Biology subjects

Sebe-Pedros, A.

Publications and source records attributed to Sebe-Pedros, A..

3 recordsLinked to original sources

bioRxiv2018

MetaCell: analysis of single cell RNA-seq data using k-NN graph partitions

Single cell RNA-seq (scRNA-seq) has become the method of choice for analyzing mRNA distributions in heterogeneous cell populations. scRNA-seq only partially samples the cells in a tissue and the RNA in each cell, resulting in sparse data that challenge analysis. We develop a methodology that addresses scRNA-seqs sparsity through partitioning the data into metacells: disjoint, homogenous and highly compact groups of cells, each exhibiting only sampling variance. Metacells constitute local building blocks for clustering and quantitative analysis of gene expression, while not enforcing any global structure on the data, thereby maintaining statistical control and minimizing biases. We illustrate the MetaCell framework by re-analyzing cell type and transcriptional gradients in peripheral blood and whole organism scRNA-seq maps. Our algorithms are implemented in the new MetaCell R/C++ software package.

bioinformatics↗

bioRxiv2017

The transcriptome of Paraphelidium tribonemae illuminates the ancestry of Fungi and Opisthosporidia

Aphelids constitute a group of diverse, yet poorly known, parasites of algae [1, 2]. Their life cycle and morphology resemble those of zoosporic fungi (chytrids) and rozellids (Cryptomycota/Rozellosporidia), another specious group of parasites of fungi and oomycetes [3, 4]. Unlike fungi, which are osmotrophs, aphelids and rozellids are phagotrophs, feeding on the hosts cytoplasm. Combined RNA polymerase and rRNA gene trees [5] suggested that aphelids and rozellids relate to Microsporidia, extremely reduced parasites with remnant mitochondria [6]. Accordingly, aphelids, rozellids and Microsporidia were proposed to form a monophyletic clade, called Opisthosporidia, sister to Fungi [1]. Microsporidia would have subsequently lost the ancestral opisthosporidian phagotrophy. However, the limited phylogenetic signal of those genes combined with microsporidian fast-evolving sequences have resulted in incongruent tree topologies, showing either rozellids [5, 7] or aphelids [8] as the earliest-branching lineages of Opisthosporidia. We have generated the first transcriptome data for one aphelid species, Paraphelidium tribonemae [2]. In-depth multi-gene phylogenomic analyses using various protein datasets place aphelids in a deep, pivotal position as a sister group to Fungi, making Opisthosporidia paraphyletic. We infer a rich, free-living-like proteome for P. tribonemae, which includes cellulases likely involved in algal cell-wall penetration, enzymes involved in chitin biosynthesis and several metabolic pathways that were lost in the comparatively reduced Rozella allomycis genome [9]. Our results suggest that Fungi evolved from a complex phagotrophic opisthosporidian ancestor, likely a specialized endobiotic predator, which became osmotrophic at the fungal root and evolved towards phagotrophic parasitism in the rozellid/microsporidian line.

evolutionary biology↗

bioRxiv2017

Cnidarian cell type diversity revealed by whole-organism single-cell RNA-seq analysis

A hallmark of animal evolution is the emergence and diversification of cell type-specific transcriptional states. But systematic and unbiased characterization of differentiated gene regulatory programs was so far limited to specific tissues in a few model species. Here, we perform whole-organism single cell transcriptomics to map cell types in the cnidarian Nematostella vectensis, a non-bilaterian animal that display complex tissue-level bodyplan organization. We uncover high diversity of transcriptional states in Nematostella, demonstrating cell type-specific expression for 35% of the genes and 51% of the transcription factors (TFs) detected. We identify eight broad cell clusters corresponding to cell classes such as neurons, muscles, cnidocytes, or digestive cells. These clusters comprise multiple cell modules expressing diverse and specific markers, uncovering in particular a rich repertoire of cells associated with neuronal markers. TF expression and sequence analysis defines the combinatorial code that underlies this cell-specific expression. It also reveals the existence of a complex regulatory lexicon of TF binding motifs encoded at both enhancer and promoters of Nematostella tissue-specific genes. Whole organism single cell RNA-seq is thereby established as a tool for comprehensive study of genome regulation and cell type evolution.

genomics↗