Evidence map›Paper›PMID 27620556›Full record

ArticleJournal of insect science (Online)2016

Transcriptomic Analysis of Eucryptorrhynchus chinensis (Coleoptera: Curculionidae) Using 454 Pyrosequencing Technology.

Zhen-Kai Liu, Jun-Bao Wen

Abstract read
In one paragraph

Article in Journal of insect science (Online), 2016. 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
–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

3 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Zhen-Kai LiuBeijing Key Laboratory of Forest Protection, College of Forestry, Beijing Forestry University, Beijing 100083, People's Republic of China (liuzhenkai@bjfu.edu.cn; bjfu_wenjb@163.com).
Jun-Bao WenBeijing Key Laboratory of Forest Protection, College of Forestry, Beijing Forestry University, Beijing 100083, People's Republic of China (liuzhenkai@bjfu.edu.cn; bjfu_wenjb@163.com) bjfu_wenjb@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eucryptorrhynchus chinensis Olivier (Coleoptera: Curculionidae) is one of the most important pests of Ailanthus altissima; however, so far, no studies on the genome or transcriptome of E. chinensis have been reported. Using the Roche 454 FLX Titanium platform, an RNA pool obtained from E. chinensis eggs, larva, pupae, and adults was sequenced and assembled de novo to achieve maximum diversity of sampled transcripts. We obtained 1,441,137 (∼518 Mb) raw reads with an average length of 360 bp. After trimming, 89% qualified reads were produced and assembled into 35,509 isotigs with an average length of 440 bp, N50 of 1,048 bp, and 111,643 singletons. We generated 87,894 unigenes following a cluster analysis of the isotigs and singletons, and then functionally annotated the unigenes with gene descriptions. We obtained 23,363 GO assignments, and 12,724 unigenes were assigned to KOG. Based on these annotations, 294 biochemical pathways involved in growth, reproduction, and stress or immune responses were predicted. A total of 659,026 single nucleotide variants and 6,112 simple sequence repeats were detected. Our data provide comprehensive information on the sequence and possible functions of E. chinensis transcripts.

Indexed as

TranscriptomeAnimalsFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingLarvaMalePupaWeevils454 pyrosequencingEucryptorrhynchus chinensismolecular markertranscriptome

Identifiers

PMID27620556
PMCPMC5019023

What OpenQuestion holds

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Registered trials

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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.