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Related Experiment Video

Updated: Jul 6, 2025

A Fast Silver Staining Protocol Enabling Simple and Efficient Detection of SSR Markers using a Non-denaturing Polyacrylamide Gel
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MegaSSR: a web server for large scale microsatellite identification, classification, and marker development.

Morad M Mokhtar1,2, Alsamman M Alsamman1,2,3, Achraf El Allali1

  • 1Bioinformatics Laboratory, College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco.

Frontiers in Plant Science
|January 1, 2024
PubMed
Summary
This summary is machine-generated.

MegaSSR is a new web server and pipeline for designing Simple Sequence Repeat (SSR) markers. This tool automates SSR marker development, aiding genetic research and breeding programs.

Keywords:
MegaSSR web serverNon-redundant SSR librarySSR markersSimple Sequence Repeatsbioinformatic pipeline

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Next-generation sequencing generates vast genomic data.
  • Simple Sequence Repeats (SSRs) are crucial genetic markers for diversity and breeding.
  • Analyzing large genomic datasets requires efficient bioinformatics tools.

Purpose of the Study:

  • To introduce MegaSSR, a web server and standalone pipeline for automated SSR marker design.
  • To provide a flexible and customizable tool for SSR mining, classification, and primer design.
  • To facilitate the analysis and visualization of SSR marker data for research and breeding.

Main Methods:

  • Development of a web server and standalone pipeline named MegaSSR.
  • Implementation of computational pipelines for SSR mining and classification.
  • Integration of tools for PCR primer design and in silico PCR validation.

Main Results:

  • MegaSSR enables targeted PCR-based primer design for selected SSR repeats.
  • The tool offers automated SSR mining, classification, and comparison functionalities.
  • User-friendly web-based tools provide accessible visualization and download of SSR marker data.

Conclusions:

  • MegaSSR streamlines the development of SSR markers across various genomes.
  • The platform accelerates research in plant genomics and supports breeding program advancements.
  • MegaSSR enhances the efficiency of utilizing genomic resources for marker-assisted selection.