth, breakage, and reformation were examined, and an ecological granulation model was proposed. A distinct pregranular microbial community, with a high proportion of acidogenic organisms, such as the

Indexed as

Bacteria, AnaerobicBacterial AdhesionBiofilmsBioreactorsFlocculationMethaneMicrobiotaSewageStreptococcaceaeWater PurificationMethaneSewage16S rRNAacidogenicanaerobic digestionanaerobic granulesbiofilmcommunity successionmethanogenic granules

Identifiers

PMID34756083
PMCPMC8579839

What OpenQuestion holds

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LicenceCC BY
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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.