Single cell RNA-sequencing reveals cellular heterogeneity and trajectories of wheat root tip.

We performed scRNA-seq to Chinese Spring (CS) cultiva of wheat, and captured 13,063 wheat (CS) root cells with 2523 mean UMIs, 43 417 mean reads and 1851 median genes per cell. One cell type was formed by clustered cells showing similar gene expression profiles. The dimensionality reduction algorithms used in this study are PCA (Principal Components Analysis) and t-SNE (t-distributed Stochastic Neighbor Embedding). Results of dimensionality reduction based on PCA are visualized by t-SNE for clustering, and the clustering algorithm adopts SNN to obtain the optimal cell clusters.Finally, we obtained 16 clusters. Overall design: We performed scRNA-seq to analyze one sample root tip cells of hexaploid bread wheat (CS, Chinese Spring cultivar), without replicates and control, reference samples.