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What else could now be learned about microbial evolution using deep sequencing technology?
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Insights from experimental evolution using microbial model systems show that kin competition can indeed drive the evolution of dispersal behaviour.
Resistance is part of the microbial evolution process and the use of antibiotics in human or animals applies a selective pressure favoring resistance to emerge.
Spacer sequences of the CRISPR array could be used to characterize microbial evolution.
Comparative genome analysis using macro-arrays provides insights into microbial evolution and genetic diversity in microbial populations [20], [27].
Elsewhere, they have been used to assess genome plasticity and microbial evolution [ 23].
However, the field decided to call itself "Microbial Ecology" (i.e. International Society for Microbial Ecology) and this is why we chose to use this term, and to be consistent, the term Microbial Evolution.
Then, as a proof of concept, we show how EGN can be used to study the complexity of evolutionary processes affecting microbial evolution.
Other instances of ecological diversification in microbial evolution experiments, for example as reported by Plucain et al. (2014), might be explained using a similar approach.
But given what we now know about prokaryote genome evolution and the contribution of endosymbiosis to eukaryote evolution, it seems rather unlikely that biologists in 20 years will still be using the language of strictly bifurcating trees to describe the relatedness of prokaryotes, and to develop models of microbial evolution.
Many studies involve determining the genomic abnormalities in tumor cells, but the technique has also been used in bacteria [ 1- 6] and yeast [ 7- 9] to investigate diverse topics such as genotyping, pathogenicity, and microbial evolution.
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