bioRxiv Science⌕ Search

Biology subjects

Perrier, M.

Publications and source records attributed to Perrier, M..

4 recordsLinked to original sources

Comparative pan-genomics reveals divergent adaptations in clinically-relevant members of the Fusarium solani species complex

The Fusarium solani species complex (FSSC) is a group of dual-kingdom fungal pathogens capable of causing devastating disease on a wide range of host plants and life-threatening infections in humans that are difficult to treat. In this study, we generate highly contiguous genomes for three clinical isolates of Fusarium keratoplasticum and three clinical isolates of Fusarium petroliphilum and compare them with other genomes of the FSSC from plant and animal sources. We find that human pathogenicity is polyphyletic within the FSSC, including within F. keratoplasticum. Pan-genome analysis revealed extensive gene presence-absence in the complex, with only 41% of genes (11,079/27,068) found in all samples and the presence of accessory chromosomes encoding isolate- and species-specific genes. Definition of long non-coding RNAs (lncRNAs) in F. keratoplasticum and F. petroliphilum demonstrated that they show a similarly high degree of presence-absence variation but are integrated into the transcriptional network to a similar degree as protein-coding genes, suggesting broad and extensive cellular roles. Elucidation of secondary metabolic potential identified many actively transcribed biosynthetic gene clusters with unknown products and identified several lncRNAs as putative regulators of specific metabolite clusters. Finally, examination of the FSSC for Starship gigantic mobile genetic elements revealed that F. keratoplasticum had the largest number with a median of four elements per genome and an overall pattern of Starships in the FSSC that were incongruent with the phylogeny, suggesting multiple horizontal transfer events. This study provides valuable insights into the evolutionary dynamics and genomic architecture of the FSSC, with implications for understanding multi-kingdom virulence, something of increasing relevance as climate change potentially increases the number of fungal species that can grow at human temperatures.

genomics↗

Single-cell Spatial Explorer: Easy exploration of spatial and multimodal transcriptomics

The development of single cell technologies yields large datasets of informations as diverse and multimodal as transcriptomes, immunophenotypes, and spatial position from tissue sections in the so-called spatial transcriptomics. Currently however, user-friendly, powerful, and free algorithmic tools for straightforward analysis of spatial transcriptomic datasets are scarce. Here, we introduce Single-Cell Spatial Explorer, an open-source software for multimodal exploration of spatial transcriptomics, examplified with 6 human and murine tissues datasets.

bioinformatics↗

A marked enhancement of a BLOC-1 gene, pallidin, associated with somnolent mouse models deficient in histamine transmission

Histamine (HA) and orexin (Ox, or hypocretin) neurons act distinctly and synergistically in wake control. A double knock out mouse genotype lacking both HA and Ox shows all sleep disorders of human narcolepsy. We identified in this mouse brain a sharp upregulation of a BLOC-1 gene, pallidin that is associated with dramatic changes in the balance of cholinergic and aminergic systems in mice and an enhanced sleep in drosophila. This study demonstrates potential sleep disorders-associated compensatory mechanisms with pallid as a novel biomarker.

neuroscience↗

Single-Cell Virtual Cytometer allows user-friendly and versatile analysis and visualization of multimodal single cell RNAseq datasets

The development of single cell transcriptomic technologies yields large datasets comprising multimodal informations such as transcriptomes and immunophenotypes. Currently however, there is no software to easily and simultaneously analyze both types of data. Here, we introduce Single-Cell Virtual Cytometer, an open-source software for flow cytometry-like visualization and exploration of multi-omics single cell datasets. Using an original CITE-seq dataset of PBMC from an healthy donor, we illustrate its use for the integrated analysis of transcriptomes and phenotypes of functional maturation in peripheral T lymphocytes from healthy donors. So this free and open-source algorithm constitutes a unique resource for biologists seeking for a user-friendly analytic tool for multimodal single cell datasets.

bioinformatics↗