Prediction and Analysis in silico of Genomic Islands in Aeromonas hydrophila .

Autor: da Silva Filho AC; Department of Clinical Analysis, Federal University of Parana, Curitiba, Brazil., Marchaukoski JN; Department of Bioinformatics, Professional and Technical Education Sector, Federal University of Parana, Curitiba, Brazil., Raittz RT; Department of Bioinformatics, Professional and Technical Education Sector, Federal University of Parana, Curitiba, Brazil., De Pierri CR; Department of Biochemistry and Molecular Biology, Federal University of Parana, Curitiba, Brazil., de Jesus Soares Machado D; Department of Bioinformatics, Professional and Technical Education Sector, Federal University of Parana, Curitiba, Brazil., Fadel-Picheth CMT; Department of Clinical Analysis, Federal University of Parana, Curitiba, Brazil., Picheth G; Department of Clinical Analysis, Federal University of Parana, Curitiba, Brazil.
Jazyk: angličtina
Zdroj: Frontiers in microbiology [Front Microbiol] 2021 Nov 29; Vol. 12, pp. 769380. Date of Electronic Publication: 2021 Nov 29 (Print Publication: 2021).
DOI: 10.3389/fmicb.2021.769380
Abstrakt: Aeromonas are Gram-negative rods widely distributed in the environment. They can cause severe infections in fish related to financial losses in the fish industry, and are considered opportunistic pathogens of humans causing infections ranging from diarrhea to septicemia. The objective of this study was to determine in silico the contribution of genomic islands to A. hydrophila . The complete genomes of 17 A. hydrophila isolates, which were separated into two phylogenetic groups, were analyzed using a genomic island (GI) predictor. The number of predicted GIs and their characteristics varied among strains. Strains from group 1, which contains mainly fish pathogens, generally have a higher number of predicted GIs, and with larger size, than strains from group 2 constituted by strains recovered from distinct sources. Only a few predicted GIs were shared among them and contained mostly genes from the core genome. Features related to virulence, metabolism, and resistance were found in the predicted GIs, but strains varied in relation to their gene content. In strains from group 1, O Ag biosynthesis clusters OX1 and OX6 were identified, while strains from group 2 each had unique clusters. Metabolic pathways for myo-inositol, L-fucose, sialic acid, and a cluster encoding QueDEC, tgtA5, and proteins related to DNA metabolism were identified in strains of group 1, which share a high number of predicted GIs. No distinctive features of group 2 strains were identified in their predicted GIs, which are more diverse and possibly better represent GIs in this species. However, some strains have several resistance attributes encoded by their predicted GIs. Several predicted GIs encode hypothetical proteins and phage proteins whose functions have not been identified but may contribute to Aeromonas fitness. In summary, features with functions identified on predicted GIs may confer advantages to host colonization and competitiveness in the environment.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2021 da Silva Filho, Marchaukoski, Raittz, De Pierri, de Jesus Soares Machado, Fadel-Picheth and Picheth.)
Databáze: MEDLINE