Evidence map›Paper›PMID 25922623›Full record

ArticleGut pathogens2015

RNA-seq analysis of Macrobrachium rosenbergii hepatopancreas in response to Vibrio parahaemolyticus infection.

Rama Rao, Ya Bing Zhu, Tahereh Alinejad, Suma Tiruvayipati, Kwai Lin Thong, Jun Wang, Subha Bhassu

Open access · goldAbstract read
In one paragraph

Article in Gut pathogens, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.8field-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

19 citing papers in PubMed, 86 citations in OpenAlex.

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  14. Frontiers in genetics · 2018
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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

7 authors at 2 institutions in 2 countries.

Rama RaoGenomic Research and Breeding Laboratory and Centre for Research in Biotechnology for Agriculture (CEBAR), Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Ya Bing ZhuBeijing Genomics Institute, Shenzhen, 11th Floor, Main Building, Beishan, Industrial Zone, Yantian District, Shenzhen, 518083 China.
Tahereh AlinejadGenomic Research and Breeding Laboratory and Centre for Research in Biotechnology for Agriculture (CEBAR), Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Suma TiruvayipatiGenomic Research and Breeding Laboratory and Centre for Research in Biotechnology for Agriculture (CEBAR), Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Kwai Lin ThongMicrobiology Unit, Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Jun WangBeijing Genomics Institute, Shenzhen, 11th Floor, Main Building, Beishan, Industrial Zone, Yantian District, Shenzhen, 518083 China.
Subha BhassuGenomic Research and Breeding Laboratory and Centre for Research in Biotechnology for Agriculture (CEBAR), Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia.
University of Malaya · MYBGI Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Malaysian giant freshwater prawn, Macrobrachium rosenbergii, is an economically important crustacean worldwide. However, production of this prawn is facing a serious threat from Vibriosis disease caused by Vibrio species such as Vibrio parahaemolyticus. Unfortunately, the mechanisms involved in the immune response of this species to bacterial infection are not fully understood. We therefore used a high-throughput deep sequencing technology to investigate the transcriptome and comparative expression profiles of the hepatopancreas from this freshwater prawn infected with V. parahaemolyticus to gain an increased understanding of the molecular mechanisms underlying the species' immune response to this pathogenic bacteria.

resultA total of 59,122,940 raw reads were obtained from the control group, and 58,385,094 reads from the Vibrio-infected group. Via de novo assembly by Trinity assembler, 59,050 control unigenes and 73,946 Vibrio-infected group unigenes were obtained. By clustering unigenes from both libraries, a total of 64,411 standard unigenes were produced. The standard unigenes were annotated against the NCBI non-redundant, Swiss-Prot, Kyoto Encyclopaedia of Genes and Genome pathway (KEGG) and Orthologous Groups of Proteins (COG) databases, with 19,799 (30.73%), 16,832 (26.13%), 14,706 (22.83%) and 7,856 (12.19%) hits respectively, giving a final total of 22,455 significant hits (34.86% of all unigenes). A Gene Ontology (GO) analysis search using the Blast2GO program resulted in 6,007 unigenes (9.32%) being categorized into 55 functional groups. A differential gene expression analysis produced a total of 14,569 unigenes aberrantly expressed, with 11,446 unigenes significantly up-regulated and 3,103 unigenes significantly down-regulated. The differentially expressed immune genes fall under various processes of the animal immune system.

conclusionThis study provided an insight into the antibacterial mechanism in M. rosenbergii and the role of differentially expressed immune genes in response to V. parahaemolyticus infection. Furthermore, this study has generated an abundant list of transcript from M.rosenbergii which will provide a fundamental basis for future genomics research in this field.

Indexed as

de novo assemblyHost-pathogen interactionImmune genesMacrobrachium rosenbergiiTranscriptomicsVibrio parahaemolyticus

Identifiers

PMID25922623
PMCPMC4411767
OpenAlexW2127211533

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.