Evidence map›Paper›PMID 25861554›Full record

ArticlePeerJ2015

Effect of different heterotrophic plate count methods on the estimation of the composition of the culturable microbial community.

Eva Theres Gensberger, Eva-Maria Gössl, Livio Antonielli, Angela Sessitsch, Tanja Kostić

Abstract read
In one paragraph

Article in PeerJ, 2015. 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. Review
  2. Article
  3. Article
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  5. 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.

Eva Theres GensbergerAIT Austrian Institute of Technology GmbH, Bioresources Unit , Tulln , Austria.
Eva-Maria GösslAIT Austrian Institute of Technology GmbH, Bioresources Unit , Tulln , Austria.
Livio AntonielliAIT Austrian Institute of Technology GmbH, Bioresources Unit , Tulln , Austria.
Angela SessitschAIT Austrian Institute of Technology GmbH, Bioresources Unit , Tulln , Austria.
Tanja KostićAIT Austrian Institute of Technology GmbH, Bioresources Unit , Tulln , Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterotrophic plate counts (HPC) are routinely determined within the scope of water quality assessment. However, variable HPC methods with different cultivation parameters (i.e., temperature and media type) are applied, which could lead to significant effects in the outcome of the analysis. Therefore the effect of different HPC methods, according to DIN EN ISO 6222 and EPA, on the culturable microbial community composition was investigated by 16S rRNA gene sequence analysis and statistical evaluation was performed. The culturable community composition revealed significant effects assigned to temperature (p < 0.01), while for media type no statistical significance was observed. However, the abundance of certain detected bacteria was affected. Lower temperature (22 °C) showed the abundance of naturally occurring Pseudomonadaceae and Aeromonadaceae, whereas at high temperature (37 °C) numerous Enterobacteriaceae, Citrobacter spp. and Bacilli were identified. The highest biodiversity was detected at lower temperature, especially on R2A medium. These results indicate that different temperatures (low and high) should be included into HPC measurement and selection of media should, ideally, be adjusted to the monitored water source. Accordingly, it can be inferred that the HPC method is more suitable for continuous monitoring of the same water source than for single assessments of a water sample.

Indexed as

16S rRNA gene sequence analysisCulturable community compositionHeterotrophic plate countMedia typeMicrobial water quality assessmentTemperature

Identifiers

PMID25861554
PMCPMC4389272

What OpenQuestion holds

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Registered trials

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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.