Published November 28, 2018 | Version v1
Dataset Open

Data from: Livestock abundance predicts vampire bat demography, immune profiles, and bacterial infection risk

  • 1. University of Georgia
  • 2. Leibniz Institute for Zoo and Wildlife Research
  • 3. United States Food and Drug Administration
  • 4. Universidad Nacional de Piura
  • 5. Western University
  • 6. American Museum of Natural History
  • 7. National University of San Marcos
  • 8. United States Department of Agriculture

Description

Human activities create novel food resources that can alter wildlife–pathogen interactions. If resources amplify or dampen pathogen transmission likely depends on both host ecology and pathogen biology, but studies that measure responses to provisioning across both scales are rare. We tested these relationships with a four-year study of 369 common vampire bats across ten sites in Peru and Belize that differ in the abundance of livestock, an important anthropogenic food source. We quantified innate and adaptive immunity from bats and assessed infection with two common bacteria. We predicted abundant livestock could reduce starvation and foraging effort, allowing for greater investments in immunity. Bats from high-livestock sites had higher microbicidal activity and proportions of neutrophils but lower immunoglobulin G and proportions of lymphocytes, suggesting more investment in innate relative to adaptive immunity and either greater chronic stress or pathogen exposure. This relationship was most pronounced in reproductive bats, which were also more common in high-livestock sites, suggesting feedbacks between demographic correlates of provisioning and immunity. Infection with both Bartonella and hemoplasmas were correlated with similar immune profiles, and both pathogens tended to be less prevalent in high-livestock sites, although effects were weaker for hemoplasmas. These differing responses to provisioning might therefore reflect distinct transmission processes. Predicting how provisioning alters host–pathogen interactions requires considering how both within-host processes and transmission modes respond to resource shifts.

Notes

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DEB-1601052

Files

becker et al_philtransbdata.csv

Files (55.5 kB)

Name Size Download all
md5:723f1d11b0a3075c52eea5fdcbb8daba
55.5 kB Preview Download

Additional details

Related works

Is cited by
10.1098/rstb.2017.0089 (DOI)