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Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
Published on: October 29, 2016
How does spatial dispersal network affect the evolution of parasite local adaptation?
Tom Vogwill1, Andy Fenton, Michael A Brockhurst
1School of Biological Sciences, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, United Kingdom. tvogwill@liverpool.ac.uk
Evolution; International Journal of Organic Evolution
|January 7, 2010
Summary
Parasite dispersal networks shape local adaptation. Spatial variation in infectivity, driven by network structure, revealed local adaptation and maladaptation, highlighting dispersal
Area of Science:
- Evolutionary Biology
- Ecology
- Microbial Genetics
Background:
- Host-parasite coevolutionary dynamics are influenced by parasite local adaptation.
- Dispersal and population structure are key factors affecting parasite local adaptation.
- Understanding these factors is crucial for predicting coevolutionary trajectories.
Purpose of the Study:
- To investigate the impact of spatial dispersal network topology on bacteriophage parasite local adaptation to bacterial hosts.
- To determine how landscape structure influences the evolution of parasite infectivity and local adaptation.
- To compare different definitions of local adaptation under varying dispersal scenarios.
Main Methods:
- Experimental evolution using bacteriophage-bacteria systems in controlled landscapes.
- Manipulation of spatial dispersal network shapes within experimental environments.
- Quantification of phage infectivity breadth and assessment of local adaptation using multiple definitions (local vs. foreign, home vs. away, local vs. global).
Main Results:
- Dispersal consistently led to the evolution of phages with broader infectivity ranges, irrespective of landscape topology.
- Spatial variation in phage infectivity, driven by dispersal network shape, resulted in significant local adaptation and maladaptation when using the local vs. foreign definition.
- Local adaptation was not detected with home vs. away or local vs. global definitions under these conditions.
Conclusions:
- Spatial dispersal networks significantly influence parasite local adaptation.
- The shape of dispersal networks can generate spatial heterogeneity in host resistance and parasite infectivity, driving local adaptation.
- The definition of local adaptation is critical for detecting evolutionary patterns, particularly in spatially structured populations.
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