Transcriptomic Analysis of the Spleen from Asian Seabass (Lates calcarifer) Infected with Infectious Spleen and Kidney Necrosis Virus

Infectious spleen and kidney necrosis virus (ISKNV) is an emerging viral pathogen with an expanding host range, posing a significant threat to economically important fish species. In this study, we isolated the ISKNV strain responsible for disease outbreaks in Asian seabass (<i>Lates calcarifer</i>) and analyzed the transcriptomic profile of spleen tissues from experimentally infected fish. The phylogenetic analysis confirmed that the virus belongs to clade I of ISKNV. Next-generation sequencing identified differentially expressed genes, providing a comprehensive overview of the transcriptional landscape in the spleen of ISKNV-infected fish. The pathway analysis revealed complex host-virus interactions, impacting immune regulation, endocytosis, cell communication, cell cycle arrest, and programmed cell death. To further investigate these interactions, we analyzed relevant pathways in the Reactome database for Asian seabass, humans, and zebrafish, constructed a protein-protein interaction (PPI) network using STRING database, and identified hub genes using six different algorithms. This analysis revealed 69 key genes, including 41 hub genes and 28 key genes that connect different pathways or clusters within the PPI network. These findings provide new insights into the molecular mechanisms driving ISKNV infection in Asian seabass. Future research should focus on elucidating the regulatory functions of these key genes and their roles in ISKNV pathogenesis.

Authors

Institutions

Publication Details

Journal
Viruses
Published
2025-05-19
DOI
https://doi.org/10.3390/v17050728
Citations
1
Primary Topic
Animal Virus Infections Studies
Type
article
Field-Weighted Citation Impact
1.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptomic Analysis of the Spleen from Asian Seabass (Lates calcarifer) Infected with Infectious Spleen and Kidney Necrosis Virus

Hong-Yi Xin, Mookkan Prabakaran, Ying Liang, Lee Ching Pei Carmen
1 citations
Viruses
Animal Virus Infections Studies
1.19
article

Transcriptomic Analysis of the Spleen from Asian Seabass (Lates calcarifer) Infected with Infectious Spleen and Kidney Necrosis Virus

Hong-Yi Xin, Mookkan Prabakaran, Ying Liang, Lee Ching Pei Carmen
article en
1 citations

Abstract

Infectious spleen and kidney necrosis virus (ISKNV) is an emerging viral pathogen with an expanding host range, posing a significant threat to economically important fish species. In this study, we isolated the ISKNV strain responsible for disease outbreaks in Asian seabass (<i>Lates calcarifer</i>) and analyzed the transcriptomic profile of spleen tissues from experimentally infected fish. The phylogenetic analysis confirmed that the virus belongs to clade I of ISKNV. Next-generation sequencing identified differentially expressed genes, providing a comprehensive overview of the transcriptional landscape in the spleen of ISKNV-infected fish. The pathway analysis revealed complex host-virus interactions, impacting immune regulation, endocytosis, cell communication, cell cycle arrest, and programmed cell death. To further investigate these interactions, we analyzed relevant pathways in the Reactome database for Asian seabass, humans, and zebrafish, constructed a protein-protein interaction (PPI) network using STRING database, and identified hub genes using six different algorithms. This analysis revealed 69 key genes, including 41 hub genes and 28 key genes that connect different pathways or clusters within the PPI network. These findings provide new insights into the molecular mechanisms driving ISKNV infection in Asian seabass. Future research should focus on elucidating the regulatory functions of these key genes and their roles in ISKNV pathogenesis.

VirusesVol. 17(5)
Temasek Life Sciences Laboratory (SG), National University of Singapore (SG)
Temasek Life Sciences Laboratory
Life below water
Openalex Percentile: Top 25%
Animal Virus Infections Studies
1.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.