Literature DB >> 31846621

Characterising interactions between co-infecting parasites using age-intensity profiles.

Andrew W Park1, Vanessa O Ezenwa2.   

Abstract

Interactions between co-infecting parasite species can impact transmission. Whether co-infection is beneficial or detrimental to a target parasite, and whether the mechanism involves changes in host susceptibility or parasite clearance, can be difficult to assess. We demonstrate the potential for host age-parasite intensity curves to allow assessment of these factors. A model is developed to generate predictions and test these predictions using helminth parasites of white-tailed deer (Odocoileus virginianus). We identify three beneficial interactions involving five helminth species, including susceptibility and clearance-based mechanisms. Our results suggest that analysis of age-intensity data represents a new tool for assessing the nature and strength of co-infecting parasite interactions.
Copyright © 2019 Australian Society for Parasitology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clearance; Co-infection; Interaction; Model; Peak-shift; Susceptibility

Mesh:

Year:  2019        PMID: 31846621      PMCID: PMC7101524          DOI: 10.1016/j.ijpara.2019.11.001

Source DB:  PubMed          Journal:  Int J Parasitol        ISSN: 0020-7519            Impact factor:   3.981


  19 in total

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4.  Evaluation of a prototype Ehrlichia chaffeensis surveillance system using white-tailed deer (Odocoileus virginianus) as natural sentinels.

Authors:  Michael J Yabsley; Vivien G Dugan; David E Stallknecht; Susan E Little; J Mitchell Lockhart; Jacqueline E Dawson; William R Davidson
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5.  Parasitism among white-tailed deer and domestic sheep on common range.

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Journal:  J Wildl Dis       Date:  1976-07       Impact factor: 1.535

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Authors:  Sarah A Budischak; Aprilianto E Wiria; Firdaus Hamid; Linda J Wammes; Maria M M Kaisar; Lisette van Lieshout; Erliyani Sartono; Taniawati Supali; Maria Yazdanbakhsh; Andrea L Graham
Journal:  Ecol Lett       Date:  2018-02-08       Impact factor: 9.492

7.  The reliability of observational approaches for detecting interspecific parasite interactions: comparison with experimental results.

Authors:  Andy Fenton; Sarah C L Knowles; Owen L Petchey; Amy B Pedersen
Journal:  Int J Parasitol       Date:  2014-04-03       Impact factor: 3.981

8.  Parasite co-infection and interaction as drivers of host heterogeneity.

Authors:  I M Cattadori; B Boag; P J Hudson
Journal:  Int J Parasitol       Date:  2007-09-12       Impact factor: 3.981

9.  Analysis of a summary network of co-infection in humans reveals that parasites interact most via shared resources.

Authors:  Emily C Griffiths; Amy B Pedersen; Andy Fenton; Owen L Petchey
Journal:  Proc Biol Sci       Date:  2014-03-11       Impact factor: 5.349

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