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SYNTHESIS: Plastic parasites: sophisticated strategies for survival and reproduction?
- Source :
- Evolutionary Applications. 2:11-23
- Publication Year :
- 2009
- Publisher :
- Wiley, 2009.
-
Abstract
- Adaptive phenotypic plasticity in life history traits, behaviours, and strategies is ubiquitous in biological systems. It is driven by variation in selection pressures across environmental gradients and operates under constraints imposed by trade-offs. Phenotypic plasticity has been thoroughly documented for multicellular taxa, such as insects, birds and mammals, and in many cases the underlying selective pressures are well understood. Whilst unicellular parasites face many of the same selective pressures and trade-offs, plasticity in their phenotypic traits has been largely overlooked and remains poorly understood. Here, we demonstrate that evolutionary theory, developed to explain variation observed in the life-history traits of multicellular organisms, can be applied to parasites. Though our message is general – we can expect the life-histories of all parasites to have evolved phenotypic plasticity – we focus our discussion on malaria parasites. We use an evolutionary framework to explain the trade-offs that parasites face and how plasticity in their life history traits will be expressed according to changes in their in-host environment. Testing whether variation in parasites traits is adaptive will provide new and fundamental insights into the basic biology of parasites, their epidemiology and the processes of disease during individual infections.
- Subjects :
- 0106 biological sciences
0303 health sciences
Phenotypic plasticity
Ecology
media_common.quotation_subject
Phenotypic trait
Biology
010603 evolutionary biology
01 natural sciences
Adaptability
3. Good health
Life history theory
03 medical and health sciences
Multicellular organism
Variation (linguistics)
Genetics
Adaptation
General Agricultural and Biological Sciences
Ecology, Evolution, Behavior and Systematics
Sex allocation
030304 developmental biology
media_common
Subjects
Details
- ISSN :
- 17524571
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Evolutionary Applications
- Accession number :
- edsair.doi...........0b562c687bb8775fd13c2263d6bc936b
- Full Text :
- https://doi.org/10.1111/j.1752-4571.2008.00060.x