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Overview of Transposition and Recombination

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...

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DNA-only transposons are called autonomous transposons since they code for the enzyme transposase that is required for the transposition mechanism. Insertion of transposons can alter gene functions in multiple ways. They can mutate the gene, alter gene expression by introducing a novel promoter or insulator sequence, introduce new splice sites, and change the mRNA transcripts produced, or remodel chromatin structure.
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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...

LTR Retrotransposons

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Transposons

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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...

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Real-Time Quantification of the Effects of IS200/IS605 Family-Associated TnpB on Transposon Activity

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Published on: January 20, 2023

TE Displayer for post-genomic analysis of transposable elements.

Rebecca Rooke¹, Guojun Yang

¹Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.

Bioinformatics (Oxford, England)

|November 16, 2010

Summary

This summary is machine-generated.

TE Displayer identifies genetic polymorphisms from transposable elements (TEs) in large genomic datasets. This tool aids researchers in comparing TE profiles computationally and establishing references for experimental studies.

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Transposable elements (TEs) are mobile genetic sequences that can cause significant genomic variation.
Identifying and analyzing TE-induced polymorphisms is crucial for understanding genome evolution and disease mechanisms.

Purpose of the Study:

To introduce TE Displayer, a novel computational tool for analyzing transposable element (TE) polymorphisms.
To provide a user-friendly platform for researchers to investigate TE profiles in large genomic datasets.

Main Methods:

TE Displayer retrieves and analyzes genetic polymorphisms associated with transposable elements (TEs).
The software presents analysis results as virtual gel images for intuitive interpretation.
The tool is freely accessible online, facilitating widespread adoption and use.

Main Results:

TE Displayer successfully identifies genetic polymorphisms arising from transposable element activity.
The virtual gel image output allows for straightforward in silico comparison of TE profiles.
Reference profiles are generated, supporting experimental validation and comparative genomics.

Conclusions:

TE Displayer is an effective tool for the in silico retrieval and visualization of TE-induced genetic polymorphisms.
The software enhances the ability of researchers to compare TE profiles across large genomic datasets.
It serves as a valuable resource for both computational and experimental genetic analyses.