Editorial: Multi-species biofilms in the food industry
Bibliographic record
Abstract
Microbial biofilms are spatially organized communities of microorganisms attached to different surfaces and embedded within a self-produced matrix composed of extracellular polymeric substances (EPS). The formation of biofilms frequently occurs in the food industry, due to available nutrients, large areas for microbial growth, and the complexity of processing facilities. Microbial biofilms have represented an outstanding survival strategy against stressful conditions for both spoilage and pathogenic bacteria during food processing (Alvarez-Ordóez et al. 2019). Thus, microbial biofilms have been notoriously identified as causes for food spoilage, foodborne diseases, and high costs for equipment damage in the food industry.Most knowledge regarding food biofilms is based on the formation and control of single-species biofilms; however, they ignored the fact that mixed-species biofilms represent the most frequent form of contamination in the food industry, and bacterial interactions may facilitate the properties and behavior quite different from singlespecies biofilms (Yuan et al., 2020). A better understanding of the metabolic activity of microorganisms in mixed-species biofilms is challenging, but in turn, will definitely be useful for the design of more efficient strategies for controlling unwanted biofilms in the food industry.In this context, this Research Topic aims to collect recent studies on the following themes: 1) the mechanisms underlying the formation of mixed-species biofilms; 2) the persistence and resistance under food processing environments; 3) the development of appropriate methods to study mixed-species biofilms; and 4) the potential novel strategies to control the formation of mixed-species biofilms. This Research Topic comprises 4 original research articles from Austria, China, Canada, and South Korea, contributed by 24 authors. Two contributions focused on the evaluation of mixedspecies biofilm formation, and the others designed potential effective methods to control the formation of multi-species biofilms.Voglauer and co-authors described the complexity of mixed-species biofilms formed in water hoses of a meat processing environment by high-throughput 16S rRNA gene sequencing, with Comamonadaceae and Pseudoxanthomonas being most abundant in biofilms. Opportunistic pathogens, including the genera of Neochlamydia, Legionella, and Pseudomonas, have also been detected with different abundances. However, knowledge of the effects of environmental factors on the formation of biofilms in water hoses is limited. The authors also stated that control strategies have to be taken to prevent the colonization and biofilm formation in water hoses in order to assure water safety for the health of workers and consumers. In another study, Nan and the coauthors evaluated the formation and transfer of mixed-species biofilms by Escherichia coli O103:H2 and lactic acid bacteria or spoilage bacteria at different temperatures, storage time, and humidity conditions. They stated that the formation of mixed-species biofilms may increase or diminish the risk of beef contamination by E. coli O103:H2, depending on the bacteria community and environmental conditions in beef processing environment.It is generally believed that mixed-species biofilms exhibit higher resistance to biofilm control strategies in food processing facilities when compared to single-species biofilms (Pang, Yang, and Yuk, 2017;Pang and Yuk, 2018). This emphasizes the importance for the development of effective biofilm control methods. In this Research Topic, two research articles are related to the control of mixed-species biofilms formed by pathogenic or spoilage microorganisms in the food industry. Yan and co-authors confirmed the high antibiofilm efficiency of lightly acidic electrolyzed water by preventing surface adhesions and impairing biofilm cell membrane integrities, and the antimicrobial activity highly depends on its storage time. This study also investigated the inhibitory effect of slightly acidic electrolyzed water on mixed-species of Listeria monocytogenes Scott A and Staphylococcus aureus for the first time.Hurdle technology, the combination of two or more control strategies, has been proved as a promising technology to effectively remove biofilm cells from food processing facilities, as they would attack microorganisms in different ways (Yuan et al., 2021). In another contribution, Zhu and co-authors examined the synergistic effect of ε-Polylysine hydrochloride and cinnamon essential oil against dual-species biofilms by L. monocytogenes and Pseudomonas lundensis in meat processing. The combination of the two preservatives exhibited increased inhibitory effect against dual-species biofilm formation according to the thin spare spatial structures and reduced AI-2 activity, and dramatically eradicated the preformed dual-species biofilms.The above studies have expanded our understanding on this topic; however, relevant studies about 1) the mechanisms underlying the formation of multi-species biofilms by omics, and 2) the development of appropriate methods to study multi-species biofilms and still needed for a better understanding of multi-species biofilms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.019 | 0.016 |
| Insufficient payload (model declined to judge) | 0.021 | 0.017 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".