Evidence map›Paper›PMID 41066543›Full record

ArticlePLoS biology2025

Malaria parasites can optimize transmission investment by sensing two within-host cues.

Avril Wang, Megan Ann Greischar, Nicole Mideo

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Avril WangDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8049-4885
Megan Ann GreischarDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, United States of America.
Nicole MideoDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.

Funding

Cornell University College of Agriculture and Life SciencesNSERC USRA
6 · The paper itself

Abstract

The timing of investment into reproduction is a key determinant of lifetime reproductive success (fitness). Many organisms exhibit plastic, i.e., environmentally-responsive, investment strategies, raising the questions of what environmental cues trigger responses and why organisms have evolved to respond to those particular cues. For malaria parasites (Plasmodium spp.), investment into the production of specialized transmission stages (versus stages that replicate asexually within the host) is synonymous with reproductive investment and also plastic, responding to host- and parasite-derived factors. Previous theory has identified optimal plastic transmission investment strategies for the rodent malaria parasite, Plasmodium chabaudi, as a function of the time since infection, implicitly assuming that parasites have perfect information about the within-host environment and how it is changing. We extend that theory to ask which cue(s) should parasites use? Put another way, which cue(s) maximize parasite fitness, quantified as host infectiousness during acute infection? Our results show that sensing a parasite-associated cue, e.g., the abundance of infected red blood cells or transmission stages, allows parasites to achieve fitness approaching that of the optimal time-varying strategy, but only when parasites perceive the cue non-linearly, responding more sensitively to changes at low densities. However, no single cue can recreate the best time-varying strategy or allow parasites to adopt terminal investment as the infection ends, a classic expectation for reproductive investment. Sensing two cues-log-transformed infected and uninfected red blood cell abundance-enables parasites to accurately track the progression of the infection, permits terminal investment, and recovers the fitness of the optimal time-varying investment strategy. Importantly, parasites that detect two cues more efficiently exploit hosts, resulting in higher virulence compared with those sensing only one cue. However, parasites sensing two cues also experience larger fitness declines in the face of environmental and developmental fluctuations. Collectively, our results suggest that sensing non-redundant cues enables more optimal transmission investment but trades off against robustness in the face of environmental and developmental noise.

Indexed as

Host-Parasite InteractionsMalariaPlasmodium chabaudiAnimalsCuesErythrocytesMiceReproduction

Identifiers

PMID41066543
PMCPMC12551962

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.