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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Using flow cytometry to estimate pollen DNA content: improved methodology and applications.

Paul Kron1, Brian C Husband

  • 1Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada. pkron@uoguelph.ca

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|August 10, 2012
PubMed
Summary

A new filter bursting method efficiently extracts pollen nuclei for flow cytometry, improving genome size and unreduced gamete estimations across many plant species.

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Area of Science:

  • Plant biology
  • Cytometry
  • Genomics

Background:

  • Flow cytometry is used to analyze pollen nuclear DNA content for plant development studies.
  • Previous methods for pollen nuclei extraction face challenges, impacting data quality.

Purpose of the Study:

  • To introduce a simple, novel method for pollen nuclei extraction using filter bursting.
  • To compare this method with existing techniques and assess its utility for genome size and cell cycle analysis.

Main Methods:

  • The filter bursting method was tested on 80 species.
  • Pollen nuclei extraction was compared to chopping and sonication methods.
  • Genome size estimates from pollen and leaf nuclei were compared.

Main Results:

  • The filter bursting method achieved high data quality for genome size estimation (81%) and cell cycle analysis (51%).
  • It yielded higher quality histograms and nuclei yields compared to chopping and sonication.
  • Pollen-based genome size estimates closely matched leaf tissue estimates.

Conclusions:

  • The filter bursting method is easy to use, broadly applicable, and successful.
  • This technique enhances the use of pollen for accurate genome size estimation.
  • It significantly improves the estimation of unreduced pollen production using flow cytometry.