Literature DB >> 31935190

There is no hiding if you Seq: recent breakthroughs in Pseudomonas aeruginosa research revealed by genomic and transcriptomic next-generation sequencing.

Richard X E Valli1, Mark Lyng1, Clare L Kirkpatrick1.   

Abstract

The advent of next-generation sequencing technology has revolutionized the field of prokaryotic genetics and genomics by allowing interrogation of entire genomes, transcriptomes and global transcription factor binding profiles. As more studies employing these techniques have been performed, the state of the art regarding prokaryotic gene regulation has developed from the level of individual genes to genetic regulatory networks and systems biology. When applied to bacterial pathogens, particularly valuable insights have been gained into the regulation of virulence-associated genes, their relative importance to bacterial survival in planktonic, biofilm or host infection scenarios, antimicrobial resistance and the molecular details of host-pathogen interactions. This review outlines some of the latest developments and applications of next-generation sequencing techniques that have used primarily Pseudomonas aeruginosa as a model system. We focus particularly on insights into Pseudomonas virulence and infection that have been gained from these approaches and the future directions in which this field could develop.

Entities:  

Keywords:  ChIP-Seq; Pseudomonas; RNA-Seq; host–pathogen interaction; next-generation sequencing; transposon insertion sequencing

Year:  2020        PMID: 31935190     DOI: 10.1099/jmm.0.001135

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  11 in total

Review 1.  Transcriptional Profiling of Pseudomonas aeruginosa Infections.

Authors:  Janne G Thöming; Susanne Häussler
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

2.  What Makes Pseudomonas aeruginosa a Pathogen?

Authors:  Burkhard Tümmler
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

Review 3.  Insects, Rodents, and Pets as Reservoirs, Vectors, and Sentinels of Antimicrobial Resistance.

Authors:  Willis Gwenzi; Nhamo Chaukura; Norah Muisa-Zikali; Charles Teta; Tendai Musvuugwa; Piotr Rzymski; Akebe Luther King Abia
Journal:  Antibiotics (Basel)       Date:  2021-01-12

4.  Do results obtained with RNA-sequencing require independent verification?

Authors:  Tom Coenye
Journal:  Biofilm       Date:  2021-01-13

5.  Direct RNA Nanopore Sequencing of Pseudomonas aeruginosa Clone C Transcriptomes.

Authors:  Marie-Madlen Pust; Colin Francis Davenport; Lutz Wiehlmann; Burkhard Tümmler
Journal:  J Bacteriol       Date:  2021-11-15       Impact factor: 3.490

Review 6.  The 'thanato-resistome' - The funeral industry as a potential reservoir of antibiotic resistance: Early insights and perspectives.

Authors:  Willis Gwenzi
Journal:  Sci Total Environ       Date:  2020-07-25       Impact factor: 7.963

Review 7.  Current Challenges in Vaccinology.

Authors:  Richard B Kennedy; Inna G Ovsyannikova; Peter Palese; Gregory A Poland
Journal:  Front Immunol       Date:  2020-06-25       Impact factor: 7.561

Review 8.  Multidrug Resistance (MDR) and Collateral Sensitivity in Bacteria, with Special Attention to Genetic and Evolutionary Aspects and to the Perspectives of Antimicrobial Peptides-A Review.

Authors:  András Fodor; Birhan Addisie Abate; Péter Deák; László Fodor; Ervin Gyenge; Michael G Klein; Zsuzsanna Koncz; Josephat Muvevi; László Ötvös; Gyöngyi Székely; Dávid Vozik; László Makrai
Journal:  Pathogens       Date:  2020-06-29

Review 9.  Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.

Authors:  Padhmanand Sudhakar; Kathleen Machiels; Bram Verstockt; Tamas Korcsmaros; Séverine Vermeire
Journal:  Front Microbiol       Date:  2021-05-11       Impact factor: 5.640

10.  Chemical interplay and complementary adaptative strategies toggle bacterial antagonism and co-existence.

Authors:  Carlos Molina-Santiago; David Vela-Corcía; Daniel Petras; Luis Díaz-Martínez; Alicia Isabel Pérez-Lorente; Sara Sopeña-Torres; John Pearson; Andrés Mauricio Caraballo-Rodríguez; Pieter C Dorrestein; Antonio de Vicente; Diego Romero
Journal:  Cell Rep       Date:  2021-07-27       Impact factor: 9.423

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