Evidence map›Paper›PMID 33432378›Full record

ArticleArchives of microbiology2021

Distribution of sigma factors delineates segregation of virulent and avirulent Mycobacterium.

Aayatti Mallick Gupta, Sukhendu Mandal

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Aayatti Mallick GuptaLaboratory of Molecular Bacteriology, Department of Microbiology, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India.
Sukhendu MandalLaboratory of Molecular Bacteriology, Department of Microbiology, University of Calcutta, 35, Ballygunge Circular Road, Kolkata, 700019, India. sukhendu1@hotmail.com.ORCID http://orcid.org/0000-0002-7752-0982
University of Calcutta · IN

Funding

Department of Science and Technology, Government of West Bengal 548 (Sanc)/ST/P/S&T/9G-5/2015
6 · The paper itself

Abstract

The genus Mycobacterium includes a wide range of species of both slow and rapid growth under major pathogens, opportunists, and saprophytes. The number and combination of sigma factors are extremely diversified among various species of Mycobacterium. The comparative genome analysis illustrates that SigC, SigD, SigG, SigH, SigK and SigI are dominant among the pathogens. Evolutionary analysis using Bayesian inference on 16S rRNA and MLST-based phylogeny using 14 housekeeping genes distinctly differentiate the slow-growing Mycobacterium from fast growers and segregate pathogens from opportunists and saprophytes. Based on the similarity coefficient upon the allotment of sigma factors in mycobacterial species through UPGMA dendrogram analysis, it is apparent that the pathogens are grouped separately following the similar trend observed from the evolutionary approach. Predominance of a set of sigma factors particularly the pathogenic Mycobacterium co-exists with the distribution of six well-known virulence factors of Mycobacterium (PhoP, PcaA, FbpA, Mce1B, KatG and PE_PGRS30). The pathogenicity responsible sigma factors elicit close resemblance with few notable characters of the known virulence factors. Thus the analysis renders that the distribution of sigma factors of different species of Mycobacterium can be a potential tool to predict their pathogenicity index.

Indexed as

Bacterial ProteinsMycobacteriumPhylogenySigma FactorVirulenceBayes TheoremGenes, EssentialMultilocus Sequence TypingRNA, Ribosomal, 16SSpecies SpecificityBacterial ProteinsRNA, Ribosomal, 16SSigma FactorBayesian inferenceMycobacterial pathogenicityMycobacterial sigma factorPhylogenetic analysisVirulence factor

Identifiers

PMID33432378
OpenAlexW3118274025

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.