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Biology subjects

Peter, C. M.

Publications and source records attributed to Peter, C. M..

2 recordsLinked to original sources

Oncogenic HPV types identified in Paleolithic and Chalcolithic human genome sequencing data from Ust'-Ishim and Ötzi

Human papillomaviruses (HPVs) are ancient viruses with diverse lineages infecting epithelial tissues in primates and humans. Although contemporary distribution and clinical importance are well understood, there is limited knowledge about their occurrence among prehistoric human populations. We investigated the presence of HPV in ancient anatomically modern humans (AMHs) by analyzing genome sequencing data from two exceptionally preserved individuals: Ust-Ishim ([~]45,000 years BP) and Otzi the Iceman ([~]5,300 years BP). Using a combination of reference-guided mapping and ancient DNA authentication criteria, we searched for HPV sequences in these ancient genomes. We detected high-confidence papillomavirus fragments in both individuals. Further phylogenetic and comparative analyses revealed that the reconstructed sequences belong to HPV16, the most oncogenic HPV lineage. Our study presents the earliest molecular evidence of HPV16 in anatomically modern humans (AMHs), pushing back its evolutionary history and challenging the idea that HPV16A entered Homo sapiens through Neanderthal interbreeding. Our results suggest that HPV16 was already present in modern humans during the Upper Paleolithic, indicating a long-standing host-virus association independent of Neanderthal transmission.

evolutionary biology↗

SARS-CoV-2 reshapes mA methylation in long non-coding RNAs of human lung cells

N-Methyladenosine (mA) is a key base modification that regulates RNA stability and translation during viral infection. While mA methylation of host mRNAs has been studied in SARS-CoV-2-infected cells, its role in long non-coding RNAs (lncRNAs) is unknown. Here, we analyzed direct RNA sequencing (dRNA-seq) data from infected human lung cells (Calu-3) using a machine learning mA detection framework. We observed a global increase in mA levels across ten antiviral response- associated lncRNAs, with UCA1, GAS5, and NORAD--regulators of interferon (IFN) signaling-- showing the most pronounced changes. This might, in part, explain the attenuated IFN expression observed in infected cells. We identified methylated DRACH motifs in predicted lncRNA duplex-forming regions, which may favor Hoogsteen base-pairing, which destabilize secondary structures and target interaction sites. These results provide new perspectives on how SARS-CoV-2 could impact lncRNAs to modulate host immunity and viral persistence through mA-dependent mechanisms. In BriefPeter et al. show that SARS-CoV-2 infection alters mA methylation of host lncRNAs by analysis of direct RNA sequencing data with machine learning. Key immune-regulatory lncRNAs show mA alterations in RNA pairing regions, suggesting a novel mechanism by which mA may modulate antiviral responses and promote viral persistence. HighlightsO_LIDirect RNA-seq and machine learning reveal mA changes in lncRNAs C_LIO_LISARS-CoV-2 infection changes mA patterns in antiviral response-associated lncRNAs C_LIO_LILncRNAs UCA1, GAS5, and NORAD exhibit pronounced mA remodeling upon infection C_LIO_LImA sites overlap RNA duplex-forming regions in immune-regulatory lncRNAs C_LIO_LImA may impact lncRNA duplexes via Hoogsteen pairing C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/658496v1_ufig1.gif" ALT="Figure 1"> View larger version (69K): org.highwire.dtl.DTLVardef@eb2e28org.highwire.dtl.DTLVardef@236149org.highwire.dtl.DTLVardef@c82cd3org.highwire.dtl.DTLVardef@1f70f9e_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗