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EDITORIAL article

Front. Microbiol., 08 November 2024
Sec. Food Microbiology
This article is part of the Research Topic How the Application of Antimicrobial Hurdles in Meat Processing Facilities Shapes Microbial Ecology View all 6 articles

Editorial: How the application of antimicrobial hurdles in meat processing facilities shapes microbial ecology

  • 1Agriculture and Agri-Food Canada Lacombe Research and Development Centre, Lacombe, AB, Canada
  • 2Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
  • 3U.S Meat Animal Research Center, Agricultural Research Service (USDA), Clay Center, NE, United States

Meat production, i.e. converting livestock into meat, is a complex process, not only in that it has many steps in the process, but also in that facility has a flow of animals, water, air, and workers, all of which serve as carriers of bacteria. Livestock, for instance, may harbor up to 1011 CFU/g feces (Dowd et al., 2008) and up to 1010 CFU/cm2 bacteria on their hides (Yang, 2017). Some of those bacteria are human pathogens, without causing overt disease in their animal host such as Shiga toxin-producing Escherichia coli (STEC), Salmonella, or Campylobacter. A high proportion of healthy animals presented for slaughter may carry these pathogens on their hides/skin or in their intestines or lymph nodes (Zhang et al., 2024; Arthur et al., 2007). Consequently, antimicrobial interventions such as spraying hide- on carcasses with sodium hydroxide, pasteurizing carcasses with hot water and spraying carcasses with various organic acids have been widely implemented in the carcasses dressing process to control pathogens (Gill, 2009; Loretz et al., 2011). Many studies have evaluated the efficacy of these treatments for pathogen reduction and hygiene indicators. However, in addition to these antimicrobial interventions, other factors also play important roles in shaping the microbial ecology in meat processing environment by exerting selective pressure, including but not limited to operation temperatures, relative humidity, routine cleaning and sanitation of the facility, and difficult to access places by cleaning effort in equipment. This Research Topic collected five articles that add to our understanding of how antimicrobial hurdles shape the microbial ecology in meat processing facilities and meat products as well as their relationship with antimicrobial resistance.

Shiga toxin producing genes in E. coli are encoded on prophages integrated into the bacterial chromosome (Ohnishi et al., 2001). The production of Shiga toxins can be induced as a response to stressful conditions. Castro et al. investigated the potential of 48 E. coli isolates with intact or fragmented stx1a for Shiga toxin production under conditions relevant to foods. Production of Shiga toxins was observed only for E. coli isolates that carried the complete stx gene (n = 11). They reported down-regulation of the toxin production by acidic conditions and lethal temperatures, and favorable toxin production by neutral pH and milk, and incubation at 40°C for some strains, the latter of which may be linked to a greater diversity of the promotor regions of Stx-prophages, and of genes related to cell adhesion and stress tolerance.

Dittoe et al. examined the effect of treating raw poultry products with organic and inorganic acids on the meat microbiota. They reported that chicken wings treated by a 15-s dip in organic acid (peroxyacetic acid; PAA), inorganic acid (sodium bisulfate; SBS), or their combination (PAA + SBS) had similar total bacterial count by 21 days of chiller storage. However, wings treated with SBS and SBS+PAA had a 7-day shelf life advantage over wings that were treated with tap water, and the treated wings had lower relative abundance of typical spoilage populations while having a greater relative abundance of Bacillus spp. These findings suggest that antimicrobial interventions differentially affect the meat microbiota and that desirable shifts in the composition of microbial communities on meat can be exploited for shelf life advantage.

Yang et al. 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. Some E. coli strains achieved persistence on post-sanitation equipment surface, likely through biofilm formation and difficult to clean harborage site, rather than resistance to biocides of their planktonic cultures. The authors also reported the persistence of diverse bacteria in meat plants in genus level, Pseudomonas, Acinetobacter, Psychrobacter, Sphingomonas, Enterococcus, Proteus, Staphylococcus, BurkholderiaCaballeronia-Paraburkholderia, Acidovorax, and Brevundimonas (Figure 1). These non-pathogenic bacterial strains may also enhance the biofilm formation of foodborne pathogens who otherwise do not form biofilms on their own, suggesting targeted cleaning and sanitizing efforts against residential microbiota may be rewarding in both safety and storage stability of meat products.

Figure 1
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Figure 1. Diversity of persistent bacterial genera in processing plants. (A) The relative abundance of bacterial genera in different functional rooms (RA, room after cleaning and sanitation); (B) Principal coordinate analysis (PCoA) plot distinguished with room numbers. This is adapted from Yang et al.

Koti et al. investigated the impact of temperature and companion bacteria including lactic acid bacteria (Carnobacterium piscola and Lactobacillus delbrueckii subsp. bulgaricus) and spoilage bacteria (Comamonas koreensis, Raoultella terrigena, and Pseudomonas aeruginosa) on the susceptibility to biocides of STEC in planktonic cultures as well as in biofilms. In general, planktonic cultures and single species biofilms exhibited greater susceptibility to all biocides tested (quaternary ammonium compounds, sodium hypochlorite, sodium hydroxide, hydrogen peroxide, BioDestroy). Interestingly, all STEC strains tested had higher counts in multispecies biofilms with Raoultella sp. and Comamonas sp. than with Carnobacterium sp. and Lactobacillus sp. or Pseudomonas sp. and Comamonas sp. The extent of reduction of STEC by biocides is a function of temperature, the companion bacterial strain as well as the STEC strain.

Pathogen contamination incidence in the meat industry is often addressed by intense sanitization (IS) of the entire processing plant. Wang et al. examined the immediate and long-term impact of such sanitation on the environmental microbial community and pathogen colonization. They reported that even though the colonization of Salmonella in drains did not differ between pre- and post-IS biofilms, post-IS samples formed stronger biofilms and in certain cases resulted in better Salmonella survival in response to sanitizers. The alteration in microbial community structure may be related to stronger biofilm formation of post-IS drain samples through survival, recruitment and overgrowth of species with high colonizing capability.

In conclusion, the five articles in this Research Topic better our understanding of factors shaping the microbial ecology of meat processing facilities and mechanisms of persistence, especially for pathogenic organisms. Bacterial activities and persistence are often strain dependent (Xu et al., 2024). Future in-situ studies with strain level resolution of presence and interactions would advance our understanding of this area even further.

Author contributions

XY: Writing – original draft, Writing – review & editing. MG: Writing – review & editing. RW: Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Arthur, T. M., Bosilevac, J. M., Brichta-Harhay, D. M., Guerini, M. N., Kalchayanand, N., Shackelford, S. D., et al. (2007). Transportation and lairage environment effects on prevalence, numbers, and diversity of Escherichia coli O157:H7 on hides and carcasses of beef cattle at processing. J. Food Prot. 70, 280–286. doi: 10.4315/0362-028x-70.2.280

PubMed Abstract | Crossref Full Text | Google Scholar

Dowd, S. E., Callaway, T. R., Wolcott, R. D., Sun, Y., McKeehan, T., Hagevoort, R. G., et al. (2008). Evaluation of the bacterial diversity in the feces of cattle using 16S rDNA bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP). BMC Microbiol. 8:125. doi: 10.1186/1471-2180-8-125

PubMed Abstract | Crossref Full Text | Google Scholar

Gill, C. O. (2009). Effects on the microbiological condition of product of decontaminating treatments routinely applied to carcasses at beef packing plants J. Food Prot. 72, 1790–1801. doi: 10.4315/0362-028X-72.8.1790

PubMed Abstract | Crossref Full Text | Google Scholar

Loretz, M., Stephan, R., and Zweifel, C. (2011). Antibacterial activity of decontamination treatments for cattle hides and beef carcasses. Food Control 22, 347–359. doi: 10.1016/j.foodcont.2010.09.004

Crossref Full Text | Google Scholar

Ohnishi, M., Kurokawa, K., and Hayashi, T. (2001). Diversification of Escherichia coli genomes: are bacteriophages the major contributors? Trends Microbiol. 9, 481–485. doi: 10.1016/S0966-842X(01)02173-4

PubMed Abstract | Crossref Full Text | Google Scholar

Xu, Z. S., Pham, V. D., Yang, X., and Gänzle, M. G. (2024). High-throughput analysis of microbiomes in a meat processing facility: are food processing facilities an establishment niche for persisting bacterial communities. Res. Sq. doi: 10.21203/rs.3.rs-4756983/v1

Crossref Full Text | Google Scholar

Yang, X. (2017). “Microbial ecology of beef carcasses and beef products,” in Quantitative Microbiology in Food Processing:Modeling the Microbial Ecology, ed. A. S. Sant'Ana (Chichester: John Wiley and Sons), 442–462.

Google Scholar

Zhang, P., Wang, H., Klima, C., and Yang, X. (2024). Microbiota in lymph nodes of cattle harvested in a Canadian meat processing plant. Food Res. Int. 191:114693. doi: 10.1016/j.foodres.2024.114693

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: selective pressure, microbial ecology, persistence, biofilm, sanitation

Citation: Yang X, Gänzle M and Wang R (2024) Editorial: How the application of antimicrobial hurdles in meat processing facilities shapes microbial ecology. Front. Microbiol. 15:1501925. doi: 10.3389/fmicb.2024.1501925

Received: 25 September 2024; Accepted: 26 September 2024;
Published: 08 November 2024.

Edited and reviewed by: Aldo Corsetti, University of Teramo, Italy

Copyright Copyright © 2024 Michael Gänzle and His Majesty the King in Right of Canada, as represented by the Minister of Agriculture and Agri-Food Canada for the contribution of Xianqin Yang. At least a portion of this work is authored by Rong Wang on behalf of the U.S. Government and as regards Dr. Wang and the U.S. Government, is not subject to copyright protection in the United States. Foreign and other copyrights may apply. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xianqin Yang, eGlhbnFpbi55YW5nJiN4MDAwNDA7YWdyLmdjLmNh

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.