The role of human microbiota for the development of fungal infectious diseases – Candida albicans as a case study
Project B5 investigates the role of human microbiota in the development of fungal infectious diseases. The main hypothesis is that the observed high rate of Candida albicans infections in patients undergoing chemotherapeutic or antibiotic treatment is highly interconnected with drug-induced imbalances of the intestinal ecosystem. B5 will determine the composition and functionality of bacteria and viruses from human and mouse gut and will examine how microbes influence the colonization of C. albicans. By high throughput sequencing, metagenome and metatranscriptome data from different time points before and after colonization/infection will be generated.
The new systemic view of the intertwined nature of C. albicans infections, drug administration and gut microbiota will be generated on the basis of the following aims:
- Analyzing the diversity and functionality of the gut microbiome and the contribution to C. albicans colonization and dissemination
- Characterization of RNAs from extracellular microvesicles
- Further developing the data-warehouse FungiNetDB for the analysis and storage of 16S rRNA, metagenomic, metatranscriptomic and virome data.
Prof. Dr. Manja Marz
Faculty of Mathematics and Computer Science Bioinformatics/High Throughput Analysis
Friedrich Schiller University Jena
Dr. Gianni Panagiotou
Research Group Systems Biology and Bioinformatics
Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute
|Kang K, Bergdahl B, Machado D, Dato L, Han TL, Li J, Villas-Boas S, Herrgård MJ, Förster J, Panagiotou G||2019||Linking genetic, metabolic and phenotypic diversity among S. cerevisiae strains using multi-omics associations.||Gigascience 8 pii: giz015||PubMed|
|Li J, Rettedal EA, van der Helm E, Ellabaan M, Panagiotou G, Sommer MOA||2019||Antibiotic treatment drives the diversification of the human gut resistome||Genomics Proteomics Bioinformatics 17: 39-51||PubMed|
|Zheng T, Li J, Ni Y, Kang K, Misiakou MA, Imamovic L, Chow BKC, Rode AA, Bytzer P, Sommer M, Panagiotou P||2019||Mining, analyzing and integrating viral signals from metagenomic data.||Microbiome 7: 42||PubMed|
|Liu Y, Wang Y, Ni Y, Cheung CKY, Lam KSL, Wang Y, Xia Z, Ye D, Guo J, Tse MA, Panagiotou G, Xu A||2019||Gut microbiome fermentation determines the efficacy of exercise for diabetes prevention.||Cell Metab 31: 77-91||PubMed|