Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37738
Title: Explosive networking: the role of adaptive host radiations and ecological opportunity in a species-rich host-parasite assembly
Authors: CRUZ LAUFER, Armando 
ARTOIS, Tom 
Koblmüller, Stephan
Pariselle, Antoine
SMEETS, Karen 
VAN STEENBERGE, Maarten 
VANHOVE, Maarten 
Issue Date: 2022
Publisher: 
Source: ECOLOGY LETTERS,
Status: Early view
Abstract: Many species-rich ecological communities emerge from adaptive radiation events. The effects of this explosive speciation on community assembly remain poorly understood. Here, we explore the well-documented radiations of African cichlid fishes and their interactions with the flatworm gill parasites Cichlidogyrus spp., including 10529 reported infections and 477 different host-parasite combinations collected through a survey of peer-reviewed literature. We assess how evolutionary, ecological, and morphological parameters determine host-parasite meta-communities affected by adaptive radiation events through network metrics, host repertoire measures, and network link prediction. The hosts’ evolutionary history mostly determined host repertoires of the parasites. Ecological and evolutionary parameters determined host-parasite interactions. Generally, ecological opportunity and fitting have shaped cichlid-Cichlidogyrus meta-communities suggesting an invasive potential for hosts used in aquaculture. Meta-communities affected by adaptive radiations are increasingly specialised with higher environmental stability. These trends should be verified across other systems to infer generalities in the evolution of species-rich host-parasite networks.
Keywords: Cichlidae;Cichlidogyrus;ectoparasites;flatworms;host repertoire;Lake Tanganyika;Lake Victoria;monogenea;network link prediction;species interactions
Document URI: http://hdl.handle.net/1942/37738
ISSN: 1461-023X
e-ISSN: 1461-0248
DOI: 10.1111/ele.14059
ISI #: WOS:000813770700001
Datasets of the publication: 10.5281/zenodo.6587661
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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