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Status |
Public on Sep 27, 2024 |
Title |
A Mobile miR160-Triggered Transcriptional Axis Controls Root Stem Cell Niche Maintenance and Regeneration in Arabidopsis |
Organism |
Arabidopsis thaliana |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
In multicellular organisms, communication between cells is vital for their fate determination. In plants, the quiescent center (QC) signals to adjacent stem cells to maintain them undifferentiated. However, how surrounding stem cells instruct the QC remains poorly understood. Here we show that in the Arabidopsis root, microRNA160 (miR160) moves from vascular stem cells to the QC, where it degrades the mRNAs of two auxin response factors, ARF10 and ARF17. This degradation relieves BRAVO from direct transcriptional repression, maintaining QC quiescence. We further identify that blocking miR160 movement due to DNA damage-induced vascular stem cell death and restricted symplastic transport reduces BRAVO and WOX5 expression, leading to QC division to replenish damaged stem cells during root regeneration. Together, our results demonstrate that a transcriptional axis initiated by mobile miR160 regulates the QC and stem cell behavior, advancing our understanding of the communication between stem cells and their surrounding cellular environment.
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Overall design |
Comparative gene expression profiling analysis of RNA-seq data for Col-0, arf10-3 arf16-3, 35S:MIR160c anf pARF10:mARF10-GFP; each genotype has three replicates; 12 samples in Total.
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Contributor(s) |
Cai X, Pi L, Chen Y |
Citation missing |
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Submission date |
Feb 16, 2024 |
Last update date |
Sep 28, 2024 |
Contact name |
Limin Pi |
E-mail(s) |
limin.pi@whu.edu.cn
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Organization name |
Wuhan University
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Street address |
No.299 Bayi Road, Wuchang District
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City |
Wuhan |
State/province |
Hubei province |
ZIP/Postal code |
430072 |
Country |
China |
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Platforms (1) |
GPL26208 |
Illumina NovaSeq 6000 (Arabidopsis thaliana) |
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Samples (12)
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Relations |
BioProject |
PRJNA1077349 |
Supplementary file |
Size |
Download |
File type/resource |
GSE255979_RAW.tar |
2.2 Mb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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