Improved characterization of food microbial ecosystems, especially those fermented is key to the development of food sustainability. Short-read metabarcoding is one of the most popular ways to study microbial communities. However, this approach remains complex because of the locks and biases it may entail particularly when applied to fungal communities. 

Building and using four mock communities from fermented food (bread, wine, cheese, fermented meat), Rué et al., 2023 demonstrate that combined DADA2 denoising algorithm followed to the FROGS tools gives a more accurate description of fungal communities compared to several commonly used bioinformatic workflows, dealing with all amplicon lengths. Moreover, Rué et al., 2023 provide guidance on which barcode to use (ITS1, ITS2, D1/D2 and RPB2), depending on the fermented food studied.

Practices in metabarcoding of fungi have been recently reviewed by Tedersoo et al., 2022 and their synthesis comes to the same conclusion as Rué et al., 2023.  As the reference databases are far from being complete notably for food ecosystems, the development of specific sequences public databases will enable the scientific community to lift the veil on this whole area of microbial ecology. 

The study conducted by Rué et al. (2023) provides a particularly detailed approach from a technical point of view, which contributes to improving the general practices in the metabarcoding of fungi. The design and the use of mock communities to compare the performances of the different pipelines is a strong point of this study. Another key element is the creation and use of an in-house database of fungal barcode sequences which improved the species-level affiliations

However, the study of fungal communities by metabarcoding is still a promising avenue of research in agri-food sciences. Thus, short-read sequencing, combined with suitable pipelines and databases, should remain of interest to the microbial ecology community (Pauvert et al., 2019; Furneaux et al., 2021). 

References

Furneaux, B., Bahram, M., Rosling, A., Yorou, N. S., & Ryberg, M. (2021). Long‐and short‐read metabarcoding technologies reveal similar spatiotemporal structures in fungal communities. Molecular Ecology Resources, 21(6), 1833-1849. https://doi.org/10.1111/1755-0998.13387

Pauvert, C., Buée, M., Laval, V., Edel-Hermann, V., Fauchery, L., Gautier, A., ... & Vacher, C. (2019). Bioinformatics matters: The accuracy of plant and soil fungal community data is highly dependent on the metabarcoding pipeline. Fungal Ecology, 41, 23-33. https://doi.org/10.1016/j.funeco.2019.03.005

Rué, O., Coton, M., Dugat-Bony, E., Howell, K., Irlinger, F., Legras, J. L., ... & Sicard, D. (2023). Comparison of metabarcoding taxonomic markers to describe fungal communities in fermented foods. BioRxiv,  2023-0113.523754, ver.3 peer-reviewed and recommended by Peer Community in Microbiology. https://doi.org/10.1101/2023.01.13.523754

Tedersoo, L., Bahram, M., Zinger, L., Nilsson, R. H., Kennedy, P. G., Yang, T., ... & Mikryukov, V. (2022). Best practices in metabarcoding of fungi: From experimental design to results. Molecular ecology, 31(10), 2769-2795. https://doi.org/10.1111/mec.16460

Mycoplasma mycoides subsp. mycoides (Mmm), a pathogenic wall-less bacterium, is the etiological agent of contagious bovine pleuropneumonia (CBPP). This highly contagious respiratory disease may develop in severe pneumonia, with associated high mortality rates in cattle. Mmm can display different immune evasion mechanisms; in addition, a host uncontrolled inflammatory response stands for lung lesions and chronic carrier animals.

Macrophages are among the most important lines of defense against Mmm of the lower respiratory tract. Although their importance in defense and immune response modulation is known, results about their role and mechanisms of action are scarce and sometimes conflicting.

In the present study, Totté et al. (1) aimed to investigate the interaction of bovine macrophages (isolated from cattle peripheral blood mononuclear cells) with Mmm, under in vitro conditions. The authors highlight that the study was performed under physiological conditions (in the presence of complement prepared from the same cell donor).

In their study, using different approaches, the authors provide interesting and original results, proposing a pivotal role of complement in controlling the inflammatory response, which is crucial in the CBPP pathogenesis. 

The authors reported that macrophages did not kill Mmm in the presence of a non-bactericidal concentration of bovine serum. However, Mmm inactivation was observed when antiserum from CBPP convalescent animals was used. They also observed that Mmm induced the production of TNF by macrophages (when a high MOI was assessed). However, complement could even abolish Mmm-induced TNF response when used at bactericidal activity concentrations. This role of complement could be combined with the development of potentially protective antibodies against particular Mmm antigens involved in the interaction with identified macrophage receptors to propose control strategies against CBPP. 

Overall, the study by Totté et al. provides new fundamental insight for the research on preventive or therapeutic strategies for a poorly understood disease that still represents a serious concern for livestock production. 

REFERENCES

1. Totté, P., Bonnefois, T., Manso-Silván, L. Interactions between Mycoplasma mycoides subsp. mycoides and bovine macrophages under physiological conditions. bioRxiv 2022.12.06.519279, ver. 2 peer-reviewed and recommended by Peer Community In Microbiology. https://doi.org/10.1101/2022.12.06.519279

Engineering plant microbiota can improve plant health and growth sustainably. Emergent approaches include rational Synthetic Communities (SynCom) design or soil amendments and specific agricultural practices to shift resident microbiota and to understand its impact (Moreira et al. 2023). 

In this context, the impact of seed microbiota on the early stages of plant development is becoming an essential topic in the study of plant–microbiota interactions. Behind the well-studied seed-borne pathogens, the seed microbiota can host many other commensal and beneficial organisms that have been neglected in the past. 

The study of Simonin et al. (2023) applies single isolates and synthetic communities (SynCom)  on radish seeds to answer two key questions: what is the role of seed microbiota during the early stages of plant development? How can SynCom influence the seedling health and its microbiota? The study describes an elegant approach to cope with the variability of natural microbiota using SynCom following a gradient of complexity. 

Overall, the study highlighted a contrasted impact of the bacterial strains when applied in isolation or SynCom. The composition and complexity of the SynCom had also an impact on plant seedlings. Importantly, contrasting evolution from seeds to seedlings was observed for 3 strains of Pseudomonas fluorescens within the SynComs, underlining the importance of intra-species level diversity and precluding any generalization of results at species level.  

References 

Moreira, Z. P. M., Chen, M. Y., Ortuno, D. L. Y., & Haney, C. H. (2023). Engineering plant microbiomes by integrating eco-evolutionary principles into current strategies. Current Opinion in Plant Biology, 71, 102316. https://doi.org/10.1016/j.pbi.2022.102316

Simonin, M., Préveaux, A., Marais, C., Garin, T., Arnault, G., Sarniguet, A., & Barret, M. (2023). Transmission of synthetic seed bacterial communities to radish seedlings: impact on microbiota assembly and plant phenotype. bioRxiv, 2023-02. ver. 3 peer-reviewed and recommended by Peer Community in Microbiology. https://doi.org/10.1101/2023.02.14.527860

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

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