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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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Genome Size and the Evolution of New Genes03:21

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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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Gene Duplication and Divergence02:37

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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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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Related Experiment Video

Updated: Jan 1, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Estimating Pangenomes with Roary.

Farrah Sitto1, Fabia U Battistuzzi1,2

  • 1Department of Biological Sciences, Oakland University, Rochester, MI.

Molecular Biology and Evolution
|December 19, 2019
PubMed
Summary

Understanding the pangenome reveals species-wide genetic diversity beyond single genomes. Roary software analyzes core and accessory genes, aiding in phenotype and adaptation studies.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Single genome analysis is insufficient for understanding species-level genetic diversity.
  • Gene repertoire variability among strains impacts phenotype and adaptation.
  • Pangenome analysis offers a comprehensive view of a species' genetic makeup.

Purpose of the Study:

  • To present a protocol for pangenome analysis using Roary software.
  • To demonstrate how Roary identifies core and accessory genes across multiple genomes.
  • To facilitate functional analysis of gene presence/absence for understanding adaptations.

Main Methods:

  • Utilizing Roary, a Linux-native pangenome application.
  • Analyzing gene presence and absence across multiple microbial genomes.
  • Generating both textual and graphical outputs for core and accessory gene data.
Keywords:
Roaryaccessory genescore genespangenome

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Main Results:

  • Roary provides an overview of core and accessory genes for general trends.
  • Detailed gene presence/absence information is available for in-depth genomic analyses.
  • Results are presented in accessible text and graphic formats.

Conclusions:

  • Pangenome analysis using Roary enhances understanding of species genetic diversity.
  • Roary facilitates the exploration of genotype-phenotype correlations.
  • The software supports both broad and detailed investigations into microbial genomes.