Title |
Genomic plasticity and rapid host switching can promote the evolution of generalism: a case study in the zoonotic pathogen Campylobacter
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Published in |
Scientific Reports, August 2017
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DOI | 10.1038/s41598-017-09483-9 |
Pubmed ID | |
Authors |
Dan J. Woodcock, Peter Krusche, Norval J. C. Strachan, Ken J. Forbes, Frederick M. Cohan, Guillaume Méric, Samuel K. Sheppard |
Abstract |
Horizontal gene transfer accelerates bacterial adaptation to novel environments, allowing selection to act on genes that have evolved in multiple genetic backgrounds. This can lead to ecological specialization. However, little is known about how zoonotic bacteria maintain the ability to colonize multiple hosts whilst competing with specialists in the same niche. Here we develop a stochastic evolutionary model and show how genetic transfer of host segregating alleles, distributed as predicted for niche specifying genes, and the opportunity for host transition could interact to promote the emergence of host generalist lineages of the zoonotic bacterium Campylobacter. Using a modelling approach we show that increasing levels of homologous recombination enhance the efficiency with which selection can fix combinations of beneficial alleles, speeding adaptation. We then show how these predictions change in a multi-host system, with low levels of recombination, consistent with real r/m estimates, increasing the standing variation in the population, allowing a more effective response to changes in the selective landscape. Our analysis explains how observed gradients of host specialism and generalism can evolve in a multihost system through the transfer of ecologically important loci among coexisting strains. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 7 | 26% |
United States | 2 | 7% |
Australia | 2 | 7% |
Norway | 1 | 4% |
France | 1 | 4% |
Sweden | 1 | 4% |
Chile | 1 | 4% |
Unknown | 12 | 44% |
Demographic breakdown
Type | Count | As % |
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Scientists | 14 | 52% |
Members of the public | 11 | 41% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 31% |
Researcher | 10 | 14% |
Student > Bachelor | 6 | 8% |
Student > Doctoral Student | 5 | 7% |
Student > Postgraduate | 4 | 5% |
Other | 12 | 16% |
Unknown | 14 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 23% |
Biochemistry, Genetics and Molecular Biology | 16 | 22% |
Immunology and Microbiology | 9 | 12% |
Veterinary Science and Veterinary Medicine | 2 | 3% |
Engineering | 2 | 3% |
Other | 9 | 12% |
Unknown | 19 | 26% |