Multi-Omics Approaches for Freshness Estimation and Detection of Illicit Conservation Treatments in Sea Bass (Dicentrarchus Labrax): Data Fusion Applications
Abstract
:1. Introduction
2. Results
2.1. Multi-Omic Characterization
2.1.1. Proteomic, Lipidomic and Metabolomic Characterization
2.1.2. Metagenomics Analysis
2.2. Multivariate Statistical Analysis
2.2.1. Multiple Factor Analysis
2.2.2. BE-PLS-DA
2.3. Bioinformatics and Data Interpretation
Proteomics Ontology Data Analysis
3. Discussion
3.1. Proteomics
3.1.1. Gills
3.1.2. Skin
3.1.3. Muscle
3.2. Lipidomics
3.3. Metabolomics
3.4. Metagenomics Analysis
4. Materials and Methods
4.1. Study Design and Illicit Treatment Application
4.2. Sample Collection and Pre-Treatment
4.2.1. Proteomics
4.2.2. Lipidomics
4.2.3. Metabolomics
4.2.4. Metagenomics
4.3. Omics Determinations
4.3.1. Proteomics
4.3.2. Lipidomics
4.3.3. Metabolomics
4.3.4. Metagenomics
- -
- Controls vs. Cafodos-treated after 3 h, separately for each sampling site;
- -
- Controls vs. Cafodos-treated after 24 h, separately for each sampling site;
- -
- Controls at 3 h vs. controls at 24 h, separately for each sampling site;
- -
- Cafodos-treated at 3 h vs. Cafodos-treated after 24 h, separately for each sampling site;
- -
- All controls at 3 h vs. all Cafodos-treated samples at 3 h (all sampling sites together);
- -
- All controls at 24 h vs. all Cafodos-treated samples at 24 h (all sampling sites together).
4.4. Multivariate Data Analysis
4.5. Software
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Gill | Eye | Skin | |||
---|---|---|---|---|---|
Family | Abundance (%) | Family | Abundance (%) | Family | Abundance (%) |
Flavobacteriaceae | 39.00 | Pseudoalteromonadaceae | 49.00 | Moraxellaceae | 38.00 |
Vibrionaceae | 30.00 | Comamonadaceae | 19.00 | Shewanellaceae | 21.00 |
Pseudoalteromonadaceae | 20.00 | Shewanellaceae | 13.00 | Pseudoalteromonadaceae | 19.00 |
Shewanellaceae | 7.00 | Moraxellaceae | 12.00 | Comamonadaceae | 13.00 |
Moraxellaceae | 2.00 | Flavobacteriaceae | 2.00 | Flavobacteriaceae | 5.00 |
Comamonadaceae | 2.00 | Xanthobacteraceae | 1.00 | Pseudomonadaceae | 1.00 |
Moritellaceae | 0.23 | Propionibacteriaceae | 0.82 | Propionibacteriaceae | 1.00 |
Rhodobacteraceae | 0.18 | Corynebacteriaceae | 0.69 | Xanthobacteraceae | 0.70 |
Hydrogenophilaceae | 0.12 | Moritellaceae | 0.63 | Vibrionaceae | 0.22 |
Rickettsiaceae | 0.04 | Pseudomonadaceae | 0.39 | Micrococcaceae | 0.15 |
Tissue | Family | Max Group Mean | Log2 Fold Change | Fold Change | p-Value | FDR p-Value |
---|---|---|---|---|---|---|
Eye | Xanthobacteraceae | 8.1 × 102 | 6.26 | 77 | 0.0000 | 0.0005 |
Comamonadaceae | 1.2 × 103 | 6.05 | 66 | 0.0001 | 0.0013 | |
Oxalobacteraceae | 1.0 × 102 | 5.19 | 37 | 0.0017 | 0.0092 | |
Corynebacteriaceae | 5.3 × 102 | 9.20 | 5.9 × 102 | 0.0041 | 0.0147 | |
Propionibacteriaceae | 4.4 × 102 | 3.96 | 16 | 0.0042 | 0.0147 | |
Rhizobiaceae | 1.4 × 102 | 10.43 | 1.4 × 103 | 0.0089 | 0.0234 | |
Skin | Flavobacteriaceae | 3.5 × 102 | 6.53 | 92 | 0.0040 | 0.0228 |
Pseudoalteromonadaceae | 4.2 × 102 | 3.22 | 9.3 | 0.0042 | 0.0228 |
Sampling Site | Omics Sources and (Original Variables) | Omics Sources and (Selected Variables) | N° LVs | Acc% Cal | Acc% cv |
---|---|---|---|---|---|
Muscle 3 h | Lipid (921) + Metab (464) + Prot (66) | Lipid (45) + Metab (16) + Prot (1) | 1 | 100 | 100 |
Lipid (921) | Lipid (18) | 1 | 100 | 100 | |
Metab (464) | Metab (14) | 1 | 100 | 100 | |
Prot (66) | Prot (6) | 1 | 100 | 100 | |
Muscle 24 h | Lipid (921) + Metab (464) + Prot (66) | Lipid (11) + Metab (13) + Prot (3) | 1 | 100 | 100 |
Lipid (921) | Lipid (27) | 1 | 100 | 100 | |
Metab (464) | Metab (15) | 1 | 100 | 100 | |
Prot (66) | Prot (6) | 1 | 100 | 100 | |
Skin 3 h | Lipid (944) + Metab (384) + Prot (99) | Lipid (26) + Metab (26) + Prot (1) | 1 | 100 | 100 |
Lipid (944) | Lipid (18) | 1 | 100 | 100 | |
Metab (384) | Metab (24) | 1 | 100 | 100 | |
Prot (99) | Prot (12) | 1 | 100 | 100 | |
Skin 24 h | Lipid (944) + Metab (384) + Prot (99) | Lipid (64) + Metab (69) + Prot (14) | 1 | 100 | 100 |
Lipid (944) | Lipid (12) | 1 | 100 | 100 | |
Metab (384) | Metab (34) | 1 | 100 | 100 | |
Prot (99) | Prot (4) | 1 | 100 | 100 | |
Gills 3 h | Metab (380) + Prot (108) | Metab (59) + Prot (14) | 1 | 100 | 100 |
Metab (380) | Metab (69) | 1 | 100 | 100 | |
Prot (108) | Prot (12) | 1 | 100 | 100 | |
Gills 24 h | Metab (380) + Prot (108) | Metab (7) + Prot (1) | 1 | 100 | 100 |
Metab (380) | Metab (14) | 1 | 100 | 100 | |
Prot (108) | Prot (14) | 1 | 100 | 100 | |
Eye 3 h | Metab (340) | Metab (69) | 1 | 100 | 100 |
Eye 24 h | Metab (340) | Metab (21) | 1 | 100 | 100 |
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Benedetto, A.; Robotti, E.; Belay, M.H.; Ghignone, A.; Fabbris, A.; Goggi, E.; Cerruti, S.; Manfredi, M.; Barberis, E.; Peletto, S.; et al. Multi-Omics Approaches for Freshness Estimation and Detection of Illicit Conservation Treatments in Sea Bass (Dicentrarchus Labrax): Data Fusion Applications. Int. J. Mol. Sci. 2024, 25, 1509. https://doi.org/10.3390/ijms25031509
Benedetto A, Robotti E, Belay MH, Ghignone A, Fabbris A, Goggi E, Cerruti S, Manfredi M, Barberis E, Peletto S, et al. Multi-Omics Approaches for Freshness Estimation and Detection of Illicit Conservation Treatments in Sea Bass (Dicentrarchus Labrax): Data Fusion Applications. International Journal of Molecular Sciences. 2024; 25(3):1509. https://doi.org/10.3390/ijms25031509
Chicago/Turabian StyleBenedetto, Alessandro, Elisa Robotti, Masho Hilawie Belay, Arianna Ghignone, Alessia Fabbris, Eleonora Goggi, Simone Cerruti, Marcello Manfredi, Elettra Barberis, Simone Peletto, and et al. 2024. "Multi-Omics Approaches for Freshness Estimation and Detection of Illicit Conservation Treatments in Sea Bass (Dicentrarchus Labrax): Data Fusion Applications" International Journal of Molecular Sciences 25, no. 3: 1509. https://doi.org/10.3390/ijms25031509