Growth and virulence of pathogenic bacteria is often
increased by the production of extracellular factors, released in response to density
dependent cell-to-cell signalling, known as quorum sensing (QS). At low cell
densities a high production of extracellular factors are not as beneficial and
so quorum sensing provides a means of controlling this. However, other cells
may exploit these extracellular factors and by doing so, gain the benefits of
them without the cost of producing them. High genetic relatedness provides an
answer, as the benefits and costs are shared across individuals who share the
genes for production of extracellular factors (kin selection).
(Rumbaugh et al., 2012) examined bacterial infection in mice in order
to study how relatedness (defined as the genetic similarity to your social
partner compared to the whole population) influences selection for QS. They
used two bacterial strains, both Pseudomonas
aeruginosa, one was a wild type which both produces and responds to QS
signal molecules, and second was a mutant strain which does not respond to QS
signal molecules. They did this through two sets of experiments testing high
relatedness (low strain diversity) and low relatedness (high strain diversity).
Mice were infected, allowed 24 hours to incubate the bacteria and then
euthanised. Their livers were homogenised and the bacteria from their livers
were pooled together. Colonies were randomly chosen from the pool and used to
infect the next group of mice; this process was repeated up to six times,
effectively creating different subcultures at each pooling event.
In the high relatedness experiments, each mouse was only
infected with one strain, which could be either the wild or the mutant strain.
During the first infection stage, there was an equal amount of mice infected
with both the wild and mutant strain. If one strain within a mouse had a higher
growth rate than strains in other mice, this would contribute more proportion
of that strain, compared to others, when the bacteria were pooled together. This
means that bacterial strain would be more likely to be chosen to initiate the
next infection stage.
In the low relatedness experiments, multiple (10) clones
were used to infect each mouse. In the first infection stage there was always a
50:50 mix of wild and mutant strains in each mouse. As before, after killing
mice, the livers were homogenised and the bacteria were pooled together. 10
clones, at a concentration of 102, were randomly chosen and used to
infect the next group of mice. Each mouse was infected by a mixture of clones,
this allowed for competition within the host, where the mutant strain could
potentially exploit the wild type strain.
The results showed that the wild type strain was favoured
under conditions of high relatedness, whereas the mutant was favoured under
conditions of low relatedness. The mice of high relatedness which had been
infected with the wild type compared to the mutant found that the wild type
grew to significantly higher densities. Combining the results of this selection
experiment with data they had already collected on the mortality rate in the
infections of mice to Pseudomonas
aeruginosa, they found that 100% of mice infected with only the wild type
died after 5 days, 67% infected with only the mutant strain died after 5 days
and 56% infected with a 50:50 mixture died after 5 days.
In the high relatedness experiments, the wild strain and
mutant strain occurred in different mice, and so the greater growth of the wild
type led to a greater frequency until it eventually reached 100%. In low
relatedness experiments the two strains were able to coexist in the same mice,
which allowed the mutant to exploit the extracellular factors produced by the
wild, and so the mutant increased in frequency.
This is odd as classical virulence theory would predict that
higher strain diversity will lead to greater competition for host resources and
this select for a higher growth rate, which leads to greater virulence. From
this experiment the opposite was found, higher relatedness favoured greater
co-operation between bacterial cells, which facilitated bacterial growth and
hence leads to host mortality.
I enjoyed this study as it looked at variation in
relatedness focusing on quorum sensing in a population, through the use of
genetic manipulation. From the results of this study it would seem that quorum
sensing is much more beneficial in populations of high relatedness and so would
likely have evolved in such populations. However in natural populations the
relatedness will be much more similar across the entire genome, instead of a
single trait being different – as Spicer says, “it’s the phenotype which is
selected for through evolution, not just one gene”. Another problem which is
unique to studying evolution in microbes is the potential for horizontal gene
transfer, which can cause relatedness to vary across the genome.
If anyone's interested here's a link to the study: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3396913/
Rumbaugh,
K. P., Trivedi, U., Watters, C., Burton-Chellew, M. N., Diggle, S. P., &
West, S. a. (2012). Kin selection, quorum sensing and virulence in pathogenic
bacteria. Proceedings. Biological sciences / The Royal Society, 279(1742),
3584–8. doi:10.1098/rspb.2012.0843
Hi Scott,
ReplyDeleteI've read this paper too; I think it's a really exciting example of microbiologists using a laboratory natural selection experimental design to test an evolutionary hypothesis which can start to unpick some of the adaptive meaning of the quorum sensing trait. Although the authors only used six generations, or "selection rounds" this was enough for the highly related population of wild type cells to become fixed and the low related population to become extinct. The authors use a prediction of virulence as a surrogate for fitness, which I think is appropriate for this type of study and also allows evolutionary conclusions to be drawn. This study provides good evidence for the fitness advantage gained from quorum-sensing.