Dataset Information

Cohabitation of Piscirickettsia salmonis genogroups (LF-89 and EM-90): Synergistic effect on growth dynamics

ABSTRACT: Piscirickettsia salmonis, the biological agent of SRS (Salmon Rickettsial Syndrome), is a facultative intracellular bacterium that can be divided into two genogroups (LF-89 and EM-90) with different virulence levels and patterns. There are studies that have found co-infection of these genogroups in salmonid farms in Chile, but it is essential to assess whether this competitive interaction within the host is related to virulence and changes in pathogen dynamics. In this work, we studied one isolate from each genogroup, EM-90 and LF-89 . The aim was to evaluate how co-cultures could affect their growth performance and virulence factors expression at in vivo cultures in Atlantic salmon. During in vivo co-cultures, transcriptomic analysis revealed an upregulation of transposases, flagellum-related genes (fliI and flgK), transporters and permeases that could unveil novel virulence effectors used in the early infection process of P. salmonis. Thus, our work has shown that the cohabitation of the genogroups of P. salmonis can modulate their behavior and virulence effectors expression. These data can contribute to new strategies and approaches to improve current health treatments against this salmonid bacterium.

ORGANISM(S): Piscirickettsia salmonis

PROVIDER: GSE235725 | GEO | 2023/10/03

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Fuentealb2016 - Genome-scale metabolic reconstruction (iPF215) of Piscirickettsia salmonis LF-89 This model is described in the article: Genome-scale metabolic reconstruction for the insidious bacterium in aquaculture Piscirickettsia salmonis. Fuentealba P, Aros C, Latorre Y, Martínez I, Marshall S, Ferrer P, Albiol J, Altamirano C. Bioresour. Technol. 2017 Jan; 223: 105-114 Abstract: Piscirickettsia salmonis is a fish bacterium that causes the disease piscirickettsiosis in salmonids. This pathology is partially controlled by vaccines. The lack of knowledge has hindered its culture on laboratory and industrial scale. The study describes the metabolic phenotype of P. salmonis in culture. This study presents the first genome-scale model (iPF215) of the LF-89 strain of P. salmonis, describing the central metabolic pathway, biosynthesis and molecule degradation and transport mechanisms. The model was adjusted with experiment data, allowing the identification of the capacities that were not predicted by the automatic annotation of the genome sequences. The iPF215 model is comprised of 417 metabolites, 445 reactions and 215 genes, was used to reproduce the growth of P. salmonis (?max 0.052±0.005h(-1)). The metabolic reconstruction of the P. salmonis LF-89 strain obtained in this research provides a baseline that describes the metabolic capacities of the bacterium and is the basis for developing improvements to its cultivation for vaccine formulation. This model is hosted on BioModels Database and identified by: MODEL1610250000. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:The aquaculture industry has confronted severe economic losses due to infectious diseases in the last years. Piscirickettsiosis or Salmonid Rickettsial Septicaemia (SRS) is the bacterial disease caused by Piscirickettsia salmonis. This Gram-negative, non-motile, cellular pathogen has the ability to infect, survive, replicate, and propagate in salmonid monocytes/macrophages generating a systemic infection characterized by the colonization of several organs including kidney, liver, spleen, intestine, brain, ovary and gills. In this study, we attempted to determine whether global gene expression differences can be detected in different genetic groups of Atlantic salmon as a result of Piscirickettsia salmonis infection. Moreover, we sought to characterize the fish transcriptional response in order to reveal the mechanisms that might confer resistance in Atlantic salmon to an infection with Piscirickettsia salmonis. In doing so, after challenging with Piscirickettsia salmonis, we selected the families with the highest (HS) and the lowest (LS) recorded susceptibility for gene expression analysis using 32K cGRASP microarrays. Our results revealed in LS families expression changes are linked to iron depletion, as well as, low contents of iron in kidney cells and low bacterial load, indicated that the iron-withholding strategy of innate immunity is part of the mechanism of resistance against Piscirickettsia salmonis. This information contributes to elucidate the underlying mechanisms of resistance to Piscirickettsia salmonis infection in Atlantic salmon and to identify new candidate genes for selective breeding programmes. Forty full-sibling families of Atlantic salmon (Salmo salar) were infected by intraperitoneal injection with 0.2 mL Piscirickettsia salmonis (PS889, isolated from Oncorhynchus kisutch, 1M-CM-^W104 PFU/mL). After forty days, the fishes were harvested and the cumulative mortality (dead fish / total fish) for each family was calculated. For the second challenge, the six families with the highest cumulative mortality levels were considered of relatively high susceptibility (HS) and the six families with the lowest cumulative mortality levels were considered of relatively low susceptibility (LS) to the infection. Five control and five infected fish from three HS and three LS families were analyzed. For each HS and LS family, pools of RNA from control and infected fish were prepared separately and were reverse transcribed. Four slides were for each used family hybridized including two dye-swaped slides. Labeled samples were hybridized on a 32K cDNA microarray, developed at the Consortium for Genomics Research on All Salmonids Project (cGRASP), GEO accession number: GPL8904.

Dataset Information

Cohabitation of Piscirickettsia salmonis genogroups (LF-89 and EM-90): Synergistic effect on growth dynamics

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets