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What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
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Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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Variation01:19

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
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Global Rate Variation in Bony Vertebrates.

Naoko Takezaki1

  • 1Life Science Research Center, Kagawa University, Kitagun, Kagawa, Japan.

Genome Biology and Evolution
|June 23, 2018
PubMed
Summary

This study reveals significant differences in evolutionary substitution rates among vertebrate lineages. Early vertebrate stem lineages exhibited higher rates than later diverging groups, impacting divergence time estimates.

Area of Science:

  • Evolutionary Biology
  • Molecular Phylogenetics
  • Comparative Genomics

Background:

  • Understanding long-term molecular evolutionary rates is crucial for accurate phylogenetic reconstructions.
  • Previous studies have faced challenges in calibrating molecular clocks due to rate heterogeneity across lineages and time.

Purpose of the Study:

  • To investigate long-term substitution rate differences across major vertebrate lineages.
  • To refine divergence time estimates using multiple calibration points and extensive gene data.
  • To assess the impact of rate variation on phylogenetic relationships and divergence timing.

Main Methods:

  • Analysis of amino acid sequences from 625 genes across 25 bony vertebrate species.
  • Utilized three key calibration points: lobe-finned vs. ray-finned fish, mammals vs. sauropsids, and holosteans vs. teleosts.

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  • Employed phylogenetic methods to infer substitution rates and divergence times.

    • Main Results:

    • Substitution rates were 2-3 times higher in stem lobe-finned vertebrates than in amniotes.
    • Ray-finned fish stem lineages showed higher rates than holosteans but similar or slower rates than teleosts.
    • Divergence times for coelacanth and lungfish were estimated at 408-427 Ma and 399-414 Ma, respectively.
    • Mammalian ordinal divergences were estimated to be earlier than previously thought, with deeper splits before the Cretaceous-Paleogene boundary.
    • Avian divergence times, particularly for Galliformes, Anseriformes, and Galloanserae-Neoaves, were estimated to be later than in prior studies.

    Conclusions:

    • Early vertebrate stem lineages experienced accelerated molecular evolution.
    • The choice of calibration points significantly impacts divergence time estimates, especially for mammals and birds.
    • Accurate phylogenetic inference requires accounting for lineage-specific rate variations.