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BatFly: A database of Neotropical bat-fly interactions.

Natalya Zapata-Mesa1,2, Sebastián Montoya-Bustamante1,2, Juliana Hoyos3

  • 1Programa de Pós-graduação em Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.

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Summary
This summary is machine-generated.

This study compiles extensive bat-fly interaction data from the Neotropics, revealing key host-parasite relationships. The BatFly dataset will advance research on disease ecology and the impacts of global change on biodiversity.

Keywords:
ChiropteraNycteribiidaeStreblidaeantagonismbat fliesbatsdiseasesectoparasiteshematophagyspecializationspecies interactionszoonosis

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Area of Science:

  • Ecology
  • Parasitology
  • Biodiversity Science

Background:

  • Global changes increase emerging infectious disease risk, necessitating study of host-parasite interactions.
  • Bats and their ectoparasitic flies (Streblidae, Nycteribiidae) are key models, but data are fragmented.
  • Existing knowledge is limited to local-scale records, hindering broader ecological understanding.

Purpose of the Study:

  • To create a comprehensive dataset of bat-fly interactions in the Neotropics.
  • To facilitate research on ecological specialization, pathogen transmission, and disease drivers.
  • To support studies on climate and land-use change impacts on host-parasite dynamics.

Main Methods:

  • Compiled data from 174 studies (1904-2022) and three original datasets.
  • Collected 3984 interaction records across 650 Neotropical sites.
  • Extracted, filtered, harmonized data, linking interactions with geographic and population information.

Main Results:

  • The dataset includes 3984 records between 237 bat and 255 fly species.
  • Key species identified: Carollia perspicillata (bat), Trichobius joblingi (fly).
  • Data are available in a tidy format for ecological analysis.

Conclusions:

  • The BatFly dataset provides a foundation for large-scale ecological research.
  • It enables investigation into factors driving parasite prevalence and specialization.
  • Facilitates research on disease ecology and Sustainable Development Goal 3 (Good Health and Wellbeing).