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Second, fluctuating selection (perhaps based on variation in pond hydroperiod) combined with overlapping generations [ 51], which is common in CTS populations [ 52], could create a mixture of sympatric breeding adults that experienced alternative selection regimes as larvae, generating a stable fitness minimum [ 53, 54].
It is possible that the time required for robustness to confer a fitness advantage was longer than 5 × 104 updates, but after such long time the initial differences in robustness may have vanished or, alternatively, populations might have already been confined to a stable fitness value.
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The key and novel aspect of our optimization procedure is the on-the-fly automated creation of highly accurate and stable surrogate fitness functions based on artificial neural networks (ANNs).
Thus, our observations in the wild and the low average viability of contemporary hybrids documented here both strongly conflict with the prediction that ~20 generations of selection in the wild should have eliminated low-fitness genotypes and distilled a genetically stable, high-fitness hybrid lineage.
Stress in the form of reiterated desiccations seemed to help both bdelloid species to keep fitness stable; in contrast under stable conditions, like permanent hydration, these bdelloid species had poorer performances.
In an earlier study, we reported that stable or improved fitness over 7 years was associated with a lower likelihood of development of diabetes compared with decreasing fitness in middle-aged young adults (11).
For example, an animal consisting only of blue alleles (all bricks exactly on top of each other) will be inherently stable and have zero fitness.
Knowing how to engineer stable attenuation (permanent, low fitness) might lead to a vaccine more conducive to eradication.
Mutation selection balance cannot be achieved if the distribution of selective coefficients is independent of fitness; a stable equilibrium requires that there be an increased tendency toward acceptance of deleterious mutations as the fitness increases (Cherry 1998).
A 7-fold cross-validation was used to estimate the robustness and the predictive ability of our model [ 27], and the parameters for the classification from the software were RY = 0.90 and QY = 0.48, which were stable and good to fitness and prediction, respectively.
For a signalling system to be stable, signals must confer net fitness benefits to senders and receivers, which means that some aspect of their design must correlate with a quality that receivers benefit from knowing about.
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