Project description:A gilthead sea bream (Sparus aurata) microarray platform was developed to identify brain gene expression profiles in response to environmental concentrations of human pharmaceuticals.
Project description:In this study, we analyzed both together the epithelial tissue and the secreted mucus response using a holistic interactome-based multi-omics approach. The effect of the gilthead sea bream (Sparus aurata) skin mucosa to a dietary inclusion of spray-dried porcine plasma (SDPP) was evaluated.
Project description:A gilthead sea bream (Sparus aurata) microarray platform was developed to identify brain gene expression profiles in response to environmental concentrations of human pharmaceuticals. Comparative analysis of gene expression profiles was conducted among brain of gilthead seabream exposed to Acetaminophen (APAP; analgesic), Carbamazepine (CBZ; anti-epileptic) and Atenolol (AT; β-blocker). All groups of samples were also compared with brain of control individuals.
Project description:Sparicotylosis is an endemic parasitic disease across the Mediterranean Sea caused by the polyopisthocotylean monogenean Sparycotyle chrysophrii, which affects the gills of gilthead sea bream (Sparus aurata). Current disease-management, mitigation and treatment strategies are scarce against sparicotylosis. In order to successfully develop more efficient therapeutic strategies against this disease, understanding which molecular mechanisms and metabolic pathways are altered in the host is critical. This study aims to elucidate how S. chrysophrii infection modulates giltheadd seea bream physiological status and to identify the main altered biological processes through plasma proteomics of the host.
Project description:Analysis of the gene expression profiles of Sparus aurata head kidney after infection with Photobaterium damselae piscicida. The expression levels of 21,497 sea bream transcripts, on both directions, 24 and 48 hours post-infection, were compared with the levels detected in uninfected individuals.
Project description:Two different early developmental stages of gilthead sea bream: i) larvae at 24 hours post-hatching ( Stage 1), and ii) larvae at 96 hours post-hatching (Stage 4), were used for gene expression analysis. For each stage, total RNA was extracted from five (5) independent biological replicates, each consisting of pools of approximately 40-50 larvae. Based on SAM analysis, 1518 genes were differentially expressed between the two stages with a FDR (False Discovery Rate) of 0.0. In this study, we analyzed the gene expression profiles of two early developmental stages of gilthead sea bream using Agilent-016251 Sparus aurata Oligo Microarray platform (10 arrays, no replicate) based on single-colour detection (Cyanine-3 only). Microarrays are scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides are scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software creates a unique ID for each pair of XDR scans and saves it to both scan image files. Feature Extraction 9.5 uses XDR ID to link the pairs of scans together automatically when extracting data. The signal left after all the FE processing steps have been completed is ProcessedSignal that contains the Multiplicatively Detrended, Background-Subtracted Signal .
Project description:We report the proteomic characterization of livers from Sparus aurata exposed to cold temperatures. In this study, mimicking the winter challenge conditions, a 8 week feeding trial was carried out on gilthead sea bream juveniles reared in RAS systems at a temperature ramp made of two phases of four weeks each: a cooling phase from 18°C 8 (t0) to 11°C (t1) and a cold maintenance phase at 11°C (t2). Sparus aurata livers, after exposure to the three temperature phases (t0, t1 and t2), were collected and analyzed using a shotgun proteomics approach based on filter-aided sample preparation followed by tandem mass spectrometry, peptide identification carried out using Sequest-HT as search engine within the Proteome Discoverer informatic platform, and label-free differential analysis. Along the whole trial, sea breams underwent several changes occurring upon thermal stress in liver protein abundance. These occurred mostly during the cooling phase, when catabolic processes were mainly observed. These included protein and lipid degradation and a decrease in protein synthesis and amino acid metabolism. A decrease in protein mediators of oxidative stress protection was also seen. Liver protein profiles showed less marked changes during cold maintenance, although pathways such as the methionine cycle and sugar metabolism were significantly affected. This study provided useful hints on the dynamics and extent of the metabolic shift occurring in sea bream liver with decreasing water temperature, helping the development of feeds aimed at compensating the thermal stress encountered by fish in offshore farming conditions.
Project description:Transcriptional profiling of adipose tissue comparing three diets with different levels of replacement of fish oil for vegetable oils. Juvenile gilthead sea bream (Sparus aurata L.) of 16 g initial mean body weight were distributed into 9 fibreglass tanks (500 l) in groups of 60 fish at the research experimental facilities of IATS. Each group received (from May 23rd to September 19th) one of the three experimental diets nominally CTRL, 66VO and VO. All diets were based on plant proteins and dietary oil was either Scandinavian FO (CTRL diet) or a blend of vegetable oils, replacing the 66% (66VO diet) and 100% (VO diet) of FO. Four samples, using a control diet (CTRL) as reference and double color hybridization and dye swap with the other two (66VO, VO)
Project description:In this study, gilthead sea bream (Sparus aurata) fast muscle myoblasts were stimulated with two pro-growth treatments, amino acids (AA) and insulin-like growth factor 1 (Igf-1), to analyze the transcriptional response of genes, microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) and their regulatory network. AA had a higher impact on gene transcription (1795 genes significantly changed) compared to Igf-1 (385 genes significantly changed). Both treatments stim-ulated the transcription of genes related to muscle differentiation (GO:0042692) and sarcomere components (GO:0030017), but AA stimulated more the DNA replication and cell division (GO:0007049). Notably, four miRNAs (miR-21, miR-146, miR-22b and miR-206) dominated the landscape among 403 expressed miRNAs. Both pro-growth treatments altered the transcription of over 100 miRNAs, including muscle-specific miRNAs (myomiRs) such as miR-133a/b, miR-206, miR-499, miR-1, and miR 27a. Among 111 detected lncRNAs (> 1 FPKM), only 30 were significantly changed by AA and 11 by Igf-1. Eight lncRNAs exhibited strong negative correlations with several mRNAs, suggesting direct regulation; while 30 lncRNAs showed strong correlations and interac-tions with several miRNAs, suggesting their function as miRNA’s sponges. This work is the first step in the identification of ncRNAs network controlling muscle development and growth in gilthead sea bream, pointing out potential regulatory mechanisms in response to pro-growth signals.
Project description:In this study, gilthead sea bream (Sparus aurata) fast muscle myoblasts were stimulated with two pro-growth treatments, amino acids (AA) and insulin-like growth factor 1 (Igf-1), to analyze the transcriptional response of genes, microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) and their regulatory network. AA had a higher impact on gene transcription (1795 genes significantly changed) compared to Igf-1 (385 genes significantly changed). Both treatments stim-ulated the transcription of genes related to muscle differentiation (GO:0042692) and sarcomere components (GO:0030017), but AA stimulated more the DNA replication and cell division (GO:0007049). Notably, four miRNAs (miR-21, miR-146, miR-22b and miR-206) dominated the landscape among 403 expressed miRNAs. Both pro-growth treatments altered the transcription of over 100 miRNAs, including muscle-specific miRNAs (myomiRs) such as miR-133a/b, miR-206, miR-499, miR-1, and miR 27a. Among 111 detected lncRNAs (> 1 FPKM), only 30 were significantly changed by AA and 11 by Igf-1. Eight lncRNAs exhibited strong negative correlations with several mRNAs, suggesting direct regulation; while 30 lncRNAs showed strong correlations and interac-tions with several miRNAs, suggesting their function as miRNA’s sponges. This work is the first step in the identification of ncRNAs network controlling muscle development and growth in gilthead sea bream, pointing out potential regulatory mechanisms in response to pro-growth signals.