Stoeckle, M. | Search bioRxiv

bioRxiv2025

Interdependent Dynamics of mRNA Expression and HIV-1 Viral Load: Insights from Transcriptomics and Mendelian Randomization

The interaction between HIV-1 and the host immune system plays a crucial role in the natural control and progression of the infection. Previous studies have identified APOBEC3G, Tetherin, SAMHD1, and SERINC5 as HIV-1 host restriction factors, which are counteracted by the viral proteins Vif, Vpu, and Nef, respectively. The blood expression levels of some of these host proteins are correlated with HIV load, suggesting that interindividual differences in the spontaneous control of HIV infection might lead to the identification of novel HIV restriction factors. Our study enrolled 150 participants from the Swiss HIV Cohort Study with human genome-wide genotyping data, pre-antiretroviral treatment peripheral blood mononuclear cells (PBMC) aliquots and HIV load measurements. Using BrB-seq, we quantified mRNA expression of all protein-coding genes and found significant associations between 792 genes and HIV load. Pathway analysis revealed that higher viral load associated with the upregulation of innate immune response, proteasome complex, mitochondrial and cell-cycle related activity, and with the downregulation of ribosomal transcripts and genes involved in cytokine-cytokine receptor interaction, including IL4R, IL7R, and TCF7. Mendelian Randomization confirmed the viral restriction activity of TRABD2A and identified new candidates as potential restriction factors. These findings provide novel insights into the host-virus interplay and suggest additional genes that may contribute to the natural control of HIV-1 infection.

immunology↗

bioRxiv2022

Interspecific allometric scaling in eDNA production in fishes reflects physiological and surface area allometry

Relating environmental DNA (eDNA) signal strength to organism abundance requires a fundamental understanding of eDNA production. A number of studies have demonstrated that eDNA production may scale allometrically - that is, larger organisms tend to exhibit lower mass-specific eDNA production rates, likely due to allometric scaling in key processes related to eDNA production (e.g. surface area, excretion/egestion). While most previous studies have examined intra-specific allometry, physiological rates and organism surface area also scale allometrically across species. We therefore hypothesize that eDNA production will similarly exhibit inter-specific allometric scaling. To evaluate this hypothesis, we reanalyzed previously published eDNA data from Stoeckle et al. (2021) which compared metabarcoding read count to organism count and biomass data obtained from trawl surveys. Using a Bayesian model we empirically estimated the value of the allometric scaling coefficient ( b) for bony fishes to be 0.67 (credible interval = 0.58 - 0.77), although our model failed to converge for chondrichthyan species. We found that integrating allometry significantly improved correlations between organism abundance and metabarcoding read count relative to traditional metrics of abundance (density and biomass) for bony fishes. Although substantial unexplained variation remains in the relationship between read count and organism abundance, our study provides evidence that eDNA production tends to scale allometrically across species. Future studies investigating the relationship between eDNA signal strength and metrics of fish abundance could potentially be improved by accounting for allometry - a scaling coefficient value of [~]2/3 appears to be both theoretically and empirically justified.

ecology↗