Evidence map›Paper›PMID 28427330›Full record

ArticleBMC genomics2017

Pan genome and CRISPR analyses of the bacterial fish pathogen Moritella viscosa.

Christian Karlsen, Erik Hjerde, Terje Klemetsen, Nils Peder Willassen

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

4 authors.

Christian KarlsenDepartment of Food Safety and Infection Biology, Norwegian University of Life Sciences (NMBU), Pb 8146 Dep., 0033, Oslo, Norway. christian.karlsen@nofima.no.ORCID 0000-0002-8440-3485
Erik HjerdeDepartment of Chemistry, Faculty of Science and Technology, University of Tromsø, N-9037, Tromsø, Norway.
Terje KlemetsenDepartment of Chemistry, Faculty of Science and Technology, University of Tromsø, N-9037, Tromsø, Norway.
Nils Peder WillassenDepartment of Chemistry, Faculty of Science and Technology, University of Tromsø, N-9037, Tromsø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWinter-ulcer Moritella viscosa infections continue to be a significant burden in Atlantic salmon (Salmo salar L.) farming. M. viscosa comprises two main clusters that differ in genetic variation and phenotypes including virulence. Horizontal gene transfer through acquisition and loss of mobile genetic elements (MGEs) is a major driving force of bacterial diversification. To gain insight into genomic traits that could affect sublineage evolution within this bacterium we examined the genome sequences of twelve M. viscosa strains. Matches between M. viscosa clustered, regularly interspaced, short palindromic, repeats and associated cas genes (CRISPR-Cas) were analysed to correlate CRISPR-Cas with adaptive immunity against MGEs.

resultsThe comparative genomic analysis of M. viscosa isolates from across the North Atlantic region and from different fish species support delineation of M. viscosa into four phylogenetic lineages. The results showed that M. viscosa carries two distinct variants of the CRISPR-Cas subtype I-F systems and that CRISPR features follow the phylogenetic lineages. A subset of the spacer content match prophage and plasmid genes dispersed among the M. viscosa strains. Further analysis revealed that prophage and plasmid-like element distribution were reflected in the content of the CRISPR-spacer profiles.

conclusionsOur data suggests that CRISPR-Cas mediated interactions with MGEs impact genome properties among M. viscosa, and that patterns in spacer and MGE distributions are linked to strain relationships.

Indexed as

GenomicsAnimalsCRISPR-Cas SystemsEvolution, MolecularFishesMoritellaPlasmidsProphagesAtlantic salmon pathogenCRISPR-CasMobile genetic elementMoritella viscosa

Identifiers

PMID28427330
PMCPMC5399434

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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.