Journal
AMERICAN NATURALIST
Volume -, Issue -, Pages -Publisher
UNIV CHICAGO PRESS
DOI: 10.1086/717181
Keywords
time shift; bacteria; bacteriophage; coevolution; horse chestnut tree
Categories
Funding
- National Science Foundation
- US Department of Agriculture [1942881]
- United Kingdom Natural Environment Research Council [NE/K00879X/1]
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Coevolution is difficult to study directly, but time-shift experiments are a powerful tool to measure coevolution by challenging individuals from different time points. The experiments revealed an asymmetry in host resistance and phage infectivity, suggesting a need to revise existing coevolutionary theory to account for differing models for hosts and parasites.
Coevolution shapes diversity within and among populations but is difficult to study directly. Time-shift experiments, where individuals from one point in time are experimentally challenged against individuals from past, contemporary, and/or future time points, are a powerful tool to measure coevolution. This approach has proven useful both in directly measuring coevolutionary change and in distinguishing among coevolutionary models. However, these data are only as informative as the time window over which they were collected, and inference from shorter coevolutionary windows might conflict with those from longer time periods. Previous time-shift experiments from natural microbial communities of horse chestnut tree leaves uncovered an apparent asymmetry, whereby bacterial hosts were more resistant to bacteriophages from all earlier points in the growing season, while phages were most infective to hosts from only the recent past. Here, we extend the time window over which these infectivity and resistance ranges are observed across years and confirm that the previously observed asymmetry holds over longer timescales. These data suggest that existing coevolutionary theory should be revised to include the possibility of differing models for hosts and their parasites and examined for how such asymmetries might reshape the predicted outcomes of coevolution.
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