ReviewInsect science2026
Genetic engineering for SIT application: a fruit fly-focused review.
Review in Insect science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Sterile insect technique (SIT) has become a key component of efficient pest control. Fruit fly pests from the Drosophilidae and Tephritidae families pose a substantial and overwhelmingly increasing threat to the agricultural industry, aggravated by climate change and globalization among other contributors. In this review, we discuss the advances in genetic engineering aimed to improve the SIT-mediated fruit fly pest control. This includes SIT enhancement strategies such as novel genetic sexing strain and female lethality approaches. Self-pervasive X-shredding and X-poisoning sex distorters, alongside gene drive varieties are also reviewed. The self-limiting precision-guided SIT, which aims to tackle female removal and male fertility via CRISPR/Cas9, is additionally introduced. By using examples of existing genetic tools in the fruit fly pests of interest, as well as model species, we illustrate that the population control intensity may be modulated depending on strategy selection.
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Registered trials
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.