Biology subjects

Ouazahrou, R.

Publications and source records attributed to Ouazahrou, R..

4 recordsLinked to original sources

bioRxiv2026

Host adaptation drives genome evolution and virulence diversification in a bacterial zoonotic pathogen

Understanding how zoonotic pathogens diversify across reservoir hosts remains a central question in evolutionary biology and infectious disease research. Here, we address this challenge using Leptospira interrogans, a globally distributed bacterial pathogen with an extremely wide range of animal reservoirs, as a model. After defining 13 distinct genogroups that largely align with serogroups, we selected the strongly host-adapted rodent-associated lineage, which is more frequently associated with fatal outcomes in patients, and the cattle-associated lineage for further analysis. A comprehensive approach integrating multi-omics analyses and host-specific infection assays showed that these two genogroups have followed distinct evolutionary trajectories associated with host specialization. Genomics demonstrated that specialized genogroups are genetically less diverse, characterized by divergence in membrane and signaling genes, and by the acquisition of host-adaptive functions. Changes in gene expression and protein production revealed distinct regulatory programs, predominantly affecting virulence pathways in rodent-borne lineage and stress responses in cattle-borne lineage. Consistently, rodent-borne lineage causes greater disruption of human epithelial barrier integrity and elicits an attenuated host-dependent macrophage inflammatory response relative to cattle-borne lineage. Collectively, these findings reveal distinct host-adaptive strategies and remarkable evolutionary plasticity in a major zoonotic bacterium, highlighting the central role of intraspecies heterogeneity in shaping host specialization.

microbiology↗

bioRxiv2026

LORA: a polymorphic multi-sample LOng Read Assembly pipeline.

Genome assembly from long-read sequencing data has become a standard approach for resolving complex genomic regions and producing high-contiguity assemblies. However, the diversity of available assemblers, their varying performance across species, and the need for reproducible workflows present ongoing challenges. We developed LORA, an easy-to-use and reproducible application for assembling genomes from long-read data. LORA integrates several well-established assemblers, including Canu, HiFiasm, Flye, and Unicycler, as well as more recent tools such as Necat and Pecat. It is implemented as a Snakemake pipeline to parallelize tasks and support seamless execution on both local machines and computing clusters. LORA includes multiple quality assessment steps, interactive HTML reports for interpretation, BLAST-based taxonomic identification, and completeness evaluation. Together, these features provide users with a comprehensive view of assembly quality and potential problematic. We illustrate the capabilities of LORA using datasets from bacterial genomes and unicellular eukaryotes, sequenced with both PacBio and Oxford Nanopore technologies, highlighting typical outcomes and common pitfalls encountered during long-read assemblies. LORA is distributed as part of the Sequana project, an open-source framework designed for reproducibility, maintainability, and straightforward deployment across computing environments.

bioinformatics↗

bioRxiv2025

RABV L protein plays a role in immune escape through its methyltransferase activity

Viruses in the Mononegavirales order encode a large protein that orchestrates replication, transcription, and the capping of viral RNA. This protein, comprising over 2.000 amino acids, contains an RNA-dependent RNA polymerase, a capping domain, and a methyltransferase (MTase) domain involved in methylating the cap structure. The MTase domain features a conserved K-D-K-E catalytic tetrad -typical of 2'O-methyltransferases-which is essential for methylating viral mRNA caps at both the N7 and 2'O positions. However, the role of these residues in other epitranscriptomic modifications of rabies virus (RABV) RNAs remains poorly characterized. To further explore the role of mRNA cap methylation in the immune evasion strategies of RABV, we investigated the functional contribution of the K-D-K-E motif within the MTase domain, using the Thai isolate as a model. Using reverse genetics, we demonstrated that the mutation K1830R in the K-D-K-E tetrad of the Tha MTase domain induces changes in the methylation landscape of viral mRNAs and, intriguingly, of host mRNAs. In addition, viruses harbouring the K1830R mutation are more sensitive to interferon- and exhibit a less pathogenic phenotype in vitro and in vivo compared to the wild-type virus. Overall, these results suggest that the regulation of viral and cellular RNA methylation landscapes plays a crucial role in controlling RABV infection. Although the exact role of these epitranscriptomic modifications is not yet fully understood, some of these methylations appear to have proviral effects and enhance viral propagation by allowing RABV to efficiently evade the hosts antiviral response. ImportanceThis study highlights the pivotal role of the K-D-K-E catalytic domain included in the methyltransferase domain of the large protein of Rabies virus, by modelling viral RNAs with epitranscriptomic changes. For the first time, we identify specific methylations on the viral RNA, such as 2-O and m6A methylations, which seem to enable the virus to mask its RNA and evade detection by the hosts pattern recognition receptors. These epitranscriptomic modifications affect not only viral RNAs but also cellular RNAs, underscoring a complex interplay between viral and host mechanisms. We further demonstrate that RABV harbouring an altered K-D-R-E catalytic domain, exhibit differential methylation patterns correlated with increased sensitivity to IFN and lower pathogenicity. This emphasizes the importance of this domain in virulence and immune evasion.

microbiology↗

bioRxiv2025

High-resolution HIV-1 m6A epitranscriptome reveals splicing-dependent methylation clusters and unique 2-LTR transcript modifications

The N6-methyladenosine (m6A) modification of HIV-1 has been widely studied but the number and precise positions of the m6A sites remain unclear due to the lack of precision of detection methods. Using the latest Nanopore chemistry and direct m6A base-calling, we identified 18 m6A: 14 at the 3 end and 4 in central regions of the genome. Our data reveal differential methylation of these positions between splicing isoforms. Eleven of these sites are clustered in two short segments with peak-shaped methylation profiles. Single-molecule analysis revealed that a very small number of transcripts were unmethylated in both clusters. We also identified a [~]732 nt RNA species resulting from the transcription of non-integrated viral DNA circles closed by two long terminal repeats. These transcripts started in the first LTR, terminated at the polyA site of the second LTR and harbored six m6A sites. Five of these sites were present in other transcripts and, remarkably, had the highest methylation rates. The sixth site was methylated only in this transcript, suggesting a role for this RNA in HIV-1 infection. These findings reveal a new landscape of HIV m6A transcriptome modifications and pave the way for studies deciphering their role in the viral life cycle.

bioinformatics↗