| Literature DB >> 31695116 |
Maria J Peixoto1,2, Renato Ferraz1,2, Leonardo J Magnoni1,3, Rui Pereira4, José F Gonçalves2, Josep Calduch-Giner5, Jaume Pérez-Sánchez5, Rodrigo O A Ozório6,7.
Abstract
European seabass (Dicentrarchus labrax) production is often hampered by bacterial infections such as photobacteriosis caused by Photobacterium damselae subsp. piscicida (Phdp). Since diet can impact fish immunity, this work investigated the effect of dietary supplementation of 5% Gracilaria sp. aqueous extract (GRA) on seabass antioxidant capacity and resistance against Phdp. After infection, mortality was delayed in fish fed GRA, which also revealed increased lysozyme activity levels, as well as decreased lipid peroxidation, suggesting higher antioxidant capacity than in fish fed a control diet. Dietary GRA induced a down-regulation of hepatic stress-responsive heat shock proteins (grp-78, grp-170, grp-94, grp-75), while bacterial infection caused a down-regulation in antioxidant genes (prdx4 and mn-sod). Diet and infection interaction down-regulated the transcription levels of genes associated with oxidative stress response (prdx5 and gpx4) in liver. In head-kidney, GRA led to an up-regulation of genes associated with inflammation (il34, ccr9, cd33) and a down-regulation of genes related to cytokine signalling (mif, il1b, defb, a2m, myd88). Additionally, bacterial infection up-regulated immunoglobulins production (IgMs) and down-regulated the transcription of the antimicrobial peptide leap2 in head kidney. Overall, we found that GRA supplementation modulated seabass resistance to Phdp infection.Entities:
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Year: 2019 PMID: 31695116 PMCID: PMC6834676 DOI: 10.1038/s41598-019-52693-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Mortality and survival percentage recorded for 10 days post-infection in seabass fed the experimental diets (CTRL or GRA) and subjected to Phdp infection.
| Days Post-Infection | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DIET_INFECTION | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Total Dead | % survival |
| CTRL_PLACEBO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00a |
| CTRL_PLACEBO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00a |
| GRA_PLACEBO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00a |
| GRA_PLACEBO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00a |
| CTRL_PHDP | 0 | 0 | 2 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 6 | 80.00b |
| CTRL_PHDP | 1 | 0 | 1 | 2 | 1 | 0 | 2 | 0 | 0 | 0 | 7 | 76.67b |
| GRA_PHDP | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 0 | 0 | 0 | 6 | 80.00b |
| GRA_PHDP | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 93.10b |
N = 2 tanks per group. Superscript letters indicate significant differences between infected and placebo groups (p < 0.05).
Figure 1Glucose (a) and Triglycerides (b) levels analysed in plasma of seabass fed the experimental diets (CTRL or GRA) and subjected to Phdp infection. Results presented as mean ± standard deviation. N = 16 fish per group. Different letters indicate significant differences between diets and different numbers indicate differences between infection and placebo (p < 0.05).
Figure 2Peroxidase (a) and lysozyme (b) activities determined in plasma of seabass fed the experimental diets (CTRL or GRA) and subjected to Phdp infection. Results presented as mean ± standard deviation. N = 16 fish per group. Different letters indicate significant differences between diets and different numbers indicate differences between infection and placebo (p < 0.05).
Figure 3Lipid peroxidation (a), Catalase (b) and glutathione s-transferase (c) activities determined in liver of seabass fed the experimental diets (CTRL or GRA) and subjected to Phdp infection. Results presented as mean ± standard deviation. N = 16 fish per group. Different letters indicate significant differences between diets and different numbers indicate differences between infection and placebo (p < 0.05).
Figure 4Discriminant analysis (PLS-DA) of liver molecular signatures of seabass altered by dietary Gracilaria sp. supplementation and/or Phdp infection (N = 20 fish per group). (a) Cumulative coefficients of goodness of fit (R2, white bars) and prediction (Q2, grey bars) by each component; 77% of total variance is explained by four components. (b) PLS-DA score plot of acquired data from infected individuals along component 1 and 2. (c) PLS-DA score plot of acquired data from infected individuals along component 1 and 3. (d) Ordered list of markers by variable importance (VIP) in the projection of PLS-DA model for group differentiation. Markers with VIP values > 1 after the first, second and third components are highlighted in yellow, blue and orange, respectively.
Figure 5Discriminant analysis (PLS-DA) of head kidney molecular signatures of seabass altered by dietary Gracilaria sp. supplementation and/or Phdp infection (N = 20 fish per group). (a) Cumulative coefficients of goodness of fit (R2, white bars) and prediction (Q2, grey bars) by each component; 78% of total variance is explained by four components. (b) PLS-DA score plot of acquired data from infected individuals along component 1 and 2. (c) PLS-DA score plot of acquired data from infected individuals along component 1 and 3. (d) Ordered list of markers by variable importance (VIP) in the projection of PLS-DA model for group differentiation. Markers with VIP values > 1 after the first, second and third components are highlighted in yellow, blue and orange, respectively.