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

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

Genetic and physical localization of a leaf rust susceptibility gene in barley.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2025
Same author

Primary Care Uptake Interventions in Taxi, App-Based, and Other For-Hire Vehicle Drivers: The HAILL Cluster Randomized Controlled Trial.

Journal of general internal medicine·2025
Same author

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

Bioinformation·2025
Same author

Meta-transcriptomic analysis reveals the geographical expansion of known sugarbeet-infecting viruses and the occurrence of a novel virus in sugarbeet in the United States.

Frontiers in plant science·2024
Same journal

Assessment of lower incisor position and symphysis dimensions among different skeletal patterns in the Chhattisgarh population.

Bioinformation·2026
Same journal

Low T3 syndrome and short-term outcomes in patients with acute decompensated heart failure: A retrospective observational study.

Bioinformation·2026
Same journal

Cardiovascular risk prevention awareness and practices in type 2 diabetes: Linking HbA1c and lipid levels.

Bioinformation·2026
Same journal

Assessment of periodontal condition using basic periodontal examination scores: A retrospective clinical study.

Bioinformation·2026
Same journal

Comparative evaluation of osseointegration among different surface modification techniques in dental implants.

Bioinformation·2026
Same journal

Micro-osteoperforations' impact on orthodontic tooth movement rate: Split mouth research.

Bioinformation·2026
See all related articles

Related Experiment Video

Updated: May 13, 2025

Light Sheet-based Fluorescence Microscopy of Living or Fixed and Stained Tribolium castaneum Embryos
10:15

Light Sheet-based Fluorescence Microscopy of Living or Fixed and Stained Tribolium castaneum Embryos

Published on: April 28, 2017

10.5K

SBRM-DB: Sugar beet root maggot database.

Sudha Acharya1, Nadim W Alkharouf1, Muhammad Massub Tehseen2

  • 1Department of Computer and Information Sciences, Towson University, Towson, MD, 21252, USA.

Bioinformation
|April 15, 2025
PubMed
Summary
This summary is machine-generated.

A new genome database for the sugar beet root maggot (SBRM) has been created. This resource aids in developing strategies to protect sugar beet crops from this devastating pest.

Keywords:
Beta vulgarisSugar beet root maggotTetanops myopaeformisdatabasegenomesugar beet

More Related Videos

An Experimental Study on Colorado Potato Beetle Hibernation Under Natural Conditions
07:44

An Experimental Study on Colorado Potato Beetle Hibernation Under Natural Conditions

Published on: November 17, 2023

4.4K
Using Flight Mills to Measure Flight Propensity and Performance of Western Corn Rootworm, Diabrotica virgifera virgifera LeConte
07:38

Using Flight Mills to Measure Flight Propensity and Performance of Western Corn Rootworm, Diabrotica virgifera virgifera LeConte

Published on: October 29, 2019

6.1K

Related Experiment Videos

Last Updated: May 13, 2025

Light Sheet-based Fluorescence Microscopy of Living or Fixed and Stained Tribolium castaneum Embryos
10:15

Light Sheet-based Fluorescence Microscopy of Living or Fixed and Stained Tribolium castaneum Embryos

Published on: April 28, 2017

10.5K
An Experimental Study on Colorado Potato Beetle Hibernation Under Natural Conditions
07:44

An Experimental Study on Colorado Potato Beetle Hibernation Under Natural Conditions

Published on: November 17, 2023

4.4K
Using Flight Mills to Measure Flight Propensity and Performance of Western Corn Rootworm, Diabrotica virgifera virgifera LeConte
07:38

Using Flight Mills to Measure Flight Propensity and Performance of Western Corn Rootworm, Diabrotica virgifera virgifera LeConte

Published on: October 29, 2019

6.1K

Area of Science:

  • Agricultural Science
  • Genomics
  • Entomology

Background:

  • Sugar beet (Beta vulgaris) is a vital crop, producing 55% of U.S. and 35% of global raw sugar.
  • The sugar beet root maggot (Tetanops myopaeformis, SBRM) is a major North American pest, causing up to 100% crop loss.
  • Effective pest management is crucial for maintaining sugar beet production and economic value.

Purpose of the Study:

  • To generate and present an annotated genome database for Tetanops myopaeformis (TmSBRM_v1.0).
  • To provide a valuable resource for researchers and stakeholders focused on sugar beet agronomic improvement.
  • To facilitate the development of novel strategies for managing SBRM infestations.

Main Methods:

  • DNA was isolated from field-grown sugar beet root maggot specimens.
  • The TmSBRM_v1.0 draft genome was sequenced and assembled.
  • Bioinformatic analyses were performed to annotate the genome and create a searchable database.

Main Results:

  • The TmSBRM_v1.0 draft genome sequence is now available.
  • A comprehensive genome database, the SBRM database, has been established.
  • The database provides annotated genomic information for T. myopaeformis.

Conclusions:

  • The SBRM genome database is a key resource for understanding SBRM biology and developing targeted control methods.
  • This genomic information can support breeding efforts for pest-resistant sugar beet varieties.
  • The database will aid stakeholders in mitigating SBRM damage and improving sugar beet yields.