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Individual variation underlies large-scale patterns: Host conditions and behavior affect parasitism.
Allison M Brehm1, Vania R Assis2, Lynn B Martin2
1Department of Integrative Biology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ecology
|December 10, 2024
Summary
Host traits like sex and body mass influence tick parasitism in white-footed mice. Mouse behavior, such as increased movement, also directly impacts tick acquisition, affecting disease risk.
Area of Science:
- Ecology
- Vector-borne disease research
- Zoonotic disease dynamics
Background:
- Understanding host-parasite interactions is crucial for vector-borne disease ecology.
- Individual host characteristics can influence parasitism rates, but links are often hard to identify due to spatial and temporal variations in zoonoses.
- The white-footed mouse (Peromyscus leucopus) is a keystone species for studying these dynamics.
Purpose of the Study:
- To investigate the relationships between individual host condition, behavior, and Ixodid tick parasitism in white-footed mice.
- To determine how host characteristics and behavior affect tick acquisition rates.
- To understand the implications for zoonotic disease risk.
Main Methods:
- Utilized seven years of data from the National Ecological Observatory Network (NEON).
- Examined parasitism by Ixodid ticks in Peromyscus leucopus.
- Analyzed correlations between host condition (sex, body mass, reproductive status) and behavior (movement) with tick load.
Main Results:
- Individual host condition (sex, body mass, reproductive status) directly and indirectly affected tick parasitism.
- The impact of host condition on parasitism differed between larval and nymphal ticks.
- Increased host movement behavior was directly associated with a higher likelihood of carrying ticks.
Conclusions:
- Intraspecific variation in host condition and behavior significantly influences host-parasite encounters.
- Host movement ecology plays a key role in determining tick parasitism rates.
- These findings have implications for predicting zoonotic disease risk, especially under changing environmental conditions affecting host behavior.
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