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Identification of candidate chemosensory genes in Mythimna separata by transcriptomic analysis

Overview of attention for article published in BMC Genomics, July 2018
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Title
Identification of candidate chemosensory genes in Mythimna separata by transcriptomic analysis
Published in
BMC Genomics, July 2018
DOI 10.1186/s12864-018-4898-0
Pubmed ID
Authors

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

Abstract

The 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. In 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). The 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Master 2 11%
Student > Ph. D. Student 2 11%
Other 1 5%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 6 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Unspecified 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Immunology and Microbiology 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 6 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 July 2018.
All research outputs
#20,525,274
of 23,094,276 outputs
Outputs from BMC Genomics
#9,330
of 10,705 outputs
Outputs of similar age
#287,500
of 328,026 outputs
Outputs of similar age from BMC Genomics
#178
of 217 outputs
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