A Role for Early-Phase Transmission in the Enzootic Maintenance of Plague

  • Cedar L. Mitchell
  • , Ashley R. Schwarzer
  • , Adélaïde Miarinjara
  • , Clayton O. Jarrett
  • , Angela D. Luis
  • , B. Joseph Hinnebusch

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Yersinia pestis, the bacterial agent of plague, is enzootic in many parts of the world within wild rodent populations and is transmitted by different flea vectors. The ecology of plague is complex, with rodent hosts exhibiting varying susceptibilities to overt disease and their fleas exhibiting varying levels of vector competence. A long-standing question in plague ecology concerns the conditions that lead to occasional epizootics among susceptible rodents. Many factors are involved, but a major one is the transmission efficiency of the flea vector. In this study, using Oropsylla montana (a ground squirrel flea that is a major plague vector in the western United States), we comparatively quantified the efficiency of the two basic modes of flea-borne transmission. Transmission efficiency by the early-phase mechanism was strongly affected by the host blood source. Subsequent biofilm-dependent transmission by blocked fleas was less influenced by host blood and was more efficient. Mathematical modeling predicted that early-phase transmission could drive an epizootic only among highly susceptible rodents with certain blood characteristics, but that transmission by blocked O. montana could do so in more resistant hosts irrespective of their blood characteristics. The models further suggested that for most wild rodents, exposure to sublethal doses of Y. pestis transmitted during the early phase may restrain rapid epizootic spread by increasing the number of immune, resistant individuals in the population.

Original languageEnglish
Article numbere1010996
JournalPLoS Pathogens
Volume18
Issue number12
DOIs
StatePublished - Dec 2022

Funding

This research was funded by the Intramural Research Program of the NIH (to BJH), NIAID (ZIA AI000796-25) and by the National Science Foundation (2109828 to ADL). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors acknowledge the 2015 Clinic on Dynamical Approaches to Infectious Disease Data (DAIDD) instructors and participants, which is part of the International Clinics on Infectious Disease Dynamics and Data (ICI3D) Program, for their instructional support in developing the mathematical model. DAIDD 2015 was supported by the NIH National Institute for General Medical Sciences (R25GM102149) and by the South African DST-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA).

Funder number
2109828
R25GM102149
ZIA AI000796-25

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