Project description:Understanding natural defence mechanisms against parasites can be a valuable tool for the development of innovative therapies. In this study, we investigated the interplay between the gill mucus metabolome and microbiome of Chaetodon lunulatus, a butterflyfish known to avoid gill monogeneans whilst living amongst closely related parasitized species. In an attempt to identify metabolites and OTUs potentially involved in parasite defence mechanisms, we studied the metabolome (LC-MS/MS) and microbiome of several sympatric butterflyfish species, including the only non-parasitized species C. lunulatus. After observing significant differences between the metabolome and microbiome of parasitized versus non-parasitized fish (PCoA, ANOSIM), we obtained the discriminant metabolites and OTUs using a supervised analysis. Some of the most important discriminant metabolites were identified as peptides, and three new β-subunit haemoblogin-derived peptides from C. lunulatus (CLHbβ-1, CLHbβ-2 and CLHbβ-3) were purified, characterised and synthesised. We also identified specific bacterial families and OTUs typical from low-oxygen habitats in C. lunulatus gill mucus. By using a correlation network between the two datasets, we found a Fusobacteriaceae strain exclusively present in C. lunulatus highly correlated to the peptides. Finally, we discuss the possible involvement of these peptides and Fusobacteriaceae in monogenean avoidance by this fish species.
Project description:Ectoparasitic flatworms from the family Diplozoidae (Platyhelminthes: Monogenea) represent serious hematophagous fish pathogens. Information related to the biochemical and molecular nature of the physiological processes is rather sporadic, as well as the knowledge of the molecules produced by monogeneans and their role in host-parasite interaction. Therefore, we performed a complex secretomic analysis of monogenean representative Eudiplozoon nipponicum for the purpose to identify functionally important protein molecules involved in these host-parasite interactions.
2021-04-17 | PXD017293 | Pride
Project description:Monogenean diversity assessed by a metabarcoding approach
| PRJNA750891 | ENA
Project description:Signatures of convergence in Neotropical cichlid fish
Project description:Environmental DNA analysis shows high potential as a tool for estimating of intraspecific genetic diversity in a wild fish population
Project description: In fish, the slow-twitch skeletal muscle fibres have an oxidative metabolism, present peripherical location in the red muscle, and are used for sustained movements. They may respond to alterations in food availability differently than the fast-twitch muscle. The aim of this manuscript was to study the slow-twitch muscle fibres of Piaractus Mesopotamicus, a neotropical fish, submitted to 30 days of fasting (D30) followed by one day (D31) or 30 days of refeeding (D60). The treated animals were compared with regularly fed fish. To verify the presence of atrophy and hypertrophy, we performed histological analysis of muscle fibre diameter in D30 and D60, and RT-qPCR gene expression analysis of catabolic (murfa, murfb, mafbx) and anabolic genes (igf-1, mTOR) in D30, D31 and D60. The gene expression of the allergen and Ca2+-carrier parvalbumin (pvalb) was also measured in D30, D31 and D60. The proteome of slow-twitch fibres at D30 and D60 was obtained by shotgun proteomics (digestion of proteins with trypsin followed by LC-MS/MS identification), and the proteins differentially expressed were used to construct protein interaction networks. The histological analysis showed no difference between treated fish in relation to the control. The expression of catabolic and anabolic genes was not changed, except for the negative regulation of igf-1 in D30 and of mtor in D31. The expression of pvalb was not changed in D30 and D60, but it was decreased in D31. The proteomic analysis identified 169 proteins in D30 (24 upregulated and 18 downregulated) and 170 proteins in D60 (17 upregulated and 21 downregulated). Many of them were related to energetic metabolism, including lipid metabolism, as shown by the protein network analysis. These results enlarge our understanding of the acclimation of slow-twitch fibres to changes in nutrient availability and set a path for future research.