Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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...
5.7K
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

12.0K
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...
12.0K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.0K
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...
7.0K
Genomics02:02

Genomics

35.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.8K
Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

43.4K
The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
Although bacterial genomes are much...
43.4K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

7.9K
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.
7.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Metagenomic analysis of goat feces from Ogliastra (Sardinia, Italy).

Frontiers in microbiomes·2026
Same author

A Novel Affordable and Reliable Framework for Accurate Detection and Comprehensive Analysis of Somatic Mutations in Cancer.

International journal of molecular sciences·2024
Same author

VariantAlert: A web-based tool to notify updates in genetic variant annotations.

Human mutation·2022
Same author

Involvement of a novel Pseudomonas protegens strain associated with entomopathogenic nematode infective juveniles in insect pathogenesis.

Pest management science·2022
Same author

Genome Sequence of Beauveria bassiana Strain ATCC 74040, a Widely Employed Insect Pathogen.

Microbiology resource announcements·2020
Same author

Phytoplasma SAP11 effector destabilization of TCP transcription factors differentially impact development and defence of Arabidopsis versus maize.

PLoS pathogens·2019

Related Experiment Video

Updated: Jun 2, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

CompàreGenome: a command-line tool for genomic diversity estimation in prokaryotes and eukaryotes.

Gabriele Moro1, Rossano Atzeni2, Ali Al-Subhi3

  • 1Technology Park of Sardinia, Bioecopest Srl, SP 55 Km 8.400, Tramariglio, Alghero, SS, Italy. gmoro@bioecopest.com.

BMC Bioinformatics
|January 13, 2025
PubMed
Summary

CompàreGenome is a new command-line tool for genomic diversity estimation. It helps identify genetic features, conserved and divergent genes, and quantify genetic distances for prokaryotes and eukaryotes.

Keywords:
Bioinformatics toolComparative genomicsFunctional annotationMicroorganisms

More Related Videos

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

9.1K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

10.9K

Related Experiment Videos

Last Updated: Jun 2, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

9.1K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

10.9K

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Comparative genomics is crucial for understanding organismal differences.
  • Existing tools can be complex to select during early-stage analysis.
  • A need exists for user-friendly tools for initial genomic diversity assessments.

Purpose of the Study:

  • Introduce CompàreGenome, a command-line tool for genomic diversity estimation.
  • Facilitate early-stage comparative genomic analyses for prokaryotes and eukaryotes.
  • Simplify the identification of genetic variations and similarities.

Main Methods:

  • CompàreGenome analyzes genomic data to identify unique features.
  • The tool detects conserved and divergent genes.
  • Functional annotation and strain-level discrimination are performed.

Main Results:

  • Successfully identified specific genetic features across tested organisms.
  • Pinpointed conserved and highly divergent genes with functional annotations.
  • Quantified genetic distances using three analytical methods and distinguished organisms at the strain level.

Conclusions:

  • CompàreGenome provides actionable insights into genomic differences.
  • The tool is valuable for initial exploration of genomic diversity.
  • Applicable to various genome sizes, particularly microbial genomes.