Evidence map›Paper›PMID 33391720›Full record

ArticleEcology and evolution2020

FastD: Fast detection of insecticide target-site mutations and overexpressed detoxification genes in insect populations from RNA-Seq data.

Longfei Chen, Kun Lang, Yang Mei, Zhenmin Shi, Kang He, Fei Li, Huamei Xiao, Gongyin Ye, Zhaojun Han

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Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Longfei ChenInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.
Kun LangInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.
Yang MeiInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.
Zhenmin ShiInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.
Kang HeInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.
Fei LiInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.ORCID https://orcid.org/0000-0002-8410-5250
Huamei XiaoInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.
Gongyin YeInstitute of Insect Sciences College of Agriculture and Biotechnology Zhejiang University Hangzhou China.
Zhaojun HanDepartment of Entomology Nanjing Agricultural University Nanjing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Target-site mutations and detoxification gene overexpression are two major mechanisms conferring insecticide resistance. Molecular assays applied to detect these resistance genetic markers are time-consuming and with high false-positive rates. RNA-Seq data contains information on the variations within expressed genomic regions and expression of detoxification genes. However, there is no corresponding method to detect resistance markers at present. Here, we collected 66 reported resistance mutations of four insecticide targets (AChE, VGSC, RyR, and nAChR) from 82 insect species. Next, we obtained 403 sequences of the four target genes and 12,665 sequences of three kinds of detoxification genes including P450s, GSTs, and CCEs. Then, we developed a Perl program, FastD, to detect target-site mutations and overexpressed detoxification genes from RNA-Seq data and constructed a web server for FastD (http://www.insect-genome.com/fastd). The estimation of FastD on simulated RNA-Seq data showed high sensitivity and specificity. We applied FastD to detect resistant markers in 15 populations of six insects,

Indexed as

detoxification genesinsecticide resistanceRNA‐Seqtarget‐site mutationswebserver

Identifiers

PMID33391720
PMCPMC7771117

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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.