4.5 Article

Predicting optimal transmission investment in malaria parasites

期刊

EVOLUTION
卷 70, 期 7, 页码 1542-1558

出版社

WILEY
DOI: 10.1111/evo.12969

关键词

Coinfection; malaria; reproductive restraint; transmission investment; virulence

资金

  1. National Institute of General Medical Sciences, NIH [R01GM089932]
  2. RAPIDD program of the Science & Technology Directorate, Department of Homeland Security
  3. Fogarty International Center, National Institutes of Health
  4. Bill and Melinda Gates Foundation
  5. Human Frontiers Science Program [RGP0046/2013]
  6. Natural Sciences and Engineering Research Council of Canada
  7. Division Of Environmental Biology
  8. Direct For Biological Sciences [1354819] Funding Source: National Science Foundation

向作者/读者索取更多资源

In vertebrate hosts, malaria parasites face a tradeoff between replicating and the production of transmission stages that can be passed onto mosquitoes. This tradeoff is analogous to growth-reproduction tradeoffs in multicellular organisms. We use a mathematical model tailored to the life cycle and dynamics of malaria parasites to identify allocation strategies that maximize cumulative transmission potential to mosquitoes. We show that plastic strategies can substantially outperform fixed allocation because parasites can achieve greater fitness by investing in proliferation early and delaying the production of transmission stages. Parasites should further benefit from restraining transmission investment later in infection, because such a strategy can help maintain parasite numbers in the face of resource depletion. Early allocation decisions are predicted to have the greatest impact on parasite fitness. If the immune response saturates as parasite numbers increase, parasites should benefit from even longer delays prior to transmission investment. The presence of a competing strain selects for consistently lower levels of transmission investment and dramatically increased exploitation of the red blood cell resource. While we provide a detailed analysis of tradeoffs pertaining to malaria life history, our approach for identifying optimal plastic allocation strategies may be broadly applicable.

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