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For estimating Ne of the River Näätämö population, in addition to the two source population scenarios described above, Ne was also estimated assuming a single isolated population adapting to assumptions of the method of Wang (2001) also implemented in MNE2.
Even in Sri Lanka, traditional dietary patterns are changing, with the population adapting to more industrialized and urban food environments.
Genome-wide selective sweeps can repeatedly occur in a population adapting to a new environment, each time purging within-population genetic diversity, a phenomenon known as periodic selection [ 9].
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Ecological fitness is the measure of how well an individual or a population adapts to a specific niche.
The rate and effect of available beneficial mutations are key parameters in determining how a population adapts to a new environment.
In Asia, traditional dietary patterns are being lost as the population adapts to more industrialized and urban food environments.
Following this previous work, we performed calculations of the evolvability of each population, defined to be the rate at which the population adapted to its environment.
For example, consider two hypothetical (and for illustrative purposes, oversimplified) conservation proposals to help a threatened population adapt to changing environmental conditions.
In the following, we calculate, first, the probability that a focal allele from the standing genetic variation becomes fixed when the population adapts to a moving phenotypic optimum.
As the population adapts to its new environment, the MHC allelic diversity will be made up of a combination of ancestral polymorphism and novel genetic variation.
However, populations adapting to spatially variable environments often experience gene flow that counteracts adaptive divergence.
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