Metataxonomics contributes to unravel the microbiota of a Brazilian dairy

J Dairy Res. 2020 Aug;87(3):360-363. doi: 10.1017/S0022029920000837. Epub 2020 Sep 4.

Abstract

For this research communication, 90 samples of a Brazilian dairy were combined into four groups (raw material, final product, food-contact and non-food contact surfaces) and analyzed by metataxonomics based on 16S rRNA gene sequencing. The results showed high alpha-diversity indexes for final product and non-food contact surfaces but, overall, beta-diversity indexes were low. The samples were separated in two main clusters, and the core microbiota was composed by Macrococcus, Alkaliphilus, Vagococcus, Lactobacillus, Marinilactibacillus, Streptococcus, Lysinibacillus, Staphylococcus, Clostridium, Halomonas, Lactococcus, Enterococcus, Bacillus and Psychrobacter. These results highlight that rare taxa occur in dairies, and this may aid the development of strategies for food protection.

Keywords: cheese microbiome; dairy microbiota; food metataxonomics; lactic acid bacteria; milk microbiome.

MeSH terms

  • Animals
  • Bacteria / classification*
  • Bacteria / genetics
  • Brazil
  • Cattle
  • Dairy Products / microbiology*
  • Food Microbiology*
  • Milk / microbiology*