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포항공과대학교 생명과학과

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정보

리서치 하이라이트

DeepTetrad: high-throughput image analysis of meiotic tetrads by deep learning in Arabidopsis thaliana

2020-04-29 2479
Author
Kyuha Choi
Journal
The Plant Journal ;101(2):473-483
Date of Publication
2020-01
Original link

Abstract

 

■ SUMMARY
Meiotic crossovers facilitate chromosome segregation and create new combinations of alleles in gametes.
Crossover frequency varies along chromosomes and crossover interference limits the coincidence of closely
spaced crossovers. Crossovers can be measured by observing the inheritance of linked transgenes expressing
different colors of fluorescent protein in Arabidopsis pollen tetrads. Here we establish DeepTetrad, a
deep learning-based image recognition package for pollen tetrad analysis that enables high-throughput
measurements of crossover frequency and interference in individual plants. DeepTetrad will accelerate the
genetic dissection of mechanisms that control meiotic recombination.
 

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