Evidence map›Paper›PMID 26668660›Full record

ArticleThe open microbiology journal2015

Molecular Identification of Mycobacterium Species of Public Health Importance in Cattle in Zimbabwe by 16S rRNA Gene Sequencing.

Leah Padya, Nyasha Chin'ombe, Marcelyn Magwenzi, Joshua Mbanga, Vurayai Ruhanya, Pasipanodya Nziramasanga

Abstract read
In one paragraph

Article in The open microbiology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Respirology case reports · 2025
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  7. [Visualized detection for mycobacterium tuberculosis using loop-mediated isothermal amplification assay].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
    Article
  8. Molecular Identification ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2017
    Article
  9. 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

6 authors.

Leah PadyaDepartment of Medical Microbiology, University of Zimbabwe, Harare, Zimbabwe ; Department of Applied Biology and Biochemistry, National University of Science and Technology, Bulawayo, Zimbabwe.
Nyasha Chin'ombeDepartment of Medical Microbiology, University of Zimbabwe, Harare, Zimbabwe.
Marcelyn MagwenziDepartment of Medical Microbiology, University of Zimbabwe, Harare, Zimbabwe.
Joshua MbangaDepartment of Applied Biology and Biochemistry, National University of Science and Technology, Bulawayo, Zimbabwe.
Vurayai RuhanyaDepartment of Medical Microbiology, University of Zimbabwe, Harare, Zimbabwe.
Pasipanodya NziramasangaDepartment of Medical Microbiology, University of Zimbabwe, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycobacterium species are naturally found in the environment as well as in domestic animals such as cattle. So far, more than 150 species of Mycobacterium, some of which are pathogenic, have been identified. Laboratory isolation, detection and identification of Mycobacterium species are therefore critical if human and animal infections are to be controlled. The objective of this study was to identify Mycobacterium species isolated in cattle in Zimbabwe using 16S ribosomal RNA gene amplification and sequencing. A total of 134 cow dung samples were collected throughout Zimbabwe and mycobacteria were isolated by culture. Only 49 culture isolates that were found to be acid-fast bacilli positive by Ziehl-Neelsen staining. The 16S rRNA gene was successfully amplified by PCR in 41 (84%) of the samples. There was no amplification in 8 (16%) of the samples. Out of the 41 samples that showed amplification, 26 (63%) had strong PCR bands and were selected for DNA sequencing. Analysis of the DNA sequences showed that 7 (27%) belonged to Mycobacterium neoaurum, 6 (23%) belonged to Mycobacterium fortuitum, 3 (12%) to Mycobacterium goodii, 2 (1%) to Mycobacterium arupense, 2 (1%) to Mycobacterium peregrinum or M. septicum and 1 isolate (0.04%) to Mycobacterium elephantis. There were 5 (19%) isolates that were non-mycobacteria and identified as Gordonia terrae, a close relative of Mycobacterium. The study therefore provided a molecular basis for detection and identification of Mycobacterium species in animals and humans.

Indexed as

16S rRNA genecattlecow dungMycobacterium speciessequencing.

Identifiers

PMID26668660
PMCPMC4676045

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