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Applying MALDI-TOF MS to resolve morphologic and genetic similarities between two Dermacentor tick species of public health importance

  • US Tick MALDI-TOF consortium
  • Centers for Disease Control and Prevention
  • Delaware Mosquito Control Section
  • The Connecticut Agricultural Experiment Station
  • Ohio State University
  • University of California, Davis
  • Mississippi State University
  • Rutgers, The State University of New Jersey
  • California Department of Health Services
  • Washington State Department of Health
  • University of South Carolina
  • University of Nebraska–Lincoln
  • University of California at Santa Barbara
  • Franklin County Public Health
  • Suffolk County Department of Health Services
  • Emory University

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Hard ticks (Acari: Ixodidae) have been historically identified by morphological methods which require highly specialized expertise and more recently by DNA-based molecular assays that involve high costs. Although both approaches provide complementary data for tick identification, each method has limitations which restrict their use on large-scale settings such as regional or national tick surveillance programs. To overcome those obstacles, the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been introduced as a cost-efficient method for the identification of various organisms, as it balances performance, speed, and high data output. Here we describe the use of this technology to validate the distinction of two closely related Dermacentor tick species based on the development of the first nationwide MALDI-TOF MS reference database described to date. The dataset obtained from this protein-based approach confirms that tick specimens collected from United States regions west of the Rocky Mountains and identified previously as Dermacentor variabilis are the recently described species, Dermacentor similis. Therefore, we propose that this integrative taxonomic tool can facilitate vector and vector-borne pathogen surveillance programs in the United States and elsewhere.

Original languageEnglish
Article number19834
JournalScientific Reports
Volume14
Issue number1
DOIs
StatePublished - Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Scopus Subject Areas

  • General

Keywords

  • Dermacentor
  • MALDI-TOF
  • Public health
  • Reference database
  • Tick

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