ArticleBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2020
Metagenomic characterization of bacterial biofilm in four food processing plants in Colombia.
Article in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Emerging Microbiological and Sensor-Based Approaches for Biofilm Detection in Meat and Poultry Processing Environments.Foods (Basel, Switzerland) · 2026Review
- Unraveling the Coevolutionary Dynamics of Phage and Bacterial Protein Warfare Occurring in the Drains of Beef-Processing Plants.Microorganisms · 2026Article
- Can Metagenomic Analyses Be Used Effectively in Safe Food Production?Food science & nutrition · 2025Review
- Repeated biocide treatments cause changes to the microbiome of a food industry floor drain biofilm model.Frontiers in microbiology · 2025Article
- Hidden Places for Foodborne Bacterial Pathogens and Novel Approaches to Control Biofilms in the Meat Industry.Foods (Basel, Switzerland) · 2024Review
- Article
- High Disinfectant Tolerance inMicroorganisms · 2023Article
- Metagenomics: An Effective Approach for Exploring Microbial Diversity and Functions.Foods (Basel, Switzerland) · 2023Review
- Microbial Dynamics in Mixed-Culture Biofilms ofMicroorganisms · 2023Article
- Shotgun-metagenomics reveals a highly diverse and communal microbial network present in the drains of three beef-processing plants.Frontiers in cellular and infection microbiology · 2023Article
- Translational challenges and opportunities in biofilm science: a BRIEF for the future.NPJ biofilms and microbiomes · 2022Review
- Microbial Biofilms at Meat-Processing Plant as Possible Places of Bacteria Survival.Microorganisms · 2022Article
- Analysis of microbiota structure in cooked ham as influenced by chemical composition and processing treatments: Identification of spoilage bacteria and elucidation on contamination route.Current research in food science · 2022Article
- Response of a Coastal Microbial Community to Olivine Addition in the Muping Marine Ranch, Yantai.Frontiers in microbiology · 2021Article
- Co-Occurrence ofFrontiers in microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Bacteria inside biofilms are more persistent and resistant to stress conditions found in the production environment of food processing plants, thus representing a constant risk for product safety and quality. Therefore, the aim of this study was to characterize, using 16S rRNA sequencing, the bacterial communities from biofilms found in four food processing plants (P1, P2, P3, and P4). In total, 50 samples from these four processing plants were taken after cleaning and disinfection processes. Four phyla: Proteobacteria, Firmicutes, Actinobacteria, and Bacteroides represented over 94% of the operational taxonomic units found across these four plants. A total of 102 families and 189 genera were identified. Two genera, Pseudomonas spp. and Acinetobacter spp., were the most frequently found (93.47%) across the four plants. In P1, Pseudomonas spp. and Lactobacillus spp. were the dominant genera, whereas Lactobacillus spp. and Streptococcus spp. were identified in P2. On the other hand, biofilms found in P3 and P4 mainly consisted of Pseudomonas spp. and Acinetobacter spp. Our results indicate that different bacterial genera of interest to the food industry due to their ability to form biofilm and affect food quality can coexist inside biofilms, and as such, persist in production environments, representing a constant risk for manufactured foods. In addition, the core microbiota identified across processing plants evaluated was probably influenced by type of food produced and cleaning and disinfection processes performed in each one of these.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.