Biology subjects

Thormar, E. A.

Publications and source records attributed to Thormar, E. A..

3 recordsLinked to original sources

bioRxiv2025

Dietary fibre promotes chronic whipworm infection through direct and time-dependent modulation of innate immunity

Dietary fibre regulates the microbiome and gut health but increases murine whipworm (Trichuris muris) infection through unclear mechanisms. We show that mice fed inulin-supplemented diets exhibit dysregulated innate antimicrobial defences and altered tryptophan metabolism during T. muris infection. Inhibiting tryptophan catabolism or neutralizing IL-27 and IL-18 in inulin-fed mice restored infection resistance. Notably, inulin led to chronic infection even in microbiota-depleted mice. Removing inulin within a critical immune development window rapidly restored anti-helminth immunity, indicating direct, time-dependent modulation of mucosal immune responses. Our findings reveal a previously unrecognized, direct influence of dietary fibre on mucosal immunity to parasitic infection, independent of the microbiome, highlighting the complex interplay between diet timing and host defence.

microbiology↗

bioRxiv2025

Amoebic gill disease (AGD) in Atlantic Salmon investigated through a holo-omic lens

Interactions between host genetics and the resident microbiota are complex. Understanding these interactions offers interesting alternatives for addressing gill health and disease resistance in salmonids. Amoebic gill disease (AGD), caused by Neoparamoeba perurans, remains a threat to Atlantic salmon, particularly in aquaculture settings where prevention and treatment options are scant. Selective breeding or genetic engineering towards increased AGD resilience present viable prevention strategies. While a number of studies have addressed AGD resistance in Atlantic salmon using transcriptomic and quantitative genetic approaches, the role of the Atlantic salmon gill microbiota in influencing AGD resilience and susceptibility needs further investigation. Addressing this, we leveraged a holo-omic approach using 16S rRNA bacterial profiling, and quantitative genetics, by considering the microbiota as an extended resistance trait of the salmon. We investigated the microbiota of AGD challenged Atlantic salmon in terms of two common resistance indicator traits: gill score and amoebic load. Subsequently we performed a GWAS using both the traditional indicator traits and traits of the microbiota. We found that the gill microbiota of the AGD affected salmon in this study was dominated by two bacterial families Simkaniaceae and Arcobacteracea. We found that microbial diversity and the relative abundance of Simkaniaceae, potentially derived from the amoeba, varied moderately with indicator traits. Additionally we identified several genomic regions that showed suggestive association with gill score and traits of the microbiota, and explored potential candidate genes for AGD resistance. Although much is still unclear regarding gill microbiota dynamics in gill disease, this study highlights the potential of addressing AGD through an integrative approach that considers the interplay between host genetics, the microbiota, and their roles in disease resistance.

genomics↗

bioRxiv2023

SAMPLING THE ZEBRAFISH GUT MICROBIOTA - A GENOME RESOLVED METAGENOMIC APPROACH

The zebrafish is a promising model organism in the field of functional microbiota research. However, studies on the functional landscape of the zebrafish gut microbiota through shotgun based metagenomics are scarce. Thus, there is a lack of consensus regarding an appropriate sampling method that accurately represents the zebrafish gut microbiota. To address this, we sought to systematically test and evaluate four different methods of sampling the zebrafish gut microbiota: collection of feces from the tank, the whole gut, intestinal content and the application of ventral pressure to facilitate extrusion of gut material. In addition, we included water samples as an environmental control to address the potential influence of the environmental microbiota on the data interpretation. To compare these sampling methods in a context of microbiota-based studies we employed a combination of genome resolved metagenomics and 16S metabarcoding techniques. We observed differences among sample types on all levels including sampling, bioinformatic processing, metagenome co-assemblies, generation of metagenome-assembled genomes (MAGs), functional potential, MAG coverage and micro-diversity. Furthermore, our comparison to the environmental control demonstrated the potential impact of the environmental contamination on data interpretation. The findings emphasise the importance of considering the choice of sampling method. While all sample types tested are informative about the zebrafish gut microbiota, the optimal sample type depends on the specific objectives of the study.

microbiology↗