Sébastien Boutin* and Alexander H. Dalpke Pages 1291 - 1299 ( 9 )
Nature offered mankind the first golden era of discovery of novel antimicrobials based on the ability of eukaryotes or micro-organisms to produce such compounds. The microbial world proved to be a huge reservoir of such antimicrobial compounds which play important functional roles in every environment. However, most of those organisms are still uncultivable in a classical way, and therefore, the use of extended culture or DNA based methods (metagenomics) to discover novel compounds promises usefulness. In the past decades, the advances in next-generation sequencing and bioinformatics revealed the enormous diversity of the microbial worlds and the functional repertoire available for studies. Thus, data-mining becomes of particular interest in the context of the increased need for new antibiotics due to antimicrobial resistance and the rush in antimicrobial discovery. In this review, an overview of principles will be presented to discover new natural compounds from the microbiome. We describe culture-based and culture-independent (metagenomic) approaches that have been developed to identify new antimicrobials and the input of those methods in the field as well as their limitations.
Antimicrobial Peptides, Metagenomics, Data mining, Bioinformatics, Microbiome, Antimicrobials agents.
University Hospital Heidelberg, Department of Infectious Diseases, Medical microbiology and Hygiene, Technical University Dresden, Institute of Medical Microbiology and Hygiene, Medical Faculty