Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada, V5A 1S6.
Published: March 2015
AI Article Synopsis
Article Abstract
Pseudomonas species were targeted early for genomic studies since they were noted for their diverse metabolic capacity, ability to inhabit a wide range of environments and hosts, and include notable human and agriculturally relevant pathogens. As more genomes are sequenced, the power of genome-scale analyses are increasing and a wide range of analyses are now possible. The Pseudomonas Genome database has contributed to this effort by providing peer-reviewed, continually updated annotations of the Pseudomonas aeruginosa PAO1 reference strain genome plus integrated data and analyses of related Pseudomonas species. Analyses are now available via multiple resources to facilitate identification and characterization of drug targets, virulence factors, regulatory elements, genomic islands, genome rearrangements, orthologs, single nucleotide polymorphisms, and multiple other gene/protein-based analyses from gene expression to protein structure. We describe here how the Pseudomonas Genome Database and other bioinformatics resources can be leveraged to help Pseudomonas researchers "mine" Pseudomonas genomes, and associated genome-scale data, to facilitate new discovery.
Introduction: The Sanxingdui site (Sichuan, China) is the typical representative of the ancient Shu culture, which lasts from the late Neolithic to early Western Zhou. The sacrificial pits are located in the core region of Sanxingdui site, and numerous artifacts are unearthed including ivory, seashells, bronzes, pottery, jade, stone, gold, bone, and horn products. The function of the pits and buried artifacts has always been the focus, but the microbiome around artifacts attracts less attention.
Pseudomonas aeruginosa is a prevalent nosocomial pathogen and a significant reservoir of antimicrobial resistance genes in residential and built environments. It is also widespread in various indoor and outdoor settings, including sewage, surface waters, soil, recreational waters (both treated and untreated), and industrial effluents. Surveillance efforts for P.
In Arabidopsis thaliana, the transcription factors WRKY7, WRKY11 and WRKY17 act as negative defence regulators against Pseudomonas syringae pv. tomato (Pst) DC3000. However, their coordinated regulation of gene expression has yet to be fully explored.
Background: The genomes of publicly available electroactive Pseudomonas aeruginosa strains are currently limited to in-silico analyses. This study analyzed the electroactive Pseudomonas aeruginosa PBH03 genome using comparative in-silico studies for biotechnological applications.
Objective: Comparative in-silico and experimental analyses were conducted to identify the novel traits of P.
The pipeline for new drugs against multidrug-resistant remains limited, highlighting the urgent need for innovative treatments. New strategies, such as membrane-targeting molecules acting as adjuvants, aim to enhance antibiotic effectiveness and combat resistance. RW01, a cyclic peptide with low antimicrobial activity, was selected as an adjuvant to enhance drug efficacy through membrane permeabilization.
