Single-cell transcriptomic analysis reveals the developmental trajectory and transcriptional regulatory networks of quinoa salt bladders

Salt bladders, specialized structures on the surface of quinoa leaves, secrete Na<sup>+</sup> to mitigate the effects of the plant from abiotic stresses, particularly salt exposure. Understanding the development of these structures is crucial for elucidating quinoa's salt tolerance mechanisms. In this study, we employed transmission electron microscopy to detail cellular differentiation across the developmental stages of quinoa salt bladders. To further explore the developmental trajectory and underlying molecular mechanisms, we conducted single-cell RNA sequencing on quinoa protoplasts derived from young leaves. This allowed us to construct a cellular atlas, identifying 13 distinct cell clusters. Through pseudotime analysis, we mapped the developmental pathways of salt bladders and identified regulatory factors involved in cell fate decisions. GO and KEGG enrichment analyses, as well as experimental results, revealed the impacts of salt stress and the deprivation of sulfur and nitrogen on the development of quinoa salt bladders. Analysis of the transcription factor interaction network in pre-stalk cells (pre-SC), stalk cells (SC), and epidermal bladder cells (EBCs) indicated that TCP5, YAB5, NAC078, SCL8, GT-3B, and T1P17.40 play crucial roles in EBC development. Based on our findings, we developed an informative model elucidating salt bladder formation. This study provides a vital resource for mapping quinoa leaf cells and contributes to our understanding of its salt tolerance mechanisms.

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Publication Details

Journal
Stress Biology
Published
2024-11-13
DOI
https://doi.org/10.1007/s44154-024-00189-3
Citations
5
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
1.17

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article

Single-cell transcriptomic analysis reveals the developmental trajectory and transcriptional regulatory networks of quinoa salt bladders

Xuwu Sun, Xiao Song, Yaping Zhou, Yumeng Liu et al.
5 citations
Stress Biology
Single-cell and spatial transcriptomics
1.17
article

Single-cell transcriptomic analysis reveals the developmental trajectory and transcriptional regulatory networks of quinoa salt bladders

Xuwu Sun, Xiao Song, Yaping Zhou, Yumeng Liu, Aizhi Qin, Lulu Yan, Chunyang Li, Hao Liu, Yajie Xie, Zhixin Liu, Mengfan Li, Lu Kong, Qianli Zhao, Enzhi Guo, Peibo Gao
article en
5 citations

Abstract

Salt bladders, specialized structures on the surface of quinoa leaves, secrete Na<sup>+</sup> to mitigate the effects of the plant from abiotic stresses, particularly salt exposure. Understanding the development of these structures is crucial for elucidating quinoa's salt tolerance mechanisms. In this study, we employed transmission electron microscopy to detail cellular differentiation across the developmental stages of quinoa salt bladders. To further explore the developmental trajectory and underlying molecular mechanisms, we conducted single-cell RNA sequencing on quinoa protoplasts derived from young leaves. This allowed us to construct a cellular atlas, identifying 13 distinct cell clusters. Through pseudotime analysis, we mapped the developmental pathways of salt bladders and identified regulatory factors involved in cell fate decisions. GO and KEGG enrichment analyses, as well as experimental results, revealed the impacts of salt stress and the deprivation of sulfur and nitrogen on the development of quinoa salt bladders. Analysis of the transcription factor interaction network in pre-stalk cells (pre-SC), stalk cells (SC), and epidermal bladder cells (EBCs) indicated that TCP5, YAB5, NAC078, SCL8, GT-3B, and T1P17.40 play crucial roles in EBC development. Based on our findings, we developed an informative model elucidating salt bladder formation. This study provides a vital resource for mapping quinoa leaf cells and contributes to our understanding of its salt tolerance mechanisms.

Stress BiologyVol. 4(1)
Henan University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 21%
Single-cell and spatial transcriptomics
1.17
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