Adding a cost of resistance description extends the ability of virus–host model to explain observed patterns in structure and function of pelagic microbial communities
Version of Record online: 17 JAN 2013
© 2012 Society for Applied Microbiology and Blackwell Publishing Ltd
Volume 15, Issue 6, pages 1842–1852, June 2013
How to Cite
Våge, S., Storesund, J. E. and Thingstad, T. F. (2013), Adding a cost of resistance description extends the ability of virus–host model to explain observed patterns in structure and function of pelagic microbial communities. Environmental Microbiology, 15: 1842–1852. doi: 10.1111/1462-2920.12077
- Issue online: 4 JUN 2013
- Version of Record online: 17 JAN 2013
- Accepted manuscript online: 25 DEC 2012 03:03AM EST
- Manuscript Accepted: 19 DEC 2012
- Manuscript Received: 11 JUN 2012
- EU-ERC. Grant Number: 250254
- ANR-AQUAPHAGE. Grant Number: ANR 07 BDIV 015-06
Fig SI. Virus–host rank-abundance curves as functions of the host growth rate μ and effective viral adsorption coefficient β in the nested infection model. Defence strategists are to the left (slow growing), and competition strategists to the right (fast growing). Viruses with low effective adsorption coefficients are generalists, while viruses with high effective adsorption coefficients are specialists. Trade-offs are set to τ = 0.5 (left), 2 (middle), and 3.5 (right). Note the different scales on the y-axes for the virus distributions. The logarithmic y-axes for the host distribution was used to include the fastest growing host group H1.
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