Shellfish Allergy Taking the Allergenomics Approach towards Improved Allergen Detection and Diagnostics

Food Allergy ◽  
2017 ◽  
pp. 205-224
Author(s):  
Sandip D. Kamath ◽  
Andreas L. Lopata
2020 ◽  
Vol 22 (1) ◽  
pp. 32
Author(s):  
Shaymaviswanathan Karnaneedi ◽  
Roger Huerlimann ◽  
Elecia B. Johnston ◽  
Roni Nugraha ◽  
Thimo Ruethers ◽  
...  

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 (Fenneropenaeus 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 glyceraldehyde-3-phosphate dehydrogenase (G3PD). Multiple sequence alignment (Clustal Omega) demonstrated 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.


2019 ◽  
Vol 102 (5) ◽  
pp. 1263-1270 ◽  
Author(s):  
Weili Xiong ◽  
Melinda A McFarland ◽  
Cary Pirone ◽  
Christine H Parker

Abstract Background: To effectively safeguard the food-allergic population and support compliance with food-labeling regulations, the food industry and regulatory agencies require reliable methods for food allergen detection and quantification. MS-based detection of food allergens relies on the systematic identification of robust and selective target peptide markers. The selection of proteotypic peptide markers, however, relies on the availability of high-quality protein sequence information, a bottleneck for the analysis of many plant-based proteomes. Method: In this work, data were compiled for reference tree nut ingredients and evaluated using a parsimony-driven global proteomics workflow. Results: The utility of supplementing existing incomplete protein sequence databases with translated genomic sequencing data was evaluated for English walnut and provided enhanced selection of candidate peptide markers and differentiation between closely related species. Highlights: Future improvements of protein databases and release of genomics-derived sequences are expected to facilitate the development of robust and harmonized LC–tandem MS-based methods for food allergen detection.


2018 ◽  
Vol 5 (4) ◽  
pp. 470-486
Author(s):  
Mariona Pascal ◽  
Sandip D. Kamath ◽  
Margaretha Faber

2018 ◽  
Vol 5 (1) ◽  
pp. HEP02 ◽  
Author(s):  
Zachary J Brown ◽  
Bernd Heinrich ◽  
Tim F Greten

Author(s):  
Hiroshi Akiyama ◽  
Shinobu Sakai ◽  
Reiko Adachi ◽  
Reiko Teshima
Keyword(s):  

2009 ◽  
Vol 92 (5) ◽  
pp. 1464-1471 ◽  
Author(s):  
Takashi Hirao ◽  
Satoshi Watanabe ◽  
Yusuke Temmei ◽  
Masayuki Hiramoto ◽  
Hisanori Kato

Abstract Allergen detection methods for peanut, soybean, and wheat were developed by designing PCR primer pairs for specific amplification of a fragment of the internal transcribed spacer (ITS) region reported for Arachis spp. for peanut, Glycine spp. for soybean, and Triticum and Aegilops spp. for wheat. The target species for detection included not only cultivated, but also wild and ancestor species, which were thought to be potentially allergenic. The ability of the resultant primer pairs to detect the target species was verified using genomic DNA extracted from A. hypogaea for peanut and G. max for soybean; T. aestivum, T. turgidum, T. durum, T. aestivum-rye amphidiploid, T. monococcum, T. timopheevi, Ae. speltoides, and Ae. squarrosa for wheat. The LODs were 50500 fg of target DNA, which were comparable to those of the most sensitive PCR methods previously reported. The results from the present work, as well as those from our previous work on buckwheat and kiwifruit, prove that the ITS region, for its high copy number and interspecific diversity, is particularly useful as the target of allergen detection methods.


Sign in / Sign up

Export Citation Format

Share Document