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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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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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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...
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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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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

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Published on: August 14, 2018

Stable tRNA-based phylogenies using only 76 nucleotides.

Jeremy Widmann1, J Kirk Harris, Catherine Lozupone

  • 1Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA

RNA (New York, N.Y.)
|June 19, 2010
PubMed
Summary
This summary is machine-generated.

Transfer RNAs (tRNAs) can effectively trace universal phylogeny, despite challenges like horizontal gene transfer. Analyzing complete tRNA pools with UniFrac reveals evolutionary patterns comparable to rRNA trees.

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Last Updated: Jun 12, 2026

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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:

  • Molecular Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Transfer RNAs (tRNAs) are ancient, conserved molecules, but their utility as phylogenetic markers is debated due to their short length, horizontal gene transfer, and changing specificity.
  • Traditional phylogenetic analyses often rely on ribosomal RNA (rRNA) or protein-coding genes.

Purpose of the Study:

  • To investigate the phylogenetic utility of complete transfer RNA (tRNA) pools across all three domains of life.
  • To assess the effectiveness of the UniFrac algorithm in reconstructing universal phylogeny using tRNA data.

Main Methods:

  • Utilized the UniFrac algorithm, a common tool in microbial ecology, to cluster 175 genomes.
  • Analyzed the phylogenetic relationships derived from complete tRNA pools.
  • Compared trees generated from complete tRNA pools with those from individual isoacceptors and rRNA trees.

Main Results:

  • The phylogenetic tree derived from complete tRNA pools closely mirrored the universal phylogeny, showing remarkable concordance with bootstrapped rRNA trees.
  • Trees constructed from tRNAs of identical specificity or individual isoacceptors generally yielded lower quality phylogenetic reconstructions.
  • Certain individual tRNA isoacceptors demonstrated strong predictive power for organismal evolutionary patterns.

Conclusions:

  • Complete tRNA pools, when analyzed with UniFrac, provide a robust and reliable method for reconstructing universal phylogeny.
  • The UniFrac algorithm can successfully extract meaningful evolutionary signals from tRNA data, even in the presence of horizontal gene transfer and statistical inaccuracies.
  • Overall tRNA evolution tracks universal phylogeny, offering a valuable framework for studying the evolution of individual tRNA isoacceptors.