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Human gut mobileome during antibiotic therapy. A trajectory-based approach to analysis of the metagenomic time-series datasets

By Anna Górska, Robert Schlaberg, Matthias Willmann, Jan Liese, Julia Victoria Monjaras Feria, Samuel Wagner, Ingo Autenrieth, Daniel H. Huson, Silke Peter

Posted 08 Oct 2019
bioRxiv DOI: 10.1101/793737

Antibiotic resistance is widely recognized as a severe threat to current medical practice. Each antibiotic therapy drives the emergence and subsequent retention of antibiotics resistance genes within the human gut microbiome. However, the details on how the resistance spreads between bacteria within the human gut remain unknown, as does the role of horizontal gene transfer in this process, too. We present a novel approach to the analysis of time-series whole-genome metagenomic sequencing data. This involves partitioning the scaffolds from the metagenomic assembly into groups corresponding to bacterial chromosomes, plasmids and those with prophages and transposons. Using specialized sequencing of the bacteriophages we were able to track the flow of ciprofloxacin resistance genes from bacterial chromosomes, through the plasmids, to prophages and phages.

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