Evidence map›Paper›PMID 42054423›Full record

ArticlePLoS computational biology2026

Polyandry: A threat or an opportunity for the sterile insect technique?

Marine A Courtois, Louise van Oudenhove, Suzanne Touzeau, Frédéric Grognard, Ludovic Mailleret

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

5 authors.

Marine A CourtoisUniversité Côte d'Azur, INRAE, ISA, France.ORCID https://orcid.org/0009-0002-3623-1460
Louise van OudenhoveUniversité Côte d'Azur, INRAE, ISA, France.
Suzanne TouzeauUniversité Côte d'Azur, INRAE, ISA, France.ORCID https://orcid.org/0000-0001-5255-8960
Frédéric GrognardUniversité Côte d'Azur, Inria, INRAE, CNRS, MACBES, France.
Ludovic MailleretUniversité Côte d'Azur, INRAE, ISA, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sterile insect technique (SIT) is a pest control strategy based on the mass release of sterilized males to disrupt natural reproduction and suppress wild populations. However, its effectiveness can be challenged by biological factors such as female multiple mating and sperm use bias. While multiple mating is widespread among many insect species, the mechanisms governing sperm use remain poorly understood. In this study, we develop and analyze a compartmental mathematical model based on differential equations to investigate the overall impact of multiple mating on SIT efficiency. We further analyze the effect of sperm use biases with an agent-based model, calibrated on Drosophila suzukii, allowing the exploration of different scenarios: preferential use of first vs last sperm, of fertile vs sterile sperm, and mixed sperm use. Our results highlight how multiple mating and sperm use biases influence SIT effectiveness. In the longer term, multiple mating is disadvantageous as it requires additional releases of sterilized males to control the pest population. However, in the shorter term, it can be beneficial by disrupting further female reproductive output by "defertilizing" females mated with wild males. This study provides new information on how the way sperm is processed after mating can impact sterile insect control strategies, highlighting the limited influence of these biological processes depending on the release efforts that can be deployed.

Indexed as

Models, BiologicalPest Control, BiologicalSexual Behavior, AnimalAnimalsDrosophilaFemaleMaleReproductionSpermatozoa

Identifiers

PMID42054423
PMCPMC13143183

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.