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A Method for Targeted 16S Sequencing of Human Milk Samples
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Bovine milk microbiome: a more complex issue than expected.

Suvi Taponen1, David McGuinness2, Heidi Hiitiö3

  • 1Department of Production Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland. suvi.taponen@helsinki.fi.

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Summary

Next Generation Sequencing (NGS) of 16S rRNA genes revealed bacterial profiles in bovine milk. Results highlight potential contamination issues in milk microbiome analysis, emphasizing the need for critical assessment.

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Area of Science:

  • Veterinary Microbiology
  • Bovine Mastitis Research
  • Microbiome Analysis

Background:

  • Bovine mastitis is a significant concern in dairy herds, impacting animal health and milk production.
  • Understanding the milk microbiome is crucial for diagnosing and managing mastitis.
  • Previous studies have utilized various molecular techniques to characterize the bovine milk microbiome.

Purpose of the Study:

  • To analyze bacterial profiles in bovine mastitic and healthy milk samples using 16S rRNA gene sequencing.
  • To compare Next Generation Sequencing (NGS) results with Polymerase Chain Reaction (PCR) assays.
  • To evaluate potential discrepancies and contamination in milk microbiome datasets.

Main Methods:

  • Collection of 49 bovine milk samples from a single dairy herd.
  • Division of samples into two sets for separate DNA extraction, library preparation, and sequencing.
  • 16S rRNA gene amplicon sequencing (NGS) and comparative analysis with PCR results.
  • Alpha diversity analysis and Linear Discriminant Analysis (LDA) for microbial community comparison.

Main Results:

  • High consistency between NGS and PCR for major mastitis pathogens (Staphylococcus aureus, Streptococcus uberis).
  • Significant differences in bacterial genera and species richness between the two sample sets (Set 1 vs. Set 2).
  • Increased detection of contaminating bacteria in Set 2, particularly in samples with low or no pathogen DNA.
  • Genus Methylobacterium was more prevalent in Set 2, while Streptococcus was more common in Set 1.

Conclusions:

  • NGS analysis of the bovine milk microbiome requires careful interpretation due to potential amplification of contaminating bacteria.
  • Discrepancies between datasets highlight the importance of standardized protocols and critical assessment of milk microbiome data.
  • Further research is needed to refine methodologies for accurate bovine milk microbiome profiling.