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 Videos

Plant functional genomics.

Hauke Holtorf1, Marie-Christine Guitton, Ralf Reski

  • 1Plant Biotechnology, Albert-Ludwigs-Universität Freiburg, Germany.

Die Naturwissenschaften
|July 31, 2002
PubMed
Summary
This summary is machine-generated.

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

Functional characterisation of Target of Rapamycin (TOR) signalling in Physcomitrella.

Plant cell reports·2026
Same author

Secretion-based production of prolyl-hydroxylated human type III collagen in scalable Physcomitrella photobioreactors.

Plant cell reports·2026
Same author

CRISPR/Cas9 targeted genetic screening in Physcomitrella identifies novel cell division genes.

Frontiers in plant science·2025
Same author

Production of human papillomavirus type 16 virus-like particles in Physcomitrella photobioreactors.

Plant cell reports·2025
Same author

Multiplication of peat moss (Sphagnum L.) species for climate action.

Journal of experimental botany·2025
Same author

Recombinant production of spider silk protein in Physcomitrella photobioreactors.

Plant cell reports·2025
Same journal

Gone with the wind: wind-induced web movement reduces kleptoparasite abundance in a golden orbweaver spider.

Die Naturwissenschaften·2026
Same journal

A survey of Eocene stomach contents illuminates the origins of frugivory and seed dispersal in neornithine (crown group) birds.

Die Naturwissenschaften·2026
Same journal

Could snort production reflect comfort in horses kept outdoors? A first study.

Die Naturwissenschaften·2026
Same journal

Pyrazole-thiazolidine hybrids as α-amylase inhibitor: a mechanistic and computational investigation.

Die Naturwissenschaften·2026
Same journal

Conventional methods may cause allometric analyses to be unreliable.

Die Naturwissenschaften·2026
Same journal

Impact of habitat disturbance on activity pattern and diet of de brraza's monkey (Cercopithecus neglectus) in kafa biosphere reserve, South West Ethiopia.

Die Naturwissenschaften·2026
See all related articles

High-throughput plant functional genomics utilizes new technologies for gene analysis. Integrating transcriptomics, proteomics, metabolomics, and phenomics is crucial for assigning functions to unknown plant genes.

Area of Science:

  • Plant biology
  • Genomics
  • Molecular biology

Background:

  • Complete genome information for key plant species like Arabidopsis thaliana and rice is now available.
  • Functional genome analysis in plants is advancing rapidly due to high-throughput technologies.
  • Novel, fast, and multiparallel approaches are being developed for large-scale gene analysis.

Purpose of the Study:

  • To review current technical developments in plant functional genomics.
  • To highlight the impact of these technologies on assigning functions to unknown genes.
  • To introduce Physcomitrella as a new model system for gene function analysis.

Main Methods:

  • Transcriptomics: analysis of gene expression.
  • Proteomics: analysis of proteins.

Related Experiment Videos

  • Metabolomics: analysis of metabolites.
  • Phenomics: analysis of phenotypic variations.
  • Physcomitrella patens as a model organism for its high rate of homologous recombination.
  • Main Results:

    • New technologies enable comprehensive, large-scale gene analysis at an unprecedented pace.
    • Analysis of transcripts, proteins, and metabolites aids in deducing gene function.
    • Phenotypic variations of mutant collections can be analyzed more efficiently.
    • Integrating data from multiple functional genomics approaches is essential for definitive gene function assignment.

    Conclusions:

    • Functional genomics platforms (transcriptomics, proteomics, metabolomics, phenomics) are key to understanding plant genes.
    • Combining data from diverse functional genomics tools is necessary for accurate gene function assignment.
    • Physcomitrella offers a promising model system for advancing plant gene function studies.