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Heatmap of the difference from the minimum Akaike’s information criterion (AIC) (left) between each fitted model for each individual. Dark red shows models that are the best fit; blue are models that differ a lot from minimum AIC. Model fit (right) on the averaged distribution in each species. Colour in bold indicates the “best” fitted model. *Model-species combination that has significantly worse fit

Heatmap of the difference from the minimum Akaike’s information criterion (AIC) (left) between each fitted model for each individual. Dark red shows models that are the best fit; blue are models that differ a lot from minimum AIC. Model fit (right) on the averaged distribution in each species. Colour in bold indicates the “best” fitted model. *Model-species combination that has significantly worse fit

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In this study, we hypothesized that sympatrically grown farmed fish, i.e. fish which experience similar environmental conditions and nutritionally similar diets, would have more convergent gut microbiota. Using a “common garden” approach, we identified the core microbiota and bacterial community structure differences between five fish species farme...

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... Such low overlap implies that each experimental treatment, i.e. aquafeed, shapes a different gut microbiota structure. Some of the OTUs representing the core microbiota, such as Cutibacterium and Corynebacterium have been detected in previous studies in sea bass (Nikouli et al. , 2021 along with several Gammaproteobacteria (i.e. Pseudomononas ) although the gamma core bacteria detected here belonged to different genera. ...
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... Among the hydrobionts, there is a significant degree of variation in the dominant members of the gut microbial community. For example, fish communities are rich in Proteobacteria [46], while amphibious communities are dominated by Firmicutes and Bacteroidetes [47]. In the present study, Firmicutes and Proteobacteria were identified as the keystone phyla of the gut microbiome, whereas the phyla Bacteroidetes and Actinobacteria were also abundant. ...
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... The fish-microbiome interactions play a vital role in determining the overall health and well-being of farmed fish (de Bruijn et al., 2018;Raulo et al., 2018;Perry et al., 2020;Luan et al., 2023). Numerous studies have examined the fish-associated microbiome throughout various life stages, from juvenile and adult stages along with their dynamics with the rearing environment including factors such as water quality and feed composition (Wang et al., 2018;Krotman et al., 2020;Zeng et al., 2020;Nikouli et al., 2021;Roquigny et al., 2021;Sehnal et al., 2021;Karlsen et al., 2022;Quero et al., 2022;Rabelo-Ruiz et al., 2022). However, so far, little is known about the diversity and function of these microorganisms, particularly in relation to disease occurrence during the earlier rearing stages. ...
... Similarly, there is a significant number of interactions involving the Psychrobacter genus, although the contribution of certain species is less than in symptomatic larvae. These findings, indicate the importance of members of this genus that is not detected in previous studies on S. aurata larvae (Califano et al., 2017;Nikouli et al., 2021). Thus, the role and the establishment of members of this genus in relation to the health status of S. aurata larvae required further investigation and should cover diverse larviculture systems to understand their influence on later larval stages, as well as on the subsequent juvenile and adult stages of the fish. ...
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... In our study, we observed a significant increase in the relative abundance of the Cutibacterium and Shewanella genera in the posterior intestines of fish fed the CVP diet. Cutibacterium has been reported in various fish species [51][52][53][54], with specific species within this genus known to produce vitamins from the B group, including B12 and short-chain fatty acids [55,56]. These short-chain fatty acids play critical roles in maintaining intestinal balance, acting as energy sources, anti-inflammatory agents, and growth promoters [57,58]. ...
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The use of functional feeds in aquaculture is currently increasing. This study aimed to assess the combined impact of dietary green microalgae Chlorella fusca and ethanol-inactivated Vibrio proteolyticus DCF12.2 (CVP diet) on thick-lipped grey mullet (Chelon labrosus) juvenile fish. The effects on intestinal microbiota and the transcription of genes related to metabolism, stress, and the immune system were investigated after 90 days of feeding. Additionally, the fish were challenged with Aeromonas hydrophila and polyinosinic–polycytidylic acid (poly I:C) to evaluate the immune response. Microbiota analysis revealed no significant differences in alpha and beta diversity between the anterior and posterior intestinal sections of fish fed the control (CT) and CVP diets. The dominant genera varied between the groups; Pseudomonas and Brevinema were most abundant in the CVP group, whereas Brevinema, Cetobacterium, and Pseudomonas were predominant in the CT group. However, microbial functionality remained unaltered. Gene expression analysis indicated notable changes in hif3α, mhcII, abcb1, mx, and tnfα genes in different fish organs on the CVP diet. In the head kidney, gene expression variations were observed following challenges with A. hydrophila or poly I:C, with higher peak values seen in fish injected with poly I:C. Moreover, c3 mRNA levels were significantly up-regulated in the CVP group 72 h post-A. hydrophila challenge. To conclude, incorporating C. fusca with V. proteolyticus in C. labrosus diet affected the microbial species composition in the intestine while preserving its functionality. In terms of gene expression, the combined diet effectively regulated the transcription of stress and immune-related genes, suggesting potential enhancement of fish resistance against stress and infections.
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... As it is well known that diet is a very important factor that affects the host's health, hence interaction of microbial species with the host's nutrition becomes a vital study. Nikouli et al. [7] while working on the gut microbiome composition of five sympatrically farmed marine fish reported that the intestinal microbiome species act as a second genome of the animals controlling various vital functions of the body. Further, it is mentioned that the colonization of the fish gut microbiome community depends on both intrinsic and extrinsic factors including feeding habits. ...
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... The definition of the core microbiota is based on shared microorganisms among comparable habitats [39], and for this, a large number of replicate samples is needed to overcome the effect of individual variability [40]. Indeed, such prerequisites are achievable under experimental conditions (e.g., Uren Webster et al. [11], Panteli et al. [41]) or in the case of farmed fish populations (e.g., Nikouli et al. [42], Le et al. [43], Nikouli et al. [44]). However, when core microbiota of fish from natural populations are investigated by experimental fishing in the open sea, collecting adequate replicates of specimens of the same age cannot be secured, so scientists must rely on what they catch. ...
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... Despite that each feeding habit and digestive physiology categories did not have similar numbers of fish species, the rather sporadicor, at least, inexplicable with the current data-differences leave the host species effect as the more likely factor for the shaping of the midgut bacterial microbiota; additional data from more species per feeding type category are required in future studies to clarify this issue. Even in co-farmed species reared under the same environmental and dietary conditions, each fish species was found to host its own distinct gut microbiota [44]. However, gut microbiota is susceptible to manipulations at least for experimental or commercial rearing purposes [1]. ...
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Fish microbiome science is progressing fast, but it is biased toward farmed or laboratory fish species against natural fish populations, which remain considerably underinvestigated. We analyzed the midgut bacterial microbiota of 45 specimens of 12 fish species collected from the Gyaros Island marine protected area (Aegean Sea, Greece). The species belong to seven taxonomic families and are either herbivores or omnivores. Mucosa midgut bacterial diversity was assessed by amplicon metabarcoding of the 16S rRNA V3–V4 gene region. A total of 854 operational taxonomic units (OTUs) were identified. In each fish species, between 2 and 18 OTUs dominated with cumulative relative abundance ≥ 70%. Most of the dominating bacterial taxa have been reported to occur both in wild and farmed fish populations. The midgut bacterial communities were different among the 12 fish species, except for Pagrus pagrus and Pagellus erythrinus, which belong to the Sparidae family. No differentiation of the midgut bacterial microbiota was found based on feeding habits, i.e., omnivorous vs. carnivorous. Comparing wild and farmed P. pagrus midgut bacterial microbiota revealed considerable variation between them. Our results expand the gut microbiota of wild fish and support the host species effect as the more likely factor shaping intestinal bacterial microbiota.
... piscicida, representing the aetiological agent of pasteurellosis [48], suggesting an opportunistic lifestyle towards the fish host. The Pseudomonas genus was found in the core gut microbiome of 5 sympatrically farmed marine fish species [49] as well as in the core mid-gut microbiota of Mediterranean seabass and seabream [15] whereas Staphylococcus epidermidis represented one of the core OTUs in S. aurata in the Aegean Sea [15]. Pseudomonas members have been often reported in carnivorous teleosts and reported the most abundant shared bacterial species in the gut of S. aurata and D. labrax [50], and have been reported to contribute to teleosts' digestion through the secretion of several digestive enzymes [50 and references therein]. ...
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Gilthead seabream is among the most important farmed fish species in the Mediterranean Sea. Several approaches are currently applied to assure a lower impact of diseases and higher productivity, including the exploration of the fish microbiome and its manipulation as a sustainable alternative to improve aquaculture practices. Here, using 16S rRNA gene high-throughput sequencing, we explored the microbiome of farmed seabream to assess similarities and differences among microbial assemblages associated to different tissues and compare them with those in the surrounding environment. Seabream had distinct associated microbiomes according to the tissue and compared to the marine environment. The gut hosted the most diverse microbiome; different sets of dominant ASVs characterized the environmental and fish samples. The similarity between fish and environmental microbiomes was higher in seawater than sediment (up to 7.8 times), and the highest similarity (3.9%) was observed between gill and seawater, suggesting that gills are more closely interacting with the environment. We finally analyzed the potential connections occurring among microbiomes. These connections were relatively low among the host’s tissues and, in particular, between the gut and the others fish-related microbiomes; other tissues, including skin and gills, were found to be the most connected microbiomes. Our results suggest that, in mariculture, seabream microbiomes reflect only partially those in their surrounding environment and that the host is the primary driver shaping the seabream microbiome. These data provide a step forward to understand the role of the microbiome in farmed fish and farming environments, useful to enhance disease control, fish health, and environmental sustainability.
... The "typical" makeup of the fish gut microbiome is composed of core taxa of bacteria predominantly of the phyla Proteobacteria, Firmicutes, Actinobacteria, Fusobacteria, and Bacteroidetes (Cahill, 1990;Gómez and Balcázar, 2008;Roeselers et al., 2011;Ghanbari et al., 2015;Adamovsky et al., 2018). The relative abundance of genera present in the gut microbiome varies greatly between species of fish (Givens et al., 2015;Egerton et al., 2018;Nikouli et al., 2021) and between individuals within a species (Burke et al., 2011). ...
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The gut microbiome of fish contains core taxa whose relative abundances are modulated in response to diet, environmental factors, and exposure to toxicogenic chemicals, influencing the health of the host fish. Recent advances in genomics and metabolomics have suggested the potential of microbiome analysis as a biomarker for exposure to toxicogenic compounds. In this 35-day laboratory study, 16S RNA sequencing and multivariate analysis were used to explore changes in the gut microbiome of juvenile Lates calcarifer exposed to dietary sub-lethal doses of three metals: vanadium (20 mg/kg), nickel (480 mg/kg), and iron (470 mg/kg), and to two oils: bunker C heavy fuel oil (HFO) (1% w/w) and Montara, a typical Australian medium crude oil (ACO) (1% w/w). Diversity of the gut microbiome was significantly reduced compared to negative controls in fish exposed to metals, but not petroleum hydrocarbons. The core taxa in the microbiome of negative control fish comprised phyla Proteobacteria (62%), Firmicutes (7%), Planctomycetes (3%), Actinobacteria (2%), Bacteroidetes (1%), and others (25%). Differences in the relative abundances of bacterial phyla of metal-exposed fish were pronounced, with the microbiome of Ni-, V-, and Fe-exposed fish dominated by Proteobacteria (81%), Firmicutes (68%), and Bacteroidetes (48%), respectively. The genus Photobacterium was enriched proportionally to the concentration of polycyclic aromatic hydrocarbons (PAHs) in oil-exposed fish. The probiotic lactic acid bacterium Lactobacillus was significantly reduced in the microbiota of fish exposed to metals. Transcription of cytokines IL-1, IL-10, and TNF-a was significantly upregulated in fish exposed to metals but unchanged in oil-exposed fish compared to negative controls. However, IL-7 was significantly downregulated in fish exposed to V, Ni, Fe, and HFOs. Fish gut microbiome exhibits distinctive changes in response to specific toxicants and shows potential for use as biomarkers of exposure to V, Ni, Fe, and to PAHs present in crude oil.