Evidence map›Paper›PMID 16398935›Full record

ArticleBMC veterinary research2006

Homogeneity of the 16S rDNA sequence among geographically disparate isolates of Taylorella equigenitalis.

M Matsuda, A Tazumi, S Kagawa, T Sekizuka, O Murayama, J E Moore, B C Millar

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular approaches: advantages and artifacts in assessing bacterial diversity.Journal of industrial microbiology & biotechnology · 2007
    Review
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

7 authors at 4 institutions in 2 countries.

M MatsudaDepartment of Bacteriology, Northern Ireland Public Health Laboratory, Belfast City Hospital, Belfast BT9 7AD, Northern Ireland, UK. matsuda@azabu-u.ac.jp
A Tazumi
S Kagawa
T Sekizuka
O Murayama
J E Moore
B C Millar
Azabu University · JPBelfast City Hospital · GBMRC Laboratory of Molecular Biology · GBUniversity of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt present, six accessible sequences of 16S rDNA from Taylorella equigenitalis (T. equigenitalis) are available, whose sequence differences occur at a few nucleotide positions. Thus it is important to determine these sequences from additional strains in other countries, if possible, in order to clarify any anomalies regarding 16S rDNA sequence heterogeneity. Here, we clone and sequence the approximate full-length 16S rDNA from additional strains of T. equigenitalis isolated in Japan, Australia and France and compare these sequences to the existing published sequences.

resultsClarification of any anomalies regarding 16S rDNA sequence heterogeneity of T. equigenitalis was carried out. When cloning, sequencing and comparison of the approximate full-length 16S rDNA from 17 strains of T. equigenitalis isolated in Japan, Australia and France, nucleotide sequence differences were demonstrated at the six loci in the 1,469 nucleotide sequence. Moreover, 12 polymorphic sites occurred among 23 sequences of the 16S rDNA, including the six reference sequences.

conclusionHigh sequence similarity (99.5% or more) was observed throughout, except from nucleotide positions 138 to 501 where substitutions and deletions were noted.

Indexed as

AnimalsAustraliaFranceGram-Negative Bacterial InfectionsHorse DiseasesHorsesJapanMolecular Sequence DataRNA, Ribosomal, 16STaylorella equigenitalisRNA, Ribosomal, 16S

Identifiers

PMID16398935
PMCPMC1360666
OpenAlexW1750421606

What OpenQuestion holds

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LicenceCC BY
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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.