Driving forces shaping the microbial ecology in meat packing plants

Front Microbiol. 2024 Jan 23:14:1333696. doi: 10.3389/fmicb.2023.1333696. eCollection 2023.

Abstract

Meat production is a complex system, continually receiving animals, water, air, and workers, all of which serve as carriers of bacteria. Selective pressures involved in different meat processing stages such as antimicrobial interventions and low temperatures, may promote the accumulation of certain residential microbiota in meat cutting facilities. Bacteria including human pathogens from all these sources can contaminate meat surfaces. While significant advancements have been made in enhancing hygienic standards and pathogen control measures in meat plants, resulting in a notable reduction in STEC recalls and clinical cases, STEC still stands as a predominant contributor to foodborne illnesses associated with beef and occasionally with pork. The second-and third-generation sequencing technology has become popular in microbiota related studies and provided a better image of the microbial community in the meat processing environments. In this article, we reviewed the potential factors influencing the microbial ecology in commercial meat processing facilities and conducted a meta-analysis on the microbiota data published in the last 10 years. In addition, the mechanisms by which bacteria persist in meat production environments have been discussed with a focus on the significant human pathogen E. coli O157:H7 and generic E. coli, an indicator often used for the hygienic condition in food production.

Keywords: Shiga toxin-producing Escherichia coli; beef; biofilm; meat processing facilities; microbiota; persistent bacteria; pork; sequencing.

Publication types

  • Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. PZ acknowledges the library funding for publication provided by Colorado State University. XY acknowledges funding support from Beef Cattle Research Council and Results Driven Agricultural Research (FOS.01.21 and 2022F027R). CN-B acknowledges funding support from Beef Cattle Research Council (FOS.04.18).