Molecular Evolution Method
Molecular Evolution Method - Related Videos
12:02
Molecular Evolution of the Tre Recombinase
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Cited by 4 •
2008
Here we report the generation of Tre recombinase through directed, molecular evolution. Tre recombinase recognizes a pre-defined target sequence within the LTR sequences of the HIV-1 provirus, resulting in the excision and eradication of the provirus from infected human cells. While still in its infancy, directed molecular evolution will allow the creation of custom enzymes that will serve as tools of molecular surgery and molecular medicine.
02:55
The Evidence for Evolution
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2026
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.The collection of fossils within sedimentary rocks give a record of common ancestry and often depicts the history of evolution.
10:50
Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
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Cited by 10 •
2016
We present a detailed protocol to construct and screen mutant libraries for directed evolution campaigns in Saccharomyces cerevisiae.
01:54
Convergent Evolution
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2026
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.The structures that arise from convergent evolution are called analogous structures. They are similar in function even if they are dissimilar in structure. Further, structures can be analogous while also...
15:00
Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
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Cited by 10 •
2023
This protocol describes how to maintain the Escherichia coli Long-Term Evolution Experiment (LTEE) by performing its daily transfers and periodic freeze-downs and how to conduct competition assays to measure fitness improvements in evolved bacteria. These procedures can serve as a template for researchers starting their own microbial evolution experiments.
FAQs
Sequence-evolution models provide a framework for interpreting differences among DNA, RNA, or protein sequences. They represent how substitutions and other mutations may accumulate and allow researchers to distinguish patterns of molecular change from inferred biological relationships. Because the resulting phylogenetic or rate estimates depend on the chosen model and its assumptions, model-based conclusions require careful interpretation.
Homologous sequences provide a meaningful basis for comparison because they represent corresponding genetic or protein sequences considered in relation to common ancestry. Researchers examine aligned differences, including substitutions and other mutations, to identify patterns of change among related genes or organisms. This comparison supports inference of evolutionary relationships rather than treating every sequence difference as independent evidence.
Molecular-clock analyses estimate when evolutionary lineages diverged by relating sequence change to an inferred rate of molecular change. Their results depend on defined assumptions about that rate and how changes accumulated through time. Consequently, a divergence estimate is not simply a direct measurement from sequence differences; it is a model-based result whose interpretation must remain consistent with those assumptions.
A typical analysis begins by selecting comparable DNA, RNA, or protein sequences and identifying homologous regions. Researchers then examine substitutions and other mutations, apply an appropriate model of sequence evolution, and use the results for phylogenetic reconstruction or molecular-clock analysis. The final interpretation connects inferred relationships, ancestral states, or rates of change with the biological question.
Phylogenetic reconstruction organizes sequence comparisons into patterns that can reveal common ancestry among genes or organisms. It helps researchers evaluate how sampled lineages are related and can support inferences about ancestral states. In biology, these relationships provide a framework for interpreting sequence change alongside organismal history, rather than viewing mutations as isolated molecular observations.
These methods are useful when researchers need to connect molecular sequence data with biological history or function. Applications include investigating biodiversity, genome function, adaptation, and disease evolution. Depending on the analysis, results may reveal relationships among lineages, suggest ancestral characteristics, or quantify molecular change, allowing evolutionary hypotheses to be examined with sequence-based evidence.