Evidence map›Paper›PMID 24618587›Full record

ArticlePloS one2014

Transcriptome analysis of silkworm, Bombyx mori, during early response to Beauveria bassiana challenges.

Chengxiang Hou, Guangxing Qin, Ting Liu, Tao Geng, Kun Gao, Zhonghua Pan, Heying Qian, Xijie Guo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
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  7. Article
  8. Quality Formation Mechanism of Stiff Silkworm,Molecules (Basel, Switzerland) · 2019
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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

8 authors at 3 institutions in 1 country.

Chengxiang HouSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China; Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China.
Guangxing QinSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China; Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China.
Ting LiuSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China; Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China.
Tao GengSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China.
Kun GaoSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China.
Zhonghua PanSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China.
Heying QianSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China; Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China.
Xijie GuoSericultural Research Institute, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China; Sericultural Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang, Jiangsu, China.
Sericultural Research Institute · CNJiangsu University of Science and Technology · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host-pathogen interactions are complex processes and it is a central challenge to reveal these interactions. Fungal infection of silkworm, Bombyx mori, may induce a variety of responsive reaction. However, little is known about the molecular mechanism of silkworm immune response against the fungal infection. To obtain an overview of the interaction between silkworm and an entomopathogenic fungus Beauveria bassiana, Digital Gene Expression profiling, a tag based high-throughput transcriptome sequencing method, was employed to screen and identify differentially expressed genes (DEGs, FDR ≤ 0.001, ∣log2ratio∣ ≥ 1) of silkworm larvae during early response against B. bassiana infection. Total 1430 DEGs including 960 up-regulated and 470 down-regulated ones were identified, of which 627 DEGs can be classified into GO categories by Gene Ontology (GO) analysis. KEGG pathways analysis of these DEGs suggested that many biological processes, such as defense and response, signal transduction, phagocytosis, regulation of gene expression, RNA splicing, biosynthesis and metabolism, protein transport etc. were involved in the interaction between the silkworm and B. bassiana. A number of differentially expressed fungal genes were also identified by mapping the sequencing tags to B. bassiana genome. These results provided new insights to the molecular mechanism of silkworm immune response to B. bassiana infection.

Indexed as

BeauveriaGene Expression ProfilingTranscriptomeAnimalsBombyxCluster AnalysisExpressed Sequence TagsGene Expression RegulationHost-Pathogen InteractionsReproducibility of ResultsSignal TransductionTime Factors

Identifiers

PMID24618587
PMCPMC3949756
OpenAlexW1981629119

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.