Evidence map›Paper›PMID 24950754›Full record

ArticleApplied microbiology and biotechnology2015

Investigating bacterial populations in styrene-degrading biofilters by 16S rDNA tag pyrosequencing.

Kevin J Portune, M Carmen Pérez, F Javier Álvarez-Hornos, Carmen Gabaldón

Abstract readComparative Study
In one paragraph

Article in Applied microbiology and biotechnology, 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. Article
  2. Microbial Diversity Dynamics in a Methanogenic-Sulfidogenic UASB Reactor.International journal of environmental research and public health · 2021
    Article
  3. Article
  4. Article
  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

4 authors.

Kevin J PortuneResearch Group GI2AM, Department of Chemical Engineering, Universitat de València, Av. de la Universidad s/n, 46100, Burjassot, Spain, kevin.portune@uv.es.
M Carmen Pérez
F Javier Álvarez-Hornos
Carmen Gabaldón

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial biofilms are essential components in the elimination of pollutants within biofilters, yet still little is known regarding the complex relationships between microbial community structure and biodegradation function within these engineered ecosystems. To further explore this relationship, 16S rDNA tag pyrosequencing was applied to samples taken at four time points from a styrene-degrading biofilter undergoing variable operating conditions. Changes in microbial structure were observed between different stages of biofilter operation, and the level of styrene concentration was revealed to be a critical factor affecting these changes. Bacterial genera Azoarcus and Pseudomonas were among the dominant classified genera in the biofilter. Canonical correspondence analysis (CCA) and correlation analysis revealed that the genera Brevundimonas, Hydrogenophaga, and Achromobacter may play important roles in styrene degradation under increasing styrene concentrations. No significant correlations (P > 0.05) could be detected between biofilter operational/functional parameters and biodiversity measurements, although biological heterogeneity within biofilms and/or technical variability within pyrosequencing may have considerably affected these results. Percentages of selected bacterial taxonomic groups detected by fluorescence in situ hybridization (FISH) were compared to results from pyrosequencing in order to assess the effectiveness and limitations of each method for identifying each microbial taxon. Comparison of results revealed discrepancies between the two methods in the detected percentages of numerous taxonomic groups. Biases and technical limitations of both FISH and pyrosequencing, such as the binding of FISH probes to non-target microbial groups and lack of classification of sequences for defined taxonomic groups from pyrosequencing, may partially explain some differences between the two methods.

Indexed as

BiotaBacteriaBiofilmsBioreactorsBiotransformationCluster AnalysisDNA, BacterialDNA, RibosomalFiltrationIn Situ Hybridization, FluorescenceMolecular Sequence DataPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAStyreneTime FactorsDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SStyrene

Identifiers

PMID24950754
PMCPMC4286631

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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.