Evidence map›Paper›PMID 25887537›Full record

ArticleBMC genomics2015

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

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

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Transcriptome Profiling ofInternational journal of molecular sciences · 2025
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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

6 authors.

Bo FengInstitute of Health and Environmental Ecology, Wenzhou Medical University, University Town, Wenzhou, 325035, China. fb820529@aliyun.com.
Xinda LinCollege of Life Sciences, China Jiliang University, Hangzhou, Zhejiang, 310018, China. linxinda@cjlu.edu.cn.
Kaidi ZhengInstitute of Health and Environmental Ecology, Wenzhou Medical University, University Town, Wenzhou, 325035, China. z_kd2004@126.com.
Kai QianInstitute of Health and Environmental Ecology, Wenzhou Medical University, University Town, Wenzhou, 325035, China. kai0410003@163.com.
Yongchang ChangDivision of Neurobiology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA. Yongchang.Chang@DignityHealth.org.
Yongjun DuInstitute of Health and Environmental Ecology, Wenzhou Medical University, University Town, Wenzhou, 325035, China. dyj@wzmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

resultsWe 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.

conclusionsOur 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.

Indexed as

TranscriptomeAnimalsArthropod AntennaeFemaleGene Expression ProfilingGene Expression RegulationInsect ProteinsMaleReal-Time Polymerase Chain ReactionReceptors, OdorantRNASequence Analysis, RNASex AttractantsSpodopteraInsect ProteinsReceptors, OdorantRNASex Attractants

Identifiers

PMID25887537
PMCPMC4502548

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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.