Evidence map›Paper›PMID 31271529›Full record

ArticleMicrobiologyOpen2019

Full-length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis.

Terje Klemetsen, Nils Peder Willassen, Christian René Karlsen

Abstract read
In one paragraph

Article in MicrobiologyOpen, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Intestinal Microbial Profiles of Wild Zobaidy (Current issues in molecular biology · 2025
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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

3 authors.

Terje KlemetsenDepartment of Chemistry, Center for Bioinformatics, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-2024-1798
Nils Peder WillassenDepartment of Chemistry, Center for Bioinformatics, UiT The Arctic University of Norway, Tromsø, Norway.
Christian René KarlsenDepartment of fish health, Nofima, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding fish-microbial relationships may be of great value for fish producers as fish growth, development and welfare are influenced by the microbial community associated with the rearing systems and fish surfaces. Accurate methods to generate and analyze these microbial communities would be an important tool to help improve understanding of microbial effects in the industry. In this study, we performed taxonomic classification and determination of operational taxonomic units on Atlantic salmon microbiota by taking advantage of full-length 16S rRNA gene sequences. Skin mucus was dominated by the genera Flavobacterium and Psychrobacter. Intestinal samples were dominated by the genera Carnobacterium, Aeromonas, Mycoplasma and by sequences assigned to the order Clostridiales. Applying Sanger sequencing on the full-length bacterial 16S rRNA gene from the pool of 46 isolates obtained in this study showed a clear assignment of the PacBio full-length bacterial 16S rRNA gene sequences down to the genus level. One of the bottlenecks in comparing microbial profiles is that different studies use different 16S rRNA gene regions. Comparisons of sequence assignments between full-length and in silico derived variable 16S rRNA gene regions showed different microbial profiles with variable effects between phylogenetic groups and taxonomic ranks.

Indexed as

BiotaAnimalsBacteriaCluster AnalysisDNA, BacterialDNA, RibosomalGenes, rRNAIntestinesMetagenomicsPhylogenyRNA, Ribosomal, 16SSalmo salarSequence Analysis, DNASkinDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SAtlantic salmonFull-length 16S rRNA gene sequencemicrobiota

Identifiers

PMID31271529
PMCPMC6813439

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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.