Publication Details

AFRICAN RESEARCH NEXUS

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Novel allergen discovery through comprehensive de novo transcriptomic analyses of five shrimp species

International Journal of Molecular Sciences, Volume 22, No. 1, Article 32, Year 2021

Shellfish allergy affects 2% of the world’s population and persists for life in most patients. The diagnosis of shellfish allergy, in particular shrimp, is challenging due to the similarity of allergenic proteins from other invertebrates. Despite the clinical importance of immunological cross-reactivity among shellfish species and between allergenic invertebrates such as dust mites, the underlying molecular basis is not well understood. Here we mine the complete transcriptome of five frequently consumed shrimp species to identify and compare allergens with all known allergen sources. The transcriptomes were assembled de novo, using Trinity, from raw RNA-Seq data of the whiteleg shrimp (Litopenaeus vannamei), black tiger shrimp (Penaeus monodon), banana shrimp (Fen-neropenaeus merguiensis), king shrimp (Melicertus latisulcatus), and endeavour shrimp (Metapenaeus endeavouri). BLAST searching using the two major allergen databases, WHO/IUIS Allergen Nomenclature and AllergenOnline, successfully identified all seven known crustacean allergens. The analyses revealed up to 39 unreported allergens in the different shrimp species, including heat shock protein (HSP), alpha-tubulin, chymotrypsin, cyclophilin, beta-enolase, aldolase A, and glyceralde-hyde-3-phosphate dehydrogenase (G3PD). Multiple sequence alignment (Clustal Omega) demon-strated high homology with allergens from other invertebrates including mites and cockroaches. This first transcriptomic analyses of allergens in a major food source provides a valuable resource for investigating shellfish allergens, comparing invertebrate allergens and future development of improved diagnostics for food allergy. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Statistics
Citations: 12
Authors: 5
Affiliations: 5
Identifiers
Research Areas
Food Security
Study Design
Cross Sectional Study