Evidence map›Paper›PMID 30622266›Full record

ArticleNature communications2019

Transforming insect population control with precision guided sterile males with demonstration in flies.

Nikolay P Kandul, Junru Liu, Hector M Sanchez C, Sean L Wu, John M Marshall, Omar S Akbari

Abstract readEvaluation Study
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing 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

116 citing papers in PubMed.

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56 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nikolay P KandulDivision of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093, California, USA.
Junru LiuDivision of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093, California, USA.
Hector M Sanchez CDivision of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA 94720, California, USA.ORCID http://orcid.org/0000-0001-7378-8853
Sean L WuDivision of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA 94720, California, USA.
John M MarshallDivision of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA 94720, California, USA.
Omar S AkbariDivision of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA 92093, California, USA. oakbari@ucsd.edu.ORCID http://orcid.org/0000-0002-6853-9884

Funding

Developing reciprocal chromosomal translocations for wild population replacement in an important vector of human disease.R21AI123937 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AKBARI, OMAR SULTAN · 2017 to 2018
$427k
Synthetically engineering population control systems in vectors of human diseaseK22AI113060 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AKBARI, OMAR SULTAN · 2015 to 2016
$270k
NIAID NIH HHS K22 AI113060NIAID NIH HHS R21 AI123937NIH HHS 1R21AI123937NIH HHS 5K22AI113060
6 · The paper itself

Abstract

The sterile insect technique (SIT) is an environmentally safe and proven technology to suppress wild populations. To further advance its utility, a novel CRISPR-based technology termed precision guided SIT (pgSIT) is described. PgSIT mechanistically relies on a dominant genetic technology that enables simultaneous sexing and sterilization, facilitating the release of eggs into the environment ensuring only sterile adult males emerge. Importantly, for field applications, the release of eggs will eliminate burdens of manually sexing and sterilizing males, thereby reducing overall effort and increasing scalability. Here, to demonstrate efficacy, we systematically engineer multiple pgSIT systems in Drosophila which consistently give rise to 100% sterile males. Importantly, we demonstrate that pgSIT-generated sterile males are fit and competitive. Using mathematical models, we predict pgSIT will induce substantially greater population suppression than can be achieved by currently-available self-limiting suppression technologies. Taken together, pgSIT offers to potentially transform our ability to control insect agricultural pests and disease vectors.

Indexed as

Sexual Behavior, AnimalAnimalsCRISPR-Cas SystemsDrosophilaFemaleGene EditingGenome, InsectInsect VectorsMaleModels, BiologicalPest Control, BiologicalPopulation ControlRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID30622266
PMCPMC6325135

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.