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Decoding Xylem Development in Flowering Plants: Insights From Single-Cell Transcriptomics

文献类型： 外文期刊

作者： Yu, Jhong-He 1 ; Hsieh, Jo-Wei Allison 2 ; Wang, Zhifeng 3 ; Wei, Jia 3 ; Li, Quanzi 4 ; Chen, Ying-Lan 5 ; Lin, Ying-Chung Jimmy 1 ;

作者机构： 1.Natl Taiwan Univ, Inst Plant Biol, Coll Life Sci, Taipei, Taiwan

2.Univ Calif Davis, Genome Ctr, Davis, CA USA

3.Zhejiang Acad Agr Sci, Inst Sericulture & Tea, Hangzhou, Peoples R China

4.Zhejiang A&F Univ, Natl Key Lab Dev & Utilizat Forest Food Resources, Hangzhou, Peoples R China

5.Natl Cheng Kung Univ, Coll Biosci & Biotechnol, Dept Biotechnol & Bioind Sci, Tainan, Taiwan

6.Natl Cheng Kung Univ, Grad Program Translat Agr Sci, Tainan, Taiwan

7.Acad Sinica, Tainan, Taiwan

8.Natl Taiwan Univ, Coll Life Sci, Dept Life Sci, Taipei, Taiwan

9.Natl Taiwan Univ, Genome & Syst Biol Degree Program, Taipei, Taiwan

关键词： flowering plants; single cell transcriptome; xylem development

期刊名称：PLANT CELL AND ENVIRONMENT （ 影响因子：6.3； 五年影响因子：7.7 ）

ISSN： 0140-7791

年卷期： 2025 年

页码：

收录情况： SCI

摘要： Single-cell RNA sequencing (scRNA-seq) has emerged as a transformative tool for decoding plant development, particularly in elucidating xylem differentiation. By capturing transcriptomic changes at single-cell resolution, scRNA-seq enables reconstruction of developmental trajectories across diverse plant tissues. In this review, we summarize recent advances in the application of scRNA-seq to study both primary and secondary xylem development in monocots and eudicots. These studies have revealed distinct xylem cell types, including vessel elements, libriform fibers, and ray parenchyma cells, and provided insight into their lineage relationships. We also highlight key technical and analytical challenges that limit cross-study comparisons, including inconsistent bioinformatic pipelines, variability in protoplasting efficiency, and the use of potentially misannotated marker genes. To address these limitations, we discuss the integration of in situ transcriptomic profiling using laser microdissection, which provides more accurate cell-type annotation and supports the current best working model of xylem developmental lineages. Finally, we suggest future directions for improving xylem developmental studies, including deeper integration of spatial and single-cell technologies to overcome current limitations in resolving lignified tissues and to better understand xylem responses to environmental perturbations.

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