Evidence map›Paper›PMID 25540155›Full record

ArticleBiology letters2014

Chemical and biological insecticides select distinct gene expression patterns in Aedes aegypti mosquito.

Laurence Després, Renaud Stalinski, Frédéric Faucon, Vincent Navratil, Alain Viari, Margot Paris, Guillaume Tetreau, Rodolphe Poupardin, Muhammad Asam Riaz, Aurélie Bonin and 2 more

Abstract read
In one paragraph

Article in Biology letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  3. mBio · 2023
    Article
  4. Article
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  6. Viruses · 2022
    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

12 authors.

Laurence DesprésUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France laurence.despres@ujf-grenoble.fr.
Renaud StalinskiUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Frédéric FauconUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Vincent NavratilPôle Rhône-Alpes de Bioinformatique, Université de Lyon, Lyon 69000, France.
Alain ViariINRIA Grenoble Rhône-Alpes, Montbonnot-Saint-Martin 38330, France.
Margot ParisUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Guillaume TetreauUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Rodolphe PoupardinUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Muhammad Asam RiazUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Aurélie BoninUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Stéphane ReynaudUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.
Jean-Philippe DavidUniversité Grenoble-Alpes, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France CNRS, Laboratoire d'Ecologie Alpine UMR 5553, BP53, Grenoble 38041, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worldwide evolution of mosquito resistance to chemical insecticides represents a major challenge for public health, and the future of vector control largely relies on the development of biological insecticides that can be used in combination with chemicals (integrated management), with the expectation that populations already resistant to chemicals will not become readily resistant to biological insecticides. However, little is known about the metabolic pathways affected by selection with chemical or biological insecticides. Here we show that Aedes aegypti, a laboratory mosquito strain selected with a biological insecticide (Bacillus thuringiensis israelensis, Bti) evolved increased transcription of many genes coding for endopeptidases while most genes coding for detoxification enzymes were under-expressed. By contrast, in strains selected with chemicals, genes encoding detoxification enzymes were mostly over-expressed. In all the resistant strains, genes involved in immune response were under-transcribed, suggesting that basal immunity might be a general adjustment variable to compensate metabolic costs caused by insecticide selection. Bioassays generally showed no evidence for an increased susceptibility of selected strains towards the other insecticide type, and all chemical-resistant strains were as susceptible to Bti as the unselected parent strain, which is a good premise for sustainable integrated management of mosquito populations resistant to chemicals.

Indexed as

Gene Expression ProfilingGenes, InsectPest Control, BiologicalAedesAnimalsInsecticidesInsecticidescross resistancedetoxificationimmunitytranscriptomics

Identifiers

PMID25540155
PMCPMC4298186

What OpenQuestion holds

Textmetadata
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.