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      Cryptic Population Dynamics: Rapid Evolution Masks Trophic Interactions

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          Abstract

          Trophic relationships, such as those between predator and prey or between pathogen and host, are key interactions linking species in ecological food webs. The structure of these links and their strengths have major consequences for the dynamics and stability of food webs. The existence and strength of particular trophic links has often been assessed using observational data on changes in species abundance through time. Here we show that very strong links can be completely missed by these kinds of analyses when changes in population abundance are accompanied by contemporaneous rapid evolution in the prey or host species. Experimental observations, in rotifer-alga and phage-bacteria chemostats, show that the predator or pathogen can exhibit large-amplitude cycles while the abundance of the prey or host remains essentially constant. We know that the species are tightly linked in these experimental microcosms, but without this knowledge, we would infer from observed patterns in abundance that the species are weakly or not at all linked. Mathematical modeling shows that this kind of cryptic dynamics occurs when there is rapid prey or host evolution for traits conferring defense against attack, and the cost of defense (in terms of tradeoffs with other fitness components) is low. Several predictions of the theory that we developed to explain the rotifer-alga experiments are confirmed in the phage-bacteria experiments, where bacterial evolution could be tracked. Modeling suggests that rapid evolution may also confound experimental approaches to measuring interaction strength, but it identifies certain experimental designs as being more robust against potential confounding by rapid evolution.

          Author Summary

          The presence and strength of interactions between species has frequently been inferred from observational data on changes in species abundance. For example, correlated cycles in potential predator and prey species may be interpreted as evidence that the species interact, while the absence of such coupled oscillations might be interpreted as evidence for lack of interaction. Here we show that prey abundance can be decoupled from changes in predator abundance when there is genetic variability in the prey for antipredator defense traits, allowing rapid evolutionary changes in prey defense levels. It then appears that the two species are not interacting, when in fact they are. We deduce this from studies of two laboratory microcosm systems, one with algae consumed by rotifers and the other with bacteria attacked by phage. In each, when the prey vary genetically for defense traits and undefended genotypes are superior competitors, defended and undefended prey frequencies evolve in a cyclical way that is almost exactly counterbalancing, so that total prey density remains nearly constant. We show mathematically that these “cryptic cycles” occur whenever conditions are right for predator-prey cycles, when prey vary genetically for defense traits, and when prey defense against predation is effective but inexpensive to produce. Under these conditions, observations of predator and prey population dynamics cannot be trusted to be informative about the strength or even the existence of interspecific trophic links.

          Abstract

          Contemporary rapid evolution in prey and pathogen species masks strong tropic interactions with predators and hosts. These "cryptic dynamics" reveal a need for a new approach to measuring interaction strengths in food webs.

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          Cascading Trophic Interactions and Lake Productivity

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            Are Trophic Cascades All Wet? Differentiation and Donor-Control in Speciose Ecosystems

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              Plant Species Diversity in a Marine Intertidal Community: Importance of Herbivore Food Preference and Algal Competitive Abilities

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biology
                Public Library of Science (San Francisco, USA )
                1544-9173
                1545-7885
                September 2007
                4 September 2007
                : 5
                : 9
                : e235
                Affiliations
                [1 ] Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, United States of America
                [2 ] Department of Biology, University of Oregon, Eugene, Oregon, United States of America
                [3 ] Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America
                Penn State University, United States of America
                Author notes
                * To whom correspondence should be addressed. E-mail: ngh1@ 123456cornell.edu
                Article
                07-PLBI-RA-0937R1 plbi-05-09-14
                10.1371/journal.pbio.0050235
                1964773
                17803356
                f84d1ba0-3b6a-46bd-b554-538bcdb6cf23
                Copyright: © 2007 Yoshida et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 11 April 2007
                : 3 July 2007
                Page count
                Pages: 12
                Categories
                Research Article
                Ecology
                Ecology
                Ecology
                Ecology
                Ecology
                Evolutionary Biology
                Evolutionary Biology
                Plants
                Animals
                Viruses
                Eubacteria
                Custom metadata
                Yoshida T, Ellner SP, Jones LE, Bohannan BJM, Lenski RE, et al. (2007) Cryptic population dynamics: Rapid evolution masks trophic interactions. PLoS Biol 5(9): e235. doi: 10.1371/journal.pbio.0050235

                Life sciences
                Life sciences

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