Evidence map›Paper›PMID 26981394›Full record

ArticleGenomics data2016

Transcriptome response to copper heavy metal stress in hard-shelled mussel (Mytilus coruscus).

Meiying Xu, Lihua Jiang, Kang-Ning Shen, Changwen Wu, Guangyuan He, Chung-Der Hsiao

Abstract read
In one paragraph

Article in Genomics data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Meiying XuThe Key Laboratory of Molecular Biophysics of Ministry of Education, Huazhong University of Science and Technology (HUST), Luoyo Road 1037, Wuhan 430074, China; National Engineering Research Center of Marine Facilities Aquaculture, College of Marine Science, Zhejiang Ocean University, Zhoushan 316022, China.
Lihua JiangNational Engineering Research Center of Marine Facilities Aquaculture, College of Marine Science, Zhejiang Ocean University, Zhoushan 316022, China.
Kang-Ning ShenCenter of Excellence for the Oceans, National Taiwan Ocean University, Keelung 20224, Taiwan.
Changwen WuNational Engineering Research Center of Marine Facilities Aquaculture, College of Marine Science, Zhejiang Ocean University, Zhoushan 316022, China.
Guangyuan HeThe Key Laboratory of Molecular Biophysics of Ministry of Education, Huazhong University of Science and Technology (HUST), Luoyo Road 1037, Wuhan 430074, China.
Chung-Der HsiaoDepartment of Bioscience Technology, Chung Yuan Christian University, Chung-Li 32023, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hard-shelled mussel (Mytilus coruscus) has considerably one of the most economically important marine shellfish worldwide and considered as a good invertebrate model for ecotoxicity study for a long time. In the present study, we used Illumina sequencing technology (HiSeq2000) to sequence, assemble and annotate the transcriptome of the hard-shelled mussel which challenged with copper pollution. A total of 21,723,913 paired-end clean reads (NCBI SRA database SRX1411195) were generated from HiSeq2000 sequencer and 96,403 contigs (with N50 = 1118 bp) were obtained after de novo assembling with Trinity software. Digital gene expression analysis reveals 1156 unigenes are upregulated and 1681 unigenes are downregulated when challenged with copper. By KEGG pathway enrichment analysis, we found that unigenes in four KEGG pathways (aminoacyl-tRNA biosynthesis, apoptosis, DNA replication and mismatch repair) show significant differential expressed between control and copper treated groups. We hope that the gill transcriptome in copper treated hard-shelled mussel can give useful information to understand how mussel handles with heavy metal stress at molecular level.

Indexed as

EcotoxicityHard-shelled musselHeavy metalTranscriptome

Identifiers

PMID26981394
PMCPMC4778646

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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.