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

Overview of Transposition and Recombination02:13

Overview of Transposition and Recombination

Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...
Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
Transposons01:24

Transposons

Transposons, or "jumping genes," are small mobile genetic elements (MGEs) that range from 700 to 40,000 base pairs in length. They are found in all organisms and can move within the same chromosome or transfer to different chromosomes. In some cases, transposons can also jump between different host DNA molecules, such as plasmids or viruses, contributing to genetic variability.Barbara McClintock first discovered these mobile genetic elements in the 1940s while studying maize genetics, and she...

You might also read

Related Articles

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

Sort by
Same author

The predictive value of circulating lymphocyte subpopulation characteristics for the prognosis of patients with stage III-IV non-small cell lung cancer treated with EGFR-TKI.

Biomedical engineering online·2025
Same author

A haplotype-resolved chromatin landscape connects cis-regulatory variants to trait variation in Citrus.

BMC genomics·2025
Same author

A single-cell rice atlas integrates multi-species data to reveal cis-regulatory evolution.

Nature plants·2025
Same author

Molecular docking and mutation sites of CYP57A1 enzyme with Fomesafen.

Pesticide biochemistry and physiology·2025
Same author

Persistent activation of TRPM4 triggers necrotic cell death characterized by sodium overload.

Nature chemical biology·2025
Same author

Design, synthesis and activity evaluation of novel quinazolinone compounds as TRPC5 inhibitors.

Bioorganic chemistry·2025

Related Experiment Video

Updated: Jun 8, 2026

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library
07:28

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Published on: January 10, 2025

MITE-Hunter: a program for discovering miniature inverted-repeat transposable elements from genomic sequences.

Yujun Han1, Susan R Wessler

  • 1Department of Plant Biology, University of Georgia, Athens, GA 30602, USA.

Nucleic Acids Research
|October 1, 2010
PubMed
Summary
This summary is machine-generated.

MITE-Hunter accurately identifies miniature inverted-repeat transposable elements (MITEs) and other small Class 2 non-autonomous transposable elements (TEs). This new pipeline is more efficient and precise than existing tools for genomic DNA analysis.

More Related Videos

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
08:40

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

Related Experiment Videos

Last Updated: Jun 8, 2026

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library
07:28

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Published on: January 10, 2025

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
08:40

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Miniature inverted-repeat transposable elements (MITEs) are abundant Class 2 non-autonomous TEs in non-coding gene regions.
  • Their rapid evolution and lack of coding sequences pose challenges for accurate identification.
  • MITEs play a significant role in gene and genome evolution.

Purpose of the Study:

  • To develop a robust computational pipeline for identifying MITEs and other small Class 2 non-autonomous TEs.
  • To improve the accuracy and efficiency of TE detection in large genomic datasets.
  • To provide a valuable resource for homology-based TE detection programs.

Main Methods:

  • Developed MITE-Hunter, a novel program pipeline for MITE and small Class 2 non-autonomous TE identification.
  • Utilized genomic DNA datasets for analysis.
  • Evaluated MITE-Hunter's performance using the rice genomic database and compared it with existing tools (FINDMITE, MUST).

Main Results:

  • MITE-Hunter successfully identified 97.6% of known rice MITEs and discovered sixteen new elements.
  • The pipeline demonstrated high accuracy, significantly outperforming FINDMITE and MUST, which produced a high rate of false positives.
  • MITE-Hunter is capable of analyzing large genomic datasets, including whole genome sequences, unlike the other tested programs.

Conclusions:

  • MITE-Hunter is a highly accurate and efficient tool for identifying MITEs and other small Class 2 non-autonomous TEs.
  • The pipeline provides consensus TE sequences that can be used to build library files for programs like RepeatMasker.
  • MITE-Hunter represents a significant advancement in TE detection, particularly for large-scale genomic studies.