Literature DB >> 33401446

Novel Molecular Markers Linked to Pseudomonas aeruginosa Epidemic High-Risk Clones.

Wedad Nageeb1, Dina H Amin2, Zuhair M Mohammedsaleh3, Rabab R Makharita4,5.   

Abstract

The population structure of Pseudomonas aeruginosa is panmictic-epidemic in nature, with the prevalence of some high-risk clones. These clones are often linked to virulence, antibiotic resistance, and more morbidity. The clonal success of these lineages has been linked to acquisition and spread of mobile genetic elements. The main aim of the study was to explore other molecular markers that explain their global success. A comprehensive set of 528 completely sequenced P. aeruginosa genomes was analyzed. The population structure was examined using Multilocus Sequence Typing (MLST). Strain relationships analysis and diversity analysis were performed using the geoBURST Full Minimum Spanning Tree (MST) algorithm and hierarchical clustering. A phylogenetic tree was constructed using the Unweighted Pair Group Method with Arithmetic mean (UPGMA) algorithm. A panel of previously investigated resistance markers were examined for their link to high-risk clones. A novel panel of molecular markers has been identified in relation to risky clones including armR, ampR, nalC, nalD, mexZ, mexS, gyrAT83I, gyrAD87N, nalCE153Q, nalCS46A, parCS87W, parCS87L, ampRG283E, ampRM288R, pmrALeu71Arg, pmrBGly423Cys, nuoGA890T, pstBE89Q, phoQY85F, arnAA170T, arnDG206C, and gidBE186A. In addition to mobile genetic elements, chromosomal variants in membrane proteins and efflux pump regulators can play an important role in the success of high-risk clones. Finding risk-associated markers during molecular surveillance necessitates applying more infection-control precautions.

Entities:  

Keywords:  MLST; Pseudomonas aeruginosa high-risk clones; antibiotic resistance; clonal success; molecular markers; population structure; virulence

Year:  2021        PMID: 33401446      PMCID: PMC7824207          DOI: 10.3390/antibiotics10010035

Source DB:  PubMed          Journal:  Antibiotics (Basel)        ISSN: 2079-6382


  49 in total

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7.  Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center.

Authors:  Alice R Wattam; James J Davis; Rida Assaf; Sébastien Boisvert; Thomas Brettin; Christopher Bun; Neal Conrad; Emily M Dietrich; Terry Disz; Joseph L Gabbard; Svetlana Gerdes; Christopher S Henry; Ronald W Kenyon; Dustin Machi; Chunhong Mao; Eric K Nordberg; Gary J Olsen; Daniel E Murphy-Olson; Robert Olson; Ross Overbeek; Bruce Parrello; Gordon D Pusch; Maulik Shukla; Veronika Vonstein; Andrew Warren; Fangfang Xia; Hyunseung Yoo; Rick L Stevens
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Journal:  mSystems       Date:  2019-01-08       Impact factor: 6.496

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10.  High-Risk International Clones of Carbapenem-Nonsusceptible Pseudomonas aeruginosa Endemic to Indonesian Intensive Care Units: Impact of a Multifaceted Infection Control Intervention Analyzed at the Genomic Level.

Authors:  Corné H W Klaassen; Juliëtte A Severin; Andreu Coello Pelegrin; Yulia Rosa Saharman; Aurélien Griffon; Mattia Palmieri; Caroline Mirande; Anis Karuniawati; Rudyanto Sedono; Dita Aditianingsih; Wil H F Goessens; Alex van Belkum; Henri A Verbrugh
Journal:  mBio       Date:  2019-11-12       Impact factor: 7.867

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  1 in total

1.  The predictive potential of different molecular markers linked to amikacin susceptibility phenotypes in Pseudomonas aeruginosa.

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Journal:  PLoS One       Date:  2022-04-25       Impact factor: 3.752

  1 in total

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