Proteomic Mapping of Allergenic Proteins Reveals Key Differences Between Black Tiger Prawn ( <i>Penaeus monodon</i> ) and White Leg Prawn ( <i>Litopenaeus vannamei</i> )

, WLP) dominate global consumption. Here, label-free shotgun proteomics combined with in-silico allergenicity prediction was applied to identify and compare the allergen profiles of BTP and WLP. Raw prawn extracts were analyzed by LC-MS/MS, and allergens were identified and predicted using AllerCatPro. The relative abundance of allergens was assessed using iBAQ%, and the differential abundance was evaluated using LFQ intensity. Although allergens accounted for only ∼4% of identified proteins, they represented 34-38% of total protein abundance, highlighting their immunological relevance. Myosin light chain was the most abundant allergen, followed by arginine kinase, sarcoplasmic calcium-binding protein, and tropomyosin in both species. Four low-abundance proteins were identified as novel allergen candidates. Notable differences in allergen profiles between the two species were observed at the level of allergen orthologs, isoforms, and variants, with nine uniquely identified in BTP and seven in WLP. Together, these findings reveal species-specific variations with implications for improved diagnostic strategies, therapeutic approaches, and allergen detection methods for shellfish allergy.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2026-06-09
DOI
https://doi.org/10.1021/acs.jproteome.5c01289
Primary Topic
Aquaculture disease management and microbiota
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Proteomic Mapping of Allergenic Proteins Reveals Key Differences Between Black Tiger Prawn ( Penaeus monodon ) and White Leg Prawn ( Litopenaeus vannamei )

Thimo Ruethers, Roni Nugraha, Varsha Balu, Shaymaviswanathan Karnaneedi et al.
Journal of Proteome Research
Aquaculture disease management and microbiota
article

Proteomic Mapping of Allergenic Proteins Reveals Key Differences Between Black Tiger Prawn ( Penaeus monodon ) and White Leg Prawn ( Litopenaeus vannamei )

Thimo Ruethers, Roni Nugraha, Varsha Balu, Shaymaviswanathan Karnaneedi, Janitha Iddagoda, Andreas L. Lopata, R Chin, Nicholas A. Williamson, Michael G. Leeming
article en

Abstract

, WLP) dominate global consumption. Here, label-free shotgun proteomics combined with in-silico allergenicity prediction was applied to identify and compare the allergen profiles of BTP and WLP. Raw prawn extracts were analyzed by LC-MS/MS, and allergens were identified and predicted using AllerCatPro. The relative abundance of allergens was assessed using iBAQ%, and the differential abundance was evaluated using LFQ intensity. Although allergens accounted for only ∼4% of identified proteins, they represented 34-38% of total protein abundance, highlighting their immunological relevance. Myosin light chain was the most abundant allergen, followed by arginine kinase, sarcoplasmic calcium-binding protein, and tropomyosin in both species. Four low-abundance proteins were identified as novel allergen candidates. Notable differences in allergen profiles between the two species were observed at the level of allergen orthologs, isoforms, and variants, with nine uniquely identified in BTP and seven in WLP. Together, these findings reveal species-specific variations with implications for improved diagnostic strategies, therapeutic approaches, and allergen detection methods for shellfish allergy.

Journal of Proteome Research
Agency for Science, Technology and Research (SG), European Medicines Agency (NL), The University of Melbourne (AU), Star Technology and Research (United States) (US), James Cook University Singapore (SG), Centre for Sustainable Energy (GB), Agricultural Genetic Engineering Research Institute (EG), Murdoch Children's Research Institute (AU), James Cook University (AU)
James Cook University
Life below water
Openalex Percentile: Top 10%
Aquaculture disease management and microbiota
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.