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High-Throughput Fluorescent Pollen Tetrad Analysis Using DeepTetrad.
Byun, Dohwan; Choi, Kyuha.
Afiliação
  • Byun D; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea.
  • Choi K; Department of Life Sciences, Pohang University of Science and Technology, Pohang, Gyeongbuk, Republic of Korea. kyuha@postech.ac.kr.
Methods Mol Biol ; 2484: 277-290, 2022.
Article em En | MEDLINE | ID: mdl-35461458
ABSTRACT
Meiotic recombination initiates from ~100-200 s of programmed DNA double stranded breaks (DSBs) in plants. Meiotic DSBs can be repaired using homologous chromosomes to generate a crossover . Meiotic crossover is critical for chromosomal segregation and increasing genetic variation. The number of crossovers is limited to one and three per chromosome pair in most plant species. Genetic, epigenetic, and environmental factors control crossover frequency and distribution. Due to the limited number of crossovers it is challenging to measure crossover frequency along chromosomes. We adapted fluorescence-tagged lines (FTLs ) that contain quartet1 mutations and linked transgenes expressing dsRed, eYFP, and eCFP in pollen tetrads into the deep learning-based image analysis tool, DeepTetrad. DeepTetrad enables the measurement of crossover frequency and interference by classifying 12 types of tetrads from three-color FTLs in a high-throughput manner, using conventional microscope instruments and a Linux machine. Here, we provide detailed procedures for preparing tetrad samples, tetrad imaging, running DeepTetrad, and analysis of DeepTetrad outputs. DeepTetrad-based measurements of crossover frequency and interference ratio will accelerate the genetic dissection of meiotic crossover control.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Troca Genética / Meiose Idioma: En Revista: Methods Mol Biol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Troca Genética / Meiose Idioma: En Revista: Methods Mol Biol Ano de publicação: 2022 Tipo de documento: Article