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Pipoli da Fonseca, J.

Publications and source records attributed to Pipoli da Fonseca, J..

2 recordsLinked to original sources

Core genome sequencing and genotyping of Leptospira interrogans in clinical samples by target capture sequencing

The life-threatening pathogen Leptospira interrogans is the most common agent of leptospirosis, an emerging zoonotic disease. However, little is known about the strains that are circulating worldwide due to the fastidious nature of the bacteria and its difficulty to be culture isolated. In addition, the paucity of bacteria in blood and other clinical samples has proven to be a considerable challenge for directly genotyping the agent of leptospirosis directly from patient material. Here, to elucidate the genomic diversity of Leptospira circulating strains, hybridization capture followed by Illumina sequencing of the core genome was performed directly from 20 biological samples that were PCR positive for pathogenic Leptospira. A set of samples subjected to capture with RNA probes covering the L. interrogans core genome resulted in 72 to 13,000-fold increase in pathogen reads when compared to standard sequencing without capture. A SNP analysis of the genomes sequenced from the biological samples using 273 Leptospira reference genome was then performed in order to determine the genotype of the infecting strain. For samples with sufficent coverage (19/20 samples with coverage >8X), we could unambigously identify L. interrogans sv Icterohaemorrhagiae (14 samples), L. kirschneri sv Grippotyphosa (4 samples) and L. interrogans sv Pyrogenes (1 sample) as the infecting strain. In conclusion, we obtained for most of our biological samples high quality genomic data at suitable coverage for confident core genome genotyping of the agent of leptospirosis. The ability to generate culture-free genomic data opens new opportunities to better understand the epidemiology and evolution of this fastidious pathogen.

microbiology↗

Transcriptomic landscapes of SARS-CoV-2-infected and bystander lung cells reveal a selective upregulation of NF-κB-dependent coding and non-coding proviral transcripts

Investigations of cellular responses to viral infection are commonly performed on mixed populations of infected and uninfected cells or using single-cell RNA sequencing, leading to inaccurate and low-resolution gene expression interpretations. Here, we performed deep polyA+ transcriptome analyses and novel RNA profiling of SARS-CoV-2 infected lung epithelial cells, sorted based on the expression of the viral spike (S) protein. Infection caused a massive reduction in mRNAs and lncRNAs, including transcripts coding for antiviral factors, such as interferons (IFN). This absence of IFN signaling probably explained the poor transcriptomic response of bystander cells co-cultured with S+ ones. NF-{kappa}B pathway and the inflammatory response escaped the global shutoff in S+ cells. Functional investigations revealed the proviral function of the NF-{kappa}B pathway and the antiviral activity of CYLD, a negative regulator of the pathway. Thus, our transcriptomic analysis on sorted cells revealed additional genes that modulate SARS-CoV-2 replication in lung cells.

microbiology↗