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Berthelier, C.

Publications and source records attributed to Berthelier, C..

2 recordsLinked to original sources

Single-cell transcriptomics highlights sexual cues among reproductive life stages of uncultivated Acantharia (Radiolaria)

As an innate property of life, the ability to reproduce is a key process for the perpetuation of organisms. Along the evolution of protist reproductive strategies, the molecular machinery of sexual recombination is estimated to have been inherited from the last eukaryotic common ancestor (LECA). Nevertheless, unraveling the sexual cycles of extant free-living protist lineages remains challenging, given the enigmatic roles of many uncultivated life stages. Among the uncultivated planktonic group of Acantharia (Radiolaria), a hypothetical sexual cycle has been proposed since the late 19th century, including the existence of a gamete-like life stage of undetermined ploidy, referred to as swarmers. In order to investigate the sexual nature of acantharian reproductive stages, we conducted single-cell transcriptomic analysis across various acantharian life stages. Our results show distinct functional profiles for reproductive and vegetative life stages, while revealing the expression of the reference eukaryotic genes involved in gamete fusion, HAP2/GCS1 and GEX1-KAR5, in swarmers and pre-swarmer stages. Annotation of differentially expressed life stage-specific genes, also highlights putative meiosis-related functions among swarmers, while suggesting the existence of a potential swarmer/vegetative intermediate stage expressing putative growth-related genes. This original life stage-specific genetic data is coherent with morphological evidence supporting the existence of an acantharian sexual cycle, with swarmers acting as gametes. Moreover, it paves the way for a deeper understanding of radiolarian cell biology and ecology at a single-cell scale. HighlightsO_LIAcantharia demonstrate both morphological and genetic evidence of a sexual cycle C_LIO_LIAcantharian reproductive stages are enriched in functions related to cell division C_LIO_LINuclear fusion gene family GEX1-KAR5 is up-regulated in putative acantharian gametes C_LIO_LIMost expressed genes specific to acantharian reproductive stages are unassigned C_LIO_LIReproduction-specific unassigned genes include putative sex-related functions C_LI

microbiology↗

Eoulsan 2: an efficient workflow manager for reproducible bulk, long-read and single-cell transcriptomics analyses

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSMotivationC_ST_ABSCore sequencing facilities produce huge amounts of sequencing data that need to be analysed with automated workflows to ensure reproducibility and traceability. Eoulsan is a versatile open-source workflow engine meeting the needs of core facilities, by automating the analysis of a large number of samples. Its core design separates the description of the workflow from the actual commands to be run. This originality simplifies its usage as the user does not need to handle code, while ensuring reproducibility. Eoulsan was initially developed for bulk RNA-seq data, but the transcriptomics applications have recently widened with the advent of long-read sequencing and single-cell technologies, calling for the development of new workflows. ResultWe present Eoulsan 2, a major update that (i) enhances the workflow manager itself, (ii) facilitates the development of new modules, and (iii) expands its applications to long reads RNA-seq (Oxford Nanopore Technologies) and scRNA-seq (Smart-seq2 and 10x Genomics). The workflow manager has been rewritten, with support for execution on a larger choice of computational infrastructure (workstations, Hadoop clusters, and various job schedulers for cluster usage). Eoulsan now facilitates the development of new modules, by reusing wrappers developed for the Galaxy platform, with support for container images (Docker or Singularity) packaging tools to execute. Finally, Eoulsan natively integrates novel modules for bulk RNA-seq, as well as others specifically designed for processing long read RNA-seq and scRNA-seq. Eoulsan 2 is distributed with ready-to-use workflows and companion tutorials. Availability and implementationEoulsan is implemented in Java, supported on Linux systems and distributed under the LGPL and CeCILL-C licenses at: http://outils.genomique.biologie.ens.fr/eoulsan/. The source code and sample workflows are available on GitHub: https://github.com/GenomicParisCentre/eoulsan. A GitHub repository for modules using the Galaxy tool XML syntax is further provided at: https://github.com/GenomicParisCentre/eoulsan-tools Contacteoulsan@bio.ens.psl.eu

bioinformatics↗