Single-cell transcriptome sequencing atlas of cassava tuberous root.
Single-cell transcriptome sequencing atlas of cassava tuberous root.
复制标题
DOI：
10.3389/fpls.2022.1053669
复制
发表时间：
2022
影响因子：
5.6
通讯作者：
中科院分区：
文献类型：
--
作者：
单细胞转录组测序（ScRNA-seq）已成为检查细胞分化和发育的有效方法。在非模式植物中，它的应用还不是很多，特别是在次生代谢产物丰富的库器官中。在这项研究中，我们使用 10x Genomics（S1、S2）技术对木薯块根的两个发育阶段的单细胞转录组进行了测序。总共 14,566 个细胞被分为 15 种不同的细胞类型，主要基于已知存在的模型植物的标记基因。在伪时间研究中，定义了细胞分化轨迹，并比较了伪时间轴上两个阶段之间基因表达的差异。通过轨迹识别血管组织和脑组织的分化过程。我们通过使用上调基因和拟时间分析发现了被称为凯氏带的稀有细胞类型，并解释了它如何与内皮层区分。我们的研究还描述了成功创建富含淀粉的器官的原生质体分离技术。我们共同创建了第一个高分辨率的木薯块根单细胞转录组图谱，这在我们对这些根如何分化和发育的理解方面取得了重大进展。
Single-cell transcriptome sequencing (ScRNA-seq) has emerged as an effective method for examining cell differentiation and development. In non-model plants, it hasn't been employed very much, especially in sink organs that are abundant in secondary metabolites. In this study, we sequenced the single-cell transcriptomes at two developmental phases of cassava tuberous roots using the technology known as 10x Genomics (S1, S2). In total, 14,566 cells were grouped into 15 different cell types, primarily based on the marker genes of model plants known to exist. In the pseudotime study, the cell differentiation trajectory was defined, and the difference in gene expression between the two stages on the pseudotime axis was compared. The differentiation process of the vascular tissue and cerebral tissue was identified by the trajectory. We discovered the rare cell type known as the casparian strip via the use of up-regulated genes and pseudotime analysis, and we explained how it differentiates from endodermis. The successful creation of a protoplast isolation technique for organs rich in starch was also described in our study. Together, we created the first high-resolution single-cell transcriptome atlas of cassava tuberous roots, which made significant advancements in our understanding of how these roots differentiate and develop.
登录
查看更多内容
影响因子：
46.9
作者：
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者：
Newell, Evan W.
影响因子：
7.4
作者：
Hooker, TS;Millar, AA;Kunst, L
通讯作者：
Kunst, L
影响因子：
7.4
作者：
Lakhssassi, Naoufal;Doblas, Veronica G.;Botella, Miguel A.
通讯作者：
Botella, Miguel A.
影响因子：
5.6
作者：
通讯作者：
--
影响因子：
2.5
作者：
Figueiredo, Priscila Gonzales;de Moraes-Dallaqua, Marina Aparecida;Aguiar, Eduardo Barreto
通讯作者：
Aguiar, Eduardo Barreto