Overview
Project title
Microbiota profiling of cows milk with and without traditional fermentation
People involved
Principal investigator : Prof Mike Levin
Support request made by: Pieter de Waal
Bioinformatics support team: Katie Lennard
Short description of project
Identification and description of the microbiome found in traditionally fermented milk products versus fresh, unpasteurized cow’s milk from rural South Africa. Three (3) milk samples will be collected from farms in rural Eastern Cape: unpasteurized cow’s milk, traditionally homemade fermented milk and commercially bought fermented milk. The three sample types will be compared.
Do the three sample types differ from each other?
How can this knowledge be translated into the Clinical Allergology?
Objectives
Perform preprocessing of Illumina MiSeq 16S reads (supplied by CPGR) using CBIO's dada2 pipeline and downstream exploratory analysis in R
Latest news
Published!
These results have been published as a Letter to the Editor in Pediatric Allergy and Immunology
Publication quality plots done
Preliminary barplots, heatmaps, alpha diversity, beta diversity plots were finalized with correct formatting labels etc.
Downstream analyses in R
Results from differential abundance testing fermented (amasi) vs. unfermented (raw) milk sent to Pieter
Data processed with dada2 pipeline on Ilifu
Raw .fastq files were uploaded to Ilifu and processed with our dada2 pipeline + GreenGenes 13.8 DB for tax annotation
Meetin with Pieter and Mike to discuss analysis
The raw .fastq files and CPGR report were obtained on a flash disk and we discussed the analyses they want done
Members
Manager: Katie Lennard