Literature DB >> 32385079

Can Pathogenic and Nonpathogenic Bacteria Be Distinguished by Sensory Protein Abundance?

Subhrajit Bhar1, Tungadri Bose2, Sharmila S Mande2.   

Abstract

Signal transduction systems are essential for microorganisms to respond to their ever-changing environment. They can be distinguished into one-component systems, two-component systems, and extracytoplasmic-function σ factors. Abundances of a few signal-transducing proteins, termed herein as sensory proteins (SPs), have previously been reported to be correlated with the genome size and ecological niche of certain Gram-positive bacteria. No such reports are available for Gram-negative bacteria. The current study attempts to investigate the relationship of the abundances of SPs to genome size in Escherichia coli, and the bacterial pathotypes or phylotypes. While the relationship between SP abundance and genome size could not be established, the sensory protein index (SPI), a new metric defined herein, was found to be correlated with E. coli virulence. In addition, significant association was observed among the distribution of SPs and E. coli pathotypes. Results indicate that such associations might be due to genomic rearrangements to best utilize the resources available in a given ecological niche. Overall, the study provides an in-depth analysis of the occurrence of different SPs among pathogenic and nonpathogenic E. coli strains. Possibilities of using the SPI as a marker for identifying pathogenic strains from among an organism complex are also discussed.IMPORTANCE Sensory proteins (SPs) act as sensors and actuators for a cell and participate in important mechanisms pertaining to bacterial survival, adaptation, and virulence. Therefore, bacterial species residing in similar ecological niches or those sharing common pathotypes are expected to exhibit similar SP signatures. We have investigated profiles of SPs in different species of Escherichia coli and present in this article the sensory protein index (SPI), a metric for quantifying the abundance and/or distribution of SPs across bacterial genomes, which could indicate the virulence potency of a bacterium. The SPI could find use in characterizing uncultured strains and bacterial complexes, as a biomarker for disease diagnostics, evaluating the effect of therapeutic interventions, assessing effects of ecological alterations, etc. Grouping the studied strains of E. coli on the basis of the frequency of occurrence of SPs in their genomes could potentially replicate the stratification of these strains on the basis of their phylotypes. In addition, E. coli strains belonging to the same pathotypes were also seen to share similar SP signatures. Furthermore, the SPI was seen to be an indicator of pathogenic potency of E. coli strains. The SPI metric is expected to be useful in the (pathogenic) characterization of hereto uncultured strains which are routinely sequenced in host microbiome analysis projects, or from among an ensemble of microbial organisms constituting a biospecimen. Thus, the possibilities of using the SPI as a biomarker for diagnosis of a disease or the outcome of a therapeutic intervention cannot be ruled out. Further, SPIs obtained from longitudinal ecological samples have the potential to serve as key indicators of environmental changes. Such changes in the environment are often detrimental to the resident biome and methods for timely detection of environmental changes hold huge socioeconomic benefits.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  Escherichia coli; pathotypes; phylogroup; sensory proteins index; signal transduction systems

Mesh:

Substances:

Year:  2020        PMID: 32385079      PMCID: PMC7357476          DOI: 10.1128/AEM.00478-20

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  19 in total

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Review 2.  Two-component signal transduction as a target for microbial anti-infective therapy.

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Review 5.  Adaptation of cells to new environments.

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Authors:  Jonah Cheung; Wayne A Hendrickson
Journal:  Curr Opin Microbiol       Date:  2010-03-10       Impact factor: 7.934

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8.  The evolution of two-component systems in bacteria reveals different strategies for niche adaptation.

Authors:  Eric Alm; Katherine Huang; Adam Arkin
Journal:  PLoS Comput Biol       Date:  2006-11-03       Impact factor: 4.475

9.  An evolutionary analysis of genome expansion and pathogenicity in Escherichia coli.

Authors:  Jon Bohlin; Ola B Brynildsrud; Camilla Sekse; Lars Snipen
Journal:  BMC Genomics       Date:  2014-10-09       Impact factor: 3.969

10.  CD-HIT: accelerated for clustering the next-generation sequencing data.

Authors:  Limin Fu; Beifang Niu; Zhengwei Zhu; Sitao Wu; Weizhong Li
Journal:  Bioinformatics       Date:  2012-10-11       Impact factor: 6.937

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  1 in total

1.  Sensing Host Health: Insights from Sensory Protein Signature of the Metagenome.

Authors:  Subhrajit Bhar; Rashmi Singh; Nishal Kumar Pinna; Tungadri Bose; Anirban Dutta; Sharmila S Mande
Journal:  Appl Environ Microbiol       Date:  2022-07-13       Impact factor: 5.005

  1 in total

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