Diversity, transmission and selective pressure on the proteome of Pseudomonas aeruginosa

Shah, Ajit J. ORCID logoORCID: https://orcid.org/0000-0002-2350-6384, Shah, Haroun N., Duncan, Louise and Ward, Malcom (2023) Diversity, transmission and selective pressure on the proteome of Pseudomonas aeruginosa. In: Microbiological Identification using MALDI-TOF and Tandem Mass Spectrometry Industrial and Environmental Applications. Shah, Haroun N., Gharbia, Saheer E., Shah, Ajit ORCID logoORCID: https://orcid.org/0000-0002-2350-6384, Tranfield, Erika and Clive, Thompson, eds. Wiley, pp. 183-201. ISBN 978-1-119-81405-4. [Book Section] (Accepted/In press)


In 1956, Williamson [1] contested the singular morphological description of Pseudomonas aeruginosa presented in Bergey’s Manual of Determinative Bacteriology, Such a limited description was proposed as inadequate at describing this diverse bacterial species. Traditional phenotypical methods for bacterial identification would reveal the phenotypic diversity in P. aeruginosa isolates, with the isolation of at least six colony types from different samples [2, 3]. Further variability would be unveiled in the morphologies, pigments, and substrate use, with reports of ‘atypical’ isolates. Nonetheless, these atypical traits were detected more and more frequently and instead pointed towards an extremely diverse species. This chapter examines the diversity of P. aeruginosa and its close relationship with the proteome. We discuss the cutting-edge mass spectrometry (MS) techniques that are continuing to reveal the extent and impact of proteomic diversity with respect to transmission and human infections of P. aeruginosa. In a parallel study, we undertake phylogenomic analysis of the species based upon its core protein sequences against eight other Pseudomonas species that may help to elucidate molecular markers that distinguish subtypes.

Item Type: Book Section
Sustainable Development Goals:
Additional Information: Chapter 7
Research Areas: A. > School of Science and Technology > Natural Sciences > Biomarkers for Cancer group
Item ID: 37617
Depositing User: Ajit Shah
Date Deposited: 09 Mar 2023 14:27
Last Modified: 16 Mar 2023 14:50
URI: https://eprints.mdx.ac.uk/id/eprint/37617

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