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

BBGD: an online database for blueberry genomic data.

Nadim W Alkharouf1, Anik L Dhanaraj, Dhananjay Naik

  • 1Department of computer and information sciences, Towson University, 7800 York Road, Towson, Maryland, 21252, USA. nalkharouf@towson.edu

BMC Plant Biology
|February 1, 2007
PubMed
Summary

Researchers developed the Blueberry Genomics Database (BBDG) to identify genes involved in cold acclimation. This resource aids in understanding blueberry freeze tolerance and developing hardier cultivars.

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

Predicted protein-protein interactions between sugar beet root maggot trypsins and sugar beet Kunitz trypsin inhibitors using deep learning.

Data in brief·2026
Same author

Deep learning analysis of soybean cyst nematode effectors to proven soybean resistance genes and homolog identification in the sugar beet-sugar beet root maggot plant pathosystem.

Data in brief·2026
Same author

Deep learning analysis of sugar beet (<i>Beta vulgaris</i> ssp vulgaris) protease inhibitors interacting with identified trypsins from its primary pathogen, the sugar beet root maggot <i>Tetanops myopaeformis</i>.

Data in brief·2026
Same author

SBRM-DB: Sugar beet root maggot database.

Bioinformation·2025
Same author

Transcriptome sample statistics for the sugar beet root maggot (<i>Tetanops myopaeformis</i>) infecting sugar beet.

Bioinformation·2025
Same author

The annotation of genomic dataset sequences of the sugar beet root maggot <i>Tetanops myopaeformis</i>, TmSBRM_v1.0.

Data in brief·2024

Area of Science:

  • Plant genomics
  • Agricultural science
  • Cold stress biology

Background:

  • Blueberry (Ericaceae family) is a valuable US crop threatened by low temperatures.
  • Cold stress reduces blueberry crop yield and causes economic losses.
  • Understanding cold acclimation mechanisms is crucial for developing cold-hardy cultivars.

Purpose of the Study:

  • To develop a comprehensive resource for blueberry genomics research.
  • To facilitate the identification of genes involved in cold acclimation and freeze tolerance.
  • To support the development of enhanced cold-hardy blueberry varieties.

Main Methods:

  • Established the Blueberry Genomics Database (BBDG), the first of its kind.
  • Integrated Expressed Sequence Tag (EST) and microarray data.

Related Experiment Videos

  • Developed analysis tools and web-based query interfaces for data accessibility.
  • Main Results:

    • The BBDG stores and allows correlation of gene expression profiles with gene function.
    • Identified genes significantly induced or suppressed following low-temperature exposure.
    • Developed EST-based markers for genetic mapping.

    Conclusions:

    • The BBDG is a valuable public resource for the Ericaceae and blueberry research communities.
    • Identified candidate cold tolerance genes highly expressed in blueberry flower buds post-cold exposure.
    • Facilitates research into blueberry cold acclimation and freeze tolerance mechanisms.