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Related Concept Videos

Sanger Sequencing01:57

Sanger Sequencing

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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Related Experiment Video

Updated: Dec 21, 2025

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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Fast sequence-based microsatellite genotyping development workflow.

Olivier Lepais1,2, Emilie Chancerel1, Christophe Boury1

  • 1INRAE, Univ. Bordeaux, BIOGECO, Cestas, France.

Peerj
|May 16, 2020
PubMed
Summary

Streamlined microsatellite sequencing (SSRseq) workflows improve population genetic diversity analysis. De novo primer design yields more reliable genetic markers than repurposing old assays for broader species applications.

Keywords:
HapSTRHaplotype sequenceSNPSTRSSR-GBSSSR-seqSequence-based microsatellite genotyping

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Area of Science:

  • Genomics
  • Population Genetics
  • Molecular Biology

Background:

  • Electrophoresis-based microsatellite genotyping has limitations.
  • High-throughput sequencing offers improved resolution for genetic diversity and population structure studies.

Purpose of the Study:

  • To present a streamlined workflow for microsatellite sequencing (SSRseq).
  • To demonstrate the workflow's effectiveness across diverse species with varying genomic resources.
  • To identify critical factors for successful SSRseq implementation.

Main Methods:

  • Microsatellite development and multiplexed marker amplification.
  • High-throughput sequencing and automated bioinformatics analysis.
  • Application across fungi, plants, insects, and fish.

Main Results:

  • De novo primer design resulted in highly multiplexed assays yielding 20-40 reliable loci.
  • Relying on previously developed assays led to a low number of genotyped loci.
  • Sequence analysis enabled powerful multi-allelic haplotype-based genotypic datasets.

Conclusions:

  • Streamlined SSRseq workflows, particularly with de novo primer design, enhance genetic marker reliability and throughput.
  • Effective SSRseq setup requires careful consideration of upfront development factors.
  • New analytical frameworks are needed to leverage multi-nucleotide polymorphism data from SSRseq.