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

As complex multipartite interactions among the coral host and coral-associated microbial entities including the dinoflagellate symbionts, bacteria, archaea and viruses, have been appreciated, a manipulatable, less-complex study system is desired to deepen our functional understanding of this fascinating symbiotic system. Among experimental manipulation approaches, removal of the algal symbionts using menthol is widely implemented; however, its effect on the rest of the coral-associated symbiotic members has not been explored, which is critical knowledge to assess experimental works using this popular method. This preprint by Puntin et al. (https://doi.org/10.1101/2023.08.23.554380) presents an important observation in this aspect. Their initial observations suggest that menthol-induced coral bleaching introduces stochastic changes in associated bacterial communities, which resemble dysbiosis, making bacterial communities more dissimilar from each other. They also observed low taxonomic diversity in bacterial communities on the corals maintained in aquaria over several months, worth noting as a positive value as an experimental system. Their data are preliminary by nature, while they present intriguing ideas that warrant further studies.

Reference

Puntin G, Wong JCY, Röthig T, Baker DM, Sweet M, Ziegler M (2024). The bacterial microbiome of symbiotic and menthol-bleached polyps of long-term aquarium-reared Galaxea fascicularis (2024). bioRxiv, ver.4., peer-reviewed and recommended by Peer Community In Microbiology. https://doi.org/10.1101/2023.08.23.554380 

Few studies deal with the understanding of disease ecology, especially in the agricultural domain. Soft rot Pectobacteriaceae are major plant pathogens that frequently co-infect potato tubers. Exploring their ecological relationships can provide valuable insights for effective monitoring and preventing disease. The study of Barny et al (2024) explores the dynamics of synthetic communities of soft rot Pectobacterium species (SRP) following in vitro and in vivo inoculations, focusing on the implications for disease development. To delve into co-infection dynamics, the authors constructed mixed populations comprising six strains, with three strains from each of two species. Through inoculations of both liquid cultures and potatoes, they observed outcomes using amplicon sequencing targeting the gapA gene, along with monitoring bacterial population sizes and symptoms on potato tubers. Results reveal intriguing patterns: competition among strains of the same species, cooperation through trophic interactions, and interference due to toxicity. Thanks to a modelling approach, they suggest that the presence of a cheater strain may be favoured when it is associated with an aggressive strain. This finding is crucial for field sampling strategies, as there is a risk that during an outbreak, only the cheater strain may be detected, potentially overlooking the problematic aggressive strain. 

While the study conducted by Barny et al. (2024) provides valuable insights into strain interactions, it also highlights areas for further exploration to enhance understanding. First, the extent to which different species occupy similar niches in real agricultural scenarios remains unclear. Additionally, comparative genomics analysis on strains and investigating specific gene candidates could offer valuable mechanistic insights into strain dynamics. These areas for future research offer chances to build up our knowledge base in this field and improve how we understand the interactions between bacteria in nature. The implications of the study extend beyond plant pathogens like SRP. Similar scenarios of complex diseases involving closely related species or strains competing within the same niche are observed in human pathogens as well.

Reference

Barny, M.-A., Thieffry, S., Gomes de Faria, C., Thebault, E., Pedron, J. (2024). Bacterial pathogens dynamic during multi-species infections. https://doi.org/10.1101/2023.12.06.570389

ONT long-read high-throughput sequencing is not routinely used for metabarcoding studies of microbial communities. Even though this technology is supposed to considerably improve phylogenetic coverage and taxonomic resolution, it initially suffered from relatively poor read accuracy.  Assessment of the performance of this new approach in comparison with routinely used 16S rDNA short-read sequencing is therefore needed to validate its use.

The study by Lemoinne et al. (2023) offers a comprehensive comparison of two 16S rDNA metabarcoding approaches on marine sediment samples. By comparing Illumina short-read sequencing with ONT long-read sequencing, the authors conclude that bacterial community structures inferred from both technologies were similar. They also found that differences observed between sampling sites and along the sea-land orientation were comparable between the two technologies. However, the choice of technology still has an impact on the obtained results, notably in terms of bacterial diversity retrieved, taxonomic resolution, and replicability between biological replicates.

Altogether, these results validate the use of ONT long-read sequencing for 16S metabarcoding approaches in marine sediments. Comparisons of such kinds targeting other remote environments are needed, as they might offer new opportunities for field scientists with no access to sequencing platforms to study the structure and composition of microbial communities.

Reference

Lemoinne, A., Dirberg, G., Georges, M., & Robinet, T. (2023). Fine-scale congruence in bacterial community structure from marine sediments sequenced by short-reads on Illumina and long-reads on Nanopore. biorXiv, version 3 peer-reviewed and recommended by Peer Community in Microbiology. https://doi.org/10.1101/2023.06.06.541006

Plant pathogens can cause devastating damage to crop (Strange and Scott 2005) greatly affecting a food resource in growing need on our planet. A significant proportion of global crops require irrigation, and with this, bare the risk of being affected by irrigation-borne pathogens (Lamichhane and Bartoli, 2015). Detection of plant pathogens in irrigation water can effectively be used to minimize this risk. River water makes up a major irrigation water source. Morris et al., (2023), propose monitoring whole river catchments to understand plant pathogen population dynamics and generate models to prevent outbreaks, similar to practices regarding water-borne human pathogens.

Monitoring 270 km of the river Durance, Morris et al., (2023) reveal that two groups of bacteria known to host pathogenic strains, Pseudomonas syringae and the Soft Rot Pectobacteriaceae are present in relatively high numbers across the entire catchment or significant parts of it, respectively, with their abundance mostly correlated to water temperature. Nevertheless, despite their presence no major outbreaks have been reported in recent years. The authors suggest that the current environmental conditions in the lower, agriculture-dominated part of the catchment may not generate the necessary environment for an outbreak. Alternatively, as also suggested, though some potentially pathogenic variants were detected in the study, they may not match the crops currently grown in the area (Morris et al., 2023).

The authors thus bring up the need for large scale monitoring and call for observations on potential land-use changes in the area that may alter the sensitive and seemingly stable conditions in such a way that outbreaks will be triggered. Change of land use, specifically from rural to agricultural use, has been repeatedly recognized to influence biodiversity (e.g., Ionescu et al., 2022). Furthermore, agricultural environments, with a dense network of irrigation channels, natural and man-made ponds, and larger reservoirs, will accelerate the spread of organisms through multiple biotic and abiotic vectors (Karnatak and Wollrab, 2020), and with this likely plant- (and other) pathogens. Overall, the work by Morris et al., (2023) highlights that studying the presence and distribution of plant pathogens in water used for irrigation across large areas, is bound to identify which potential pathogens are omnipresent, awaiting for the right condition for an outbreak; and which are rather spread from, isolated, local sources and thus can be effectively mitigated.

References

Strange, R. N., and Scott, P. R. (2005). Plant disease: a threat to global food security. Annu. Rev. Phytopathol. 43, 83–116. https://doi.org/10.1146/annurev.phyto.43.113004.133839

Lamichhane, J.R. and Bartoli, C. (2015), Plant pathogenic bacteria in open irrigation systems: what risk for crop health? Plant Pathol, 64: 757-766. https://doi.org/10.1111/ppa.12371

C.E. Morris, C. Lacroix, C. Chandeysson, C. Guilbaud, C. Monteil, S. Piry, Rochelle Newall E., S. Fiorini, F. Van Gijsegem, M.A. Barny, O. Berge (2023) Comparative abundance and diversity of populations of the Pseudomonas syringae and Soft Rot Pectobacteriaceae species complexes throughout the Durance River catchment from its French Alps sources to its delta. bioRxiv, 2022.09.06.506731, ver. 3 peer-reviewed and recommended by Peer Community in Microbiology. https://doi.org/10.1101/2022.09.06.506731 

Ionescu, D., Bizic, M., Karnatak, R., Musseau, C. L., Onandia, G., Kasada, M., Berger, S. A., et al. (2022). From Microbes to Mammals: Pond Biodiversity Homogenization across Different Land-Use Types in an Agricultural Landscape. Ecological Monographs 92(3): e1523. https://doi.org/10.1002/ecm.1523