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Related Concept Videos

Speciation Rates01:07

Speciation Rates

Speciation can proceed at markedly different rates, and evolutionary biologists commonly describe these differences through the models of gradualism and punctuated equilibrium. Both patterns explain how new species arise, but they differ in the tempo and continuity of evolutionary change. In both cases, evolutionary change arises from heritable variation within populations, with natural selection often shaping traits that improve survival and reproduction under specific environmental conditions.
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Genetic Drift03:33

Genetic Drift

Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.Life is not fair. A deer grazing contentedly in a field can have her meal cut tragically short by a bolt of lightning. If the doomed doe is one of only three in the population, 1/3 of the population’s gene pool is lost. Random events like this can...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...

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Related Experiment Video

Updated: Jun 10, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Interpreting the gamma statistic in phylogenetic diversification rate studies: a rate decrease does not necessarily

James A Fordyce1

  • 1Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America. jfordyce@utk.edu

Plos One
|July 30, 2010
PubMed
Summary
This summary is machine-generated.

The gamma statistic is highly sensitive to recent diversification rates, not necessarily early bursts. This method is more powerful for detecting recent rate decreases than early diversification events.

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Resurrection of Dormant Daphnia magna: Protocol and Applications
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Resurrection of Dormant Daphnia magna: Protocol and Applications

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Related Experiment Videos

Last Updated: Jun 10, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
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Resurrection of Dormant Daphnia magna: Protocol and Applications
07:37

Resurrection of Dormant Daphnia magna: Protocol and Applications

Published on: January 19, 2018

Area of Science:

  • Phylogenetics
  • Evolutionary Biology
  • Computational Biology

Background:

  • Phylogenetic hypotheses aid in understanding diversification rate variation.
  • Hypothesis testing compares branching times to pure-birth models.
  • The gamma statistic is used to infer speciation rate decreases, suggesting early diversification bursts.

Purpose of the Study:

  • To examine the sensitivity of the gamma statistic to branching time distributions.
  • To identify trees with significant gamma statistics that lack early lineage accumulation.
  • To assess the gamma statistic's power in detecting diversification rate changes over time.

Main Methods:

  • Simulations under various conditions to test gamma statistic sensitivity.
  • Lineages Through Time (LTT) plots and tree deviation analysis.
  • Assessment of gamma statistic power for detecting rate decreases at different times.

Main Results:

  • The gamma statistic is highly sensitive to recent diversification rates.
  • Significant gamma statistics do not always indicate early bursts of diversification.
  • Gamma statistic demonstrated greater power in detecting recent rate decreases.

Conclusions:

  • The gamma statistic is not a reliable indicator of early diversification bursts.
  • Caution is advised when interpreting the gamma statistic for early rapid diversification.
  • Recent diversification rates significantly influence the gamma statistic's outcome.