Evidence map›Paper›PMID 28539591›Full record

ArticleScientific reports2017

Characterization of the Adult Head Transcriptome and Identification of Migration and Olfaction Genes in the Oriental Armyworm Mythimna separate.

Hai-Xu Bian, Hong-Fang Ma, Xi-Xi Zheng, Ming-Hui Peng, Yu-Ping Li, Jun-Fang Su, Huan Wang, Qun Li, Run-Xi Xia, Yan-Qun Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
0.4field-weighted citation impact, top 47% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. TheHeliyon · 2019
    Article
  3. Article
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

11 authors at 3 institutions in 1 country.

Hai-Xu BianInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Hong-Fang MaInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Xi-Xi ZhengInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Ming-Hui PengInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Yu-Ping LiInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Jun-Fang SuSchool of Basic Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Huan WangInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Qun LiInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Run-Xi XiaInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China.
Yan-Qun LiuInsect Resource Center for Engineering and Technology of Liaoning Province, College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, China. liuyanqun@syau.edu.cn.ORCID 0000-0001-9025-1986
Xing-Fu JiangState Key laboratory for Biology of Plant Diseases and Insect Pest, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. xfjiang@ippcaas.cn.
Shenyang Agricultural University · CNGuangzhou University of Chinese Medicine · CNInstitute of Plant Protection · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The oriental armyworm Mythimna separate is an economically important insect with a wide distribution and strong migratory activity. However, knowledge about the molecular mechanisms regulating the physiological and behavioural responses of the oriental armyworm is scarce. In the present study, we took a transcriptomic approach to characterize the gene network in the adult head of M. separate. The sequencing and de novo assembly yielded 63,499 transcripts, which were further assembled into 46,459 unigenes with an N50 of 1,153 bp. In the head transcriptome data, unigenes involved in the 'signal transduction mechanism' are the most abundant. In total, 937 signal transduction unigenes were assigned to 22 signalling pathways. The circadian clock, melanin synthesis, and non-receptor protein of olfactory gene families were then identified, and phylogenetic analyses were performed with these M. separate genes, the model insect Bombyx mori and other insects. Furthermore, 1,372 simple sequence repeats of 2-6 bp in unit length were identified. The transcriptome data represent a comprehensive molecular resource for the adult head of M. separate, and these identified genes can be valid targets for further gene function research to address the molecular mechanisms regulating the migratory and olfaction genes of the oriental armyworm.

Indexed as

Sequence Analysis, DNAAnimal MigrationAnimalsComputational BiologyGene Expression RegulationHeadHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsMolecular Sequence AnnotationMothsPhylogenySmellTranscriptome

Identifiers

PMID28539591
PMCPMC5443819
OpenAlexW2614118326

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.