Sentence examples for inheritance selection from inspiring English sources

The exhibition links these diverse studies by emphasizing the interaction of four fundamental evolutionary principles: variation, inheritance, selection, and time (VIST).

Students at lower levels, who might not yet be ready to integrate variation, inheritance, selection, and time, can develop understandings of individual VIST components.

The concept of VIST variation, inheritance, selection, and time can help us understand long-term change in many different situations: from the shift in body size in a population of heavily netted fish to the divergence of languages.

These ingredients which you can remember with the handy mnemonic VIST (variation, inheritance, selection, and time; Understanding Evolution. Focus on the Fundamentals 2006)—inevitably lead to evolution via natural selection.

The VIST conceptual framework (used with permission from the University of California Museum of Paleontology) served as a unifying theme throughout the exhibition, with specific information about how variation, inheritance, selection, and time all play a role in the evolution of each organism (see Fig. 2 for an example).

For example, you could challenge your students to read the following articles and they identify and explain the variation, inheritance, selection, and time that underlie the central evolutionary phenomena in each: From the origin of life to the future of biotech.

In the end, students will have a greater understanding of inheritance, selective sweeps and hitchhiking, and will have literally observed evolution by natural selection within their classroom.

Because languages experience variation, inheritance, and selection over long periods of time, they can evolve in a process that parallels biological natural selection.

It is developed based on evolutionary biologies such as inheritance, mutation, selection, and crossover (i.e., recombination).

GAs generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

This heuristic is routinely used to generate practical solutions to optimization and searching problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.