In silico tools to assess the potential allergenicity of shiitake mushrooms (Lentinula edodes). (20th September 2022)
- Record Type:
- Journal Article
- Title:
- In silico tools to assess the potential allergenicity of shiitake mushrooms (Lentinula edodes). (20th September 2022)
- Main Title:
- In silico tools to assess the potential allergenicity of shiitake mushrooms (Lentinula edodes)
- Authors:
- Vashisht, Srishti
Singh, Naresh
Sharma, Akansha
Saini, Neeru
Gaur, Shailendra Nath
Arora, Naveen - Abstract:
- Abstract: BACKGROUND: Computational tools may have an edge over conventional methods for the preliminary evaluation of food allergenicity. In this study, the allergenic potential of Lentinula edodes was evaluated and validated using in silico tools. RESULTS: The potential cross‐reactivity of mushroom proteins with fungal allergens was determined using sequence alignment – the Fast Alignment (FASTA) and Basic Local Alignment Search Tool (BLAST) algorithm. Eight L. edodes proteins were cross‐reactive with allergens from fungal origin, showing 52%–89% sequence identity using FASTA algorithm‐based alignment. The BLAST data were corroborated by percentage identity and query coverage. Physico‐chemical property‐based allergenicity was deciphered by AlgPred, Allermatch, and AllergenFP software, which predicted six out of eight proteins as potential allergens. Sequence alignment showed 66%–86% conservancy between mushroom protein and known fungal allergens. Secondary structure and amino acid composition supported structural affinity between query and fungal proteins. Three‐dimensional structures of five mushroom proteins were generated, quality assessed, and superimposed with fungal allergens, suggesting possible allergenicity of mushroom proteins. An enzyme‐linked immunosorbent assay (ELISA) demonstrated immunoglobulin E (IgE) binding in 13 out of 21 food‐hypersensitive patients' sera. CONCLUSION: In silico tools provide preliminary indications about the potential allergenicity andAbstract: BACKGROUND: Computational tools may have an edge over conventional methods for the preliminary evaluation of food allergenicity. In this study, the allergenic potential of Lentinula edodes was evaluated and validated using in silico tools. RESULTS: The potential cross‐reactivity of mushroom proteins with fungal allergens was determined using sequence alignment – the Fast Alignment (FASTA) and Basic Local Alignment Search Tool (BLAST) algorithm. Eight L. edodes proteins were cross‐reactive with allergens from fungal origin, showing 52%–89% sequence identity using FASTA algorithm‐based alignment. The BLAST data were corroborated by percentage identity and query coverage. Physico‐chemical property‐based allergenicity was deciphered by AlgPred, Allermatch, and AllergenFP software, which predicted six out of eight proteins as potential allergens. Sequence alignment showed 66%–86% conservancy between mushroom protein and known fungal allergens. Secondary structure and amino acid composition supported structural affinity between query and fungal proteins. Three‐dimensional structures of five mushroom proteins were generated, quality assessed, and superimposed with fungal allergens, suggesting possible allergenicity of mushroom proteins. An enzyme‐linked immunosorbent assay (ELISA) demonstrated immunoglobulin E (IgE) binding in 13 out of 21 food‐hypersensitive patients' sera. CONCLUSION: In silico tools provide preliminary indications about the potential allergenicity and cross‐reactivity of mushroom proteins. This approach may be used for the prelusive allergenicity assessment of allergen sources. © 2022 Society of Chemical Industry. … (more)
- Is Part Of:
- Journal of the science of food and agriculture. Volume 103:Number 2(2023)
- Journal:
- Journal of the science of food and agriculture
- Issue:
- Volume 103:Number 2(2023)
- Issue Display:
- Volume 103, Issue 2 (2023)
- Year:
- 2023
- Volume:
- 103
- Issue:
- 2
- Issue Sort Value:
- 2023-0103-0002-0000
- Page Start:
- 877
- Page End:
- 890
- Publication Date:
- 2022-09-20
- Subjects:
- food allergy -- mushroom allergy -- allergenicity assessment -- in silico allergenicity assessment -- IgE based allergenicity assessment
Food -- Periodicals
Agriculture -- Periodicals
664 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0010 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jsfa.12199 ↗
- Languages:
- English
- ISSNs:
- 0022-5142
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5055.000000
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British Library STI - ELD Digital store - Ingest File:
- 25109.xml