| Literature DB >> 32878950 |
Luke Kingry1, Sarah Sheldon2, Stephanie Oatman2, Bobbi Pritt3, Melissa Anacker4, Jenna Bjork4, David Neitzel4, Anna Strain4, Jon Berry3, Lynne Sloan3, Laurel Respicio-Kingry2, Elizabeth Dietrich2, Karen Bloch5, Abelardo Moncayo6, Ganesh Srinivasamoorthy7, Bin Hu7, Alison Hinckley2, Paul Mead2, Kiersten Kugeler2, Jeannine Petersen2.
Abstract
Tick-borne diseases, due to a diversity of bacterial pathogens, represent a significant and increasing public health threat throughout the Northern Hemisphere. A high-throughput 16S V1-V2 rRNA gene-based metagenomics assay was developed and evaluated using >13,000 residual samples from patients suspected of having tick-borne illness and >1,000 controls. Taxonomic predictions for tick-borne bacteria were exceptionally accurate, as independently validated by secondary testing. Overall, 881 specimens were positive for bacterial tick-borne agents. Twelve tick-borne bacterial species were detected, including two novel pathogens, representing a 100% increase in the number of tick-borne bacteria identified compared to what was possible by initial PCR testing. In three blood specimens, two tick-borne bacteria were simultaneously detected. Seven bacteria, not known to be tick transmitted, were also confirmed to be unique to samples from persons suspected of having tick-borne illness. These results indicate that 16S V1-V2 metagenomics can greatly simplify diagnosis and accelerate the discovery of bacterial tick-borne pathogens.Entities:
Keywords: Lyme disease; anaplasmosis; human granulocytic ehrlichiosis; metagenomics; tick-borne bacteria; vector-borne diseases
Year: 2020 PMID: 32878950 PMCID: PMC7587092 DOI: 10.1128/JCM.00147-20
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948