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Related Experiment Videos

Gene mapping in zebrafish using single-strand conformation polymorphism analysis

D Förnzler1, H Her, E W Knapik

  • 1Genetics Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.

Genomics
|September 2, 1998
PubMed
Summary
This summary is machine-generated.

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Single-strand conformation polymorphism analysis (SSCP) is an efficient tool for gene mapping in zebrafish. This method aids in high-resolution mapping of transcribed sequences, enhancing genomic analysis for vertebrate development studies.

Area of Science:

  • Genomics
  • Developmental Biology
  • Comparative Genomics

Background:

  • The zebrafish is a powerful model organism for vertebrate development research.
  • Efficient genomic analysis tools are crucial for fully exploiting the zebrafish system.
  • Gene mapping is essential for understanding genome organization and function.

Purpose of the Study:

  • To evaluate the utility of single-strand conformation polymorphism analysis (SSCP) for gene mapping in zebrafish.
  • To determine the polymorphism frequency of SSCP markers in zebrafish strains used for genetic mapping.
  • To assess the efficiency of SSCP in mapping transcribed sequences within the zebrafish genome.

Main Methods:

  • Analysis of over 100 primer pairs derived from noncoding gene regions and cDNAs.

Related Experiment Videos

  • Application of single-strand conformation polymorphism analysis (SSCP) to detect polymorphisms.
  • Localization of polymorphic cDNAs on the zebrafish genetic map.
  • Main Results:

    • A polymorphism frequency of approximately 50% was detected using SSCP in zebrafish strains.
    • SSCP proved to be an efficient strategy for high-resolution mapping of transcribed sequences.
    • A subset of polymorphic cDNAs was successfully localized on the zebrafish map.

    Conclusions:

    • SSCP is an effective and efficient method for gene mapping in zebrafish.
    • This technique facilitates the integration of existing zebrafish genetic maps and the creation of an EST map.
    • SSCP supports alternative gene localization strategies like comparative mapping, advancing zebrafish genomics research.