Population Dynamics of Viruses and Microbes

Author(s):  
Joshua S. Weitz

This chapter discusses how virus–host interactions affect population dynamics. Models of virus–host interactions suggest that long-term persistence between a single virus population and a single host population is possible. Population dynamics models demonstrate that one potential effect of a viral infection is to shift a community from bottom-up to top-down control. One hallmark of top-down control is a decrease in host abundance with virus addition. A second hallmark of top-down control is an increase in resource concentration with virus addition. Virus–host population dynamics can exhibit oscillations. These oscillations are typified by phase lags between peaks in population abundances of host and virus, in which the host peak precedes the viral peak. The period of oscillations is often much longer than the latent period time between viral infection and lysis.

1998 ◽  
Vol 194 (1) ◽  
pp. 1-9 ◽  
Author(s):  
J.M. Cushing ◽  
R.F. Costantino ◽  
Brian Dennis ◽  
R.A. Desharnais ◽  
Shandelle M. Henson

2020 ◽  
Vol 27 (1) ◽  
pp. 008-016
Author(s):  
Verónica C. Andreo ◽  
Mauricio Lima ◽  
Jaime J. Polop ◽  
M. Cecilia Provensal

2009 ◽  
Author(s):  
Mohamed O. El-Doma ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras

Ecology ◽  
2019 ◽  
pp. e02715 ◽  
Author(s):  
Floriane Plard ◽  
Rémi Fay ◽  
Marc Kéry ◽  
Aurélie Cohas ◽  
Michael Schaub

2018 ◽  
Vol 21 (12) ◽  
pp. 1790-1799 ◽  
Author(s):  
Mohsen Kayal ◽  
Hunter S. Lenihan ◽  
Andrew J. Brooks ◽  
Sally J. Holbrook ◽  
Russell J. Schmitt ◽  
...  

Parasitology ◽  
2012 ◽  
Vol 139 (8) ◽  
pp. 981-997 ◽  
Author(s):  
MARY J. GORTON ◽  
EMILY L. KASL ◽  
JILLIAN T. DETWILER ◽  
CHARLES D. CRISCIONE

SUMMARYWhen every individual has an equal chance of mating with other individuals, the population is classified as panmictic. Amongst metazoan parasites of animals, local-scale panmixia can be disrupted due to not only non-random mating, but also non-random transmission among individual hosts of a single host population or non-random transmission among sympatric host species. Population genetics theory and analyses can be used to test the null hypothesis of panmixia and thus, allow one to draw inferences about parasite population dynamics that are difficult to observe directly. We provide an outline that addresses 3 tiered questions when testing parasite panmixia on local scales: is there greater than 1 parasite population/species, is there genetic subdivision amongst infrapopulations within a host population, and is there asexual reproduction or a non-random mating system? In this review, we highlight the evolutionary significance of non-panmixia on local scales and the genetic patterns that have been used to identify the different factors that may cause or explain deviations from panmixia on a local scale. We also discuss how tests of local-scale panmixia can provide a means to infer parasite population dynamics and epidemiology of medically relevant parasites.


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