Marco Fondi
“Every gene is everywhere but the environment selects”: Global geolocalization of gene sharing in environmental samples through network analysis
Fondi, Marco; Karkman, Antti; Tamminen, Manu V.; Bosi, Emanuele; Virta, Marko; Fani, Renato; Alm, Eric; McInerney, James O.
Authors
Antti Karkman
Manu V. Tamminen
Emanuele Bosi
Marko Virta
Renato Fani
Eric Alm
Professor JAMES MCINERNEY JAMES.MCINERNEY@NOTTINGHAM.AC.UK
Chair in Evolutionary Biology
Abstract
© The Author(s) 2016. The spatial distribution of microbes on our planet is famously formulated in the Baas Becking hypothesis as “everything is everywhere but the environment selects.” While this hypothesis does not strictly rule out patterns caused by geographical effects on ecology and historical founder effects, it does propose that the remarkable dispersal potential of microbes leads to distributions generally shaped by environmental factors rather than geographical distance. By constructing sequence similarity networks from uncultured environmental samples, we show that microbial gene pool distributions are not influenced nearly as much by geography as ecology, thus extending the Bass Becking hypothesis from whole organisms to microbial genes. We find that gene pools are shaped by their broad ecological niche (such as sea water, fresh water, host, and airborne). We find that freshwater habitats act as a gene exchange bridge between otherwise disconnected habitats. Finally, certain antibiotic resistance genes deviate from the general trend of habitat specificity by exhibiting a high degree of cross-habitat mobility. The strong cross-habitat mobility of antibiotic resistance genes is a cause for concern and provides a paradigmatic example of the rate by which genes colonize new habitats when new selective forces emerge.
Citation
Fondi, M., Karkman, A., Tamminen, M. V., Bosi, E., Virta, M., Fani, R., …McInerney, J. O. (2016). “Every gene is everywhere but the environment selects”: Global geolocalization of gene sharing in environmental samples through network analysis. Genome Biology and Evolution, 8(5), 1388-1400. https://doi.org/10.1093/gbe/evw077
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 31, 2016 |
Online Publication Date | Apr 29, 2016 |
Publication Date | 2016-05 |
Deposit Date | Jan 13, 2020 |
Publicly Available Date | Jan 31, 2020 |
Journal | Genome Biology and Evolution |
Electronic ISSN | 1759-6653 |
Publisher | Oxford University Press |
Peer Reviewed | Peer Reviewed |
Volume | 8 |
Issue | 5 |
Pages | 1388-1400 |
DOI | https://doi.org/10.1093/gbe/evw077 |
Public URL | https://nottingham-repository.worktribe.com/output/3223269 |
Publisher URL | https://academic.oup.com/gbe/article/8/5/1388/2939569 |
Files
evw077
(1 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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