Gene expression variation in Arabidopsis embryos at single-nucleus resolution
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.
Main Authors: | , , , , |
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Arabidopsis, Embryo, Epigenetic, Gene expression, Single-nucleus RNA-seq, Transcription factor, |
Online Access: | https://research.wur.nl/en/publications/gene-expression-variation-in-arabidopsis-embryos-at-single-nucleu |
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dig-wur-nl-wurpubs-5856542025-01-14 Kao, Ping Schon, Michael A. Mosiolek, Magdalena Enugutti, Balaji Nodine, Michael D. Article/Letter to editor Development (Cambridge) 148 (2021) 13 ISSN: 0950-1991 Gene expression variation in Arabidopsis embryos at single-nucleus resolution 2021 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. en application/pdf https://research.wur.nl/en/publications/gene-expression-variation-in-arabidopsis-embryos-at-single-nucleu 10.1242/DEV.199589 https://edepot.wur.nl/551550 Arabidopsis Embryo Epigenetic Gene expression Single-nucleus RNA-seq Transcription factor https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
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Arabidopsis Embryo Epigenetic Gene expression Single-nucleus RNA-seq Transcription factor Arabidopsis Embryo Epigenetic Gene expression Single-nucleus RNA-seq Transcription factor |
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Arabidopsis Embryo Epigenetic Gene expression Single-nucleus RNA-seq Transcription factor Arabidopsis Embryo Epigenetic Gene expression Single-nucleus RNA-seq Transcription factor Kao, Ping Schon, Michael A. Mosiolek, Magdalena Enugutti, Balaji Nodine, Michael D. Gene expression variation in Arabidopsis embryos at single-nucleus resolution |
description |
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. |
format |
Article/Letter to editor |
topic_facet |
Arabidopsis Embryo Epigenetic Gene expression Single-nucleus RNA-seq Transcription factor |
author |
Kao, Ping Schon, Michael A. Mosiolek, Magdalena Enugutti, Balaji Nodine, Michael D. |
author_facet |
Kao, Ping Schon, Michael A. Mosiolek, Magdalena Enugutti, Balaji Nodine, Michael D. |
author_sort |
Kao, Ping |
title |
Gene expression variation in Arabidopsis embryos at single-nucleus resolution |
title_short |
Gene expression variation in Arabidopsis embryos at single-nucleus resolution |
title_full |
Gene expression variation in Arabidopsis embryos at single-nucleus resolution |
title_fullStr |
Gene expression variation in Arabidopsis embryos at single-nucleus resolution |
title_full_unstemmed |
Gene expression variation in Arabidopsis embryos at single-nucleus resolution |
title_sort |
gene expression variation in arabidopsis embryos at single-nucleus resolution |
url |
https://research.wur.nl/en/publications/gene-expression-variation-in-arabidopsis-embryos-at-single-nucleu |
work_keys_str_mv |
AT kaoping geneexpressionvariationinarabidopsisembryosatsinglenucleusresolution AT schonmichaela geneexpressionvariationinarabidopsisembryosatsinglenucleusresolution AT mosiolekmagdalena geneexpressionvariationinarabidopsisembryosatsinglenucleusresolution AT enuguttibalaji geneexpressionvariationinarabidopsisembryosatsinglenucleusresolution AT nodinemichaeld geneexpressionvariationinarabidopsisembryosatsinglenucleusresolution |
_version_ |
1822266699906285568 |