This project is focused on analysis of human microbiome data and is integrated into the Dutch con-sortium of understanding the role of Ribosomally synthesised and posttranslationally modified peptides (RiPPs), both in agriculture and in human health. The main focus of the project will include searching for RiPPs and other biosynthetic gene clusters in human microbiome data and linking their presence to the host factors like diet, medication, and other environmental factors. The project will be based in UMC Groningen (UMCG) and will include collaboration with the bioinformatic team of Prof. Marnix Medema (Wageningen University), who has developed methods for the analysis of biosyn-thetic gene clusters (i.e. PMID 34581602). The candidate will work in close collaboration with the members of
the Groningen Microbiome Hub. Our team includes >20 researchers working on various aspects of microbiome development and function in adult population cohorts, longitudinal mother-baby cohorts, and patients with various diseases. Metagenomic data in >11,000 adult subjects and 4500 samples from longitudinal mother-baby cohort is already generated and cleaned. Dietary data and extensive environment information is also available. The project is covered by the NWO (Dutch scientific organization) grant. The Lifelines cohort and metagenomics data is described in our recent publications:
DOI: 10.1038/s41586-022-04567-7 and
DOI: 10.1126/science.aad3369.
PhD student working on this project will be expected to:
- Integrate and analyze the genomic-, metagenomic-, metabolomics- and proteomics datasets.
- Modify and apply the RiPP-search databases and other tools for the analysis of biosynthetic gene clusters. Work with environmental, microbiome, and other ‘omics datasets.
- Design, develop, implement and maintain new algorithms, applications and infrastructure components.
- Summarize and report key analytical findings in both oral and written form at work meetings, at international scientific conferences and in scientific publications.