ArticleFrontiers in cellular and infection microbiology2023
Shotgun-metagenomics reveals a highly diverse and communal microbial network present in the drains of three beef-processing plants.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Environmental Biofilms in Livestock Production Systems: Reservoirs of Pathogens and Antimicrobial Resistance.Life (Basel, Switzerland) · 2026Review
- Unraveling the Coevolutionary Dynamics of Phage and Bacterial Protein Warfare Occurring in the Drains of Beef-Processing Plants.Microorganisms · 2026Article
- Identification and analysis of the crucial holin domain and sites and the bactericidal activity of a holin-endolysin lysis cassette from phage PZL-Ah152 againstJournal of virology · 2026Article
- Review
- Microbiome Diversity in Seafood Factories via Next-Generation Sequencing for Food Safety Management System (FSMS) Certifications in Malaysia.Foods (Basel, Switzerland) · 2025Article
- Residence Time Structures Microbial Communities Through Niche Partitioning.Ecology letters · 2025Article
- Repeated biocide treatments cause changes to the microbiome of a food industry floor drain biofilm model.Frontiers in microbiology · 2025Article
- Characterization of multispecies microbial communities at beef and pork processing plants and their impact on pathogen stress tolerance.Frontiers in microbiology · 2025Article
- Hidden Places for Foodborne Bacterial Pathogens and Novel Approaches to Control Biofilms in the Meat Industry.Foods (Basel, Switzerland) · 2024Review
- Impact of intense sanitization on environmental biofilm communities and the survival ofFrontiers in microbiology · 2024Article
- Impact of intense sanitization procedures on bacterial communities recovered from floor drains in pork processing plants.Frontiers in microbiology · 2024Article
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5 authors.
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Abstract
Background: Multi-species biofilms pose a problem in various environments, especially food-processing environments. The diversity of microorganisms in these biofilms plays a critical role in their integrity and protection against external biotic and abiotic factors. Compared to single-species biofilms, mixed-species biofilms are more resistant to various stresses, including antimicrobials like sanitizers. Therefore, understanding the microbiome composition and diversity in biofilms and their metabolic potential is a priority when developing intervention techniques to combat foodborne pathogens in food processing environments. Methods: This study aimed to describe and compare the microbiome profile of 75 drain biofilm samples obtained from five different locations (Hotscale, Hotbox, Cooler, Processing, & Grind room) of three beef-processing plants (Plant A, B & C) taken over two timepoints 2017-18 (T1) and 2021 (T2) by shotgun sequencing. Results: Core microbiome analysis found Pseudomonas, Psychrobacter, and Acinetobacter to be the top three prevalent genera among the plants and locations. Alpha diversity analysis demonstrated a high diversity of microbiome present in all the plants and locations across the time points. Functional analysis showed the high metabolic potential of the microbial community with abundance of genes in metabolism, cell-adhesion, motility, and quorum sensing. Moreover, Quaternary Ammonium Compound (QAC) resistance genes were also observed, this is significant as QAC sanitizers are commonly used in many food processing facilities. Multi-functional genes such as transposases, polymerases, permeases, flagellar proteins, and Mobile Genetic Elements (MGEs) were found suggesting these are dynamic microbial communities that work together to protect themselves against environmental stresses through multiple defense mechanisms. Conclusion: This study provides a framework for understanding the collective microbial network spanning a beef processing system. The results can be used to develop intervention strategies to best control these highly communicative microbial networks.
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