Biology subjects

Forbes, A.

Publications and source records attributed to Forbes, A..

3 recordsLinked to original sources

bioRxiv2025

Characterising anthelmintic resistance against benzimidazoles and macrocyclic lactones in gastrointestinal nematode populations of dairy cattle

Anthelmintic resistance in gastrointestinal nematode populations is endemic across all grazing livestock production systems, particularly in small ruminants, but also in cattle. In this study resistance in Cooperia oncophora and Ostertagia ostertagi to macrocyclic lactones and benzimidazoles (BZ) in Scotland was assessed. The faecal egg count reduction test (FECRT) remains the primary tool for assessing anthelmintic resistance in the field; however, differing methodologies and recent guideline updates complicate the interpretation of results across studies. Statistical approaches, such as Bayesian methods used by eggCounts and bayescount, produce varying confidence intervals, which further influence conclusions. The ability of the egg hatch test to detect anthelmintic resistance was evaluated under field conditions, and the EC50 values obtained enabled assessment of the BZ efficacy at both the farm and GIN species levels, without the need for treatment. Mixed amplicon sequencing was applied, and nemabiome analysis confirmed that C. oncophora and Os. ostertagi were the predominant species. Sequencing of the beta-tubulin isotype-1 gene in strongyle communities identified resistance alleles in multiple species. The high EC values and elevated frequencies of BZ-resistance alleles on some farms emphasise the importance of in vitro assays and molecular diagnostics for farm-level resistance management. The detection of resistance against both benzimidazoles and macrocyclic lactones on certain farms highlights the urgency of implementing sustainable control strategies. Although the data presented here are from Scotland, given the high rate of animal movement and similar patterns of anthelmintic usage in the UK, these findings are likely to be relevant across much of the UK. Highlights- Resistance to MLs and BZs was detected in GIN populations of cattle - Multidrug resistance found in Scottish GIN populations of cattle - Egg hatch test results suggest, and sequencing confirms high BZ-resistance allele frequencies

microbiology↗

bioRxiv2025

The influence of larval retention on coral recruitment

Marine broadcast spawners typically exhibit bipartite life-histories with distinct pelagic larvae and benthic phases. The transition between phases shapes benthic populations, but the rate of larval arrival to a reef is largely unknown due to challenges in accurately measuring supply. Once larvae arrive to a reef, reduced current flow and velocity, facilitate the transition from the water column to the benthos for inefficient swimming larvae. Yet, for coral reefs characterised by complex hydrodynamics and tides, slack current conditions typically last 1.5-3 hours and it remains unclear if such short retention periods drive significant recruitment. This study mechanistically examined the effects of water retention on the settlement of coral larvae from the water column to the benthos and subsequent longer-term recruitment over 15-months. Brief periods of slack currents (<3-hours) retained larvae in unconstrained larval supply treatments, resulting in settlement rates 40-times higher than natural, background rates. Constrained and longer retention of larvae under nets for 2.5- and 24-hours resulted in 4-7-times higher initial settlement than the unconstrained treatment and 305-times higher than background rates. However, after 15-months, similar numbers of surviving recruits were observed across all larval supply treatments, highlighting the effects of density-dependent population regulation. Observations from recruitment tiles show survival rates of coral recruits after 15-months were low (<0.25), even though gregarious settlement behaviour and settlement close to tile edges improved survival. In contrast, observations from the natural substrate show survival rates were 2.5-3.5-times higher than tiles after 15-months, indicating density-independent survival due to optimal niche space and less space limitation. Therefore, when larval supply is high and gregarious behaviour prominent, key vital rates including recruitment and mortality derived from settlement tiles are likely overestimated, as substrate and microhabitat properties between tiles and natural reef environment vary. Overall, our study highlights the prominent role of slack current conditions and local retention of larvae in facilitating the supply-to-settlement transition, and how this interacts with density-dependent processes post-settlement. Our findings underscore the need to investigate how the interaction strengths of pre-and post-settlement processes modulate early coral recovery to best model recovery trajectories for conservation and restoration prioritisation.

ecology↗

bioRxiv2022

Highly perturbed genes and hub genes associated with type 2 diabetes in different tissues of adult humans: A bioinformatics analytic workflow

IntroductionType 2 diabetes (T2D) has a complex etiology which is not fully elucidated. Identification of gene perturbations and hub genes of T2D may assist in personalizing care. ObjectivesWe aimed to identify highly perturbed genes and hub genes associated with T2D in different tissues of adult humans via an extensive workflow. MethodsWorkflow comprised five sequential steps: systematic review of NCBI GEO database; identification and classification of differentially expressed genes (DEG); identification of highly perturbed genes via meta-analysis; identification of hub genes via network analysis; downstream analyses. Three meta-analytic strategies: random effects model (REM); vote counting approach (VC); p-value combining approach (CA), were applied. Nodes having above average betweenness, closeness, and degree in the network were defined as hub genes. Downstream analyses included gene ontologies, Kyoto Encyclopedia of Genes and Genomes pathways, metabolomics, COVID-19 related genes, and Genotype-Tissue Expression profiles. ResultsAnalysis of 27 eligible microarrays identified 6284 DEG (4592 down-regulated and 1692 up-regulated) within four tissue types. Tissue-specific gene expression was significantly greater than tissue non-specific (shared) gene expression. Meta-analysis of DEG identified 49, 27, and 8 highly perturbed genes via REM, VC, and CA, respectively, producing a compiled set of 79 highly perturbed (41 down-regulated and 38 up-regulated) genes. The 28 hub genes comprised 13 up-regulated, 9 down-regulated, and 6 predicted genes. Downstream analyses identified enrichments of: shared genes with other diabetes phenotypes; insulin synthesis and action related pathways and metabolomics; mechanistic associations with apoptosis and immunity-related pathways, COVID-19 related gene sets; and cell types demonstrating over- and under-expression of marker genes of T2D. ConclusionsWe identified highly perturbed genes and hub genes of T2D and revealed their associations with other diabetes phenotypes and COVID-19 as well as pathophysiological manifestations such as those related to insulin, immunity, and apoptosis. Broader utility of the proposed pipeline is envisaged.

bioinformatics↗