Sentence examples for mutation random from inspiring English sources

The four factors that can bring about such a change are: natural selection, mutation, random genetic drift, and migration into or out of the population.

In light of recent findings on the molecular natural history of splicing, various aspects of the phylogenetic and physical distributions of introns can now be interpreted in a theoretical framework that jointly considers the population-genetic roles of mutation, random genetic drift, and natural selection.

His grand theory of adaptive evolution, which is called the Shifting Balance Theory, included the processes of mutation, random genetic drift, migration, and two kinds of natural selection; natural selection acting between individuals within local populations or demes to increase individual fitness and natural selection acting among local demes to increase average individual fitness.

In this view, four evolutionary forces (mutation, random genetic drift, natural selection, and gene flow) acting within and among populations cause micro-evolutionary change and these processes are sufficient to account for macro-evolutionary patterns, which arise in the longer term from the collective action of these forces.

According to theory, a driving force behind evolutionary change is genetic mutation, random changes in genetic codes that alter biological structures and processes, some, but very few, to the selective benefit of the species.

At each generation a low level of mutation (random substitution of variables at a frequency of 0.01) was allowed to avoid trapping in local optima.

Alternative mutational processes (e.g. random point mutations, random indels, etc).

Distribution of responses chosen by students in the workbook or tutorial classes for question assessing the mutations random key concept on the summative assessment in study 2.

Studies using limited numbers of mutations, random or affecting a specific trait, also showed that epistasis is common, although lower levels of interactions were found.

Namely, we extended the ES algorithm by including variable size mutations, random mutation schemes, and a heuristic algorithm that defines the "reasonable" places of mutation (for large-scale problems) (Mester et al. 2010).

Since background mutations may appear at a low frequency, the selection was run in triplicate in order to distinguish resistance-conferring mutations from random mutations.