Evidence map›Paper›PMID 25243011›Full record

ArticleInternational journal of microbiology2014

Exploring Diversity among Norwegian Borrelia Strains Originating from Ixodes ricinus Ticks.

Ann-Kristin Tveten

Abstract read
In one paragraph

Article in International journal of microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

1 author.

Ann-Kristin TvetenFaculty of Life Sciences, Aalesund University College, 6025 Ålesund, Norway.ORCID 0000-0002-5142-0289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterisation of Borrelia strains from Ixodes ricinus ticks is important in the epidemiological surveillance of vector-borne pathogens. Multilocus sequences analysis (MLSA) is a molecular genotyping tool with high discriminatory power that has been applied in evolutionary studies and for the characterisation of Borrelia genospecies. MLSA was used to study genetic variations in Borrelia strains isolated from I. ricinus ticks collected from the woodlands in Skodje. The results demonstrate that the 50 Borrelia strains were separated into 36 sequence types (STs) that were not previously represented in the MLST database. A distance matrix neighbour-joining tree (bootstrapped 500 iterations) showed four deeply branched clusters, and each deeply branched cluster represented one Borrelia genospecies. The mean pairwise genetic differences confirm the genospecies clustering. The combination of alleles separates the Borrelia strains from northwest Norway from the strains in the MLST database, thus identifying new STs. Although a highly divergent B. afzelii population could be expected, the heterogeneity among the B. garinii strains is more unusual. The present study indicates that the circulation of strains between migrating birds and stationary birds in this coastal region may play a role in the evolution of B. garinii strains.

Identifiers

PMID25243011
PMCPMC4163300

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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.