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Type: Proceedings Papers
Published: 2022-11-30
Page range: 48
Abstract views: 134
PDF downloaded: 8

A probabilistic model predicting host specificity and host range expansion in mites parasitic on mammals

Department of Biological Sciences, Purdue University, 915 W State St., #G-225, West Lafayette, Indiana, 47907 USA
Universidade Estadual Paulista, Rio Claro, São Paulo, Brazil
Department of Biological Sciences, Purdue University, 915 W State St., #G-225, West Lafayette, Indiana, 47907 USA
Host switch permanent parasites full-time parasites Acariformes host-related factors parasite-related factors environmental factors

Abstract

The emergence of new mammalian diseases through the switching of parasitic organisms to novel hosts has significant wildlife, livestock, and human health impacts, however, new host switches are notoriously difficult to predict. The factors influencing the host switches are not fully understood because complete unbiased large-scale datasets of host-parasite relationships are lacking. Building a large-scale model to identify these factors and predict potential host switching (host range expansion) could hold substantial benefits from theoretical and applied perspectives (e.g., disease emergence prediction). Here we analyzed a large, curated database of host-parasite relationships of 1906 species of acariform mites forming permanent associations with 1235 species of mammals, including humans, and built a probabilistic predictive model of host-specificity for these mites. There was a total of 3,125 unique host-parasite records.

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