There are concerns that 12 January earthquake could be the beginning of a new long-term sequence: "the whole region is fearful"; historical accounts, although not precise, suggest that there has been a sequence of quakes progressing westwards along the fault, starting with an earthquake in the Dominican Republic in 1751.
At any rate, this piece might stimulate other studies trying to understand long-term sequence evolution in the light of population genetics.
However, an advantage is the long-term sequence of well-dated deposits and the direct comparability of the bioarchaeological remains obtained from the same samples.
We note that, because Daphnia and Mesocyclops last shared a common ancestor hundreds of millions of years ago, this analysis would only detect genes exhibiting long-term sequence conservation, likely reflecting high levels of functional constraint.
Referee 1: Nicolas Galtier CNRS-Université Montpellier II Montpellier, France This manuscript implements a very good idea, namely injecting population genetic parameters, typically used to model microevolution, in substitution matrices, typically used to model long-term sequence evolution.
Findings from the household survey and key informant interviews provide some support for the forest transition theory a long-term sequence from initial deforestation due to human settlement to eventual forest recovery (Mather 1992).
Because of the above mentioned specificities, the scenario of satDNA evolution unifies array homogeneity and long-term sequence stability together with the ability of the satDNA library to act as a reservoir of sequences that allow rapid changes through expansions and contractions of arrays (Plohl et al. 2008).
Long-term sequence divergence is thought to be the product of the cumulative effects of short-term processes occurring in populations, with sites that are least tolerant to new mutations being less "evolvable" and thus more likely to show evolutionary stasis.
Gathering background observations over long-term sequences has the advantage that lighting variation can be included in the background training set.
First, we establish a strong limit theorem for the log-optimal portfolio of any sequence investment, then we obtain the result that the average return of the long term behavior of a sequence investment converges to the average of the expectation return in every period with probability 1 under some conditions.
In a long term, by feeding the sequence libraries with the recursive use of de novo methods, we can expect to cover a sufficient sequence space to solely used similarity-searches methods.
