{"title":"Characterization of the spoilage microbial communities in plant-based meat alternatives during refrigerated storage.","authors":"Mehmet Dogan, David A Mann, Xiangyu Deng","doi":"10.1128/spectrum.01650-25","DOIUrl":null,"url":null,"abstract":"<p><p>Plant-based meat alternatives (PBMAs), primarily derived from pea or soy proteins, are gaining popularity and market share, yet their spoilage ecology remains understudied. To address this knowledge gap, we profiled the bacterial and fungal communities of 12 refrigerated PBMAs commonly sold in the United States (six pea-based meats [PBMs] and six soy-based meats [SBMs], each in ground and burger forms) during refrigerated shelf display and extended storage. Microbial loads rose rapidly and heterogeneously across products after in-store thawing and past sell-by dates, underscoring the need to handle PBMAs like any other highly perishable food, both in stores and at home. Soy and pea-based matrices exhibited distinct patterns of spoilage microbiota assemblage and succession, suggesting that the protein source shapes spoilage trajectories.IMPORTANCEOur findings highlight that spoilage of plant-based meat alternatives (PBMAs) is shaped by the protein source, with soy- and pea-based products exhibiting distinct microbial trajectories and acidity profiles driven by both ingredient composition and spoilage microbiota. Identification of these ingredient-associated spoilage patterns lays the foundation for tailored and precision spoilage management for PBMAs.</p>","PeriodicalId":18670,"journal":{"name":"Microbiology spectrum","volume":" ","pages":"e0165025"},"PeriodicalIF":3.8000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbiology spectrum","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1128/spectrum.01650-25","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Plant-based meat alternatives (PBMAs), primarily derived from pea or soy proteins, are gaining popularity and market share, yet their spoilage ecology remains understudied. To address this knowledge gap, we profiled the bacterial and fungal communities of 12 refrigerated PBMAs commonly sold in the United States (six pea-based meats [PBMs] and six soy-based meats [SBMs], each in ground and burger forms) during refrigerated shelf display and extended storage. Microbial loads rose rapidly and heterogeneously across products after in-store thawing and past sell-by dates, underscoring the need to handle PBMAs like any other highly perishable food, both in stores and at home. Soy and pea-based matrices exhibited distinct patterns of spoilage microbiota assemblage and succession, suggesting that the protein source shapes spoilage trajectories.IMPORTANCEOur findings highlight that spoilage of plant-based meat alternatives (PBMAs) is shaped by the protein source, with soy- and pea-based products exhibiting distinct microbial trajectories and acidity profiles driven by both ingredient composition and spoilage microbiota. Identification of these ingredient-associated spoilage patterns lays the foundation for tailored and precision spoilage management for PBMAs.
期刊介绍:
Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.