Optimization of artificial membrane feeding system for lone star ticks, Amblyomma americanum (Acari: Ixodidae), and experimental infection with Rickettsia amblyommatis (Rickettsiales: Rickettsiaceae).

Rickettsia artificial feeding membrane ticks

Journal

Journal of medical entomology
ISSN: 1938-2928
Titre abrégé: J Med Entomol
Pays: England
ID NLM: 0375400

Informations de publication

Date de publication:
16 Dec 2023
Historique:
received: 30 08 2023
revised: 02 11 2023
accepted: 05 12 2023
medline: 17 12 2023
pubmed: 17 12 2023
entrez: 17 12 2023
Statut: aheadofprint

Résumé

With the introduction of siliconized artificial membranes, various artificial feeding systems (AFS) for hard ticks (Ixodidae) have been developed over the last decades. Most AFS utilize similar core components but employ diverse approaches, materials, and experimental conditions. Published work describes different combinations of the core components without experimental optimizations for the artificial feeding of different tick species. Amblyomma americanum L., (Acari: Ixodidae) (lone star tick) is a known vector and reservoir for diverse tick-borne pathogens, such as Rickettsia amblyommatis and Ehrlichia chaffeensis. Ongoing environmental changes have supported the expansion of A. americanum into new habitats, contributing to increased tick-borne diseases in endemic areas. However, a significant knowledge gap exists in understanding the underlying mechanisms involved in A. americanum interactions with tick-borne pathogens. Here, we performed a systematic analysis and developed an optimized AFS for nymphal lone star ticks. Our results demonstrate that Goldbeater's membranes, rabbit hair, hair extract, and adult lone star ticks significantly improved the attachment rate of nymphal ticks, whereas tick frass and frass extract did not. With the optimized conditions, we achieved an attachment rate of 46 ± 3% and a success rate of 100% (i.e., one or more attached ticks) in each feeding experiment for nymphal lone star ticks. When fed on sheep blood spiked with R. amblyommatis, both nymphal and adult lone star ticks acquired and maintained R. amblyommatis, demonstrating the feasibility of studying A. americanum-pathogen interactions using AFS. Our study can serve as a roadmap to optimize and improve AFS for other medically relevant tick species.

Identifiants

pubmed: 38104248
pii: 7476675
doi: 10.1093/jme/tjad158
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Institute of Allergy and Infectious Diseases
ID : AI152208
Organisme : Stony Brook University

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Ilia Rochlin (I)

Center for Infectious Diseases, Stony Brook University, Stony Brook, NY, USA.
Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA.

Dennis Chu (D)

Center for Infectious Diseases, Stony Brook University, Stony Brook, NY, USA.
Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA.

Matthew Gmelin (M)

Center for Infectious Diseases, Stony Brook University, Stony Brook, NY, USA.
Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA.

Justin Le (J)

Center for Infectious Diseases, Stony Brook University, Stony Brook, NY, USA.
Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA.

Martha B Furie (MB)

Center for Infectious Diseases, Stony Brook University, Stony Brook, NY, USA.
Department of Pathology, Stony Brook University, Stony Brook, NY, USA.

David G Thanassi (DG)

Center for Infectious Diseases, Stony Brook University, Stony Brook, NY, USA.
Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA.

Hwan Keun Kim (HK)

Center for Infectious Diseases, Stony Brook University, Stony Brook, NY, USA.
Department of Microbiology and Immunology, Stony Brook University, Stony Brook, NY, USA.

Classifications MeSH