TY - JOUR
T1 - Targeted metagenomics for clinical detection and discovery of bacterial tick-borne pathogens
AU - Kingry, Luke
AU - Sheldon, Sarah
AU - Oatman, Stephanie
AU - Pritt, Bobbi
AU - Anacker, Melissa
AU - Bjork, Jenna
AU - Neitzel, David
AU - Strain, Anna
AU - Berry, Jon
AU - Sloan, Lynne
AU - Respicio-Kingry, Laurel
AU - Dietrich, Elizabeth
AU - Bloch, Karen
AU - Moncayo, Abelardo
AU - Srinivasamoorthy, Ganesh
AU - Hu, Bin
AU - Hinckley, Alison
AU - Mead, Paul
AU - Kugeler, Kiersten
AU - Petersena, Jeannine
N1 - Funding Information:
This work was supported by the CDC’s Office of Advanced Molecular Detection (project identifier AMD 90) and the CDC’s TickNet Emerging Infections Program. S.O. was supported in part by an appointment to the Research Participation Program at the Centers for Disease Control and Prevention administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and the CDC.
Publisher Copyright:
© 2020 American Society for Microbiology. All Rights Reserved.
PY - 2020/11
Y1 - 2020/11
N2 - 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 tickborne 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.
AB - 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 tickborne 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.
KW - Anaplasmosis
KW - Human granulocytic ehrlichiosis
KW - Lyme disease
KW - Metagenomics
KW - Tick-borne bacteria
KW - Vector-borne diseases
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U2 - 10.1128/JCM.00147-20
DO - 10.1128/JCM.00147-20
M3 - Article
C2 - 32878950
AN - SCOPUS:85094220908
SN - 0095-1137
VL - 58
JO - Journal of Clinical Microbiology
JF - Journal of Clinical Microbiology
IS - 11
M1 - e00147-20
ER -