Journal article
Social evolution in micro-organisms and a Trojan horse approach to medical intervention strategies
- Abstract:
- Medical science is typically pitted against the evolutionary forces acting upon infective populations of bacteria. As an alternative strategy, we could exploit our growing understanding of population dynamics of social traits in bacteria to help treat bacterial disease. In particular, population dynamics of social traits could be exploited to introduce less virulent strains of bacteria, or medically beneficial alleles into infective populations. We discuss how bacterial strains adopting different social strategies can invade a population of cooperative wild-type, considering public good cheats, cheats carrying medically beneficial alleles (Trojan horses) and cheats carrying allelopathic traits (anti-competitor chemical bacteriocins or temperate bacteriophage viruses). We suggest that exploitation of the ability of cheats to invade cooperative, wild-type populations is a potential new strategy for treating bacterial disease.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 753.8KB, Terms of use)
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- Publisher copy:
- 10.1098/rstb.2009.0055
Authors
- Publisher:
- Royal Society
- Journal:
- Philosophical Transactions of the Royal Society B More from this journal
- Volume:
- 364
- Issue:
- 1533
- Pages:
- 3157-3168
- Publication date:
- 2009-11-01
- Edition:
- Publisher's version
- DOI:
- EISSN:
-
1471-2970
- Language:
-
English
- Keywords:
- Subjects:
- UUID:
-
uuid:c6448409-1631-44ec-b736-7b70ef7ce649
- Local pid:
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ora:3167
- Deposit date:
-
2009-12-16
Terms of use
- Copyright holder:
- S P Brown et al
- Copyright date:
- 2009
- Notes:
- Citation: Brown, S. P. et al. (2009). 'Social evolution in micro-organisms and a Trojan horse approach to medical intervention strategies', Phil. Trans. R. Soc. B, 364(1533), 3157-3168. [Available at http://rstb.royalsocietypublishing.org/]. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/2.5/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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