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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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Phylogenetic Trees03:21

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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...
Microbial Phylogeny01:28

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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,...
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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 12, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Language trees not equal gene trees.

James Steele1, Anne Kandler

  • 1AHRC Centre for the Evolution of Cultural Diversity, Institute of Archaeology, University College London, London, UK. j.steele@ucl.ac.uk

Theory in Biosciences = Theorie in Den Biowissenschaften
|June 10, 2010
PubMed
Summary
This summary is machine-generated.

Language evolution can be modeled using phylogenetic trees, but these trees may not always reflect population history. Language death dynamics, influenced by cultural shifts, can cause divergence between linguistic and demographic trees.

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A Practical Guide to Phylogenetics for Nonexperts
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Related Experiment Videos

Last Updated: Jun 12, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

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Published on: August 14, 2018

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
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A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Area of Science:

  • Historical Linguistics
  • Population Genetics
  • Computational Phylogenetics

Background:

  • Darwin noted parallels between species and language evolution.
  • Phylogenetic models are commonly used to reconstruct language descent histories.
  • A key assumption is that linguistic trees mirror population history.

Purpose of the Study:

  • To question the assumption that phylogenetic language trees represent bifurcating population histories.
  • To investigate the dynamics of language death and shift.
  • To explore the congruence between genetic and culture-historical processes.

Main Methods:

  • Analysis of trait distributions using tree-building techniques.
  • Examination of historical census data from Gaelic- and English-speaking populations in Sutherland, Scotland.
  • Modeling language death as a result of language shift.

Main Results:

  • Phylogenetic models can explain linguistic trait distributions.
  • Language shift can lead to language death, creating divergence from population history.
  • Selective cultural migration significantly impacts language extinction rates.

Conclusions:

  • Linguistic phylogenetic trees may not accurately represent population history.
  • Language death dynamics, driven by cultural shifts, are crucial for understanding linguistic diversity.
  • The congruence between genetic and cultural processes is variable and influenced by migration.