Host dispersal as the driver of parasite genetic structure: a paradigm lost?. (5th January 2016)

• Record Type: Journal Article
• Authors: Mazé‐Guilmo, Elise; Blanchet, Simon; McCoy, Karen D.; Loot, Géraldine
• Is Part Of: Ecology letters. Volume 19:Number 3(2016:Mar.)
• Page Start: 336
• Page End: 347
• Publication Date: 2016-01-05
• Subjects: Animals -- coevolution -- co‐structure -- gene flow -- host–parasite interactions -- local adaptation -- meta‐analyses -- migration rate -- plants -- population genetics -- trait diversity; Ecology -- Periodicals; 577
• DOI: 10.1111/ele.12564
• Languages: English
• ISSNs: 1461-023X

Abstract

Abstract: Understanding traits influencing the distribution of genetic diversity has major ecological and evolutionary implications for host–parasite interactions. The genetic structure of parasites is expected to conform to that of their hosts, because host dispersal is generally assumed to drive parasite dispersal. Here, we used a meta‐analysis to test this paradigm and determine whether traits related to host dispersal correctly predict the spatial co‐distribution of host and parasite genetic variation. We compiled data from empirical work on local adaptation and host–parasite population genetic structure from a wide range of taxonomic groups. We found that genetic differentiation was significantly lower in parasites than in hosts, suggesting that dispersal may often be higher for parasites. A significant correlation in the pairwise genetic differentiation of hosts and parasites was evident, but surprisingly weak. These results were largely explained by parasite reproductive mode, the proportion of free‐living stages in the parasite life cycle and the geographical extent of the study; variables related to host dispersal were poor predictors of genetic patterns. Our results do not dispel the paradigm that parasite population genetic structure depends on host dispersal. Rather, we highlight that alternative factors are also important in driving the co‐distribution of host and parasite genetic variation.