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Related Concept Videos

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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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Updated: Jun 16, 2025

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RRmorph-a new R package to map phenotypic evolutionary rates and patterns on 3D meshes.

Marina Melchionna1, Silvia Castiglione2, Giorgia Girardi2

  • 1DiSTAR, University of Naples Federico II, Naples, Italy. marina.melchionna@unina.it.

Communications Biology
|August 17, 2024
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Summary
This summary is machine-generated.

Researchers developed new R software tools to map evolutionary rates and patterns on complex 3D shapes, enhancing our understanding of natural selection

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Area of Science:

  • Evolutionary biology
  • Phylogenetics
  • Quantitative genetics

Background:

  • Understanding how natural selection shapes phenotypic diversity is crucial.
  • Phylogenetic comparative methods aid in studying phenotypic variation.
  • Complex 3D structures like skulls and brains present challenges due to disparate functions of their parts.

Purpose of the Study:

  • To present further developments of tools for charting evolutionary rates and patterns on 3D shapes.
  • To enable the mapping of evolutionary rates and patterns with full biological realism.
  • To provide these advanced tools in a new R software package.

Main Methods:

  • Development of novel computational tools for analyzing evolutionary rates.
  • Application of these tools to map evolutionary rates and patterns directly onto 3D morphological data.
  • Integration of these methods into a user-friendly R software package.

Main Results:

  • The developed tools allow for the restitution of evolutionary rate and pattern mapping on 3D shapes.
  • These advancements provide greater biological realism in evolutionary analyses.
  • A new R package is now available for researchers.

Conclusions:

  • The enhanced tools offer a more comprehensive approach to studying evolution in complex structures.
  • This work facilitates a deeper understanding of how natural selection acts on phenotypes.
  • The R package democratizes access to advanced evolutionary analysis methods.