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 Experiment Video

Updated: May 17, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Finding and analyzing plant metabolic gene clusters.

Anne Osbourn1, Kalliopi K Papadopoulou, Xiaoquan Qi

  • 1Department of Metabolic Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom. anne.osbourn@jic.ac.uk

Methods in Enzymology
|October 23, 2012
PubMed
Summary

Plant genomes contain hidden metabolic gene clusters for producing valuable compounds. Researchers are developing methods to identify and analyze these clusters for drug and agrochemical discovery.

Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...

You might also read

Related Articles

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

Sort by
Same author

Molecular Lego in the Green Factory: Engineering Plant Metabolism with Golden Gate Assembly.

Methods in molecular biology (Clifton, N.J.)·2026
Same author

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same author

Adaptive evolution of oxidosqualene cyclases driving triterpene scaffold diversification for limonoid biosynthesis in Melia toosendan.

Plant communications·2026
Same author

Mind the gap: the challenges and opportunities for genomics-driven harnessing of plant metabolic diversity for therapeutic applications.

Current opinion in biotechnology·2026
Same author

plantiSMASH 2.0: Improvements to Detection, Annotation, and Prioritization of Plant Biosynthetic Gene Clusters.

Journal of molecular biology·2026
Same author

Crop gene regulatory networks for precision breeding in saline environments.

Plant physiology and biochemistry : PPB·2026

Area of Science:

  • Plant biochemistry and genomics
  • Natural product discovery
  • Metabolomics

Background:

  • Plants synthesize diverse secondary metabolites crucial for ecological defense and human applications.
  • Exploiting plant metabolic diversity is hindered by challenges in mining complex plant genomes.
  • Recent findings reveal that plant secondary metabolite genes are organized in clusters, similar to microbial metabolic gene clusters.

Purpose of the Study:

  • To describe approaches for identifying secondary metabolic gene clusters in plants.
  • To provide examples of methods for analyzing and functionally confirming newly discovered clusters.
  • To facilitate the exploitation of plant metabolic diversity for drug and agrochemical development.

Main Methods:

  • Genome mining

More Related Videos

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

Related Experiment Videos

Last Updated: May 17, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

  • Forward and reverse genetics
  • Map-based cloning
  • Bioinformatic analysis
  • Functional genomics

    • Main Results:

    • Identification of secondary metabolic gene clusters in plant genomes.
    • Development of strategies for analyzing gene cluster organization and function.
    • Demonstration of methods for functional confirmation of identified clusters.

    Conclusions:

    • Secondary metabolic gene clusters are a significant feature of plant genomes.
    • Advanced genomic and genetic approaches are essential for discovering and characterizing these clusters.
    • Unlocking plant metabolic gene clusters offers vast potential for discovering novel bioactive compounds.