Evidence map›Paper›PMID 29973137›Full record

ArticleBMC genomics2018

Identification of candidate chemosensory genes in Mythimna separata by transcriptomic analysis.

Lixiao Du, Xincheng Zhao, Xiangzhi Liang, Xiwu Gao, Yang Liu, Guirong Wang

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
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22citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lixiao DuState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xincheng ZhaoDepartment of Entomology, College of Plant Protection, Henan Agricultural University, Zhengzhou, 450002, China.
Xiangzhi LiangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xiwu GaoDepartment of Entomology, China Agricultural University, Beijing, 100193, China.
Yang LiuState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. yangliu@ippcaas.cn.
Guirong WangState Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. wangguirong@caas.cn.

Funding

National Key R&D Program of China 2017YFD0200400National Natural Science Foundation of China 31621064National Natural Science Foundation of China 31672095National Natural Science Foundation of China 31725023
6 · The paper itself

Abstract

backgroundThe oriental armyworm, Mythimna separata, is an economically important and common Lepidopteran pest of cereal crops. Chemoreception plays a key role in insect life, such as foraging, oviposition site selection, and mating partners. To better understand the chemosensory mechanisms in M. separata, transcriptomic analysis of antennae, labial palps, and proboscises were conducted using next-generation sequencing technology to identify members of the major chemosensory related genes.

resultsIn this study, 62 putative odorant receptors (OR), 20 ionotropic receptors (IR), 16 gustatory receptors (GR), 38 odorant binding proteins (OBP), 26 chemosensory proteins (CSP), and 2 sensory neuron membrane proteins (SNMP) were identified in M. separata by bioinformatics analysis. Phylogenetic analysis of these candidate proteins was performed. Differentially expressed genes (DEGs) analysis was used to determine the expressions of all candidate chemosensory genes and then the expression profiles of the three families of receptor genes were confirmed by real-time quantitative RT-PCR (qPCR).

conclusionsThe important genes for chemoreception have now been identified in M. separata. This study will provide valuable information for further functional studies of chemoreception mechanisms in this important agricultural pest.

Indexed as

Gene Expression ProfilingAnimalsArthropod AntennaeDipteraFemaleInsect ProteinsMaleMembrane ProteinsNerve Tissue ProteinsPhylogenyReceptors, Ionotropic GlutamateReceptors, OdorantRNASequence Analysis, RNATranscriptomeInsect ProteinsMembrane ProteinsNerve Tissue Proteinsodorant-binding proteinReceptors, Ionotropic GlutamateReceptors, OdorantRNAsensory neuron membrane protein 1Chemosensory geneExpression analysisMythimna separataTranscriptome

Identifiers

PMID29973137
PMCPMC6030794

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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.