Biology subjects

Bousali, M.

Publications and source records attributed to Bousali, M..

4 recordsLinked to original sources

bioRxiv2026

A novel proviral mechanism for the ISG, Shiftless, during human coronavirus infection

As highly pathogenic human coronaviruses continue to emerge from zoonotic sources, understanding how host intrinsic immune responses control infection is critical for preventing severe disease. The interferon (IFN) pathway induces antiviral effectors, including the interferon-stimulated gene (ISG) Shiftless (SHFL), which restricts -1 programmed ribosomal frameshifting during SARS-CoV-2 infection. Here, we investigate a novel proviral mechanism for SHFL using loss-of-function and gain-of-function approaches. Despite its established antiviral activity, SHFL enhanced infection by SARS-CoV-2 and the seasonal coronavirus HCoV-229E by increasing cellular susceptibility to infection. SHFL further promoted coronavirus infection by reducing cellular sensitivity to IFN, potentially through modulation of JAK/STAT signaling. Finally, we demonstrate that SHFL-mediated enhancement of baseline viral susceptibility is partially dependent on the domain previously implicated in its antiviral inhibition of -1 programmed ribosomal frameshifting. In contrast, SHFL-mediated regulation of IFN signaling is independent of this domain. Together, these findings establish SHFL as a dual-function ISG with distinct proviral and antiviral activities, highlighting the complex roles of innate immune effectors during coronavirus infection.

microbiology↗

bioRxiv2026

Orthogonal CRISPR screens and human liver chimeric mice identify hepatitis B virus host factors

Hepatitis B virus (HBV) chronically infects approximately 250 million people worldwide, and reliable curative therapies are lacking. A broader understanding of viral-host interactions could accelerate efforts to find new host-centric therapeutic targets. However, inefficient cell culture systems and limited replication markers compatible with pooled screening have precluded the widespread use of genetic perturbation screens. Here, we performed the first pooled, genome-wide CRISPR-Cas9 knockout (KO) screen with authentic HBV infection and integrated these results with two orthogonal pooled screens to identify host factors. We selected 72 genes for a multi-step assessment that included arrayed validation assays using both HBV infection and pgRNA transfection. We then independently tested thirteen genes using high-efficiency bulk KO experiments to guide further investigations of both antiviral and proviral factors. In both KO and siRNA-mediated knockdown experiments, depletion of the top antiviral factor, EXOC1, enhanced multiple HBV replication markers, and transcriptomic analysis revealed activation of hypoxia- and HIF-1 gene signatures. Three proviral factors, IRF2, WDR48, and ZCCHC14, were investigated in vivo using a human liver chimeric mouse model, which demonstrated that ZCCHC14 KO greatly reduced HBV replication and spread. Together, these complementary in vitro and in vivo platforms expand the catalog of HBV host factors and provide a scalable framework for host target discovery.

microbiology↗

bioRxiv2023

Identification of watermelon genes involved in the ZYMV interaction through a miRNA bioinformatics analysis and characterization of ATRIP and RBOHB

Small RNA sequencing of healthy and ZYMV-infected watermelon (21 dpi) was performed and bioinformatics analysis identified 353 miRNAs from which 22 known and 331 new miRNAs. Important information about their precursors, their length, the loci of which they originated on watermelon genome are provided. The ZYMV genome could be a target for mir396a-3p, miR8706a, and miR1886i-5p from the miRbase, but none of them was identified in the watermelon miRNAome. Furthermore, watermelon miRNAome does not contain a miRNA targeting ZYMV genome with an expectation score [≤] 3.5. There were 34 resistance genes (CC-NBS-LRR, TIR-NBS-LRR, TIR-NBS) predicted as targets of 32 miRNAs in healthy watermelon. For nine differentially expressed miRNAs the respective target genes (10 in total) were bioinformatically predicted. For cla-new_miR307 (upregulated upon ZYMV infection) and cla-miR166h-3p (downregulated upon ZYMV infection) the targets were predicted to be ClaATRIP and ClaRBOHB, respectively, with ClaATRIP downregulated and ClaRBOHB upregulated upon ZYMV infection. ALSV-mediated VIGS of ClaATRIP rendered watermelon plants more resistant to ZYMV, whereas VIGS of ClaRBOHB resulted in higher levels of ZYMV titer in watermelon. These data suggest that ClaATRIP and ClaRBOHB are a susceptibility and resistant gene, respectively. Our results provide new insights in watermelon miRNAome and could propose new strategies for generating resistant watermelon to ZYMV. HighlightsO_LIBioinformatics analysis in healthy and ZYMV-infected watermelon plants gave 353 miRNAs, 22 known and 331 new. C_LIO_LIThe watermelon miRNAome identified in the present study does not appear to target the ZYMV genome (sense and reverse complement). C_LIO_LIThe differential expression of ten genes of watermelon in relation to ZYMV infection was validated. C_LIO_LIThe silencing of the two genes, ATRIP and RBOHB, through VIGS strongly suggested that ATRIP is a gene of susceptibility and RBOHB is a gene of resistance. C_LI

plant biology↗

bioRxiv2020

SARS-CoV-2 exhibits intra-host genomic plasticity and low-frequency polymorphic quasispecies

In December 2019, an outbreak of atypical pneumonia (Coronavirus disease 2019 - COVID-19) associated with a novel coronavirus (SARS-CoV-2) was reported in Wuhan city, Hubei province, China. The outbreak was traced to a seafood wholesale market and human to human transmission was confirmed. The rapid spread and the death toll of the new epidemic warrants immediate intervention. The intra-host genomic variability of SARS-CoV-2 plays a pivotal role in the development of effective antiviral agents and vaccines, but also in the design of accurate diagnostics. We analyzed NGS data derived from clinical samples of three Chinese patients infected with SARS-CoV-2, in order to identify small- and large-scale intra-host variations in the viral genome. We identified tens of low- or higher-frequency single nucleotide variations (SNVs) with variable density across the viral genome, affecting 7 out of 10 protein-coding viral genes. The majority of these SNVs corresponded to missense changes. The annotation of the identified SNVs but also of all currently circulating strain variations revealed colocalization of intra-host but also strain specific SNVs with primers and probes currently used in molecular diagnostics assays. Moreover, we de-novo assembled the viral genome, in order to isolate and validate intra-host structural variations and recombination breakpoints. The bioinformatics analysis disclosed genomic rearrangements over poly-A / poly-U regions located in ORF1ab and spike (S) gene, including a potential recombination hot-spot within S gene. Our results highlight the intra-host genomic diversity and plasticity of SARS-CoV-2, pointing out genomic regions that are prone to alterations. The isolated SNVs and genomic rearrangements, reflect the intra-patient capacity of the polymorphic quasispecies, which may arise rapidly during the outbreak, allowing immunological escape of the virus, offering resistance to anti-viral drugs and affecting the sensitivity of the molecular diagnostics assays.

genomics↗