Metagenomic surveillance of tick-borne pathogens and microbiomes in Huntingdon County, Pennsylvania

The rise in tick populations across the United States has contributed to a surge in tick-borne diseases, with Pennsylvania ranking among the highest in reported cases. To better understand local pathogen prevalence and microbial community structure, an integrative study of ticks collected from ten recreational trails in Huntingdon County, Pennsylvania during the summer of 2023 was conducted. A total of 96 ticks were sampled, with 33 PCR-positive specimens selected for shotgun metagenomic sequencing. Pathogen screening via qPCR detected <i>Borreliella burgdorferi</i>, <i>Borrelia miyamotoi</i>, <i>Babesia</i> spp., and <i>Anaplasma phagocytophilum</i>. Shotgun metagenomics revealed a broader diversity of tick-borne pathogens, including <i>Rickettsia</i> and <i>Ehrlichia</i> spp., and demonstrated increased sensitivity by detecting low-abundance pathogens in samples that were PCR-negative. Co-infections were common, and multivariate statistical analysis identified significant associations between environmental variables (e.g., humidity, time of day, land cover) and microbial diversity and predicted gene function. Notably, diversity was higher in ticks collected during early afternoon and from northern sites. Co-occurrence network analysis showed <i>Rickettsia</i> as a central taxon with multiple significant positive associations with other microbes while other pathogens were largely absent or peripheral. These findings underscore the enhanced resolution of metagenomic approaches for pathogen detection and the value of combining molecular surveillance with ecological metadata. Our study provides critical insights into local tick microbiomes and pathogen prevalence, which may inform public health interventions and vector management strategies in central Pennsylvania.

Authors

Institutions

Publication Details

Journal
One Health
Published
2025-12-19
DOI
https://doi.org/10.1016/j.onehlt.2025.101305
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metagenomic surveillance of tick-borne pathogens and microbiomes in Huntingdon County, Pennsylvania

John Keeney, Brittney N. McMullen, Regina Lamendella, Jeremy R. Chen See et al.
One Health
Vector-borne infectious diseases
article

Metagenomic surveillance of tick-borne pathogens and microbiomes in Huntingdon County, Pennsylvania

John Keeney, Brittney N. McMullen, Regina Lamendella, Jeremy R. Chen See, Sarah Worley, Evan Thomas, Justin Wright, K. N. Drummond, Sarah Halteman, Andrew Buonaccorsi, Alexa Viands, Brie Builder
article en

Abstract

The rise in tick populations across the United States has contributed to a surge in tick-borne diseases, with Pennsylvania ranking among the highest in reported cases. To better understand local pathogen prevalence and microbial community structure, an integrative study of ticks collected from ten recreational trails in Huntingdon County, Pennsylvania during the summer of 2023 was conducted. A total of 96 ticks were sampled, with 33 PCR-positive specimens selected for shotgun metagenomic sequencing. Pathogen screening via qPCR detected <i>Borreliella burgdorferi</i>, <i>Borrelia miyamotoi</i>, <i>Babesia</i> spp., and <i>Anaplasma phagocytophilum</i>. Shotgun metagenomics revealed a broader diversity of tick-borne pathogens, including <i>Rickettsia</i> and <i>Ehrlichia</i> spp., and demonstrated increased sensitivity by detecting low-abundance pathogens in samples that were PCR-negative. Co-infections were common, and multivariate statistical analysis identified significant associations between environmental variables (e.g., humidity, time of day, land cover) and microbial diversity and predicted gene function. Notably, diversity was higher in ticks collected during early afternoon and from northern sites. Co-occurrence network analysis showed <i>Rickettsia</i> as a central taxon with multiple significant positive associations with other microbes while other pathogens were largely absent or peripheral. These findings underscore the enhanced resolution of metagenomic approaches for pathogen detection and the value of combining molecular surveillance with ecological metadata. Our study provides critical insights into local tick microbiomes and pathogen prevalence, which may inform public health interventions and vector management strategies in central Pennsylvania.

One HealthVol. 22
Primary Source (US), Juniata College (US)
Openalex Percentile: Top 56%
Vector-borne infectious diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.