Evidence map›Paper›PMID 16520979›Full record

ArticleJournal of industrial microbiology & biotechnology2006

Diversity of bacteria contaminating paper machines.

Tomi Lahtinen, Mirva Kosonen, Marja Tiirola, Matti Vuento, Christian Oker-Blom

Open access · bronzeAbstract read
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In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

7 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Bacterial community diversity in paper mills processing recycled paper.Journal of industrial microbiology & biotechnology · 2010
    Article
  5. Early succession of bacterial biofilms in paper machines.Journal of industrial microbiology & biotechnology · 2009
    Article
  6. Article
  7. Prokaryotic microbiota of recycled paper mills with low or zero effluent.Journal of industrial microbiology & biotechnology · 2008
    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 at 1 institution in 1 country.

Tomi LahtinenNanoScience Center, Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.
Mirva Kosonen
Marja Tiirola
Matti Vuento
Christian Oker-Blom
University of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formation of microbial biofilms and slimes is a general and serious problem in the operation of paper machines. Studies of microbial populations in paper machine-derived biofilms have been conducted using standard microbiological procedures; however, the bacterial genera present in this type of samples as well as their diversity are quite poorly known. Here, the bacterial diversity of 38 process water and 22 biofilm samples from four different Finnish paper machines were analyzed by length heterogeneity analysis of PCR-amplified 16S ribosomal DNA (LH-PCR). In addition, sequencing of the amplified 16S rRNA gene from 69 clones was conducted for characterization of the bacterial genera present in biofilm and slime samples. The LH-PCR profiles of both the free-living (process waters) and immobilized (biofilms) bacteria were diverse at all stages of the papermaking process. Out of the 69 sequenced clones, 44 belonged to alpha-Proteobacteria, most of which were close to the nitrogen-fixing root nodule genera Sinorhizobium, Rhizobium and Azorhizobium. Other clones were assigned to beta- and gamma-Proteobacteria and the phylum Bacteroidetes. In addition, eight of the clones were assigned to a yet uncultivated phylum, TM7. Finally, epifluorescence microscopy revealed that Gram-negative bacteria were predominant in both the biofilm (65%) and process water (54%) samples and a small coccoid cell morphology was most common in all samples. Together, our results show that the analysis of microbial samples from paper machines using modern molecular biology techniques adds valuable information and should, therefore, be useful as a more specific and sensitive microbiological method for the paper industry. This information could further be applied, e.g., in the development of more specific and environmental friendly antimicrobial agents for paper mills.

Indexed as

BiodiversityPaperBacteriaEquipment ContaminationIntercellular Signaling Peptides and ProteinsOrganometallic CompoundsPeptidesPhylogenyRNA, Ribosomal, 16SIntercellular Signaling Peptides and ProteinsOrganometallic CompoundsPC 1038PeptidesRNA, Ribosomal, 16S

Identifiers

PMID16520979
OpenAlexW2001115969

What OpenQuestion holds

Textmetadata
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.