4.3 Article

Characterization of the soil resistome and mobilome in Namib Desert soils

Journal

INTERNATIONAL MICROBIOLOGY
Volume -, Issue -, Pages -

Publisher

SPRINGER
DOI: 10.1007/s10123-023-00454-x

Keywords

Resistome; Namib Desert; Mobile genetic elements; Antibiotic resistance

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The study is important for understanding the soil resistome in deserts and its role in antibiotic resistance evolution and dissemination. The researchers characterized the bacterial communities and identified various antibiotic and metal resistance genes using targeted sequencing and shotgun metagenomics. They found a diversity of resistance elements in Namib Desert soils and suggested that horizontal gene transfer plays a crucial role in their dynamics.
The study of the soil resistome is important in understanding the evolution of antibiotic resistance and its dissemination between the clinic and the environment. However, very little is known about the soil resistome, especially of those from deserts. Here, we characterize the bacterial communities, using targeted sequencing of the 16S rRNA genes, and both the resistome and the mobilome in Namib Desert soils, using shotgun metagenomics. We detected a variety of antibiotic resistance genes (ARGs) that conferred resistance to antibiotics such as elfamycin, rifampicin, and fluoroquinolones, metal/biocide resistance genes (MRGs/BRGs) conferring resistance to metals such as arsenic and copper, and mobile genetic elements (MGEs) such as the ColE1-like plasmid. The presence of metal/biocide resistance genes in close proximity to ARGs indicated a potential for co-selection of resistance to antibiotics and metals/biocides. The co-existence of MGEs and horizontally acquired ARGs most likely contributed to a decoupling between bacterial community composition and ARG profiles. Overall, this study indicates that soil bacterial communities in Namib Desert soils host a diversity of resistance elements and that horizontal gene transfer, rather than host phylogeny, plays an essential role in their dynamics.

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