bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.07.17.665358

N-acetyltransferase 10 promotes mRNA stability of immune response factors to modulate Zika virus infection

Abstract

Zika virus (ZIKV) is a re-emerging mosquito-borne flavivirus that poses serious risks to human health. In previous work, we used RNA immunoprecipitation and mass spectrometry to show that more than 30 distinct RNA modifications, or chemical moieties, were present on the RNA genome of ZIKV. Among these, N4-acetylcytosine (ac4C) was one of the most abundant modifications. In this study, we investigated the role of N-acetyltransferase 10 (NAT10), the writer enzyme that acetylates cytidine, in ZIKV gene expression. Using NAT10 knockout cell lines, RNA interference (RNAi), and overexpression rescue strategies, we found that loss of NAT10 led to increased levels of ZIKV protein and RNA. However, the production of infectious virus particles was not significantly affected. Interestingly, in NAT10-deficient cells compared to wild-type (WT) cells, ZIKV protein and RNA were detectable earlier during infection, suggesting that the loss of NAT10 facilitated increased viral replication. Despite this increase, ZIKV RNA was more rapidly degraded, although the accumulation of small flaviviral RNAs was not significantly altered by the absence of NAT10. Further analysis of key components of the innate immune response revealed that, in the absence of NAT10 and during early infection, STAT1, IFIT1, and MX1 mRNA transcripts were rapidly degraded, leading to reduced expression of the respective innate immune proteins. Taken together, our findings demonstrate that NAT10, the ac4C writer enzyme, modulates the stability of specific innate immune mRNAs and thereby plays a regulatory role in ZIKV infection dynamics. IMPORTANCERNA modifications are chemical groups that are deposited post-transcriptionally on RNA. In recent years, RNA modifications in viral RNAs have been shown to have profound effects on viral gene expression and hence viral function. Indeed, numerous studies have investigated the role of N6-methyladenosine and 5-methylcytosine RNA modifications and the respective enzymes that deposit (writer), remove (eraser) and facilitate (reader) function on viral infection. In this study we show how N4-acetyltransferase 10 (NAT10), a writer enzyme that acetylates cytidine to form N4-acetylcytidine (ac4C), affects Zika virus gene expression. Specifically, we found that NAT10 regulates viral infection kinetics by affecting the stability of select mRNAs involved in the innate immune response pathway. Our findings highlight another mode by which the innate immune response is robustly regulated in response to ZIKV infection.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Gianola, S., Lane, N., Kaytes, K., Pager, C. T.. 2025-07-17. N-acetyltransferase 10 promotes mRNA stability of immune response factors to modulate Zika virus infection. https://doi.org/10.1101/2025.07.17.665358

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A population-scale landscape of the subgingival microbiome reveals divergent routes to periodontal dysbiosis

Periodontitis is an archetypical mucosal inflammatory disease in which microbiome dysbiosis at the tooth-epithelial interface interacts with host genetic and behavioral risk factors to drive immune-mediated tissue destruction. Although subgingival microbiome compositional shifts are thought to parallel disease severity, microbiome variation at the population-level and its relationship to periodontal clinical phenotypes and disease-modifying factors remain poorly defined. Here, we use unsupervised manifold learning to map the compositional landscape of the subgingival microbiome in 1,355 adults spanning periodontal health to severe periodontitis. We identified eight latent microbiome states organized along a branching continuum from eubiosis to dysbiosis. An intermediate microbial configuration marked ecological destabilization and bifurcation into two distinct periodontitis-associated dysbiotic trajectories, distinguished by links to gingival inflammation and smoking. Although the microbiome trajectories broadly tracked periodontal destruction, a minority of individuals showed discordant microbiome-clinical phenotypes, with some individuals with periodontitis retaining otherwise eubiotic microbiomes enriched for low-abundance pathobionts, while some cases of health or mild disease had highly dysbiotic communities, suggesting distinct host susceptibility. Together, these findings define a population-scale ecological landscape of the subgingival microbiome, reveal divergent trajectories to periodontal dysbiosis, and highlight heterogeneity in the relationship between microbial community structure and clinical disease expression.

microbiology↗

Rapid and largely reversible shifts in the canine fecal metabolome during dietary change

Diet can rapidly change the fecal metabolome, but less is known about recovery after the original diet is restored. We used untargeted UPLC-MS metabolomics to analyze 72 fecal samples from nine Pumi dogs during an owner-managed switch from dry food to raw food and back to dry food. Diet phase accounted for a large proportion of variation in both ionization modes. More than 13,000 LC-MS features changed at the first sampling point after the switch to raw food, with a similarly large response after return to dry food. Among features significant in both comparisons, more than 99% changed in opposite directions. At the final sampling point, no positive-mode (ESI+) features and only 13 negative-mode (ESI-) features differed from the second dry-food baseline under the same threshold. BARF-associated patterns persisted in analyses excluding individual dogs and in pedigree-adjusted candidate models, although individual feature effects depended on normalization. Putative metabolites from several biochemical classes differed in their response and recovery. The fecal metabolome therefore changed rapidly and returned largely toward baseline, with differences among dogs.

microbiology↗

Taxonomic and functional concordance between full-length ONT 16S and ONT shotgun metagenomics in the canine gut microbiome

Background: Full-length Oxford Nanopore Technologies (ONT) 16S rRNA sequencing provides a scalable view of microbial community composition and can support phylogeny-based functional prediction, but it is not equivalent to shotgun metagenomics. We asked which biological conclusions are preserved when the same canine fecal specimens are profiled by full-length ONT 16S and ONT whole-genome shotgun (WGS) sequencing, and how their agreement depends on analytical scale, reference representation and classifier. Methods: Ninety-seven fecal specimens from 51 dogs were profiled with both assays from the same DNA extract. Functional profiles predicted from NanoASV/NanoPredict with PICRUSt2 were compared with WGS-supported KEGG Ortholog (KO) profiles generated by Kadath. Taxonomy was benchmarked in a source-genome-matched RefSeq universe and in a host-specific DogMAG universe using minitax and Kraken2. Agreement was evaluated at whole-profile, feature-abundance, detection, between-sample structure and biological-inference scales. Age-associated transfer was assessed with dog-aware continuous mixed models, grouped signed-score analyses and paired/dog-blocked PERMANOVA. Results: Functional whole-profile concordance was high: median within-sample CLR Spearman correlations ranged from 0.781 to 0.860 across developmental strata, while between-sample functional structure remained significant by Mantel (rho=0.543) and Procrustes (r=0.693; both p=0.001). Feature-wise transfer was substantially weaker (median KO-wise CLR Spearman=0.318). Continuous age-associated KO slopes showed substantial cross-assay concordance (Spearman=0.727; signed-score Spearman=0.753; direction agreement=77.9%), although 1,290/5,258 eligible KOs retained significant assay-by-age interactions. Taxonomically, exact genus/species abundance agreement was much lower than agreement in between-sample ecological structure. Host-specific DogMAG improved species-level median Spearman from 0.261 to 0.656 for minitax SpeciesEstimate and from 0.181 to 0.512 for Kraken2. The classifier effect was independent of reference choice: under both RefSeq and DogMAG, minitax yielded stronger 16S-WGS concordance than Kraken2, with all eight prespecified RefSeq paired genus/species endpoints and all 10 DogMAG primary paired endpoints significant after BH correction. The same ordering extended to developmental inference, with DogMAG genus/species age-slope concordance of 0.795/0.799 for SpeciesEstimate versus 0.693/0.702 for Kraken2. Taxonomic Aitchison PERMANOVA detected age-associated structure in every assay/reference/classifier/rank combination, whereas age-by-assay interactions were consistently significant but small (R2 approximately 1.1 to 2.2%). Stricter NanoASV identity thresholds removed substantial 16S abundance without improving species-level agreement. Conclusions: The extent of cross-assay agreement depends on the level of analysis. Full-length ONT 16S preserves broad functional organization, ecological structure and much of the direction of age-associated change, but exact fine-rank composition, individual-feature abundance and effect magnitude remain assay dependent. Host-specific reference representation substantially narrows the taxonomic gap, and classifier choice exerts an additional independent effect: within the same matched reference set, minitax consistently yields stronger 16S-WGS concordance than Kraken2 across abundance, detection, ecological-distance and developmental-inference endpoints. Full-length ONT 16S is therefore well suited to broad ecological screening and hypothesis generation, whereas WGS remains preferable when conclusions depend on quantitative fine-rank composition, directly supported gene content or precise feature-level effect estimates.

microbiology↗