Evidence map›Paper›PMID 38097582›Full record

ArticleNature communications2023

Evolutionary modelling indicates that mosquito metabolism shapes the life-history strategies of Plasmodium parasites.

Paola Carrillo-Bustamante, Giulia Costa, Lena Lampe, Elena A Levashina

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Mechanisms and targets of harnessingJournal of biomedical research · 2026
    Article
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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

4 authors.

Paola Carrillo-BustamanteVector Biology Unit, Max Planck Institute for Infection Biology, 10117, Berlin, Germany. carrillo@mpiib-berlin.mpg.de.ORCID 0000-0001-8322-8286
Giulia CostaVector Biology Unit, Max Planck Institute for Infection Biology, 10117, Berlin, Germany.ORCID 0000-0001-7387-6589
Lena LampeVector Biology Unit, Max Planck Institute for Infection Biology, 10117, Berlin, Germany.
Elena A LevashinaVector Biology Unit, Max Planck Institute for Infection Biology, 10117, Berlin, Germany. levashina@mpiib-berlin.mpg.de.ORCID 0000-0003-4605-906X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within-host survival and between-host transmission are key life-history traits of single-celled malaria parasites. Understanding the evolutionary forces that shape these traits is crucial to predict malaria epidemiology, drug resistance, and virulence. However, very little is known about how Plasmodium parasites adapt to their mosquito vectors. Here, we examine the evolution of the time Plasmodium parasites require to develop within the vector (extrinsic incubation period) with an individual-based model of malaria transmission that includes mosquito metabolism. Specifically, we model the metabolic cascade of resource allocation induced by blood-feeding, as well as the influence of multiple blood meals on parasite development. Our model predicts that successful vector-to-human transmission events are rare, and are caused by long-lived mosquitoes. Importantly, our results show that the life-history strategies of malaria parasites depend on the mosquito's metabolic status. In our model, additional resources provided by multiple blood meals lead to selection for parasites with slow or intermediate developmental time. These results challenge the current assumption that evolution favors fast developing parasites to maximize their chances to complete their within-mosquito life cycle. We propose that the long sporogonic cycle observed for Plasmodium is not a constraint but rather an adaptation to increase transmission potential.

Indexed as

AnophelesMalariaParasitesPlasmodiumAnimalsHumansMosquito Vectors

Identifiers

PMID38097582
PMCPMC10721866

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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.