Immunity can impose a reproduction–survival tradeoff on human malaria parasites

Many pathogenic organisms, including malaria parasites, produce specialized life stages for within-host multiplication (asexual) versus onward transmission (sexual reproduction). Restrained investment into transmission stage production-by allowing faster multiplication-is predicted to curtail the lifespan of infection via faster host recovery or mortality, a classic tradeoff between the rate and duration of transmission. In contrast, under a reproduction-survival tradeoff, restraining investment into reproduction should extend survival (for parasites, infection duration). To distinguish between these predictions, we develop a within-host mathematical model incorporating immunity to track dynamics across infection age (time since start of blood stage infection) for human malaria infections. When transmission investment is constant across infection age, increased investment reduces infection duration and parasite fitness. Optimal transmission investment occurs at a lower value (around $5\%$) than predicted by models lacking feedback between transmission investment and immunity. When strategies vary with infection age, our model shows that malaria parasites benefit from delaying transmission investment to allow for faster within-host multiplication. We show that adaptive immunity can impose a survival-reproduction tradeoff, an emergent property of the model. Our theoretical framework provides a basis for understanding the timing and duration of infectiousness, with implications for parasite evolution in response to control efforts.

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Publication Details

Journal
Evolution
Published
2025-11-25
DOI
https://doi.org/10.1093/evolut/qpaf238
Citations
1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
1.82

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article

Immunity can impose a reproduction–survival tradeoff on human malaria parasites

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1 citations
Evolution
Evolution and Genetic Dynamics
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article

Immunity can impose a reproduction–survival tradeoff on human malaria parasites

Megan A. Greischar, Isaac J. Stopard, Denis Patterson, Lauren M. Childs, Nakul Chitnis, Sergio Serrato-Arroyo
article en
1 citations

Abstract

Many pathogenic organisms, including malaria parasites, produce specialized life stages for within-host multiplication (asexual) versus onward transmission (sexual reproduction). Restrained investment into transmission stage production-by allowing faster multiplication-is predicted to curtail the lifespan of infection via faster host recovery or mortality, a classic tradeoff between the rate and duration of transmission. In contrast, under a reproduction-survival tradeoff, restraining investment into reproduction should extend survival (for parasites, infection duration). To distinguish between these predictions, we develop a within-host mathematical model incorporating immunity to track dynamics across infection age (time since start of blood stage infection) for human malaria infections. When transmission investment is constant across infection age, increased investment reduces infection duration and parasite fitness. Optimal transmission investment occurs at a lower value (around $5\%$) than predicted by models lacking feedback between transmission investment and immunity. When strategies vary with infection age, our model shows that malaria parasites benefit from delaying transmission investment to allow for faster within-host multiplication. We show that adaptive immunity can impose a survival-reproduction tradeoff, an emergent property of the model. Our theoretical framework provides a basis for understanding the timing and duration of infectiousness, with implications for parasite evolution in response to control efforts.

EvolutionVol. 80(2)
Statistical and Applied Mathematical Sciences Institute (US), Swiss Tropical and Public Health Institute (CH), University of Basel (CH), Durham University (GB), Cornell University (US), New York State University College of Human Ecology (US), Imperial College London (GB), Arizona State University (US), Virginia Tech (US)
National Science Foundation, Bill and Melinda Gates Foundation, American Institute of Mathematics, College of Agriculture and Life Sciences, Cornell University, Biophysical Sciences Institute
Openalex Percentile: Top 11%
Evolution and Genetic Dynamics
1.82
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