| Literature DB >> 31536659 |
Eun-Cheon Lim1, Jaeil Kim1, Jihye Park1, Eun-Jung Kim1, Juhyun Kim1, Yeong Mi Park1, Hyun Seob Cho1, Dohwan Byun1, Ian R Henderson2, Gregory P Copenhaver3, Ildoo Hwang1, Kyuha Choi1.
Abstract
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.Entities:
Keywords: crossover; deep learning; fluorescent-tagged line; interference; meiosis; pollen tetrad analysis; technical advance
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Year: 2019 PMID: 31536659 DOI: 10.1111/tpj.14543
Source DB: PubMed Journal: Plant J ISSN: 0960-7412 Impact factor: 6.417