Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32519
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dc.contributor.authorCRUZ LAUFER, Armando-
dc.contributor.authorARTOIS, Tom-
dc.contributor.authorSMEETS, Karen-
dc.contributor.authorPariselle, Antoine-
dc.contributor.authorVANHOVE, Maarten-
dc.date.accessioned2020-10-21T13:54:53Z-
dc.date.available2020-10-21T13:54:53Z-
dc.date.issued2021-
dc.date.submitted2020-10-11T11:26:08Z-
dc.identifier.citationHYDROBIOLOGIA, 848 (16), p. 3847-3863-
dc.identifier.issn0018-8158-
dc.identifier.urihttp://hdl.handle.net/1942/32519-
dc.description.abstractSpecies interactions are a key aspect of evolutionary biology. Parasites, specifically, are drivers of the evolution of species communities and impact biosecurity and public health. However, when using interaction networks for evolutionary studies, interdependencies between distantly related species in these networks are shaped by ancient and complex processes. We propose using recent interacting host-parasite radiations, e.g. African cichlid fishes and cichlid gill parasites belonging to Cichlidogyrus (Dactylogyridae, Monogenea), as macroevolutionary model of species interactions. The cichlid-Cichlido-gyrus network encompasses 138 parasite species and 416 interactions identified through morphological characteristics and genetic markers in 160 publications. We discuss the steps required to develop this model system based on data resolution, sampling bias, and reporting quality. In addition, we propose the following steps to guide efforts for a macroevolution-ary model system for species interactions: first, evaluating and expanding model system outcome measures to increase data resolution; second, closing knowledge gaps to address underreporting and sampling bias arising from limited human and financial-
dc.description.sponsorshipWe thank Nikol Kmentová for providing the vector graphics of the attachment organs used to create Fig. 1, Walter Salzburger for the encouragement to complete this review, and Tine Huyse, Wouter Fannes, and Jos Snoeks for help in data collection supported by BRAIN-be Pioneer Project BR/132/PI/TILAPIA (Belgian Federal Science Policy Office) and Knowledge Management Centre project CiMonoWeb (Royal Museum for Central Africa). Part of the research leading to results presented in this publication was carried out with infrastructure funded by the European Marine Biological Research Centre (EMBRC) Belgium, Research Foundation: Flanders (FWO) Project GOH3817N. AJCL is funded by Hasselt University. We thank the anonymous reviewers for suggesting improvements to the manuscript.-
dc.language.isoen-
dc.publisher-
dc.rightsSpringer Nature Switzerland AG 2020-
dc.subject.otherCichlid parasites-
dc.subject.otherDactylogyridae-
dc.subject.otherMonogenea-
dc.subject.otherHost-parasite network-
dc.subject.otherTaxonomic bias-
dc.subject.otherData reporting-
dc.titleThe cichlid–Cichlidogyrus network: a blueprint for a model system of parasite evolution-
dc.typeJournal Contribution-
dc.identifier.epage3863-
dc.identifier.issue16-
dc.identifier.spage3847-
dc.identifier.volume848-
local.bibliographicCitation.jcatA1-
local.publisher.placeVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS-
local.type.refereedRefereed-
local.type.specifiedReview-
dc.identifier.doi10.1007/s10750-020-04426-4-
dc.identifier.isiWOS:000578453900001-
dc.identifier.eissn1573-5117-
local.provider.typePdf-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.fullcitationCRUZ LAUFER, Armando; ARTOIS, Tom; SMEETS, Karen; Pariselle, Antoine & VANHOVE, Maarten (2021) The cichlid–Cichlidogyrus network: a blueprint for a model system of parasite evolution. In: HYDROBIOLOGIA, 848 (16), p. 3847-3863.-
item.contributorCRUZ LAUFER, Armando-
item.contributorARTOIS, Tom-
item.contributorSMEETS, Karen-
item.contributorPariselle, Antoine-
item.contributorVANHOVE, Maarten-
item.validationecoom 2021-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
crisitem.journal.issn0018-8158-
crisitem.journal.eissn1573-5117-
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