Evidence map›Paper›PMID 42301431›Full record

ArticleMarine biotechnology (New York, N.Y.)2026

Network Clustering Approach Reveals Key Proteins and Biological Functions in the Response of Whiteleg Shrimp (Penaeus vannamei) to Acute Hepatopancreatic Necrosis Disease.

Noorul Darlina Edlin Abd Rahim, Khor Waiho, Min Pau Tan, Yeong Yik Sung, Md Altaf-Ul-Amin, Shigehiko Kanaya, Zeti-Azura Mohamed-Hussein, Nor Afiqah-Aleng

Abstract read
PubMed Publisher
In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Noorul Darlina Edlin Abd RahimHigher Institution Centre of Excellence (HICoE), Institute of Climate Adaptation and Marine Biotechnology (ICAMB), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia.
Khor WaihoHigher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia.
Min Pau TanHigher Institution Centre of Excellence (HICoE), Institute of Climate Adaptation and Marine Biotechnology (ICAMB), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia.
Yeong Yik SungHigher Institution Centre of Excellence (HICoE), Institute of Climate Adaptation and Marine Biotechnology (ICAMB), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia.
Md Altaf-Ul-AminComputational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Shigehiko KanayaComputational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Zeti-Azura Mohamed-HusseinUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaacob Latiff, Cheras, Kuala Lumpur, 56000, Malaysia. zeti.hussein@ukm.edu.my.
Nor Afiqah-AlengHigher Institution Centre of Excellence (HICoE), Institute of Climate Adaptation and Marine Biotechnology (ICAMB), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia. afiqahaleng@umt.edu.my.

Funding

Ministry of Higher Education (MOHE), Malaysia Higher Institution Centre of Excellence (HICoE) Phase 1 (Vot No. 56071)Universiti Malaysia Terengganu SRG_NICHE/2025/UMT/5344, Vot No. 55597
6 · The paper itself

Abstract

Whiteleg shrimp, Penaeus vannamei, is the most cultured shrimp species worldwide and plays an important role in global aquaculture production, food security, and economic growth. Nonetheless, infectious diseases, including acute hepatopancreatic necrosis disease (AHPND), can severely threaten the sustainability of shrimp production. These impacts may also be exacerbated by climate-related environmental stressors, such as temperature and salinity, which further disrupt host metabolism and immunity. Although many shrimp genes have been reported in AHPND studies, the molecular interactions underlying host responses to this disease remain unclear. Therefore, this study aims to investigate the potential molecular mechanisms of AHPND by identifying sets of interacting proteins and associated biological functions using network clustering. The P. vannamei AHPND-related proteins (PvAHPNDrp) were identified via bibliomic analysis and used to construct the AHPND protein-protein interaction (PPI) network. The network was clustered using the DPClusO algorithm, and statistically enriched clusters were identified using the PvAHPNDrp distribution. Functional enrichment analysis was subsequently performed to determine the potential biological functions associated with AHPND mechanisms. The analysis identified significant clusters with interactions of PvAHPNDrp and non-PvAHPNDrp, including glutamine-, proline-, and tyrosine-tRNA ligases, and alpha-1,4-N-acetylglucosaminyltransferase. Enriched biological functions, such as aminoacyl-tRNA ligase activity and lipid metabolic process, may be associated with P. vannamei's response to AHPND. Collectively, this study provides a systems-level perspective on the molecular interaction networks associated with AHPND and identifies candidate proteins and functions for future experimental validation, contributing to improved understanding of disease mechanisms and supporting climate-resilient shrimp health management strategies.

Indexed as

Arthropod ProteinsHepatopancreasPenaeidaeAnimalsCluster AnalysisProtein Interaction MapsArthropod ProteinsAHPNDNetwork clustering analysisPathway analysisPenaeus vannameiProtein-protein interaction

Identifiers

What OpenQuestion holds

Textmetadata
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.