Shrimp aquaculture ponds are an established technology that helps answer the demand for high-protein food while reducing the impact of fishing on the oceans.

However, as a closed system, high in organic matter, aquaculture ponds in general and those used for shrimp in particular tend to develop anoxic sediments and favour sulfate reduction to H2S. The development of hydrogen sulphide, in return, is toxic to the shrimp and can lead to lower yields.

A standard solution to the problem is to inject air into the sediments. However, this solution requires additional infrastructure, is costly to operate, and can also disturb other essential life forms in the pond, such as benthic plants. 

In this work by Torun et al. (2024), the authors used a carefully designed lab model of shrimp ponds to show that the addition of molybdate at concentrations as low as 5 mg/l delayed the accumulation of H2S and pushed the zone rich in sulphide deeper into the sediment.

The postulated mechanism for the inhibition in H2S production is that molybdate binds to the ATP sulfurylase in sulphate-reducing bacteria (SRB), and together with ATP, they generate adenosine 5′-phosphosulfate (APS) that cannot be used as an electron acceptor.

Surprisingly, however, the growth of SRB was stimulated rather than inhibited in this experiment. While the exact cause remains unknown, the authors postulate that SRB resorted to alternative metabolic pathways such as fermentation.

Overall, while this work was done on a model system in the lab, adding molybdate to shrimp aquaculture ponds is a promising technique and should be tested on a larger scale.

Reference

Torun F, Hostins B, Schryver PD, Boon N, Vrieze JD. (2024). Molybdate delays sulphide formation in the sediment and transfer to the bulk liquid in a model shrimp pond. bioRxiv, ver.3, peer-reviewed and recommended by Peer Community In Microbiology. https://doi.org/10.1101/2023.11.16.567380

In fed aquaculture, fishes are commonly fed with a fish-oil based diet mostly coming from captured fishes. This is one main global issue leading to overfishing of wild species (Cashion et al., 2017; Tacon & Metian, 2008). Several alternatives in lipid sources for fish diet have been tested and promising alternatives such as plants (e.g. rapeseed oil) or microalgae (e.g. Schizochytrium sp.) have been identified (Pérez-Pascual et al., 2020). Like other animals, fishes’ digestive tract is composed of a microbiota whose composition is linked to the host physiological state as well as its diet (Yukgehnaish et al., 2020). In reared fishes such as the European sea bass (Dicentrarchus labrax), replacing fish oil by other sources such as microalgae in their diet has been shown to modify the digestive microbiota composition (Pérez-Pascual et al., 2020).

Here, the aim of Katsoulis-Dimitriou et al. (2024), was to test the effect of three dietary microalgae blends on the midgut microbiota composition of the reared fishes. The authors compared the effect of a control diet (i.e. with only fish oil as lipid source, namely, FO) with that of three experimental diets with two thirds of the fish oil replaced by either a mixture of the microalgae Microchloropsis gaditana and Isochrysis sp. (now known as Tisochrysis lutea, MI), Phaeodactylum tricornutum and Isochrysis sp. (PI) or Schizochytrium sp. and P. tricornutum (SP). For each diet, 25 fishes were reared in each of the triplicated tanks and, after 80 days of experiment, a total of 10 fishes per diet were sampled. DNA was extracted from the midgut part of the intestine and a 16S rDNA-based metabarcoding approach was conducted to survey the associated bacterial community. Each diet type, FO, MI, PI and SP, was mostly characterized by a composition of specific abundant OTUs, indicating the clear influence of the oil composition on the digestive microbiota. When feeding with the MI diet, the authors also highlighted the presence of some candidate genera (e.g. Pseudoalteromonas, Pseudomonas, Bacillus and Rhodopseudomonas) as potential probiotics for fish aquaculture. Finally, in comparison to the fish oil diet, a predictive metabolic analysis of the bacterial community could suggest a differential expression of some polysaccharide metabolisms with the microalgae-based diets, highlighting a probable diet-based effect on the microbiota functioning.

The work from Katsoulis-Dimitriou et al. (2024) completes the current knowledge on using sustainable alternatives to traditional fish feed and its effect on the digestive microbiota composition of fishes. This work also opens new ways to be explored considering the enrichment of potential probiotics using microalgae-base diets. Further analyses testing specific functional approaches (e.g. transcriptomics, metabolomics) may allow completing the understanding of the gut microbiota functioning linked to diet composition. Finally, measurements on fish biometrics in a similar experiment should help understanding the contribution of a microalgal-diet to fish fitness.

References

Cashion, T., Le Manach, F., Zeller, D., & Pauly, D. (2017). Most fish destined for fishmeal production are food‐grade fish. Fish and Fisheries, 18(5), 837–844. https://doi.org/10.1111/faf.12209

Katsoulis-Dimitriou, S., Nikouli, E., Gkalogianni, E., Karapanagiotidis, I., Kormas, K. (2024) The effect of dietary fish oil replacement by microalgae on the gilthead sea bream midgut bacterial microbiota. BioRxiv, ver.3 peer-reviewed and recommended by PCI Microbiol https://doi.org/10.1101/2024.01.24.576938

Pérez-Pascual, D., Estellé, J., Dutto, G., Rodde, C., Bernardet, J.-F., Marchand, Y., Duchaud, E., Przybyla, C., & Ghigo, J.-M. (2020). Growth Performance and Adaptability of European Sea Bass (Dicentrarchus labrax) Gut Microbiota to Alternative Diets Free of Fish Products. Microorganisms, 8(9), 1346. https://doi.org/10.3390/microorganisms8091346

Tacon, A. G. J., & Metian, M. (2008). Global overview on the use of fish meal and fish oil in industrially compounded aquafeeds: Trends and future prospects. Aquaculture, 285(1–4), 146–158. https://doi.org/10.1016/j.aquaculture.2008.08.015

Yukgehnaish, K., Kumar, P., Sivachandran, P., Marimuthu, K., Arshad, A., Paray, B. A., & Arockiaraj, J. (2020). Gut microbiota metagenomics in aquaculture: Factors influencing gut microbiome and its physiological role in fish. Reviews in Aquaculture, 12(3), 1903–1927. https://doi.org/10.1111/raq.12416

The issue of whether there is a clear and detectable relationship -either deterministic or stochastic- of fish gut microbiota with evolutionary processes is far from being resolved. Studies on fish microbiota are more perplexed as this animal group includes species both from wild and farmed populations (for food production, ornamental fish and animal models), with variable life cycles and ecophysiologies, and all these features expand the type of interactions to be studied. Based on this biological features variability, multiple methodological limitations, especially for the species with wild populations, are perhaps among of the central reasons for this knowledge gap. Therefore, experimental approaches, which can eliminate some of this variability, seem to be the best approach.

The preprint by Evangelista et al. (2023) entitled "Within-species variation in the gut microbiome of medaka (Oryzias latipes) is driven by the interaction of light intensity and genetic background" is an example of such a targeted study with a freshwater fish species. Due to the paper's finely detailed experimental design, the interdisciplinary skills of the participating co-authors and exhaustive data analysis, this paper manages to draw solid and reproducible results and conclusions. This renders it not only an insightful contribution towards the more general host-microbe interactions in an evolutionary framework, but also a perfect example on how current and future relevant research should be conducted. I feel confident that this paper will assist other scientits of the field to move forward with their current working hypotheses but also to generate novel ones.

Reference :

Evangelista C, Kamenova S, Diaz Pauli B, Sandkjenn J, Vollestad A, Edeline E, Trosvik P, de Muinck E (2023) Within-species variation in the gut microbiome of medaka (Oryzias latipes) is driven by the interaction of light intensity and genetic background. bioRxiv, 2023.02.17.528956, ver. 2 peer-reviewed and recommended by Peer Community in Microbiology. https://doi.org/10.1101/2023.02.17.528956