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High-Throughput Fluorescent Pollen Tetrad Analysis Using DeepTetrad.

Dohwan Byun1, Kyuha Choi2

  • 1Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.

Methods in Molecular Biology (Clifton, N.J.)
|April 24, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed DeepTetrad, an AI tool for analyzing plant meiosis. This method accurately measures meiotic crossover frequency and interference, aiding genetic studies of plant reproduction and variation.

Keywords:
CrossoverDeepTetradFTLsMeiosisQRT1Tetrad analysis

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Area of Science:

  • Plant genetics
  • Molecular biology
  • Cellular processes

Background:

  • Meiotic recombination initiates from programmed DNA double-stranded breaks (DSBs) in plants, crucial for chromosome segregation and genetic variation.
  • Crossover frequency and distribution are tightly regulated by genetic, epigenetic, and environmental factors, making precise measurement challenging.
  • Existing methods for measuring meiotic crossovers are limited, hindering detailed genetic analysis.

Purpose of the Study:

  • To introduce DeepTetrad, a deep learning-based image analysis tool for high-throughput measurement of meiotic crossover frequency and interference in plants.
  • To provide detailed protocols for sample preparation, imaging, and data analysis using DeepTetrad with fluorescence-tagged lines.
  • To facilitate the genetic dissection of meiotic crossover control mechanisms in plants.

Main Methods:

  • Adaptation of fluorescence-tagged lines (FTLs) with quartet1 mutations and linked fluorescent markers (dsRed, eYFP, eCFP).
  • Utilizing a deep learning-based image analysis tool, DeepTetrad, to classify 12 types of tetrads from three-color FTLs.
  • Employing conventional microscopy and a Linux machine for high-throughput data acquisition and analysis.

Main Results:

  • DeepTetrad enables accurate and high-throughput measurement of meiotic crossover frequency and interference.
  • The tool classifies tetrads from three-color FTLs, providing quantitative data on recombination events.
  • Detailed procedures for sample preparation, imaging, and analysis are provided, ensuring reproducibility.

Conclusions:

  • DeepTetrad significantly advances the ability to measure meiotic crossover frequency and interference in plants.
  • This high-throughput method accelerates genetic research into the control of meiotic recombination.
  • The developed protocols and tool will be instrumental in dissecting the genetic basis of meiotic crossover regulation.