RT Journal Article
T1 Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset
A1 Cruz, Gabriella L. T.
A1 Winck, Gisele Regina
A1 D’Andrea, Paulo S.
A1 Krempser, Eduardo
A1 Vidal, Mariana M.
A1 Siliansky De Andreazzi, Cecilia
AB Incomplete information on parasites, their associated hosts, and their precise geographical location hampers the ability to predict disease emergence in Brazil, a continental-sized country characterised by significant regional disparities. Here, we demonstrate how the NCBI Nucleotide and GBIF databases can be used as complementary databases to study spatially georeferenced parasite-host associations. We also provide a comprehensive dataset of parasites associated with mammal species that occur in Brazil, the Brazilian Mammal Parasite Occurrence Data (BMPO). This dataset integrates wild mammal species’ morphological and life-history traits, zoonotic parasite status, and zoonotic microparasite transmission modes. Through meta-networks, comprising interconnected host species linked by shared zoonotic microparasites, we elucidate patterns of zoonotic microparasite dissemination. This approach contributes to wild animal and zoonoses surveillance, identifying and targeting host species accountable for disproportionate levels of parasite sharing within distinct biomes. Moreover, our novel dataset contributes to the refinement of models concerning disease emergence and parasite distribution among host species.
PB Springer Nature
SN 2052-4463
YR 2023
FD 2023-11-02
LK https://hdl.handle.net/20.500.14352/120756
UL https://hdl.handle.net/20.500.14352/120756
LA eng
NO Cruz, G.L.T., Winck, G.R., D’Andrea, P.S. et al. Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset. Sci Data 10, 757 (2023). https://doi.org/10.1038/s41597-023-02636-8
NO This study was funded by current Serrapilheira Institute grant (to G.L.T.C; Cost Center 13754, project 5179); Brazilian Research Council postdoctoral fellowship [CNPq/MCTIC–Síntese em Biodiversidade e Serviços Ecossistêmicos (SinBiose)] 152411/2020-8, 151224/2021-8, 165330/2021-0 (to G.R.W.); and current Serrapilheira Institute postdoctoral fellowship (to G.R.W.; Cost Center 13754, project 5179); Brazilian Research Council grant [CNPq/MCTIC–Síntese em Biodiversidade e Serviços Ecossistêmicos (SinBiose)] 442410/2019-0 (to P.S.D and C.S.A.); Brazilian Research Council grant (CNPq/MCTIC–Research Productivity Universal) 313211/2018-3 (to P.S.D.); Brazilian Research Council grant (CNPq/MCTIC–Universal) 439208/2018-1 (to P.S.D.); Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro grant (FAPERJ–APQ1) E-26/201.467/2019 (to P.S.D.); Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro grant (FAPERJ–COLBIO) E-26/201.309/2021 (to P.S.D.); Serrapilheira Institute postdoctoral fellowship (to M.M.V.; Cost Center 13754, project 5179); Brazilian Research Council grant (CNPq/MCTIC–Universal) 430408/2018-8 (to C.S.A.); and Serrapilheira Institute grant 1912-32354 (to C.S.A.). We are grateful to the Centre for Synthesis in Biodiversity and Ecosystem Services (SinBiose), funded by the Brazilian Research Council, for providing the opportunity for the development of this work.
NO Instituto Serrapilheira
NO Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brazil)
NO Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brazil)
NO Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
NO Synthesis Centre on Biodiversity and Ecosystem Services (Brazil)
DS Docta Complutense
RD 8 jul 2025