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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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Gene Evolution - Fast or Slow?02:05

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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.
In contrast, regions which code...
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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Genome Size and the Evolution of New Genes03:21

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Related Experiment Video

Updated: Jul 17, 2025

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

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Analyzing microbial evolution through gene and genome phylogenies.

Sarah Teichman1, Michael D Lee2, Amy D Willis3

  • 1Department of Statistics, University of Washington.

Biorxiv : the Preprint Server for Biology
|August 30, 2023
PubMed
Summary
This summary is machine-generated.

Microbiome researchers can now visualize gene evolution with a new R package. This tool aids in analyzing microbial genome evolution by treating gene phylogenies as data objects for better insights.

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Area of Science:

  • Microbiology
  • Computational Biology
  • Evolutionary Biology

Background:

  • Microbiome research requires advanced tools for analyzing microbial evolution at the whole genome and gene levels.
  • Individual genes within a genome can experience different evolutionary pressures, leading to distinct evolutionary histories.

Approach:

  • We introduce an interactive method to analyze collections of gene phylogenies by treating them as data objects.
  • A local linear approximation of phylogenetic tree space is used to visualize gene trees in low-dimensional Euclidean space.
  • This approach overcomes limitations of existing methods, enabling intuitive visualization of complex data.

Key Points:

  • The method facilitates the identification of outlier gene histories, as demonstrated in *Prevotella* strains.
  • It allows for the comparison of *Streptococcus* phylogenies based on different gene sets.
  • The approach is implemented as an open-source R package for estimating, visualizing, and interacting with bacterial gene phylogenies.

Conclusions:

  • This novel visualization and analysis method enhances the exploration of microbial genome evolution.
  • The open-source R package provides a practical tool for microbiome scientists studying gene-level evolutionary dynamics.
  • The approach offers intuitive insights into complex phylogenetic data, advancing statistical genetics in microbiome research.