Show simple item record

dc.contributor.advisorElinor Karlssonen_US
dc.contributor.authorChauhan, Gaurav
dc.date.accessioned2023-10-13T13:08:54Z
dc.date.available2023-10-13T13:08:54Z
dc.date.issued2023-09-25
dc.identifier.doi10.13028/xdhh-ps89en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14038/52625
dc.description.abstractThe prevalence of tickborne diseases worldwide is increasing virtually unchecked due to lack of effective control strategies. The transmission dynamics of tickborne pathogens are influenced by the tick microbiome, tick co-infection with other pathogens. Understanding this complex system could lead to new strategies for pathogen control, but will require large-scale, high-resolution data. Here we present a strategy that combines citizen science with new molecular strategies to provide the single-tick resolution data urgently needed to inform management of tickborne pathogens. Our citizen science-based initiative, Project Acari, harnessed the power of volunteers across the US to collect more than 3,000 ticks. To assay collected ticks, we developed a high-throughput screening method using Molecular Inversion Probes (MIPs) that identify tick species, associated pathogens, and the species on which the tick most recently fed. Applying MIPs to 853 individual ticks successfully identified the species of 715 ticks, of which 85 were infected with pathogens of 12 different species. We also detected host DNA in 60 ticks. We also generated the first comprehensive data on both prokaryotic and eukaryotic microbiome of individual ticks using full-length 16S and 18S sequencing. Our findings corroborate reports of the influence of tick species, sex, and geography on the tick prokaryotic microbiome. We also identify novel associations between the carriage of B. burgdorferi and specific microbial taxa. Our work underscores the power of citizen science, paired with high-throughput processing, to elucidate the ecology of tickborne disease and to guide pathogen-control initiatives.en_US
dc.language.isoen_USen_US
dc.publisherUMass Chan Medical Schoolen_US
dc.rightsCopyright © 2023 Gaurav Chauhanen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectTicksen_US
dc.subjectTickborne diseasesen_US
dc.subjectMicrobiomeen_US
dc.subjectMIPsen_US
dc.subjectCitizen scienceen_US
dc.subjectProject Acarien_US
dc.subject16Sen_US
dc.subject18Sen_US
dc.subjectSurveillanceen_US
dc.titleHigh Throughput Tools for Tickborne Disease Surveillance and Investigation of Tick, Pathogen, and Commensal Microbiome Association at Single-Tick Resolutionen_US
dc.typeDoctoral Dissertationen_US
refterms.dateFOA2023-10-13T13:08:56Z
atmire.contributor.authoremailgaurav.chauhan@umassmed.eduen_US
dc.contributor.departmentProgram in Bioinformatics and Integrative Biologyen_US
dc.description.thesisprogramInterdisciplinary Graduate Programen_US
dc.identifier.orcid0009-0005-9489-8361en_US


Files in this item

Thumbnail
Name:
Gaurav Chauhan dissertation_v2.pdf
Size:
7.892Mb
Format:
PDF
Description:
Dissertation
Thumbnail
Name:
File 2.1 192 Ticks included in ...
Size:
18.73Kb
Format:
Microsoft Excel 2007
Description:
Experiment metadata file
Thumbnail
Name:
File 3.1 MIPs probes.xlsx
Size:
1.237Mb
Format:
Microsoft Excel 2007
Description:
Experiment metadata file
Thumbnail
Name:
File 3.2 Ticks used for MIPs ...
Size:
58.36Kb
Format:
Microsoft Excel 2007
Description:
Experiment metadata file
Thumbnail
Name:
File 3.3 Ticks used in Microbiome ...
Size:
71.93Kb
Format:
Microsoft Excel 2007
Description:
Experiment metadata file
Thumbnail
Name:
File 3.4 p-values kruskal-wallis ...
Size:
32.91Kb
Format:
Microsoft Excel 2007
Description:
Experiment data file
Thumbnail
Name:
File 3.5 p-values kruskal-wallis ...
Size:
19.13Kb
Format:
Microsoft Excel 2007
Description:
Experiment data file

This item appears in the following Collection(s)

Show simple item record

Copyright © 2023 Gaurav Chauhan
Except where otherwise noted, this item's license is described as Copyright © 2023 Gaurav Chauhan