Population bottlenecks are assumed to play a key role in the maintenance of social traits in microbes. Ecological parameters such as colonisation or disturbances can favour cooperation through causing population bottlenecks that enhance genetic structuring (relatedness). However, the size of the population bottleneck is likely to play a crucial role in determining the success of cooperation. Relatedness is likely to increase with decreasing bottleneck size thus favouring the evolution of cooperation. I used an experimental evolution approach to test this prediction with biofilm formation by the bacterium Pseudomonas fluorescens as the cooperative trait. Replicate populations were exposed to disturbance events every four days under one of six population bottleneck treatments (from 103 to 108 bacterial cells). In line with predictions, the frequency of evolved cheats within the populations increased with increasing bottleneck size. This result highlights the importance of ecologically mediated population bottlenecks in the maintenance of social traits in microbes.
Citation: Brockhurst MA (2007) Population Bottlenecks Promote Cooperation in Bacterial Biofilms. PLoS ONE 2(7): e634. doi:10.1371/journal.pone.0000634
Academic Editor: Erik Svensson, Lund University, Sweden
Received: April 3, 2007; Accepted: June 15, 2007; Published: July 25, 2007
Copyright: © 2007 Michael Brockhurst. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Funded by the Wellcome Trust through the Research Development Fund of the University of Liverpool.
Competing interests: The author has declared that no competing interests exist.
Explaining the evolution of cooperation in microbes represents a major challenge , , , . The central problem is that cooperation is often metabolically costly to individuals thus, all else being equal, cheats that reap the rewards of cooperation without making any investment should be able to invade populations of cooperators . A classic solution to this problem is kin-selection , , ; here cooperation can be favoured if the benefits of cooperative acts are directed towards kin with whom the cooperator shares genes. Thus mechanisms that lead to cooperators interacting more with each other than with cheats (high relatedness) can favour the evolution of cooperation. Among metazoans, behavioural mechanisms such as kin-recognition may play a key role , , but kin recognition in microbes is far more contentious. As such, ecological conditions that increase spatial proximity of kin are likely to influence the evolution of microbial social traits.
Which conditions will result in increased spatial proximity of kin? First, if dispersal is limited, aggregations of close kin are likely to develop , , . However, limited dispersal can also result in close relatives competing more with each other, which can result in selection against cooperation . Second, ecological parameters such as metapopulation dynamics  (i.e., colonisation and extinction) and disturbances  can lead to increased genetic structuring (relatedness) if clonal or relatively few individuals found new populations; this causes population bottlenecks and potentially leads to the purging of cheats at regular intervals. A previous study has shown that very extreme population bottlenecks can have this effect : In metapopulations seeded with distinct cheat and cooperator genotypes, either 1 or 2 Pseudomonas aeruginosa clones were used to found new patches. Higher frequencies of cooperation were observed with the smaller bottleneck, or in other words, under higher relatedness. However, the role of a broad range of population bottlenecks has yet to be considered; it is likely that the frequency of cooperation will increase with decreasing population bottleneck size. Moreover it is valuable to test the evolutionary effects of population bottlenecks in experimental systems where social traits evolve de novo , , , , , rather than more simple ecological competition between cooperator and cheat genotypes , .
I investigated the impact of population bottleneck size on the evolution of cheats experimentally using the cooperative trait of biofilm formation in Pseudomonas fluorescens , . When propagated in spatially heterogeneous environments (a static glass microcosm containing nutrient-rich medium ), populations of the ancestral smooth (SM) P. fluorescens genotype rapidly diversify, generating a range of niche specialist genotypes by mutation that are maintained by negative frequency dependent selection . The wrinkly-spreader (WS) morph is ecologically dominant , , forming a biofilm at the air-broth interface through constitutive overproduction of cellulosic polymer . While over-expression of cellulosic polymer is individually costly (as demonstrated by the reduced exponential growth rate of WS relative to SM , ), its production provides a group benefit to WS because colonisation of the air-broth interface niche allows improved access to oxygen, a limiting resource . Clonal WS biofilms have been found to be susceptible to invasion by SM genotypes that arise by mutation from WS , , . In this context SM are cheats, gaining the benefit of inhabiting the air-broth interface while making no contribution to the integrity of the biofilm, which is significantly weaker in the presence of cheating SM genotypes .
Four independent WS genotypes were isolated from separate adaptive radiations. Initially isogenic populations of each were then propagated under a disturbance frequency that has previously been shown to favour cooperation (once every four days ). Disturbances were non-specific mass mortality events that varied in size between treatments: after thorough homogenisation, either 0.00001%, 0.0001%, 0.001%, 0.01%, 0.1%, 1%, or 10% of each population was transferred to a fresh microcosm. Experiments were performed in static microcosms over a 16-day period after-which-time populations were homogenised, plated onto agar and the frequency of SM and WS colonies determined. It was hypothesised that the frequency of evolved SM cheats would increase with increasing bottleneck size.
a. Isolating WS genotypes
Four replicate microcosms (30mL glass universal containing 6mL of King's B nutrient media) were inoculated with Pseudomonas fluorescens SBW25 to a total of approximately 107 cells. These were statically incubated for 6 days at 28°C, after which time all populations were vortexed and an aliquot diluted and plated onto KB agar. A single wrinkly-spreader colony was then isolated from each population for further study and stored at −80°C in 20% glycerol.
b. Population bottleneck selection experiment
Populations were initiated with 107 cells of one of the isolated WS genotypes grown for 18h under shaken conditions. These were then propagated under one of the following population bottleneck regimes regimes: 0.006, 0.06, 0.6, 6, 60 or 600 µL of culture was transferred to a fresh microcosm every 4 days over a 16-day period. After 16 days the populations were homogenised and sampled. Samples were then plated onto agar and the frequencies of WS and SM colonies counted. Data of the proportion of WS cooperators was arcsin square-root transformed to stabilize variance and analysed in a General Linear Model fitting log10 bottleneck size as a covariate and founding population as a random factor. Log10 transformed total population density data was analysed in the same way. Both analyses conformed to GLM assumptions of normality of residuals and homogeneity of variance.
Results and Discussion
As predicted, the frequency of evolved SM cheats inhabiting the biofilm increased with increasing bottleneck size (Figure 1, Table 1; F1,19 = 5.72, P = 0.027), suggesting that reductions in relatedness caused by larger bottlenecks disfavoured cooperation. SM is also able to inhabit the broth phase of microcosms, however no significant growth in the broth phase was observed during this study (data not shown), this is in line with previous work performed under this disturbance frequency where the majority of evolved SM inhabited the biofilm . There was also a significant effect of founding genotype on the frequency of evolved SM cheats (F3,19 = 4.32, P = 0.018), suggesting, as has been previously observed , that independent WS genotypes differed in their susceptibility to invasion by evolved SM cheats. It is possible that these results could have arisen through differences in population density between bottleneck treatments, however this is unlikely as there was no significant correlation between the proportion of cooperators and population density (Pearson's r = 0.029, P = 0.9). Furthermore, no significant effect of bottleneck size on total population density was observed (Figure 2, Table 2; F1,19 = 3.07, P = 0.096), although a significant effect of founding genotype was observed (F3,19 = 4.42, P = 0.016). This confirms previous work suggesting that independent WS genotypes vary in terms of productivity .
Figure 1. The effect of population bottleneck size on the proportion of cooperators.
Dots represent mean proportion ± SEM of the population with WS colony morphology on day 16 of the experiment.doi:10.1371/journal.pone.0000634.g001
Figure 2. The effect of population bottleneck size on total population density.
Dots represent mean ± SEM population density on day 16 of the experiment.doi:10.1371/journal.pone.0000634.g002
Table 1. GLM of arcsin square root transformed proportion of WS, using Adjusted SS for Tests.doi:10.1371/journal.pone.0000634.t001
Table 2. GLM of log10 total population density, using Adjusted SS for Tests.doi:10.1371/journal.pone.0000634.t002
These results extend the findings of a previous study, which highlighted the role of disturbance frequency in the maintenance of microbial social traits . Here, I show that disturbance size is also important. The “intermediate disturbance hypothesis” suggests that intermediate levels of either disturbance frequency or intensity (disturbance size weighted by frequency) will favour maximal levels of diversity; both frequency and intensity are assumed to be largely equivalent in their effects, preventing domination of patches by the most competitive species . It has been previously shown that intermediate disturbance frequencies favour cooperation . This occurs because disturbances cause population bottlenecks that increase relatedness thus favouring cooperation. However very high frequencies of disturbance cause population densities to fall below that required for cooperation to be beneficial, while very low frequencies allow evolved cheats to accumulate. The results presented here suggest that disturbances of large effect are more likely to favour cooperation, thus for an intermediate frequency of disturbance, disturbances of greater intensity are more likely to favour cooperation because of the relatedness enhancing effects of population bottlenecks. Therefore, when considering social traits disturbance frequency and intensity may not have equivalent effects.
Ecologically generated population bottlenecks are likely to be common in nature, and thus may indeed play a key role in the evolution of microbial social traits. This work expands upon previous studies, which have used fixed  or very small bottlenecks , by using a wide range I show that the size of bottleneck generated by ecological events may be crucially important to the maintenance of cooperation in microbes. Such events may be particularly important in the evolution of microbial pathogens where it is common for single or few cells to initiate infections . Furthermore, the action of the immune system and antimicrobial treatments impose further population bottlenecks that may help to maintain social traits in microbial pathogens. This is likely to be significant as social traits are thought to be important in determining both the virulence and persistence of pathogenic microbial infections , , .
I am grateful to Angus Buckling, Andy Gardner, the Academic Editor Erik Svensson and two anonymous referees for helpful comments on the manuscript.
Conceived and designed the experiments: MB. Performed the experiments: MB. Analyzed the data: MB. Wrote the paper: MB.
- 1. Travisano M, Velicer GJ (2004) Strategies of microbial cheater control. Trends Microbiol 12: 72–79.
- 2. Velicer GJ (2003) Social strife in the microbial world. Trends Microbiol 11: 330–337.
- 3. West SA, Griffin AS, Gardner A, Diggle SP (2006) Social evolution theory for microorganisms. Nat Rev Microbiol 4: 597–607.
- 4. Crespi BJ (2001) The evolution of social behaviour in microorganisms. Trends Ecol Evol 16: 178–183.
- 5. Frank SA (1998) Foundations of social evolution. Princeton: Princeton University Press.
- 6. Hamilton WD (1997) Narrow Roads of Gene Land: The Collected Papers of W.D.Hamilton: Evolution of Social Behaviour Vol 1. New York: W. H. Freeman.
- 7. Hamilton WD (1964) The genetical evolution of social behaviour I. J Theor Biol 7: 1–16.
- 8. Hamilton WD (1964) The genetical evolution of social behaviour II. J Theor Biol 7: 17–52.
- 9. Parr LA, de Waal FB (1999) Visual kin recognition in chimpanzees. Nature 399: 647–648.
- 10. Sharp SP, McGowan A, Wood MJ, Hatchwell BJ (2005) Learned kin recognition cues in a social bird. Nature 434: 1127–1130.
- 11. Taylor PD (1992) Altruism in viscous populations-an inclusive fitness model. Evol Ecol 6: 352–356.
- 12. Mitteldorf J, Wilson DS (2000) Population viscosity and the evolution of altruism. J Theor Biol 204: 481–496.
- 13. Wilson DS, Pollock GB, Dugatkin LA (1992) Can altruism evolve in purely viscous populations. Evol Ecol 6: 331–341.
- 14. West SA, Pen I, Griffin AS (2002) Cooperation and competition between relatives. Science 296: 72–75.
- 15. Brockhurst MA, Buckling A, Gardner A (2007) Cooperation peaks at intermediate disturbance. Curr Biol 17: 761–765.
- 16. Griffin AS, West SA, Buckling A (2004) Cooperation and competition in pathogenic bacteria. Nature 430: 1024–1027.
- 17. Harrison F, Buckling A (2005) Hypermutability impedes cooperation in pathogenic bacteria. Curr Biol 15: 1968–1971.
- 18. Brockhurst MA, Hochberg ME, Bell T, Buckling A (2006) Character displacement promotes cooperation in bacterial biofilms. Curr Biol 16: 2030–2034.
- 19. Velicer GJ, Kroos L, Lenski RE (1998) Loss of social behaviors by myxococcus xanthus during evolution in an unstructured habitat. Proc Natl Acad Sci USA 95: 12376–12380.
- 20. Rainey PB, Rainey K (2003) Evolution of cooperation and conflict in experimental bacterial populations. Nature 425: 72–74.
- 21. MacLean RC, Gudelj I (2006) Resource competition and social conflict in experimental populations of yeast. Nature 441: 498–501.
- 22. Rainey PB, Travisano M (1998) Adaptive radiation in a heterogeneous environment. Nature 394: 69–72.
- 23. Hodgson DJ, Rainey PB, Buckling A (2002) Mechanisms linking diversity, productivity and invasibility in experimental bacterial communities. Proc R Soc B 269: 2277–2283.
- 24. Brockhurst MA, Colegrave N, Hodgson DJ, Buckling A (2007) Niche occupation limits adaptive radiation in experimental microcosms. PLoS ONE 2: e193.
- 25. Spiers AJ, Kahn SG, Bohannon J, Travisano M, Rainey PB (2002) Adaptive Divergence in Experimental Populations of Pseudomonas fluorescens. I. Genetic and Phenotypic Bases of Wrinkly Spreader Fitness. Genetics 161: 33–46.
- 26. MacLean RC, Bell G, Rainey PB (2004) The evolution of a pleiotropic fitness tradeoff in Pseudomonas fluorescens. Proc Natl Acad Sci USA 101: 8072–8077.
- 27. Petraitis PS, Latham RE, Niesenbaum RA (1989) The maintenance of species diversity by disturbance. Q Rev Biol 64: 393–418.
- 28. Maynard Smith J, Feil EJ, Smith NH (2000) Population structure and evolutionary dynamics of pathogenic bacteria. Bioessays 22: 1115–1122.
- 29. Brown SP, Hochberg ME, Grenfell BT (2002) Does multiple infection select for raised virulence? Trends in Microbiology 10: 401–405.
- 30. Drenkard E, Ausubel FM (2002) Pseudomonas biofilm formation and antibiotic resistance are linked to phenotypic variation. Nature 416: 740–743.
- 31. Fux CA, Costerton JW, Stewart PS, Stoodley P (2005) Survival strategies of infectious biofilms. Trends Microbiol 13: 34–40.