Evidence map›Paper›PMID 27284397›Full record

ArticleJundishapur journal of microbiology2016

Phylogenetic Analysis of Prevalent Tuberculosis and Non-Tuberculosis Mycobacteria in Isfahan, Iran, Based on a 360 bp Sequence of the rpoB Gene.

Bahram Nasr Esfahani, Sharareh Moghim, Hajieh Ghasemian Safaei, Mohsen Moghoofei, Mansour Sedighi, Shima Hadifar

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Article in Jundishapur journal of microbiology, 2016. 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.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

  1. Prevalence ofFrontiers in microbiology · 2024
    Pooled it
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bahram Nasr EsfahaniDepartment of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Sharareh MoghimDepartment of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Hajieh Ghasemian SafaeiDepartment of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Mohsen MoghoofeiDepartment of Virology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, IR Iran.
Mansour SedighiDepartment of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Shima HadifarDepartment of Microbiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTaxonomic and phylogenetic studies of Mycobacterium species have been based around the 16sRNA gene for many years. However, due to the high strain similarity between species in the Mycobacterium genus (94.3% - 100%), defining a valid phylogenetic tree is difficult; consequently, its use in estimating the boundaries between species is limited. The sequence of the rpoB gene makes it an appropriate gene for phylogenetic analysis, especially in bacteria with limited variation.

objectivesIn the present study, a 360bp sequence of rpoB was used for precise classification of Mycobacterium strains isolated in Isfahan, Iran. MATERIALS AND

methodsFrom February to October 2013, 57 clinical and environmental isolates were collected, subcultured, and identified by phenotypic methods. After DNA extraction, a 360bp fragment was PCR-amplified and sequenced. The phylogenetic tree was constructed based on consensus sequence data, using MEGA5 software.

resultsSlow and fast-growing groups of the Mycobacterium strains were clearly differentiated based on the constructed tree of 56 common Mycobacterium isolates. Each species with a unique title in the tree was identified; in total, 13 nods with a bootstrap value of over 50% were supported. Among the slow-growing group was Mycobacterium kansasii, with M. tuberculosis in a cluster with a bootstrap value of 98% and M. gordonae in another cluster with a bootstrap value of 90%. In the fast-growing group, one cluster with a bootstrap value of 89% was defined, including all fast-growing members present in this study.

conclusionsThe results suggest that only the application of the rpoB gene sequence is sufficient for taxonomic categorization and definition of a new Mycobacterium species, due to its high resolution power and proper variation in its sequence (85% - 100%); the resulting tree has high validity.

Indexed as

MycobacteriumPhylogenyrpoB Gene

Identifiers

PMID27284397
PMCPMC4898205

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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.