Parasite predators exhibit a rapid numerical response to increased parasite abundance and reduce transmission to hosts. Issue 13 (10th October 2013)

• Record Type: Journal Article
• Authors: Hopkins, Skylar R.; Wyderko, Jennie A.; Sheehy, Robert R.; Belden, Lisa K.; Wojdak, Jeremy M.
• Is Part Of: Ecology and evolution. Volume 3:Issue 13(2013)
• Page Start: 4427
• Page End: 4438
• Publication Date: 2013-10-10
• Subjects: Ecology -- Periodicals; Evolution -- Periodicals; 577.05
• DOI: 10.1002/ece3.634
• Languages: English
• ISSNs: 2045-7758

Abstract

<abstract abstract-type="main" id="ece3634-abs-0001"> <title>Abstract</title> <p>Predators of parasites have recently gained attention as important parts of food webs and ecosystems. In aquatic systems, many taxa consume free‐living stages of parasites, and can thus reduce parasite transmission to hosts. However, the importance of the functional and numerical responses of parasite predators to disease dynamics is not well understood. We collected host–parasite–predator cooccurrence data from the field, and then experimentally manipulated predator abundance, parasite abundance, and the presence of alternative prey to determine the consequences for parasite transmission. The parasite predator of interest was a ubiquitous symbiotic oligochaete of mollusks, <italic>Chaetogaster limnaei limnaei</italic>, which inhabits host shells and consumes larval trematode parasites. Predators exhibited a rapid numerical response, where predator populations increased or decreased by as much as 60% in just 5 days, depending on the parasite:predator ratio. Furthermore, snail infection decreased substantially with increasing parasite predator densities, where the highest predator densities reduced infection by up to 89%. Predators of parasites can play an important role in regulating parasite transmission, even when infection risk is high, and especially when predators can rapidly respond numerically to resource pulses. We suggest that these types of interactions might have cascading effects on entire disease systems, and emphasize the importance of considering disease dynamics at the community level.</p> </abstract>