Evidence map›Paper›PMID 33797019›Full record

ArticleEcotoxicology (London, England)2021

Genetics and mechanism of resistance to chlorantraniliprole in Musca domestica L. (Diptera: Muscidae).

Rizwan Mustafa Shah, Sarfraz Ali Shad

Abstract read
PubMed Publisher
In one paragraph

Article in Ecotoxicology (London, England), 2021. 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
0.4field-weighted citation impact, top 42% of its field
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, 7 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Rizwan Mustafa ShahDepartment of Entomology, Faculty of Agricultural Sciences & Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan. rizwanmustafa20@gmail.com.ORCID http://orcid.org/0000-0002-7168-5700
Sarfraz Ali ShadDepartment of Entomology, Faculty of Agricultural Sciences & Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan. sarfrazshad@bzu.edu.pk.
Bahauddin Zakariya University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The house fly, Musca domestica L. is an important mechanical vector of different pathogens of medical and veterinary importance. It is an organism well-known for its ability to develop insecticide resistance. In the current study, we investigated the genetic basis and mechanism of chlorantraniliprole resistance in a field strain of house fly by selecting it artificially in the laboratory with a commercial formulation of chlorantraniliprole (CTPR-SEL). After seven generations of consecutive selection with chlorantraniliprole, CTPR-SEL strain developed a 644-fold resistance compared with the Susceptible strain and a 3-fold resistance compared with the field strain. Reciprocal crossing between the CTPR-SEL and Susceptible homozygous strains revealed an autosomal and incomplete dominant mode of resistance to chlorantraniliprole. A direct test using a monogenic inheritance model based on chi-square analysis revealed that the resistance was governed by more than one gene. Bioassays with synergists indicated that esterases might be involved in the resistance of house fly to chlorantraniliprole. These findings may be helpful to the development of an improved strategy for chlorantraniliprole resistance management in house fly.

Indexed as

HousefliesInsecticidesMuscidaeAnimalsInsecticide Resistanceortho-AminobenzoateschlorantranilipoleInsecticidesortho-AminobenzoatesDiamideInheritanceSynergistsToxicity

Identifiers

PMID33797019
OpenAlexW3150176808

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.