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Gene expression variation in Arabidopsis embryos at single-nucleus resolution
Author(s) -
Ping Kao,
Michael A. Schon,
Magdalena Mosiołek,
Balaji Enugutti,
Michael D. Nodine
Publication year - 2021
Publication title -
development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.15
H-Index - 36
eISSN - 1477-9129
pISSN - 0950-1991
DOI - 10.1242/dev.199589
Subject(s) - biology , embryonic stem cell , transcriptome , arabidopsis , gene expression , epigenetics , gene , genetics , microbiology and biotechnology , arabidopsis thaliana , regulation of gene expression , cell sorting , genome , computational biology , cell , mutant
Soon after fertilization of egg and sperm, plant genomes become transcriptionally activated and drive a series of coordinated cell divisions to form the basic body plan during embryogenesis. Early embryonic cells rapidly diversify from each other, and investigation of the corresponding gene expression dynamics can help elucidate underlying cellular differentiation programs. However, current plant embryonic transcriptome datasets either lack cell-specific information or have RNA contamination from surrounding non-embryonic tissues. We have coupled fluorescence-activated nuclei sorting together with single-nucleus mRNA-sequencing to construct a gene expression atlas of Arabidopsis thaliana early embryos at single-cell resolution. In addition to characterizing cell-specific transcriptomes, we found evidence that distinct epigenetic and transcriptional regulatory mechanisms operate across emerging embryonic cell types. These datasets and analyses, as well as the approach we devised, are expected to facilitate the discovery of molecular mechanisms underlying pattern formation in plant embryos. This article has an associated 'The people behind the papers' interview.

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