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Beyond the error threshold, the population is delocalized over the whole sequence space.
In any case, neither the delocalization beyond the error threshold nor the loss of the master sequence can be associated to a critical loss of information.
We will now study how the population distribution beyond the error threshold changes when the robustness of some Hamming classes is modified.
When either the amplification factor or the robustness of some mutant Hamming classes is changed, the population distribution beyond the error threshold departs from the uniform distribution.
In light of the results and interpretations presented in this paper, we think that is quite inaccurate to speak of any kind of crisis beyond the error threshold.
Beyond the error threshold, a quasispecies is delocalized over the sequence space in such a way as to produce a uniform population distribution.
Similar(47)
Moreover, beyond the error thresholds, changing the quality factor of some sequences modifies the population distribution at the error catastrophe, displacing it towards the flatter regions of the mutant phenotype.
In some fitness landscapes it also predicts the existence of a maximum mutation rate, called the error threshold, beyond which the quasispecies enters into error catastrophe, losing its genetic information.
That is to say, for q < qc the mutant phenotype has a selective advantage over the master phenotype, so s > 0. It would therefore be incorrect to say that selection prevails before the error threshold, while mutation prevails beyond it.
However the error threshold is the genomic mutation rate beyond which the information in the molecules that compose the quasispecies loses sense due to mutational degeneracy [ 29].
Instead, the master phenotype is selected before the error threshold, while the mutant phenotype is selected beyond this threshold.
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beyond the error catastrophe
beyond the error error-threshold
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beyond the error value
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