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Shaheen N, Hossen MS, Akhter KT, Halima O, Hasan MK, Wahab A, Gamagedara S, Bhargava K, Holmes T, Najar FZ, Khandaker M, Peng Z, Yang Z, Ahsan N. Comparative Seed Proteome Profile Reveals No Alternation of Major Allergens in High-Yielding Mung Bean Cultivars. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024. [PMID: 38836763 DOI: 10.1021/acs.jafc.4c01054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
Mung bean contains up to 32.6% protein and is one of the great sources of plant-based protein. Because many allergens also function as defense-related proteins, it is important to determine their abundance levels in the high-yielding, disease-resistant cultivars. In this study, for the first time, we compared the seed proteome of high-yielding mung bean cultivars developed by a conventional breeding approach. Using a label-free quantitative proteomic platform, we successfully identified and quantified a total of 1373 proteins. Comparative analysis between the high-yielding disease-resistant cultivar (MC5) and the other three cultivars showed that a total of 69 common proteins were significantly altered in their abundances across all cultivars. Bioinformatic analysis of these altered proteins demonstrated that PDF1 (a defensin-like protein) exhibited high sequence similarity and epitope matching with the established peanut allergens, indicating a potential mung bean allergen that showed a cultivar-specific response. Conversely, known mung bean allergen proteins such as PR-2/PR-10 (Vig r 1), Vig r 2, Vig r 4, LTP1, β-conglycinin, and glycinin G4 showed no alternation in the MC5 compared to other cultivars. Taken together, our findings suggest that the known allergen profiles may not be impacted by the conventional plant breeding method to develop improved mung bean cultivars.
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Affiliation(s)
- Nazma Shaheen
- Institute of Nutrition and Food Science, University of Dhaka, Dhaka 1000, Bangladesh
| | - Md Sujan Hossen
- Bangladesh Council of Scientific and Industrial Research, Dhaka 1205, Bangladesh
| | - Kazi Turjaun Akhter
- Institute of Nutrition and Food Science, University of Dhaka, Dhaka 1000, Bangladesh
| | - Oumma Halima
- Institute of Nutrition and Food Science, University of Dhaka, Dhaka 1000, Bangladesh
| | - Md Kamrul Hasan
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Asfia Wahab
- Department of Biology, University of York, York YO10, U.K
| | - Sanjeewa Gamagedara
- Department of Chemistry, University of Central Oklahoma, Edmond, Oklahoma 73034, United States
| | - Kanika Bhargava
- Department of Human Environmental Sciences, University of Central Oklahoma, Edmond, Oklahoma 73034, United States
| | - Tawni Holmes
- Department of Human Environmental Sciences, University of Central Oklahoma, Edmond, Oklahoma 73034, United States
| | - Fares Z Najar
- High-Performance Computing Center, Oklahoma State University, Stillwater, Oklahoma 74078, United States
| | - Morshed Khandaker
- Nanobiology Laboratory, School of Engineering, University of Central Oklahoma, Edmond, Oklahoma 73034, United States
| | - Zongkai Peng
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Zhibo Yang
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Nagib Ahsan
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma 73019, United States
- Mass Spectrometry, Proteomics and Metabolomics Core Facility, Stephenson Life Sciences Research Center, The University of Oklahoma, Norman, Oklahoma 73019, United States
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Bianco M, Ventura G, Calvano CD, Losito I, Cataldi TRI. Food allergen detection by mass spectrometry: From common to novel protein ingredients. Proteomics 2023; 23:e2200427. [PMID: 37691088 DOI: 10.1002/pmic.202200427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023]
Abstract
Food allergens are molecules, mainly proteins, that trigger immune responses in susceptible individuals upon consumption even when they would otherwise be harmless. Symptoms of a food allergy can range from mild to acute; this last effect is a severe and potentially life-threatening reaction. The European Union (EU) has identified 14 common food allergens, but new allergens are likely to emerge with constantly changing food habits. Mass spectrometry (MS) is a promising alternative to traditional antibody-based assays for quantifying multiple allergenic proteins in complex matrices with high sensitivity and selectivity. Here, the main allergenic proteins and the advantages and drawbacks of some MS acquisition protocols, such as multiple reaction monitoring (MRM) and data-dependent analysis (DDA) for identifying and quantifying common allergenic proteins in processed foodstuffs are summarized. Sections dedicated to novel foods like microalgae and insects as new sources of allergenic proteins are included, emphasizing the significance of establishing stable marker peptides and validated methods using database searches. The discussion involves the in-silico digestion of allergenic proteins, providing insights into their potential impact on immunogenicity. Finally, case studies focussing on microalgae highlight the value of MS as an effective analytical tool for ensuring regulatory compliance throughout the food control chain.
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Affiliation(s)
- Mariachiara Bianco
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Giovanni Ventura
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Cosima D Calvano
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Ilario Losito
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Tommaso R I Cataldi
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
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Perkons I, Varunjikar MS, Rasinger JD. Unveiling the potential of proteomics in addressing food and feed safety challenges. EFSA J 2023; 21:e211013. [PMID: 38047126 PMCID: PMC10687763 DOI: 10.2903/j.efsa.2023.e211013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023] Open
Abstract
The food and feed sector in Europe is rapidly evolving to address contemporary challenges, striving for fairer, safer, greener and more sustainable food systems. This includes the exploration of new protein sources for human consumption and animal feed such as protein derived from insects, algae or novel plant-derived proteins, and the re-evaluation of existing sources like processed animal protein (PAP). To generate reliable data on the diverse array of emerging protein sources for future food and feed safety assessments, a growing demand for the development and implementation of advanced analytical techniques exists. New approach methodologies (NAMs) including, mass spectrometry (MS)-based proteomics methods have been emerging as valuable techniques which potentially can be implemented in regulatory laboratory settings to complement conventional approaches in this realm. These MS-driven strategies have already proven their utility in diverse applications, including the detection of prohibited substances in feed, identification of allergens, differentiation of fish species in complex mixtures for fraud detection and the verification of novel foods and alternative protein sources. This EU-FORA programme was focused on three core objectives namely: (i) the training of the fellow in utilising MS-based proteomics for food and feed safety analyses, (ii) the involvement of the fellow in the development of standardised operating procedures (SOP) for targeted and non-targeted proteomic MS-based workflows for species and tissues specific PAP identification in a national reference laboratory (NRL) and (iii) the transfer and implementation of MS-based approaches and standardised protocols for PAP analysis at the fellow's home institution. Altogether, this programme facilitates the broadening and diversification of use of MS-based proteomic methodologies for reinforcing their significance within the domains of food and feed safety research and regulatory science applications.
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Affiliation(s)
- Ingus Perkons
- Institute of Food SafetyAnimal Health and Environment ‘BIOR’, RigaLatvia
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