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BatFly: A database of Neotropical bat-fly interactions.
Zapata-Mesa, Natalya; Montoya-Bustamante, Sebastián; Hoyos, Juliana; Peña, Daniela; Galindo-González, Jorge; Chacón-Pacheco, Julio J; Ballesteros-Correa, Jesús; Pastrana-Montiel, Maria Raquel; Graciolli, Gustavo; Nogueira, Marcelo R; Mello, Marco A R.
Afiliação
  • Zapata-Mesa N; Programa de Pós-graduação em Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
  • Montoya-Bustamante S; Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
  • Hoyos J; Programa de Pós-graduação em Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
  • Peña D; Departamento de Ecologia, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
  • Galindo-González J; Odum School of Ecology, University of Georgia, Athens, Georgia, USA.
  • Chacón-Pacheco JJ; Universidad Veracruzana, Xalapa, Mexico.
  • Ballesteros-Correa J; Instituto de Biotecnología y Ecología Aplicada, Universidad Veracruzana, Xalapa, Mexico.
  • Pastrana-Montiel MR; Departamento de Biología, Grupo Investigación Biodiversidad Unicórdoba, Universidad de Córdoba, Montería, Colombia.
  • Graciolli G; Departamento de Biología, Grupo Investigación Biodiversidad Unicórdoba, Universidad de Córdoba, Montería, Colombia.
  • Nogueira MR; Departamento de Biología, Grupo Investigación Biodiversidad Unicórdoba, Universidad de Córdoba, Montería, Colombia.
  • Mello MAR; Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil.
Ecology ; 105(3): e4249, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38281377
ABSTRACT
Global changes have increased the risk of emerging infectious diseases, which can be prevented or mitigated by studying host-parasite interactions, among other measures. Bats and their ectoparasitic flies of the families Streblidae and Nycteribiidae are an excellent study model but, so far, our knowledge has been restricted to fragmented records at a local scale. To help boost research, we assembled a data set of bat-fly interactions from 174 studies published between 1904 and 2022 plus three original data sets. Altogether, these studies were carried out at 650 sites in the Neotropics, mainly distributed in Mexico, Brazil, Argentina, southern USA, and Colombia, among other countries. In total, our data set contains 3984 interaction records between 237 bat species and 255 fly species. The bat species with the largest number of recorded interactions were Carollia perspicillata (357), Artibeus jamaicensis (263), and Artibeus lituratus (228). The fly species with the largest number of recorded interactions were Trichobius joblingi (256), Megistopoda aranea (235), and Megistopoda proxima (215). The interaction data were extracted, filtered, taxonomically harmonized, and made available in a tidy format together with linked data on bat population, fly population, study reference, sampling methods and geographic information from the study sites. This interconnected structure enables the expansion of information for each interaction record, encompassing where and how each interaction occurred, as well as the number of bats and flies involved. We expect BatFly to open new avenues for research focused on different levels of ecological organization and spatial scales. It will help consolidate knowledge about ecological specialization, resource distribution, pathogen transmission, and the drivers of parasite prevalence over a broad spatial range. It may also help to answer key questions such as Are there differences in fly prevalence or mean infestation across Neotropical ecoregions? What ecological drivers explain those differences? How do specialization patterns vary among fly species in the Neotropics? Furthermore, we expect BatFly to inspire research aimed at understanding how climate and land-use changes may impact host-parasite interactions and disease outbreaks. This kind of research may help us reach Sustainable Development Goal 3, Good Health and Wellbeing, outlined by the United Nations. The data are released under a Creative Commons Attribution 4.0 International License.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Parasitos / Quirópteros / Dípteros Tipo de estudo: Risk_factors_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: Ecology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Parasitos / Quirópteros / Dípteros Tipo de estudo: Risk_factors_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: Ecology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos