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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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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.
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The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
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ClockstaRX: Testing Molecular Clock Hypotheses With Genomic Data.

David A Duchêne1,2, Sebastián Duchêne3, Josefin Stiller4

  • 1Center for Evolutionary Hologenomics, University of Copenhagen, Copenhagen 1352, Denmark.

Genome Biology and Evolution
|March 25, 2024
PubMed
Summary

ClockstaRX is a new platform for analyzing evolutionary rates in phylogenomic data. It helps identify key genomic regions and branches influencing evolutionary speed for better molecular clock analyses.

Keywords:
ClockstaRevolutionary ratemolecular clockphylogenomicsrate heterogeneity

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Area of Science:

  • Evolutionary Biology
  • Computational Biology
  • Genomics

Background:

  • Phylogenomic data offer insights into evolutionary rates and timescales.
  • Molecular clock analyses are crucial for these studies but require robust statistical tools.

Purpose of the Study:

  • To introduce ClockstaRX, a flexible platform for exploring and testing evolutionary rate signals in phylogenomic data.
  • To enable data transformation, visualization, and hypothesis testing of evolutionary rates.

Main Methods:

  • Representing evolutionary rate information across gene trees in Euclidean space.
  • Implementing formal statistical tests to identify significant contributors to rate variation.
  • Utilizing simulation studies to guide data exploration and filtering strategies.

Main Results:

  • ClockstaRX facilitates the identification of loci and branches with substantial impact on evolutionary rate variation.
  • The platform aids in testing hypotheses about drivers of genomic evolutionary rates.
  • Simulation results provide recommendations for pre-analysis data handling.

Conclusions:

  • ClockstaRX enhances the analysis of evolutionary rates in phylogenomic datasets.
  • The platform supports hypothesis testing and informs molecular dating models.
  • Recommended data exploration techniques improve the reliability of molecular clock analyses.