Detection and Quantification of 5moU RNA Modification from Direct RNA Sequencing Data.

Background: Chemically modified therapeutic mRNAs have gained momentum recently. In addition to commonly used modifications (e.g., pseudouridine), 5moU is considered a promising substitution for uridine in therapeutic mRNAs. Accurate identification of 5-methoxyuridine (5moU) would be crucial for the study and quality control of relevant in vitro-transcribed (IVT) mRNAs. However, current methods exhibit deficiencies in providing quantitative methodologies for detecting such modification. Utilizing the capabilities of Oxford nanopore direct RNA sequencing, in this study, we present NanoML-5moU, a machine-learning framework designed specifically for the read-level detection and quantification of 5moU modification for IVT data. Materials and Methods: Nanopore direct RNA sequencing data from both 5moU-modified and unmodified control samples were collected. Subsequently, a comprehensive analysis and modeling of signal event characteristics (mean, median current intensities, standard deviations, and dwell times) were performed. Furthermore, classical machine learning algorithms, notably the Support Vector Machine (SVM), Random Forest (RF), and XGBoost were employed to discern 5moU modifications within NNUNN (where N represents A, C, U, or G) 5-mers. Results: Notably, the signal event attributes pertaining to each constituent base of the NNUNN 5-mers, in conjunction with the utilization of the XGBoost algorithm, exhibited remarkable performance levels (with a maximum AUROC of 0.9567 in the "AGTTC" reference 5-mer dataset and a minimum AUROC of 0.8113 in the "TGTGC" reference 5-mer dataset). This accomplishment markedly exceeded the efficacy of the prevailing background error comparison model (ELIGOs AUC 0.751 for site-level prediction). The model's performance was further validated through a series of curated datasets, which featured customized modification ratios designed to emulate broader data patterns, demonstrating its general applicability in quality control of IVT mRNA vaccines. The NanoML-5moU framework is publicly available on GitHub (https://github.com/JiayiLi21/NanoML-5moU). Conclusion: NanoML-5moU enables accurate read-level profiling of 5moU modification with nanopore direct RNA-sequencing, which is a powerful tool specialized in unveiling signal patterns in in vitro-transcribed (IVT) mRNAs.

Snow alga Sanguina aurantia as revealed through de novo genome assembly and annotation.

To thrive on melting alpine and polar snow, some Chlorophytes produce an abundance of astaxanthin, causing red blooms, often dominated by genus Sanguina. The red cells have not been cultured, but we recently grew a green biciliate conspecific with Sanguina aurantia from a sample of watermelon snow. This culture provided source material for Oxford Nanopore Technology and Illumina sequencing. Our assembly pipeline exemplifies the value of a hybrid long- and short-read approach for the complexities of working with a culture grown from a field sample. Using bioinformatic tools we separated assembled contigs into two genomic pools based on a difference in GC content (57.5% and 55.1%). We present the data as two assemblies of S. aurantia variants but explore other possibilities. High-throughput chromatin conformation capture analysis (Hi-C sequencing) was used to scaffold the assemblies into a 96 MB genome designated 'A' and a 102 MB genome designated 'B'. Both assemblies are highly contiguous: genome A consists of 38 scaffolds with an N50 of 5.4 Mb while genome B has 50 scaffolds with an N50 of 6.4 Mb. RNA-sequencing was used to improve gene annotation.

Complete pipeline for Oxford Nanopore Technology amplicon sequencing (ONT-AmpSeq): from pre-processing to creating an operational taxonomic unit table.

Amplicon sequencing has long served as a robust method for characterising microbial communities, and despite inherent resolution limitations, it remains a preferred technique, offering cost- and time-effective insights into bacterial compositions. Here, we introduce ONT-AmpSeq, a user-friendly pipeline designed for processing amplicon sequencing data generated from Oxford Nanopore Technology (ONT) devices. Our pipeline enables efficient creation of taxonomically annotated operational taxonomic unit (OTU) tables from ONT sequencing data, with the flexibility to multiplex amplicons on the same barcode. The pipeline encompasses six main steps-statistics, quality filtering, alignment, clustering, polishing, and taxonomic classification-integrating various state-of-the-art software tools. We provide a detailed description of each step, along with performance tests and robustness evaluations using both test data and a ZymoBIOMICS® Microbial Community Standard mock community dataset. Our results demonstrate the ability of ONT-AmpSeq to effectively process ONT amplicon data, offering valuable insights into microbial community composition. Additionally, we discuss the influence of polishing tools on taxonomic insight and the impact of taxonomic annotation methods on the derived microbial composition. Overall, ONT-AmpSeq represents a comprehensive solution for analysing ONT amplicon sequencing data, facilitating streamlined and reliable microbial community analysis. The pipeline, along with test data, is freely available for public use.

Orthogonal characterization of rAAV9 reveals unexpected transgene heterogeneity.

Recombinant adeno-associated virus (rAAV) is the most widely used viral vector for in vivo human gene therapy. To ensure safety and efficacy of gene therapy products, a comprehensive analytical profile of the rAAVs is needed, which provides crucial information for therapeutic development and manufacturing. Besides information on rAAV quantities and possible contaminating DNA and protein species, assessing rAAV quality is of utmost importance. In vitro biopotency and methods to determine the full/empty ratio of rAAV capsids are commonly applied, but methods to assess the integrity of the viral genome are still rarely used. Here we describe an orthogonal approach to characterize rAAV quality. Two biologically different rAAV9s from different stages of the bioprocess, generated each with two different transfection reagents, were investigated. In vitro biopotency tests in all cases demonstrated that rAAV9s generated with transfection reagent FectoVIR® possessed a higher biological activity. Mass-based analytical methods, such as sedimentation velocity analytical ultracentrifugation (AUC) and mass photometry, showed a high share of full capsids (>80 %) at late process stages but did not detect any differences in the rAAV9s from the different transfection reagents. Multiplex dPCR and Nanopore long-read sequencing both demonstrated that, also in late-stage process samples, sample heterogeneity was relatively high with a rather small share of full-length transgenes of ∼10-40 %. Intriguingly, both methods detected a higher share of complete transgenes in rAAV9 generated with transfection reagent FectoVIR® instead of Polyethylenimine (PEI), and thereby explain the differences already observed in the biopotency assays. This study therefore emphasizes the necessity to utilize multiple, orthogonal methods to gain a better understanding of recombinantly manufactured AAVs.

Diagnosis and treatment of refractory infectious diseases using nanopore sequencing technology: Three case reports.

BACKGROUND: Infectious diseases are still one of the greatest threats to human health, and the etiology of 20% of cases of clinical fever is unknown; therefore, rapid identification of pathogens is highly important. Traditional culture methods are only able to detect a limited number of pathogens and are time-consuming; serologic detection has window periods, false-positive and false-negative problems; and nucleic acid molecular detection methods can detect several known pathogens only once. Three-generation nanopore sequencing technology provides new options for identifying pathogens. CASE SUMMARY: Case 1: The patient was admitted to the hospital with abdominal pain for three days and cessation of defecation for five days, accompanied by cough and sputum. Nanopore sequencing of the drainage fluid revealed the presence of oral-like bacteria, leading to a clinical diagnosis of bronchopleural fistula. Cefoperazone sodium sulbactam treatment was effective. Case 2: The patient was admitted to the hospital with fever and headache, and CT revealed lung inflammation. Antibiotic treatment for Streptococcus pneumoniae, identified through nanopore sequencing of cerebrospinal fluid, was effective. Case 3: The patient was admitted to our hospital with intermittent fever and an enlarged neck mass that had persisted for more than six months. Despite antibacterial treatment, her symptoms worsened. The nanopore sequencing results indicate that voriconazole treatment is effective for Aspergillus brookii. The patient was diagnosed with mixed cell type classical Hodgkin's lymphoma with infection. CONCLUSION: Three-generation nanopore sequencing technology allows for rapid and accurate detection of pathogens in human infectious diseases.

High Arctic seawater and coastal soil microbiome co-occurrence and composition structure and their potential hydrocarbon biodegradation.

The accelerated decline in Arctic sea-ice cover and duration is enabling the opening of Arctic marine passages and improving access to natural resources. The increasing accessibility to navigation and resource exploration and production brings risks of accidental hydrocarbon releases into Arctic waters, posing a major threat to Arctic marine ecosystems where oil may persist for many years, especially in beach sediment. The composition and response of the microbial community to oil contamination on Arctic beaches remain poorly understood. To address this, we analyzed microbial community structure and identified hydrocarbon degradation genes among the Northwest Passage intertidal beach sediments and shoreline seawater from five high Arctic beaches. Our results from 16S/18S rRNA genes, long-read metagenomes, and metagenome-assembled genomes reveal the composition and metabolic capabilities of the hydrocarbon microbial degrader community, as well as tight cross-habitat and cross-kingdom interactions dominated by lineages that are common and often dominant in the polar coastal habitat, but distinct from petroleum hydrocarbon-contaminated sites. In the polar beach sediment habitats, Granulosicoccus sp. and Cyclocasticus sp. were major potential hydrocarbon-degraders, and our metagenomes revealed a small proportion of microalgae and algal viruses possessing key hydrocarbon biodegradative genes. This research demonstrates that Arctic beach sediment and marine microbial communities possess the ability for hydrocarbon natural attenuation. The findings provide new insights into the viral and microalgal communities possessing hydrocarbon degradation genes and might represent an important contribution to the removal of hydrocarbons under harsh environmental conditions in a pristine, cold, and oil-free environment that is threatened by oil spills.

Photothermally Heated Asymmetric Thin Nanopores Suggest the Influence of Temperature on the Intermediate Conformational State of Cytochrome c in an Electric Field.

Nanopore sensing is a label-free single-molecule technique that enables the study of the dynamical structural properties of proteins. Here, we detect the translocation of cytochrome c (Cyt c) through an asymmetric thin nanopore with photothermal heating to evaluate the influence of temperature on Cyt c conformation during its translocation in an electric field. Before Cyt c translocates through an asymmetric thin SiNx nanopore, ∼1 ms trapping events occur due to electric field-induced denaturation. These trapping events were corroborated by a control analysis with a transmission electron microscopy-drilled pore and denaturant buffer. Cyt c translocation events exhibited markedly greater broad current blockade when the pores were photothermally heated. Collectively, our molecular dynamics simulation predicted that an increased temperature facilitates denaturation of the α-helical structure of Cyt c, resulting in greater blockade current during Cyt c trapping. Our photothermal heating method can be used to study the influence of temperature on protein conformation at the single-molecule level in a label-free manner.

Investigating Splice Defects in USH2A Using Targeted Long-Read Sequencing.

Biallelic variants in USH2A are associated with retinitis pigmentosa (RP) and Type 2 Usher Syndrome (USH2), leading to impaired vision and, additionally, hearing loss in the latter. Although the introduction of next-generation sequencing into clinical diagnostics has led to a significant uplift in molecular diagnostic rates, many patients remain molecularly unsolved. It is thought that non-coding variants or variants of uncertain significance contribute significantly to this diagnostic gap. This study aims to demonstrate the clinical utility of the reverse transcription-polymerase chain reaction (RT-PCR)-Oxford Nanopore Technology (ONT) sequencing of USH2A mRNA transcripts from nasal epithelial cells to determine the splice-altering effect of candidate variants. Five affected individuals with USH2 or non-syndromic RP who had undergone whole genome sequencing were recruited for further investigation. All individuals had uncertain genotypes in USH2A, including deep intronic rare variants, c.8682-654C>G, c.9055+389G>A, and c.9959-2971C>T; a synonymous variant of uncertain significance, c.2139C>T; p.(Gly713=); and a predicted loss of function duplication spanning an intron/exon boundary, c.3812-3_3837dup p.(Met1280Ter). In silico assessment using SpliceAI provided splice-altering predictions for all candidate variants which were investigated using ONT sequencing. All predictions were found to be accurate; however, in the case of c.3812-3_3837dup, the outcome was a complex cryptic splicing pattern with predominant in-frame exon 18 skipping and a low level of exon 18 inclusion leading to the predicted stop gain. This study detected and functionally characterised simple and complex mis-splicing patterns in USH2A arising from previously unknown deep intronic variants and previously reported variants of uncertain significance, confirming the pathogenicity of the variants.

A cross-sectional survey of Blastocystis sp. and Dientamoeba fragilis in non-human primates and their caregivers in Czech zoos.

Intestinal protists in the gut microbiome are increasingly studied, but their basic epidemiology is not well understood. We explored the prevalence, genetic diversity, and potential zoonotic transmission of two protists colonizing the large intestine - Blastocystis sp. and Dientamoeba fragilis - in 37 species of non-human primates (NHPs) and their caregivers in six zoos in the Czech Republic. We analyzed 179 fecal samples (159 from NHPs, 20 from humans) by qPCR. Blastocystis sp. was detected in 54.7% (98/179) of samples, in 24 NHP species and in 57.2% of NHP samples (prevalence ranged between 36 and 80%), and in 35% of human samples (prevalence ranged between 0 and 67%). Using next generation amplicon sequencing, nine Blastocystis subtypes (ST1-ST5, ST7, ST8, and two novel subtypes) were identified. The two new Blastocystis subtypes (named ST47 and ST48) were described using Nanopore sequencing to produce full-length reference sequences of the small subunit ribosomal RNA gene. Some subtypes were shared between NHPs and their caregivers, suggesting potential zoonotic transmission. Mixed subtype colonization was frequently observed, with 52% of sequenced samples containing two or more subtypes. Dientamoeba was found only in NHPs with a prevalence of 6%. This study emphasizes the critical role of molecular diagnostics in epidemiological and transmission studies of these protists and calls for further research to better understand their impact on public health.

Secondary Nucleation of Aß Revealed by Single-Molecule and Computational Approaches.

Understanding the mechanisms underlying amyloid-ß (Aß) aggregation is pivotal in the context of Alzheimer's disease. This study aims to elucidate the secondary nucleation process of Aß42 peptides by combining experimental and computational methods. Using a newly developed nanopipette-based amyloid seeding and translocation assay, confocal fluorescence spectroscopy, and molecular dynamics simulations, the influence of the seed properties on Aß aggregation is investigated. Both fragmented and unfragmented seeds played distinct roles in the formation of oligomers, with fragmented seeds facilitating the formation of larger aggregates early in the incubation phase. The results show that secondary nucleation leads to the formation of oligomers of various sizes and structures as well as larger fibrils structured in ß-sheets. From these findings a mechanism of secondary nucleation involving two types of aggregate populations, one released and one growing on the mother fiber is proposed.

Corrigendum: Clinical value of metagenomic next-generation sequencing by Illumina and Nanopore for the detection of pathogens in bronchoalveolar lavage fluid in suspected community-acquired pneumonia patients.

[This corrects the article DOI: 10.3389/fcimb.2022.1021320.].

Evolutionary Insights from the Mitochondrial Genome of Oikopleura dioica: Sequencing Challenges, RNA Editing, Gene Transfers to the Nucleus, and tRNA Loss.

Sequencing the mitochondrial genome of the tunicate Oikopleura dioica is a challenging task due to the presence of long poly-A/T homopolymer stretches, which impair sequencing and assembly. Here, we report on the sequencing and annotation of the majority of the mitochondrial genome of O. dioica by means of combining several DNA and amplicon reads obtained by Illumina and MinIon Oxford Nanopore Technologies (ONT) with public RNA sequences. We document extensive RNA editing, since all homopolymer stretches present in the mitochondrial DNA correspond to 6U-regions in the mitochondrial RNA. Out of the 13 canonical protein-coding genes, we were able to detect eight, plus an unassigned ORF that lacked sequence similarity to canonical mitochondrial protein-coding genes. We show that the nad3 gene has been transferred to the nucleus and acquired a mitochondria-targeting signal. In addition to two very short rRNAs, we could only identify a single tRNA (tRNA-Met), suggesting multiple losses of tRNA genes, supported by a corresponding loss of mitochondrial aminoacyl-tRNA synthetases in the nuclear genome. Based on the eight canonical protein-coding genes identified, we reconstructed maximum likelihood and Bayesian phylogenetic trees and inferred an extreme evolutionary rate of this mitochondrial genome. The phylogenetic position of appendicularians among tunicates, however, could not be accurately determined.

Nanopore sequencing of IPNV vp2 gene in Peruvian Andean trout (Oncorhynchus mykiss) cultures.

Nanopore sequencing of the infectious pancreatic necrosis virus (IPNV) vp2 gene from Andean trout cultures in Peru reveals genogroups 1 and 5. This insight aids in understanding strain diversity and pathogenicity, vital for effective disease surveillance, and control measures in aquaculture.

Complete genome sequence of the OXA-48-producing Klebsiella pneumoniae strain 11978.

We announce the complete genome sequence of Klebsiella pneumoniae strain 11978 isolated from a patient hospitalized in Turkey in 2001. The genome belongs to sequence type 14 and includes three plasmids. Notably, it presents an IncL plasmid carrying blaOXA-48, which demonstrated global success in terms of dissemination.

Oxford Nanopore long read-based shotgun metagenomic data sets of simulated bacterial communities originating from fresh spinach and surface water.

Oxford Nanopore long reads of simulated bacterial communities from fresh spinach and surface water were generated (R9.4.1+SQK-LSK109 and R10.4+SQK-LSK112; 0.5, one, and two million reads). Salmonella enterica serotype Heidelberg, Montevideo, or Typhimurium was included alone or in combination in the spinach community, while the water community harbored Pseudomonas aeruginosa.

Draft genome sequence of Amyloporia xantha strain YAFMF0618, isolated from Gaoligong Mountain.

The Amyloporia genus is an important Chinese medicinal fungus. Here, we present a draft genome sequence of Amyloporia xantha strain YAFMF0618. The genome resource will support subsequent research into the potential secondary metabolite diversity of A. xantha.

Identification and expression analysis of Phosphate Transporter 1 (PHT1) genes in the highly phosphorus-use-efficient Hakea prostrata (Proteaceae).

Heavy and costly use of phosphorus (P) fertiliser is often needed to achieve high crop yields, but only a small amount of applied P fertiliser is available to most crop plants. Hakea prostrata (Proteaceae) is endemic to the P-impoverished landscape of southwest Australia and has several P-saving traits. We identified 16 members of the Phosphate Transporter 1 (PHT1) gene family (HpPHT1;1-HpPHT1;12d) in a long-read genome assembly of H. prostrata. Based on phylogenetics, sequence structure and expression patterns, we classified HpPHT1;1 as potentially involved in Pi uptake from soil and HpPHT1;8 and HpPHT1;9 as potentially involved in Pi uptake and root-to-shoot translocation. Three genes, HpPHT1;4, HpPHT1;6 and HpPHT1;8, lacked regulatory PHR1-binding sites (P1BS) in the promoter regions. Available expression data for HpPHT1;6 and HpPHT1;8 indicated they are not responsive to changes in P supply, potentially contributing to the high P sensitivity of H. prostrata. We also discovered a Proteaceae-specific clade of closely-spaced PHT1 genes that lacked conserved genetic architecture among genera, indicating an evolutionary hot spot within the genome. Overall, the genome assembly of H. prostrata provides a much-needed foundation for understanding the genetic mechanisms of novel adaptations to low P soils in southwest Australian plants.

Implications of m5C modifications in ribosomal proteins on oxidative stress, metabolic reprogramming, and immune responses in patients with mid-to-late-stage head and neck squamous cell carcinoma: Insights from nanopore sequencing.

Background: Head and Neck Squamous Cell Carcinoma (HNSCC) is a malignancy characterized by a high incidence and recurrence rate. 5-methylcytosine (m5C) RNA modification is a common alteration affecting cancer progression; however, how m5C operates within the tumor microenvironment of HNSCC remains to be elucidated. Methods: We conducted Nanopore sequencing on 3 pairs of cancer and paracancerous tissues from mid- and late-stage HNSCC, obtaining 132 upregulated genes (transcriptomically upregulated, m5C elevated) and 129 downregulated genes (transcriptomically downregulated, m5C reduced). Subsequent Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed; a differential gene interaction network (PPI) was constructed, revealing the interactions of each gene with others in the network. Co-expression analysis was performed on the genes within the PPI, unveiling their expression and regulatory relationships. Through GSVA analysis, variations in related pathways under different states were identified. Furthermore, results of m5C in lncRNA were screened, followed by target gene prediction. Results: Sequencing results from the 3 pairs of mid- and late-stage HNSCC cancer and paracancerous tissues demonstrated that RPS27A, RPL8, and the lncRNAs including differentiation antagonizing nonprotein coding RNA (DANCR), DCST1 antisense RNA 1 (CCDC144NL-AS1), Growth Arrest-Specific Transcript 5 (GAS5), Nuclear Paraspeckle Assembly Transcript 1 (NEAT1), and Small Nucleolar RNA Host Gene 3 (SNHG3), etc., under m5Cregulation, have close connections with surrounding genes. The differentially m5Cmodified genes are primarily involved in ribosomal protein synthesis, oxidative stress response, metabolic reprogramming, immunity, and other life processes; pathways like mitochondrial protein import and photodynamic therapy induced unfolded protein response are upregulated in the tumor, while pathways, including the classic P53, are suppressed. Analysis on m5C-regulated long non-coding RNAs (lncRNAs) revealed tight associations with RPS27A and RPL8 as well. Conclusion: Our study identifies the key factors and signaling pathways involving m5C in HNSCC. The findings suggest that ribosome-related genes might regulate ribosomal protein synthesis, oxidative stress response, metabolic reprogramming, and immune response through m5C RNA modification by means like hypoxia and ferroptosis, thereby playing a pivotal role in the onset and progression of HNSCC. Hence, attention should be paid to the role of ribosomes in HNSCC. These findings may facilitate the precision and individualized treatment of patients with mid- and late-stage HNSCC in clinical settings.

Improved Conductance Blockage Modeling of Cylindrical Nanopores, from 2D to Thick Membranes.

The ionic current blockage from a nanopore sensor is a fundamental metric for characterizing its dimensions and identifying molecules translocating through it. Yet, most analytical models predicting the conductance of a nanopore in both open and obstructed states remain inaccurate. Here, using an oblate spheroidal coordinate framework to study the electrical response of nanopore access regions, we reveal that the widely used model from Kowalczyk et al. significantly overestimates access region contributions when blocked by a cylindrical object, like DNA. To address this, we present an improved analytical model for the obstructed access resistance, which we establish as highly accurate through finite-element simulations, especially for ultrathin membranes and long narrow channels. Equipped with an improved nanopore conductance model, this work provides tools for more accurate calculation of the pore size and for the expected blockade from DNA, of high practical value for many biosensing applications.

Ten Thousand Recaptures of a Single DNA Molecule in a Nanopore and Variance Reduction of Translocation Characteristics.

Nanopores have emerged as highly sensitive biosensors operating at the single-molecule level. However, the majority of nanopore experiments still rely on averaging signals from multiple molecules, introducing systematic errors. To overcome this limitation and obtain accurate information from a single molecule, the molecular ping-pong methodology provides a precise approach involving repeated captures of a single molecule. In this study, we have enhanced the molecular ping-pong technique by incorporating a customized electronic system and control algorithm, resulting in a recapture number exceeding 10,000. During the ping-pong process, we observed a significant reduction in the variance of translocation characteristics, providing fresh insights into single-molecule translocation dynamics. An inhomogeneous translocation velocity of folded DNA has been revealed, illustrating a strong interaction between the molecule and the solid-state nanopore. The results not only promise heightened experimental efficiency with reduced sample volume but also increase the precision in statistical analysis of translocation events, marking a significant stride toward authentic single-molecule nanopore sensing.