Linking community assembly and structure across scales in a wild mouse parasite community. Issue 24 (9th December 2019)

• Record Type: Journal Article
• Authors: Rynkiewicz, Evelyn C.; Fenton, Andy; Pedersen, Amy B.
• Is Part Of: Ecology and evolution. Volume 9:Issue 24(2020)
• Page Start: 13752
• Page End: 13763
• Publication Date: 2019-12-09
• Subjects: Bartonella -- coinfection -- community assembly -- community structure -- Eimeria -- helminths -- multi‐state Markov model -- nestedness -- wild mice; Ecology -- Periodicals; Evolution -- Periodicals; 577.05
• DOI: 10.1002/ece3.5785
• Languages: English
• ISSNs: 2045-7758

Abstract

Abstract: Understanding what processes drive community structure is fundamental to ecology. Many wild animals are simultaneously infected by multiple parasite species, so host–parasite communities can be valuable tools for investigating connections between community structures at multiple scales, as each host can be considered a replicate parasite community. Like free‐living communities, within‐host–parasite communities are hierarchical; ecological interactions between hosts and parasites can occur at multiple scales (e.g., host community, host population, parasite community within the host), therefore, both extrinsic and intrinsic processes can determine parasite community structure. We combine analyses of community structure and assembly at both the host population and individual scales using extensive datasets on wild wood mice ( Apodemus sylvaticus ) and their parasite community. An analysis of parasite community nestedness at the host population scale provided predictions about the order of infection at the individual scale, which were then tested using parasite community assembly data from individual hosts from the same populations. Nestedness analyses revealed parasite communities were significantly more structured than random. However, observed nestedness did not differ from null models in which parasite species abundance was kept constant. We did not find consistency between observed community structure at the host population scale and within‐host order of infection. Multi‐state Markov models of parasite community assembly showed that a host's likelihood of infection with one parasite did not consistently follow previous infection by a different parasite species, suggesting there is not a deterministic order of infection among the species we investigated in wild wood mice. Our results demonstrate that patterns at one scale (i.e., host population) do not reliably predict processes at another scale (i.e., individual host), and that neutral or stochastic processes may be driving the patterns of nestedness observed in these communities. We suggest that experimental approaches that manipulate parasite communities are needed to better link processes at multiple ecological scales. Abstract : Many wild animals are simultaneously infected by multiple parasite species, and so host–parasite communities can be a valuable tool to investigate connections between community structure at multiple scales, as each host can be considered to contain a replicate parasite community. Here, we combine analyses of community structure and assembly at both the host population and individual scales using an extensive dataset on wild wood mice ( Apodemus sylvaticus ) and their parasite community. While our results show that these parasite communities are not randomly assembled, patterns at one scale (i.e., host population) do not reliably predict processes at another scale (i.e., individual host).