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Related Concept Videos

Crossing Over01:34

Crossing Over

149.9K
Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process...
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Updated: Oct 13, 2025

Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR
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Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

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A mapping platform for mitotic crossover by single-cell multi-omics.

Peter Chovanec1, Yi Yin1

  • 1Department of Human Genetics, University of California, Los Angeles, CA, Unites States.

Methods in Enzymology
|November 15, 2021
PubMed
Summary
This summary is machine-generated.

We developed new high-throughput, single-cell sequencing methods to map mitotic crossovers genome-wide. These techniques can identify large-scale genome rearrangements in various eukaryotes.

Keywords:
Genome instabilityHomologous recombinationLinear amplificationMitotic crossoverMitotic recombinationSingle-cell combinatorial indexingSingle-cell sequencing

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Area of Science:

  • Genetics
  • Genomics
  • Molecular Biology

Background:

  • Mitotic crossovers can lead to significant genome rearrangements.
  • Understanding these events is crucial for genome stability research.

Purpose of the Study:

  • To introduce novel high-throughput, single-cell whole-genome sequencing methods.
  • To enable genome-wide mapping of mitotic crossovers at scale.

Main Methods:

  • Developed high-throughput, single-cell, whole-genome sequencing techniques.
  • Applied methods for genome-wide crossover mapping.

Main Results:

  • Successfully mapped mitotic crossovers genome-wide using the new methods.
  • Demonstrated the scalability of the sequencing approach.

Conclusions:

  • The described methods provide a powerful tool for studying genome rearrangements.
  • These techniques are adaptable for various eukaryotes and other genomic endpoints.