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Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles
Although several large-scale single-cell RNA sequencing (scRNAseq) studies addressing the root of Arabidopsis (Arabidopsis thaliana) have been published, there is still need for a de novo reference map for both root and especially above-ground cell types. As the plants’ transcriptome substantially c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825464/ https://www.ncbi.nlm.nih.gov/pubmed/34850215 http://dx.doi.org/10.1093/plphys/kiab537 |
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author | Apelt, Federico Mavrothalassiti, Eleni Gupta, Saurabh Machin, Frank Olas, Justyna Jadwiga Annunziata, Maria Grazia Schindelasch, Dana Kragler, Friedrich |
author_facet | Apelt, Federico Mavrothalassiti, Eleni Gupta, Saurabh Machin, Frank Olas, Justyna Jadwiga Annunziata, Maria Grazia Schindelasch, Dana Kragler, Friedrich |
author_sort | Apelt, Federico |
collection | PubMed |
description | Although several large-scale single-cell RNA sequencing (scRNAseq) studies addressing the root of Arabidopsis (Arabidopsis thaliana) have been published, there is still need for a de novo reference map for both root and especially above-ground cell types. As the plants’ transcriptome substantially changes throughout the day, shaped by the circadian clock, we performed scRNAseq on both Arabidopsis root and above-ground tissues at defined times of the day. For the root scRNAseq analysis, we used tissue-specific reporter lines grown on plates and harvested at the end of the day (ED). In addition, we submitted above-ground tissues from plants grown on soil at ED and end of the night to scRNAseq, which allowed us to identify common cell types/markers between root and shoot and uncover transcriptome changes to above-ground tissues depending on the time of the day. The dataset was also exploited beyond the traditional scRNAseq analysis to investigate non-annotated and di-cistronic transcripts. We experimentally confirmed the predicted presence of some of these transcripts and also addressed the potential function of a previously unidentified marker gene for dividing cells. In summary, this work provides insights into the spatial control of gene expression from nearly 70,000 cells of Arabidopsis for below- and whole above-ground tissue at single-cell resolution at defined time points. |
format | Online Article Text |
id | pubmed-8825464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88254642022-02-09 Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles Apelt, Federico Mavrothalassiti, Eleni Gupta, Saurabh Machin, Frank Olas, Justyna Jadwiga Annunziata, Maria Grazia Schindelasch, Dana Kragler, Friedrich Plant Physiol Focus Issue on the Plant Cell Atlas Although several large-scale single-cell RNA sequencing (scRNAseq) studies addressing the root of Arabidopsis (Arabidopsis thaliana) have been published, there is still need for a de novo reference map for both root and especially above-ground cell types. As the plants’ transcriptome substantially changes throughout the day, shaped by the circadian clock, we performed scRNAseq on both Arabidopsis root and above-ground tissues at defined times of the day. For the root scRNAseq analysis, we used tissue-specific reporter lines grown on plates and harvested at the end of the day (ED). In addition, we submitted above-ground tissues from plants grown on soil at ED and end of the night to scRNAseq, which allowed us to identify common cell types/markers between root and shoot and uncover transcriptome changes to above-ground tissues depending on the time of the day. The dataset was also exploited beyond the traditional scRNAseq analysis to investigate non-annotated and di-cistronic transcripts. We experimentally confirmed the predicted presence of some of these transcripts and also addressed the potential function of a previously unidentified marker gene for dividing cells. In summary, this work provides insights into the spatial control of gene expression from nearly 70,000 cells of Arabidopsis for below- and whole above-ground tissue at single-cell resolution at defined time points. Oxford University Press 2021-11-19 /pmc/articles/PMC8825464/ /pubmed/34850215 http://dx.doi.org/10.1093/plphys/kiab537 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of American Society of Plant Biologists. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Focus Issue on the Plant Cell Atlas Apelt, Federico Mavrothalassiti, Eleni Gupta, Saurabh Machin, Frank Olas, Justyna Jadwiga Annunziata, Maria Grazia Schindelasch, Dana Kragler, Friedrich Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles |
title | Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles |
title_full | Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles |
title_fullStr | Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles |
title_full_unstemmed | Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles |
title_short | Shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles |
title_sort | shoot and root single cell sequencing reveals tissue- and daytime-specific transcriptome profiles |
topic | Focus Issue on the Plant Cell Atlas |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825464/ https://www.ncbi.nlm.nih.gov/pubmed/34850215 http://dx.doi.org/10.1093/plphys/kiab537 |
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