Year: 2019
Type: article
Abstract: Land-use change is predicted to act as a driver of zoonotic disease emergence through human exposure to novel microbial diversity, but evidence for the effects of environmental change on microbial communities in vertebrates is lacking. We sample wild birds at 99 wildlife-livestock-human interfaces across Nairobi, Kenya, and use whole genome sequencing to characterise bacterial genes known to be carried on mobile genetic elements (MGEs) within avian-borne Escherichia coli (n = 241). By modelling the diversity of bacterial genes encoding virulence and antimicrobial resistance (AMR) against ecological and anthropogenic forms of urban environmental change, we demonstrate that communities of avian-borne bacterial genes are shaped by the assemblage of co-existing avian, livestock and human communities, and the habitat within which they exist. In showing that non-random processes structure bacterial genetic communities in urban wildlife, these findings suggest that it should be possible to forecast the effects of urban land-use change on microbial diversity.
Source: Nature Communications
Institutions: University of Liverpool, International Livestock Research Institute, John Radcliffe Hospital, University of Oxford, Centre for Immunity, Infection and Evolution, University of Edinburgh, University of Southampton, Food and Agriculture Organization of the United Nations, National Museums of Kenya, Kenya Medical Research Institute, University of Nairobi
Language: English
Subfield: Microbiology
Field: Immunology and Microbiology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,200
Awards: Human Genetics and Disease Biology: Core Renewal for the Wellcome Trust Centre for Human Genetics, G2299666606, Partnership for a cross-disciplinary approach to the ecology of antimicrobial drug resistance in Kenya, G7075479114, Human Genetics and Disease Biology: Core Renewal for the Wellcome Trust Centre for Human Genetics, Epidemiology, Ecology and Socio-Economics of Disease Emergence in Nairobi
OpenAlex ID: W2952089337
