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

Synteny and Evolution02:31

Synteny and Evolution

3.2K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.2K
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

You might also read

Related Articles

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

Sort by
Same author

Reply to Du: Differences in experimental setting make validation harder.

American journal of obstetrics & gynecology MFM·2026
Same author

End-to-end evaluation of pipelines for metagenome-assembled genomes reveals hidden performance gaps.

bioRxiv : the preprint server for biology·2026
Same author

A generalizable cross-continent prediction of esophageal squamous cell carcinoma using the oral microbiome.

Communications medicine·2026
Same author

Comparative metagenomics using pan-metagenomic graphs.

bioRxiv : the preprint server for biology·2025
Same author

A generalizable cross-continent prediction of esophageal squamous cell carcinoma using the oral microbiome.

bioRxiv : the preprint server for biology·2025
Same author

Distributional bias compromises leave-one-out cross-validation.

Science advances·2025
Same journal

Large-scale discovery platform enables identification of peptides targeting drug-resistant candidiasis.

Cell reports methods·2026
Same journal

A computational method to design broad-spectrum T cell-inducing vaccines applied to Betacoronaviruses.

Cell reports methods·2026
Same journal

MalDeepSeq panel: A targeted ultra-deep sequencing approach to trace drug resistance markers in Plasmodium falciparum.

Cell reports methods·2026
Same journal

Induced pluripotent stem cell-derived macrophages enable broad modeling of human inflammasome signaling.

Cell reports methods·2026
Same journal

Rapid discovery of cell-surface glycosylation regulators using a lectin-based magnetic CRISPR screen.

Cell reports methods·2026
Same journal

A real-time FRET ubiquitin transfer assay for quantitative characterization of ternary complexes in targeted protein degradation.

Cell reports methods·2026
See all related articles

Related Experiment Video

Updated: Jun 12, 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

Microsynteny is a powerful front for microbial strain tracking.

Peiwen Cai1, Tal Korem2

  • 1Program for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.

Cell Reports Methods
|September 17, 2024
PubMed
Summary
This summary is machine-generated.

Genomic diversity is shaped by mutations and structural variations. A new tool, SynTracker, enables scalable strain tracking using microsynteny, even with low-coverage metagenomic data.

More Related Videos

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

17.0K
Using Coculture to Detect Chemically Mediated Interspecies Interactions
08:29

Using Coculture to Detect Chemically Mediated Interspecies Interactions

Published on: October 31, 2013

13.5K

Related Experiment Videos

Last Updated: Jun 12, 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
Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis
10:08

Genetic Mapping of Thermotolerance Differences Between Species of Saccharomyces Yeast via Genome-Wide Reciprocal Hemizygosity Analysis

Published on: August 12, 2019

17.0K
Using Coculture to Detect Chemically Mediated Interspecies Interactions
08:29

Using Coculture to Detect Chemically Mediated Interspecies Interactions

Published on: October 31, 2013

13.5K

Area of Science:

  • Genomics
  • Bioinformatics
  • Microbial Ecology

Background:

  • Genomic diversity arises from point mutations and structural variations.
  • Current strain-tracking methods primarily focus on point mutations.
  • Limited tools exist for analyzing structural variations in metagenomic data.

Purpose of the Study:

  • Introduce SynTracker, a novel tool for scalable strain tracking.
  • Enable the analysis of genomic diversity using microsynteny in low-coverage metagenomic samples.
  • Advance the study of microbial populations by incorporating structural variation analysis.

Main Methods:

  • Developed SynTracker, a computational tool for strain tracking.
  • Utilized microsynteny (conserved gene order) for analysis.
  • Applied the tool to low-coverage metagenomic datasets.

Main Results:

  • SynTracker provides scalable strain tracking capabilities.
  • The tool effectively analyzes genomic diversity using microsynteny.
  • Demonstrated utility in low-coverage metagenomic settings.

Conclusions:

  • SynTracker offers a new approach for analyzing microbial genomic diversity.
  • Microsynteny-based strain tracking is feasible in challenging metagenomic data.
  • The tool has implications for understanding population structure and evolution.