Evidence map›Paper›PMID 31534145›Full record

ArticleScientific reports2019

Temporal changes in transcriptome profile provide insights of White Spot Syndrome Virus infection in Litopenaeus vannamei.

Luca Peruzza, M S Shekhar, K Vinaya Kumar, A Swathi, K Karthic, Chris Hauton, K K Vijayan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Comparative Transcriptomic Analysis of WSSV-ChallengedInternational journal of molecular sciences · 2024
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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 3 institutions in 2 countries.

Luca PeruzzaSchool of Ocean and Earth Science, University of Southampton, Hampshire, SO14 3ZH, United Kingdom. luca.peruzza@soton.ac.uk.ORCID http://orcid.org/0000-0001-5001-8653
M S ShekharGenetics and Biotechnology Unit, Central Institute of Brackishwater Aquaculture, 75 Santhome High Road, R.A. Puram, Chennai, 600004, Tamil Nadu, India.
K Vinaya KumarGenetics and Biotechnology Unit, Central Institute of Brackishwater Aquaculture, 75 Santhome High Road, R.A. Puram, Chennai, 600004, Tamil Nadu, India.
A SwathiGenetics and Biotechnology Unit, Central Institute of Brackishwater Aquaculture, 75 Santhome High Road, R.A. Puram, Chennai, 600004, Tamil Nadu, India.
K KarthicGenetics and Biotechnology Unit, Central Institute of Brackishwater Aquaculture, 75 Santhome High Road, R.A. Puram, Chennai, 600004, Tamil Nadu, India.
Chris HautonSchool of Ocean and Earth Science, University of Southampton, Hampshire, SO14 3ZH, United Kingdom.
K K VijayanGenetics and Biotechnology Unit, Central Institute of Brackishwater Aquaculture, 75 Santhome High Road, R.A. Puram, Chennai, 600004, Tamil Nadu, India.
Central Institute of Brackishwater Aquaculture · INNational Oceanography Centre · GBUniversity of Southampton · GB

Funding

Biotechnology and Biological Sciences Research Council BB/N005058/1
6 · The paper itself

Abstract

Shrimp aquaculture is severely affected by WSSV. Despite an increasing effort to understand host/virus interaction by characterizing changes in gene expression (GE) following WSSV infection, the majority of published studies have focussed on a single time-point, providing limited insight on the development of host-pathogen interaction over the infection cycle. Using RNA-seq, we contrasted GE in gills of Litopenaeus vannamei at 1.5, 18 and 56 hours-post-infection (hpi), between WSSV-challenged and control shrimps. Time course analysis revealed 5097 differentially expressed genes: 63 DEGs were viral genes and their expression in WSSV group either peaked at 18 hpi (and decreased at 56 hpi) or increased linearly up to 56 hpi, suggesting a different role played by these genes during the course of infection. The remaining DEGs showed that WSSV altered the expression of metabolic, immune, apoptotic and cytoskeletal genes and was able to inhibit NF-κB and JAK/STAT pathways. Interestingly, GE changes were not consistent through the course of infection but were dynamic with time, suggesting the complexity of host-pathogen interaction. These data offer novel insights into the cellular functions that are affected during the course of infection and ultimately provide a valuable resource towards our understanding of the host-pathogen dynamics and its variation with time.

Indexed as

AnimalsAquacultureDecapodaGenes, ViralGillsHost-Pathogen InteractionsImmunity, InnateInfectionsLongitudinal StudiesPenaeidaeTranscriptomeWhite spot syndrome virus 1

Identifiers

PMID31534145
PMCPMC6751192
OpenAlexW2974100073

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.