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

You might also read

Related Articles

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

Sort by
Same author

Metabolite Fraction Libraries for Quantitative NMR Metabolomics.

Analytical chemistry·2026
Same author

<sup>13</sup>C NMR as a foundation for machine learning models of polysaccharides.

Structural dynamics (Melville, N.Y.)·2026
Same author

Higher Lipid Saturation in Well-Irrigated Georgia Cotton Plants: A Field-Based NMR Metabolomics Study.

bioRxiv : the preprint server for biology·2026
Same author

Identification and classification of ion channels across the tree of life provide functional insights into understudied CALHM channels.

eLife·2026
Same author

PFOA induced metabolic and immune perturbations in a SARS-2 infection model.

bioRxiv : the preprint server for biology·2026
Same author

NMRhub: An NMR Data Ecosystem Spanning the Complete Data Lifecycle.

Journal of molecular biology·2026

Related Experiment Video

Updated: Jul 18, 2025

Computational Analysis of the Caenorhabditis elegans Germline to Study the Distribution of Nuclei, Proteins, and the Cytoskeleton
08:01

Computational Analysis of the Caenorhabditis elegans Germline to Study the Distribution of Nuclei, Proteins, and the Cytoskeleton

Published on: April 19, 2018

6.4K

Computational analysis of variation in C. elegans ugts.

Muhammad Zaka Asif1,2, Maci C Benveniste3,2, Kyra D Chism3,2

  • 1Department of Biochemistry & Molecular Biology, University of Georgia, Athens, Georgia, United States.

Micropublication Biology
|August 24, 2023
PubMed
Summary

Uridine diphosphate-glycosyltransferases (UGTs) in Caenorhabditis elegans show significant variation across wild isolates. This study identified 18 hyper-divergent UGT genes, contributing to understanding their role in innate immunity.

More Related Videos

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

12.8K
Determining Genetic Expression Profiles in C. elegans Using Microarray and Real-time PCR
10:27

Determining Genetic Expression Profiles in C. elegans Using Microarray and Real-time PCR

Published on: July 30, 2011

23.3K

Related Experiment Videos

Last Updated: Jul 18, 2025

Computational Analysis of the Caenorhabditis elegans Germline to Study the Distribution of Nuclei, Proteins, and the Cytoskeleton
08:01

Computational Analysis of the Caenorhabditis elegans Germline to Study the Distribution of Nuclei, Proteins, and the Cytoskeleton

Published on: April 19, 2018

6.4K
Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

12.8K
Determining Genetic Expression Profiles in C. elegans Using Microarray and Real-time PCR
10:27

Determining Genetic Expression Profiles in C. elegans Using Microarray and Real-time PCR

Published on: July 30, 2011

23.3K

Area of Science:

  • Genomics
  • Molecular Biology
  • Immunology

Background:

  • Caenorhabditis elegans are a model organism with extensive genomic data.
  • Uridine diphosphate-glycosyltransferases (UGTs) are crucial for xenobiotic detoxification via Phase II metabolism.
  • Limited knowledge exists on UGT gene variation in wild C. elegans isolates and its impact on immunity.

Purpose of the Study:

  • To analyze the diversity of UGT genes across geographically diverse C. elegans isolates.
  • To identify hyper-divergent UGT genes and assess their variation.
  • To investigate the relationship between UGT gene variation and potential effects on innate immune response.

Main Methods:

  • Cataloged UGTs in the N2 reference strain and constructed a phylogenetic tree.
  • Quantified UGT gene variation in C. elegans isolates from the CaeNDR database.
  • Identified hyper-divergent UGT genes and analyzed minor allele frequencies (MAF > 0.05).

Main Results:

  • Analysis of 67 UGT genes revealed 18 hyper-divergent genes.
  • Cataloged MAF for all UGTs and compared with CaeNDR's hyper-divergent classifications.
  • Demonstrated significant variation within the UGT gene family across wild isolates.

Conclusions:

  • This research enhances understanding of UGT gene diversity in C. elegans.
  • Identified hyper-divergent UGTs provide targets for future studies on xenobiotic metabolism and immunity.
  • The findings lay groundwork for exploring the functional implications of UGT variation in natural populations.