Literature DB >> 33500331

Pangenome Analytics Reveal Two-Component Systems as Conserved Targets in ESKAPEE Pathogens.

Akanksha Rajput1, Yara Seif1, Kumari Sonal Choudhary1, Christopher Dalldorf1, Saugat Poudel1, Jonathan M Monk1, Bernhard O Palsson2,3,4,5.   

Abstract

The two-component system (TCS) helps bacteria sense and respond to environmental stimuli through histidine kinases and response regulators. TCSs are the largest family of multistep signal transduction processes, and they are involved in many important cellular processes such as antibiotic resistance, pathogenicity, quorum sensing, osmotic stress, and biofilms. Here, we perform the first comprehensive study to highlight the role of TCSs as potential drug targets against ESKAPEE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter spp., and Escherichia coli) pathogens through annotation, mapping, pangenomic status, gene orientation, and sequence variation analysis. The distribution of the TCSs is group specific with regard to Gram-positive and Gram-negative bacteria, except for KdpDE. The TCSs among ESKAPEE pathogens form closed pangenomes, except for Pseudomonas aeruginosa Furthermore, their conserved nature due to closed pangenomes might make them good drug targets. Fitness score analysis suggests that any mutation in some TCSs such as BaeSR, ArcBA, EvgSA, and AtoSC, etc., might be lethal to the cell. Taken together, the results of this pangenomic assessment of TCSs reveal a range of strategies deployed by the ESKAPEE pathogens to manifest pathogenicity and antibiotic resistance. This study further suggests that the conserved features of TCSs might make them an attractive group of potential targets with which to address antibiotic resistance.IMPORTANCE The ESKAPEE pathogens are the leading cause of health care-associated infections worldwide. Two-component systems (TCSs) can be used as effective targets against pathogenic bacteria since they are ubiquitous and manage various vital functions such as antibiotic resistance, virulence, biofilms, quorum sensing, and pH balance, among others. This study provides a comprehensive overview of the pangenomic status of the TCSs among ESKAPEE pathogens. The annotation and pangenomic analysis of TCSs show that they are significantly distributed and conserved among the pathogens, as most of them form closed pangenomes. Furthermore, our analysis also reveals that the removal of the TCSs significantly affects the fitness of the cell. Hence, they may be used as promising drug targets against bacteria.
Copyright © 2021 Rajput et al.

Entities:  

Keywords:  ESKAPEE pathogens; antibiotic resistance; genomic architecture; pangenomic analysis; two-component systems

Year:  2021        PMID: 33500331      PMCID: PMC7842365          DOI: 10.1128/mSystems.00981-20

Source DB:  PubMed          Journal:  mSystems        ISSN: 2379-5077            Impact factor:   6.496


  51 in total

1.  Connecting two-component regulatory systems by a protein that protects a response regulator from dephosphorylation by its cognate sensor.

Authors:  Akinori Kato; Eduardo A Groisman
Journal:  Genes Dev       Date:  2004-09-15       Impact factor: 11.361

2.  The two-component system QseEF and the membrane protein QseG link adrenergic and stress sensing to bacterial pathogenesis.

Authors:  Nicola C Reading; David A Rasko; Alfredo G Torres; Vanessa Sperandio
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-16       Impact factor: 11.205

Review 3.  Signal integration in bacterial two-component regulatory systems.

Authors:  Alexander Y Mitrophanov; Eduardo A Groisman
Journal:  Genes Dev       Date:  2008-10-01       Impact factor: 11.361

Review 4.  Families of bacterial signal-transducing proteins.

Authors:  R Gross; B Aricò; R Rappuoli
Journal:  Mol Microbiol       Date:  1989-11       Impact factor: 3.501

Review 5.  Roles of two-component regulatory systems in antibiotic resistance.

Authors:  Aimee Rp Tierney; Philip N Rather
Journal:  Future Microbiol       Date:  2019-05-08       Impact factor: 3.165

6.  Two-component signal transduction.

Authors:  Robert B Bourret; Ruth E Silversmith
Journal:  Curr Opin Microbiol       Date:  2010-03-10       Impact factor: 7.934

7.  Characterization of relationships between transcriptional units and operon structures in Bacillus subtilis and Escherichia coli.

Authors:  Shujiro Okuda; Shuichi Kawashima; Kazuo Kobayashi; Naotake Ogasawara; Minoru Kanehisa; Susumu Goto
Journal:  BMC Genomics       Date:  2007-02-13       Impact factor: 3.969

8.  Prediction and analysis of quorum sensing peptides based on sequence features.

Authors:  Akanksha Rajput; Amit Kumar Gupta; Manoj Kumar
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

9.  SigMol: repertoire of quorum sensing signaling molecules in prokaryotes.

Authors:  Akanksha Rajput; Karambir Kaur; Manoj Kumar
Journal:  Nucleic Acids Res       Date:  2015-10-20       Impact factor: 16.971

10.  MiST 3.0: an updated microbial signal transduction database with an emphasis on chemosensory systems.

Authors:  Vadim M Gumerov; Davi R Ortega; Ogun Adebali; Luke E Ulrich; Igor B Zhulin
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

View more
  12 in total

Review 1.  Targeting the Holy Triangle of Quorum Sensing, Biofilm Formation, and Antibiotic Resistance in Pathogenic Bacteria.

Authors:  Ronit Vogt Sionov; Doron Steinberg
Journal:  Microorganisms       Date:  2022-06-16

2.  Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa.

Authors:  Akanksha Rajput; Hannah Tsunemoto; Anand V Sastry; Richard Szubin; Kevin Rychel; Siddharth M Chauhan; Joe Pogliano; Bernhard O Palsson
Journal:  Nucleic Acids Res       Date:  2022-09-23       Impact factor: 19.160

3.  A Humanized Monoclonal Antibody Potentiates Killing of Diverse Biofilm-Forming Respiratory Tract Pathogens by Antibiotics.

Authors:  Nikola Kurbatfinski; Steven D Goodman; Lauren O Bakaletz
Journal:  Antimicrob Agents Chemother       Date:  2022-01-10       Impact factor: 5.938

4.  Role of Two-Component System Networks in Pseudomonas aeruginosa Pathogenesis.

Authors:  Verena Ducret; Karl Perron; Martina Valentini
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

Review 5.  The ArcAB Two-Component System: Function in Metabolism, Redox Control, and Infection.

Authors:  Aric N Brown; Mark T Anderson; Michael A Bachman; Harry L T Mobley
Journal:  Microbiol Mol Biol Rev       Date:  2022-04-20       Impact factor: 13.044

6.  The StkSR Two-Component System Influences Colistin Resistance in Acinetobacter baumannii.

Authors:  Sarah K Giles; Uwe H Stroeher; Bhavya Papudeshi; Robert A Edwards; Jessica Ap Carlson-Jones; Michael Roach; Melissa H Brown
Journal:  Microorganisms       Date:  2022-05-08

Review 7.  Recent Advances in Histidine Kinase-Targeted Antimicrobial Agents.

Authors:  Hongtong Chen; Chengqi Yu; Han Wu; Guoqing Li; Congran Li; Wei Hong; Xinyi Yang; Hao Wang; Xuefu You
Journal:  Front Chem       Date:  2022-07-04       Impact factor: 5.545

Review 8.  Nitrate- and Nitrite-Sensing Histidine Kinases: Function, Structure, and Natural Diversity.

Authors:  Ivan Gushchin; Vladimir A Aleksenko; Philipp Orekhov; Ivan M Goncharov; Vera V Nazarenko; Oleg Semenov; Alina Remeeva; Valentin Gordeliy
Journal:  Int J Mol Sci       Date:  2021-05-31       Impact factor: 5.923

Review 9.  The Role and Regulatory Network of the CiaRH Two-Component System in Streptococcal Species.

Authors:  Li-Yuan He; Yao-Jin Le; Zhong Guo; Sha Li; Xiao-Yan Yang
Journal:  Front Microbiol       Date:  2021-07-14       Impact factor: 5.640

Review 10.  Genome-Scale Metabolic Modeling Enables In-Depth Understanding of Big Data.

Authors:  Anurag Passi; Juan D Tibocha-Bonilla; Manish Kumar; Diego Tec-Campos; Karsten Zengler; Cristal Zuniga
Journal:  Metabolites       Date:  2021-12-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.