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一个单细胞和空间小麦根地图与跨物种注释划分保存的特定组织标记基因和调节器

Yuji Ke¹, Vincent Pujol², Jasper Staut¹

¹Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium; VIB Center for Plant Systems Biology, Ghent, Belgium.

|February 2, 2025

概括

在植物中,准确的细胞类型注释是具有挑战性的. 这项研究提出了一种使用单细胞RNA测序和空间转录组学来识别小麦根细胞标记物的新方法,有助于非模型物种研究.

科学领域:

植物生物学植物生物学
基因组学就是基因组学.
分子生物学分子生物学

背景情况:

在植物单细胞RNA测序 (scRNA-seq) 中准确的细胞类型注释至关重要,但具有挑战性,特别是对于缺乏验证的标记基因的非模型物种.
现有的scRNA-seq方法在注释细胞群中面临局限性,原因是缺乏明确的标记物.

研究的目的:

开发和验证使用scRNA-seq.使用小麦根组织中细胞类型注释的有效方法.
为了生成一个全面的scRNA-seq地表土壤种植的小麦根.
识别进化保守的,组织特异性标记基因和细胞类型特异性基因调控网络.

主要方法:

创建一个单细胞RNA测序图谱,用于小麦根的角美里系统.
通过从小麦,大米,玉米和Arabidopsis的公共数据集中转移细胞身份来进行基于正义学的注释.
使用非目标空间转录学验证预测的标记物.

主要成果:

在小麦根scRNA-seq数据中成功注释细胞群.
在小麦根中识别新的和已知的细胞类型特定标记基因.
在多种植物物种中预测保存的标记物和基因调节网络.
为小麦根生物学和比较植物基因组学创建一个有价值的资源.

结论:

开发的基于orthology的注释方法,结合空间转录学验证,有效地解决了在研究较少的植物中细胞类型注释的挑战.
这项研究为小麦根垂干系统研究提供了基础资源,并促进了在各种非模型植物物种中未来的细胞类型识别.
已识别的保存标记物和基因调控网络为植物基本的发育过程提供了洞察力.

关键词:

CP: 植物植物集群注释集群注释基因监管网络基因监管网络根系美里系统亚特拉斯单细胞转录组学单细胞转录组学没有目标的空间转录学.小麦小麦小麦小麦小麦小麦小麦.

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