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

An efficient method for producing an indexed, insertional-mutant library in rice.

Chengkun He1, Moul Dey, Zhihong Lin

  • 1Department of Molecular Biology and Genetics, Cornell University, 316 Biotechnology Building, Ithaca, NY 14853, USA.

Genomics
|January 19, 2007
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

Development and Validation of a Pathomics Model for Prognosis Prediction in Neoadjuvant Therapy-Treated Breast Cancer: A Retrospective, Multicenter Study.

MedComm·2026
Same author

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same author

Quantification of Binding of Small Molecules to Native Kinases by Flow Cytometry Reveals Divergence from Biochemical Affinities.

Journal of the American Chemical Society·2026
Same author

High-Coordination Single-Atom Nanozyme-Based Colorimetric-Photothermal Sensing Platform for Evaluation of Total Antioxidant Capacity.

Analytical chemistry·2026
Same author

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture.

NPJ digital medicine·2026
Same author

A hybrid preprocessing strategy-based NIR spectroscopy method for rapid determination of nutritional components in Cyperus esculentus with SHAP interpretation.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026

Researchers developed an efficient method to create an indexed, region-specific insertional mutant library in rice. This breakthrough aids in understanding gene function by rapidly identifying mutant locations, overcoming previous labor-intensive challenges.

Area of Science:

  • Genetics
  • Molecular Biology
  • Plant Science

Background:

  • Understanding gene function in organisms relies on insertional mutant libraries.
  • Developing such a library in rice has been challenging due to labor-intensive methods for determining mutant locations.
  • Existing rice mutant libraries are often not indexed, hindering efficient gene function studies.

Purpose of the Study:

  • To develop an efficient procedure for constructing an indexed, region-specific insertional mutant library in rice.
  • To overcome the limitations of labor-intensive methods for determining mutant chromosomal locations.
  • To facilitate faster and more direct studies of gene function in rice.

Main Methods:

  • Utilized efficient long-PCR-based high-throughput indexing.

Related Experiment Videos

  • Employed a random but anchored population of Ds transposants.
  • Combined long-PCR indexing with flanking sequence analysis for rapid mutant location determination.

    • Main Results:

    • Successfully constructed an indexed, region-specific insertional mutant library in rice.
    • Demonstrated that long-PCR indexing allows rapid and simultaneous determination of chromosomal locations for numerous mutants.
    • Enabled the conversion of a random mutant library into an indexed one efficiently.

    Conclusions:

    • The developed procedure offers an efficient way to create indexed insertional mutant libraries in rice.
    • This method significantly reduces the labor involved in identifying mutant chromosomal locations.
    • The indexed library can be directly used for gene function studies, bypassing the need to screen large random libraries.