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Lonergan, C.

Publications and source records attributed to Lonergan, C..

2 recordsLinked to original sources

Conserved core RNAi machinery in trematode-vectoring snails indicates gene silencing potential in the absence of classical systemic and amplification effectors

RNA interference (RNAi) is a widely exploited reverse-genetics tool with potential uses for disease control. Successful RNAi has been reported in trematode-vectoring snails, but the composition of RNAi effector-encoding gene complements, a key driver for RNAi efficiency, remain unstudied in these species. Using bioinformatics and comparative genomics, we searched for orthologues of 115 RNAi effector sequences in genomes or transcriptomes of four snail vectors: Biomphalaria glabrata, B. pfeifferi, Bulinus truncatus, and Lymnaea staginalis. Gene expression patterns of selected RNAi effectors were then examined across developmental stages and tissues of the model B. glabrata snail. At least 74 RNAi-related proteins were conserved across all four species, including core components known to be essential for gene silencing. Classical systemic RNAi-deficient (SID) genes that facilitate systemic RNAi in other systems were absent, suggesting that alternative pathways may compensate for dsRNA uptake and transport. Core effectors of secondary RNAi amplification and heritable RNAi were not detected. Expressions of Dicer-1, Argonaute-2, and the exonuclease Eri-1 did not vary significantly with snail size. A putative RNAi-inhibiting Staufen orthologue showed elevated expression in the ovotestis, while another putative cholesterol-interacting gene was overexpressed in the trunk tissue and may partly contribute to RNAi import. Altogether, our results present the most comprehensive overview of RNAi pathway effectors in major intermediate snail hosts for trematodes. The findings underscore the likely broad potential for RNAi use in trematode intermediate hosts as an experimental tool and potential control method.

evolutionary biology↗

Dietary variations drive divergent phenotypic, transcriptomic, and metatranscriptomic profiles in Biomphalaria glabrata, a schistosomiasis vector snail

BackgroundThe freshwater snail Biomphalaria glabrata is an important natural vector for the human parasitic trematode Schistosoma mansoni, which causes schistosomiasis. In the laboratory, B. glabrata are routinely maintained on simple lettuce diets. We aimed to explore and compare the impact of alternative diets on snail performance, global gene expression, and microbiome. MethodsSnails were raised in groups on fresh lettuce (FL), fish food (FF) and artificial snail gel (SG) diet for eight weeks, while measuring dietary impacts on growth, survival, and fecundity. RNA sequencing (RNA-Seq) was performed to correlate dietary phenotypes with changes in the snail transcriptome and associated microbial metatranscriptome. ResultsRelative to FL, FF and SG diets markedly enhanced growth, survival, and fecundity, with FF generating the highest fecundity rate. RNA-Seq identified 21,887 nutritionally modulated genes in the snail transcriptome. Fish food (FF) and SG diets drove upregulation of genes associated with antimicrobial immunity, growth, and reproduction, while elevated expression of genes linked to xenobiotic metabolism and oxidative stress was observed in FL-fed snails. Metatranscriptomic analysis identified 104 microbial classes, with a total of twenty-three classes significantly enriched in FF and SG snails, including short-chain fatty acid-producing and nutrient-cycling bacteria. Significant correlation (r = 0.63, p = 0.001) linked differentially expressed genes with enriched microbial taxa, highlighting the impact of diet on key snail health and performance metrics. ConclusionsThis work is the first nutritranscriptomic analysis of laboratory-bred B. glabrata. We describe key insights into the diet-phenotype-transcriptome-microbiome axis, which will inform dietary precision and optimisation for laboratory culture of B. glabrata. These data also highlight fundamental aspects of snail biology which could be exploited for molecular snail control approaches.

genomics↗