Jove
Visualize
Contact Us

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Multi-regional transcriptomic profiling reveals divergent molecular mechanisms in ALS-related neurodegeneration.

PLoS genetics·2026
Same author

Non-canonical amino acid incorporation enables minimally disruptive labeling of stress granule and TDP-43 proteinopathy.

eLife·2026
Same author

Ubiquitin ligase ITCH regulates life cycle of SARS-CoV-2 virus.

eLife·2026
Same author

Corrigendum to CRISPR/Cas13d targeting suppresses repeat-associated non-AUG translation of C9orf72 hexanucleotide repeat RNA.

The Journal of clinical investigation·2026
Same author

UBQLN2 links proteotoxicity with lipid metabolism in neurodegeneration.

Nature neuroscience·2026
Same author

A Deep Quantitative Proteome Turnover Platform for Human iPSC-derived Neurons.

bioRxiv : the preprint server for biology·2026
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 Experiment Video

Updated: Nov 4, 2025

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
06:18

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

Published on: July 11, 2025

490

Fast genetic mapping using insertion-deletion polymorphisms in Caenorhabditis elegans.

Ho-Yon Hwang1, Jiou Wang2

  • 1Department of Biochemistry and Molecular Biology, Department of Neuroscience, Johns Hopkins University, 615 N. Wolfe Street, E8410, Baltimore, MD, 21205, USA.

Scientific Reports
|May 27, 2021
PubMed
Summary

This study introduces a fast, affordable genetic mapping toolkit for Caenorhabditis elegans. The method efficiently identifies mutations using insertion-deletion polymorphisms, simplifying genetic analysis.

More Related Videos

A Rapid Protocol for Integrating Extrachromosomal Arrays With High Transmission Rate into the C. elegans Genome
06:33

A Rapid Protocol for Integrating Extrachromosomal Arrays With High Transmission Rate into the C. elegans Genome

Published on: December 9, 2013

9.2K
A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins
08:37

A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins

Published on: April 30, 2018

7.8K

Related Experiment Videos

Last Updated: Nov 4, 2025

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
06:18

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

Published on: July 11, 2025

490
A Rapid Protocol for Integrating Extrachromosomal Arrays With High Transmission Rate into the C. elegans Genome
06:33

A Rapid Protocol for Integrating Extrachromosomal Arrays With High Transmission Rate into the C. elegans Genome

Published on: December 9, 2013

9.2K
A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins
08:37

A Rapid and Facile Pipeline for Generating Genomic Point Mutants in C. elegans Using CRISPR/Cas9 Ribonucleoproteins

Published on: April 30, 2018

7.8K

Area of Science:

  • Genetics
  • Molecular Biology
  • Developmental Biology

Background:

  • Genetic mapping is crucial for identifying mutations causing specific phenotypes.
  • Whole-genome sequencing aids mutation identification, but mapping remains essential for pinpointing causal variants.
  • Current mapping methods can be time-consuming and require substantial genetic material.

Purpose of the Study:

  • To develop a simple, fast, and affordable genetic mapping toolkit for Caenorhabditis elegans.
  • To utilize insertion-deletion polymorphisms (indels) for efficient mapping.
  • To provide a versatile mapping strategy applicable to various wild isolates.

Main Methods:

  • Developed a toolkit optimized for minimal genetic material requirements.
  • Employed insertion-deletion polymorphisms (indels) instead of single nucleotide polymorphisms (SNPs).
  • Validated the method by mapping known and unknown mutations in Caenorhabditis elegans.

Main Results:

  • The toolkit enables rapid mapping using small amounts of genetic material.
  • Insertion-deletion polymorphisms provide a robust alternative for mapping.
  • Demonstrated the toolkit's efficacy and limitations across various mutations.
  • Provided an annotated list of indels for mapping with alternative wild isolates.

Conclusions:

  • The developed toolkit offers a significant improvement in speed and cost-effectiveness for genetic mapping in C. elegans.
  • This indel-based mapping strategy complements whole-genome sequencing for comprehensive genetic analysis.
  • The toolkit and associated resources facilitate efficient mutation identification in diverse genetic backgrounds.