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Coghill, L.

Publications and source records attributed to Coghill, L..

2 recordsLinked to original sources

Comparative Analysis of Tick Microbiomes in Remnant and Reconstructed Prairie Ecosystems

The ecological processes that shape tick-associated microbial communities are not fully understood. Ticks harbor diverse microbial communities that include both symbiotic and pathogenic bacteria, and these microbes can influence tick physiology, vector competence, and pathogen transmission. We evaluated bacterial microbiome diversity and composition in two medically important tick species, Amblyomma americanum and Dermacentor variabilis, collected from remnant and reconstructed tallgrass prairies in central Missouri between 2020 and 2023. Using 16S rRNA gene amplicon sequencing, we characterized microbial communities from 200 pooled tick samples and assessed patterns in alpha diversity, beta diversity, and differential abundance across tick species and prairie types. Microbiome diversity and composition differed strongly between tick species, with D. variabilis exhibiting higher alpha diversity than A. americanum and clear species-specific clustering in beta diversity analyses. In contrast, differences between remnant and reconstructed prairies were modest. Differential abundance testing revealed Rickettsia to be enriched in A. americanum and Francisella in D. variabilis, consistent across prairie types. Species-level screening further showed that A. americanum primarily harbored low virulent Rickettsia, whereas D. variabilis more frequently carried pathogenic Rickettsia species. Prairie restoration status did not significantly predict Rickettsia type, although a higher proportion of potentially pathogenic lineages was observed in reconstructed sites. These findings indicate that tick species identity is the primary determinant of microbiome structure in prairie ecosystems, with habitat context exerting secondary influences. Our results underscore the importance of incorporating microbiome ecology into medical entomology and suggest that land management practices may subtly shape vector-microbe interactions relevant to disease risk.

ecology↗

A novel dataset of 2,362 equine fecal microbiomes from eight veterinary teaching hospital on three continents reveals dominant effects of geography, breed, and disease

Horses and other equids are reliant on the gut microbiome for health, and studies have reported associations between certain clinical conditions and features of the fecal microbiome. However, research to date on the equine fecal microbiome has often relied on small sample sizes collected from single and relatively localized geographic regions. Previous work largely employs single timepoint analyses, or horses selected based on limited health criteria. To address these issues and expand our understanding of the core microbiome in health, and the changes associated with adverse outcomes, the Equine Gut Group (EGG) has collected and performed 16S rRNA sequencing on 2,362 fecal samples from 1,190 healthy and affected horses. Here we present the EGG database and demonstrate its utility in characterizing the equine microbiome in health and acute gastrointestinal disease. The EGG 16S rRNA database is a valuable resource to study the equine microbiome and its role in equine health.

microbiology↗