Mapping microbial ecosystems and spoilage-gene flow in breweries highlights patterns of contamination and resistance

Author:

Bokulich Nicholas A123,Bergsveinson Jordyn4,Ziola Barry4ORCID,Mills David A123

Affiliation:

1. Department of Food Science and Technology, University of California, Davis, Davis, United States

2. Department of Viticulture and Enology, University of California, Davis, Davis, United States

3. Foods for Health Institute, University of California, Davis, Davis, United States

4. Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, Canada

Abstract

Distinct microbial ecosystems have evolved to meet the challenges of indoor environments, shaping the microbial communities that interact most with modern human activities. Microbial transmission in food-processing facilities has an enormous impact on the qualities and healthfulness of foods, beneficially or detrimentally interacting with food products. To explore modes of microbial transmission and spoilage-gene frequency in a commercial food-production scenario, we profiled hop-resistance gene frequencies and bacterial and fungal communities in a brewery. We employed a Bayesian approach for predicting routes of contamination, revealing critical control points for microbial management. Physically mapping microbial populations over time illustrates patterns of dispersal and identifies potential contaminant reservoirs within this environment. Habitual exposure to beer is associated with increased abundance of spoilage genes, predicting greater contamination risk. Elucidating the genetic landscapes of indoor environments poses important practical implications for food-production systems and these concepts are translatable to other built environments.

Funder

National Institute of General Medical Sciences (NIGMS)

Natural Sciences and Engineering Research Council of Canada

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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