ArticleNature communications2019
Deterministic processes structure bacterial genetic communities across an urban landscape.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 52 citations in OpenAlex.
- Seasonal Changes Drive Shifts in Bacterial Community Structure and Functional Composition in the Yellow River (Zhengzhou Section).Current microbiology · 2025Article
- Gut microbiome variation in juvenile blue tits in a European urban mosaic.Scientific reports · 2025Article
- Microbial Metagenomics Revealed the Diversity and Distribution Characteristics of Groundwater Microorganisms in the Middle and Lower Reaches of the Yangtze River Basin.Microorganisms · 2024Article
- One Health approaches to tackling antimicrobial resistance.Science in One Health · 2024Review
- Epidemiological connectivity between humans and animals across an urban landscape.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Innate immune function and antioxidant capacity of nestlings of an African raptor covary with the level of urbanisation around breeding territories.The Journal of animal ecology · 2023Article
- Screening of global microbiomes implies ecological boundaries impacting the distribution and dissemination of clinically relevant antimicrobial resistance genes.Communications biology · 2022Article
- Population genomics of Escherichia coli in livestock-keeping households across a rapidly developing urban landscape.Nature microbiology · 2022Article
- Use of genomics to explore AMR persistence in an outdoor pig farm with low antimicrobial usage.Microbial genomics · 2022Article
- Socio-ecological drivers of vertebrate biodiversity and human-animal interfaces across an urban landscape.Global change biology · 2021Article
- Genomic characterization of an emerging Enterobacteriaceae species: the first case of co-infection with a typical pathogen in a human patient.BMC genomics · 2020Article
- Habitat filtering shapes the differential structure of microbial communities in the Xilingol grassland.Scientific reports · 2019Article
- Does urbanization make emergence of zoonosis more likely? Evidence, myths and gaps.Environment and urbanization · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 8 institutions in 3 countries.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.