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Transcriptome and expression profiling analysis link patterns of gene expression to antennal responses in Spodoptera litura

Overview of attention for article published in BMC Genomics, April 2015
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Title
Transcriptome and expression profiling analysis link patterns of gene expression to antennal responses in Spodoptera litura
Published in
BMC Genomics, April 2015
DOI 10.1186/s12864-015-1375-x
Pubmed ID
Authors

Bo Feng, Xinda Lin, Kaidi Zheng, Kai Qian, Yongchang Chang, Yongjun Du

Abstract

The study of olfaction is key to understanding the interaction of insects with their environment and provides opportunities to develop novel tactics for control of pest species. Recent developments in transcriptomic approaches enable the molecular basis of olfaction to be studied even in species with limited genomic information. Here we use transcriptome and expression profiling analysis to characterize the antennal transcriptome of the noctuid moth and polyphagous pest Spodoptera litura. We identify 74 candidate genes involved in odor detection and recognition, encoding 26 ORs, 21 OBPs, 18 CSPs and 9 IRs. We examine their expression levels in both sexes and seek evidence for their function by relating their expression with levels of EAG response in male and female antennae to 58 host and non-host plant volatiles and sex pheromone components. The majority of olfactory genes showed sex-biased expression, usually male-biased in ORs. A link between OR gene expression and antennal responses to odors was evident, a third of the compounds tested evoking a sex-biased response, in every case also male-biased. Two candidate pheromone receptors, OR14 and OR23 were especially strongly expressed and male-biased and we suggest that these may respond to the two female sex pheromone components of S. litura, Z9E11-14:OAc and Z9E12-14:OAc, which evoked strongly male-biased EAG responses. Our results provide the molecular basis for elucidating the olfactory profile of moths and the sexual divergence of their behavior and could enable the targeting of particular genes, and behaviors for pest management.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 31%
Student > Ph. D. Student 5 19%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 65%
Biochemistry, Genetics and Molecular Biology 4 15%
Neuroscience 1 4%
Medicine and Dentistry 1 4%
Unknown 3 12%
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 26 February 2016.
All research outputs
#18,410,971
of 22,805,349 outputs
Outputs from BMC Genomics
#8,178
of 10,650 outputs
Outputs of similar age
#193,573
of 264,831 outputs
Outputs of similar age from BMC Genomics
#228
of 276 outputs
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