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PubMed1989

Reading long words embedded in sentences: informativeness of word halves affects eye movements.

The possibility was explored that the informativeness of a specific region within a word can influence eye movements during reading. In Experiment 1, words containing identifying information either toward the beginning or toward the end were displayed asymmetrically around the point of fixation so that the reader was initially presented with either the informative or noninformative zone. Words were read with shorter summed initial fixation time when the reading was started from the informative zone. In Experiments 2 and 3, the target words were presented in sentences that were to be comprehended. More attention was given to the informative endings of words than to redundant endings. The latter were also skipped more often. The duration of the first fixation was not affected by information distribution within the word, whereas the second fixation duration was. The results of these experiments lend good support to the hypothesis of immediate lexical control over fixation behavior and to the notion of a convenient viewing position.

Adult↗

PubMed1988

The self-splicing intron in the Neurospora apocytochrome b gene contains a long reading frame in frame with the upstream exon.

We have determined the DNA sequence of intron 1 and flanking exons in the mitochondrial apocytochrome b gene of the Neurospora laboratory strain 74A and the natural isolate North Africa. In contrast to a previous report, we find that this intron contains an open reading frame (ORF) of 951 bases in frame with the upstream exon. The putative intron-encoded protein resembles those of other intron ORFs with respect to length, calculated isoelectric point, and proportion of basic, acidic, polar, and non-polar amino acids; however, no amino acid sequences resembling the "decapeptides" characteristic of maturase-like ORFs were found. Coupled with the previous finding that this intron is capable of self-splicing in vitro in the absence of proteins, the observations discussed here raise the possibility that other introns with long, in-frame ORFs may also be capable of RNA-catalyzed splicing in vitro.

Amino Acid Sequence↗

PubMed2002

Long-read pyrosequencing using pure 2'-deoxyadenosine-5'-O'-(1-thiotriphosphate) Sp-isomer.

Pyrosequencing, a nonelectrophoretic DNA sequencing method that uses a luciferase-based enzymatic system to monitor DNA synthesis in real time, has so far been limited to sequencing of short stretches of DNA. To increase the signal-to-noise ratio in pyrosequencing the natural dATP was replaced by dATPalphaS (M. Ronaghi et al., 1996, Anal. Biochem. 242, 84-89). The applied dATPalphaS was a mixture of two isomers (Sp and Rp). We show here that by the introduction of pure 2'-deoxyadenosine-5'-O'-(1-thiotriphosphate) Sp-isomer in pyrosequencing substantial longer reads could be obtained. The pure Sp-isomer allowed lower nucleotide concentration to be used and improved the possibility to read through poly(T) regions. In general, a doubling of the read length could be obtained by the use of pure Sp-isomer. Pyrosequencing data for 50 to 100 bases could be generated on different types of template. The longer read will enable numerous new applications, such as identification and typing of medically important microorganisms as well as resequencing of DNA fragments for mutation screening and clone checking.

Apyrase↗

PubMed2027

Workflow for Long-Read Amplicon Sequencing of Chikungunya Virus Using Oxford Nanopore Technology.

This protocol provides a comprehensive, step-by-step workflow for whole-genome sequencing of Chikungunya virus (CHIKV) using an amplicon-based strategy optimized for Oxford Nanopore Technologies (ONT) platforms. The procedure includes detailed instructions for sample handling, viral RNA extraction, quality control, cDNA synthesis, multiplex PCR amplification, library preparation, sequencing, and primary bioinformatic processing. The protocol is designed to maximize reproducibility across laboratories and is suitable for genomic surveillance applications, including outbreak investigation and molecular epidemiology, even when working with low-to-moderate viral loads.

Chikungunya virus↗

PubMed2025

Long-Read Sequencing of the MUC1 VNTR: Genomic Variation, Mutational Landscape, and Its Impact on ADTKD Diagnosis and Progression.

BACKGROUND: ADTKD-MUC1 is caused by frameshift mutations in MUC1 gene that produce a frameshifted protein (MUC1fs) toxic to kidney cells. The gene's variable number of tandem repeats (VNTR), with high GC content, makes it largely inaccessible to standard sequencing. As a result, both the reference sequence and natural variation in this region remain poorly defined, complicating mutation detection and data interpretation. Standard methods also fail to pinpoint the exact VNTR unit affected, limiting insight into mutation mechanisms and genotype-phenotype correlations. METHODS: We employed Single Molecule, Real-Time (SMRT) sequencing and characterized the genomic sequence of MUC1 in 300 individuals including 279 individuals from 143 families suspected of having ADTKD-MUC1. We compared these results to those obtained using the CLIA-approved mass spectrometry-based probe extension (PE) assay, which specifically detect the most prevalent 59dupC mutation. We correlated the structural features of the MUC1 VNTR with the rate of kidney function decline in affected individuals. RESULTS: We identified MUC1 consensus sequences for 205 unique VNTR alleles, with 9 distinct types of frameshift mutations present on 52 distinct mutated VNTR alleles. MUC1 frameshift mutations were identified in 71 of 143 families (50%) with suspected ADTKD, comprising 135 genetically affected individuals (48%). The SMRT assay exhibited complete concordance and revealed that the PE assay is capable of detecting frameshift mutations in approximately 85% of affected families. The constellation of VNTR structures supports a genotype-progression model, in which fast progressors exhibit a significantly lower number of repeat units on the wild-type allele and a higher number of repeats on the mutation-bearing allele, including an increased number of frameshifted repeat units. CONCLUSIONS: SMRT sequencing outperforms current diagnostic methods for ADTKD-MUC1 and reveals the prognostic value of VNTR structures. Although their contribution to disease progression is modest (~6% variance explained), it remains biologically and clinically meaningful.

Autosomal Dominant Tubulointerstitial Kidney Disea↗

PubMed2025

SMART-RNA-Metavirome: a practical RNA metavirome platform compatible with high-throughput sequencing of both short and long reads.

BACKGROUND: The RNA virosphere's extensive diversity and its role in emerging infectious diseases underscore the importance of non-targeted sequencing for identifying unknown or rare pathogens, including co-infections. However, enriching low-abundance viral sequences in RNA metaviromics, particularly in the preparation of cDNA libraries and their compatibility with next-generation sequencing (NGS) and third-generation sequencing (TGS), remains challenging. Therefore, our objective is to develop and systematically assess a practical RNA metavirome methodology specifically tailored for the enrichment of low-abundance viral sequences within samples. METHODS: We developed the SMART-RNA-Metavirome platform, integrating SMART-9n library preparation with NGS and TGS technologies. Total RNA was extracted from two field-collected wild Aedes albopictus pools, along with one laboratory-infected Ae. albopictus pool harboring dengue virus (DENV). This RNA was subjected to reverse transcription using both this optimized protocol and random primer-based methods, followed by high-throughput sequencing on Illumina, Oxford Nanopore, and QitanTech Nanopore technologies. Welch's t-test was employed for comparative analysis of the subsequent RNA metavirome data, specifically to evaluate differences in viral species composition and abundance of viral reads between experimental groups. Furthermore, the effectiveness of this platform was systematically validated via RT-qPCR and SMART-RNA-Metavirome-based Oxford Nanopore sequencing across multiple sample types, including mosquito specimens from DENV-infected Ae. albopictus, serum samples from dengue patients and viral isolates of Japanese encephalitis virus (JEV) and Zika virus (ZIKV). RESULTS: The SMART-RNA-Metavirome platform has been systematically validated to excel in enriching the composition and diversity of the RNA virome (P = 0.04), providing sufficient coverage for the complete reconstruction of viral genomes. When employed in the detection of DENV-infected Ae. albopictus, clinical serum samples, and viral isolates of JEV and ZIKV, this technique exhibits a robust correlation with RT-qPCR (r2 > 0.95). Notably, it demonstrates exceptional sensitivity, ensuring sufficient coverage even in samples of DENV-infected Ae. albopictus with a Ct-value of 35.3, attaining an impressive 99.88% genome coverage. Furthermore, this platform possesses the capability to identify virus species and determine their serotypes. CONCLUSIONS: In our study, the SMART-RNA-Metavirome platform outperforms traditional methods, enriching RNA virome composition and diversity, enabling practical compatibility with both NGS and TGS technologies. It demonstrates significant proficiency in detecting both known and unknown arboviruses, even in low-titer samples such as those from wild mosquitoes and clinical sera. This platform facilitates comprehensive monitoring, risk assessment, and early warning of RNA virus transmissions, enhancing our understanding of RNA virome diversity and ecological patterns.

High-Throughput Nucleotide Sequencing↗

PubMed2025

Accurate somatic small variant discovery for multiple sequencing technologies with DeepSomatic.

Somatic variant detection is an integral part of cancer genomics analysis. While most methods have focused on short-read sequencing, long-read technologies offer potential advantages in repeat mapping and variant phasing. We present DeepSomatic, a deep-learning method for detecting somatic small nucleotide variations and insertions and deletions from both short-read and long-read data. The method has modes for whole-genome and whole-exome sequencing and can run on tumor-normal, tumor-only and formalin-fixed paraffin-embedded samples. To train DeepSomatic and help address the dearth of publicly available training and benchmarking data for somatic variant detection, we generated and make openly available the Cancer Standards Long-read Evaluation (CASTLE) dataset of six matched tumor-normal cell line pairs whole-genome sequenced with Illumina, PacBio HiFi and Oxford Nanopore Technologies, along with benchmark variant sets. Across samples, both cell line and patient-derived, and across short-read and long-read sequencing technologies, DeepSomatic consistently outperforms existing callers.

Humans↗

PubMed2024

DeepSomatic: Accurate somatic small variant discovery for multiple sequencing technologies.

Somatic variant detection is an integral part of cancer genomics analysis. While most methods have focused on short-read sequencing, long-read technologies now offer potential advantages in terms of repeat mapping and variant phasing. We present DeepSomatic, a deep learning method for detecting somatic SNVs and insertions and deletions (indels) from both short-read and long-read data, with modes for whole-genome and exome sequencing, and able to run on tumor-normal, tumor-only, and with FFPE-prepared samples. To help address the dearth of publicly available training and benchmarking data for somatic variant detection, we generated and make openly available a dataset of five matched tumor-normal cell line pairs sequenced with Illumina, PacBio HiFi, and Oxford Nanopore Technologies, along with benchmark variant sets. Across samples and technologies (short-read and long-read), DeepSomatic consistently outperforms existing callers, particularly for indels.

Journal Article↗

PubMed2026

Comparative metagenomic assessment of Illumina-compatible library preparation methods, short-read lengths, and PacBio HiFi sequencing reveals differences in microbial and functional diversity recovery from a complex environmental sample.

UNLABELLED: Metagenomics enables comprehensive exploration of microbial communities but is influenced by library preparation and sequencing technologies, affecting recovery of microbial genomes and proteins. Here, we benchmarked six Illumina-compatible short-read library preparation conditions in triplicate at 2 × 150 bp and 2 × 250 bp read lengths alongside PacBio HiFi long-read sequencing using a composite environmental sample of marine mangrove sediment and terrestrial palm tree soil. Longer short reads (2 × 250 bp) combined with optimal library preparation approaches improved assembly quality, protein detection, and metagenome-assembled genome (MAG) recovery, achieving results approaching those of long-read sequencing. TruSeq libraries at 2 × 250 bp recovered more than sevenfold more unique proteins than the same kit at 2 × 150 bp (811,701 vs 110,108) using the same number of sequencing reads, while recovering a comparable number of high-quality MAGs to PacBio HiFi long-read sequencing (11 vs 18) and surpassing it in protein discovery by almost 10-fold (811,701 vs 87,745) at less than half of the sequencing cost. Furthermore, biosynthetic gene cluster analysis identified 46 biosynthetic gene clusters in TruSeq-250PE assemblies compared to 38 in PacBio HiFi, with several showing no close match in the MIBiG database. Although long reads yield more contiguity and complete genomes, longer short reads offer a cost-effective, scalable alternative for uncovering microbial and functional diversity. These findings provide critical guidance for metagenomic experimental design, demonstrating that strategic selection of library preparation chemistry and sequencing parameters can reveal more unknown microbial information in complex biomes without requiring additional sequencing depth. IMPORTANCE: Metagenomic outcomes are strongly influenced by library preparation and sequencing strategies, yet their combined effects in complex environmental samples remain poorly defined. Here, we provide the first direct comparison of Illumina NovaSeq short-read metagenomic sequencing at 2 × 150 bp and 2 × 250 bp across multiple library preparation kits, alongside PacBio HiFi long-read sequencing. We show that sequencing read length and library preparation critically shape assembly quality, protein recovery, and metagenome-assembled genome (MAG) reconstruction. These findings demonstrate that short-read sequencing at 2 × 250 bp, with appropriate library preparation, can match long-read technologies in MAG recovery while substantially surpassing them in protein discovery. With less than half of the sequencing price and a 3.5-fold reduction in cost per gigabase of usable data, this method facilitates more accessible large-scale metagenomic analysis within complex environmental systems.

Metagenomics↗

PubMed2026

Detection of short tandem repeats in the cattle genome: a comparison of bioinformatic tools.

BACKGROUND: Short tandem repeats (STRs) are repetitive DNA sequences with 1–6 nucleotide repeat units, exhibiting high polymorphism due to varying repeat counts. STRs are more variable than SNPs and can cause genetic disorders. With population-scale cattle whole-genome sequencing data available, whole-genome STR identification has attracted new interest, but challenges remain due to the lack of standardized methods, sequencing data limitations, and the diversity of STR-calling tools. This study compared six STR-calling tools: HipSTR, GangSTR, and ExpansionHunter for short-read data, and Straglr, RepeatHMM, and LongTR for Oxford Nanopore (ONT) long-read data—using sequences from five Holstein cattle (two parent–offspring trios with a shared sire). This is the first cattle study to evaluate short- and long-read STR callers using both data types from the same animals. RESULTS: In short-read data, ExpansionHunter identified the highest number of polymorphic STRs (pSTRs) (327,690), followed by HipSTR (205,900) and GangSTR (110,680), with 93,023 loci detected by all three tools. In long-read data, LongTR detected 470,250 pSTRs, RepeatHMM 224,185, and Straglr 90,275, with only 33,253 loci shared among them. Mendelian consistency of STR genotypes in the trio offspring was high (> 0.8) for all short-read tools, with HipSTR and GangSTR highest at 0.98. LongTR was the only long-read tool with high consistency (0.88). Short-read tools also showed higher concordance in STR genotypes among themselves than was observed among long-read tools. However, long-read tools had a clear advantage in detecting large STRs. Relative to computational efficiency, HipSTR and GangSTR (short-reads), and LongTR (long-reads) required less memory and shorter runtimes than the other tools. CONCLUSIONS: Tool selection is critical for accurate whole-genome STR identification in cattle. For short-read data, HipSTR showed relatively high Mendelian consistency and concordance compared to the other tools, while ExpansionHunter was able to detect longer STRs but with lower Mendelian consistency. For long-read data, LongTR demonstrated higher consistency and computational efficiency relative to the other tools. Based on these results, HipSTR and LongTR are suggested as preferred options for short-read and ONT long-read datasets, respectively, in cattle STR analysis. These recommendations are based on the metrics observed in this study, and confirmatory analyses across additional breeds, larger sample sizes, and validated truth sets are encouraged.

Animals↗

PubMed2026

Lineage-associated small inversions disrupt dosT, dnaE2, and a promoter-adjacent region in some Mycobacterium tuberculosis isolates.

UNLABELLED: Large molecular inversions in the genome of Mycobacterium tuberculosis (Mtb) due to factors like the presence of insertion sequences and transposases are widely known. However, smaller inversions within coding sequences and non-coding control elements are rarely reported. The present study aims to identify inversions and their potential impact on Mtb biology in a lineage-specific manner. Structural variants (SVs) could only be detected by long reads. For this, we simulated long reads by de novo assembling the short-read sequencing data sets and subsequently aligned representative strains from each lineage using the Progressive Mauve algorithm. Independently, long-read sequencing from the Pacific Biosciences platform was acquired and analyzed using the structural variant identification method. Variants were merged, and Fisher's exact test was carried out to identify the inversion association with lineages. To visualize deoxyribonucleic acid (DNA) features, the DNA-features-viewer tool was used. Simulated reads from short-read sequencing gave indications of lineage (L)-specific inversions. The long-read sequencing approach led to the identification of seven unique inversions: two positively associated with L1, one positively associated with L3, two negatively associated with L4, and two positively associated with L3 but negatively associated with L4 (P < 0.05). The inversions encompassed primarily non-essential genes like sdaA, dosT, Rv2026c, dnaE2, Rv1341, Rv1342, and lprD. An interesting inversion was observed in the upstream control element of purB and Rv0776c. The study sheds light on small inversions that may be causing alterations in expression, formation of fusion genes, and nonsense mutations that may have a role in lineage-specific phenotypic changes. IMPORTANCE: The role of mutations like SNPs and INDELs and their association with drug resistance is well known in Mycobacterium tuberculosis (Mtb). However, structural variations, especially inversions, are largely overlooked and unreported. In this paper, publicly available whole-genome sequencing datasets from Illumina and Pacific Biosciences-Oxford Nanopore Technologies platform have been used to detect inversions and report seven unreported Mtb lineage-specific small inversions.

Mycobacterium tuberculosis↗

PubMed2026

ONT-only genome assembly of a Korean male individual using a semen sample.

BACKGROUND: Long-read sequencing has enabled the generation of high-quality human genome assemblies, but many previous assemblies were based on blood-derived DNA and often relied on limited data types from a single sequencing strategy. OBJECTIVE: This study aimed to generate high-quality phased genome assemblies of a Korean individual using multiple independent long-read datasets produced from a single sequencing platform and to evaluate their utility for chromosome-scale assembly and variant detection. METHODS: Genomic DNA was extracted from a semen sample of a Korean male. Long-read, ultra-long-read, and chromatin conformation capture sequencing data were generated using Oxford Nanopore Technologies. These datasets were integrated to construct phased genome assemblies, followed by correction of noticeable phasing errors and assessment of assembly continuity, chromosomal representation, telomeric repeat recovery, and variant detection performance. RESULTS: The final phased assemblies spanned approximately 2.9 Gb and represented 23 pairs of chromosomes with an NG50 of 150 Mb. Telomeric repeats were detected at 36 and 37 of the 48 chromosomal ends in the two assemblies, indicating high end-to-end completeness. In addition, we successfully identified structural variants, including small variants. These results demonstrate that combining multiple Oxford Nanopore data types can produce highly continuous and informative phased human genome assemblies. CONCLUSIONS: We generated high-quality phased genome assemblies of a Korean individual using Oxford Nanopore long-read sequencing data derived from semen DNA. This publicly available genome resource will support broader applications of long-read sequencing in human genomics and variant analysis.

Humans↗

PubMed2026

Multiomic approaches identify a rare CCG repeat expansion in BCLAF3 in neurodevelopmental disorders.

BACKGROUND: Tandem repeat expansions have been implicated in various neurological conditions. Here, we present a novel hypermethylated CCG repeat expansion on Xp22 in the 5'UTR of BCLAF3 in males with neurodevelopmental disorders. METHODS: We used patient-derived fibroblasts and neuronal models from a family with BCLAF3 repeat expansions to generate multiomic data and investigate downstream molecular consequences of the repeat expansion. To identify additional affected individuals with BCLAF3 repeat expansions, we screened methylation arrays (n = 12,375) and short-read genomes (n = 15,963) from probands with neurodevelopmental presentations. We also characterized BCLAF3 repeat expansions in the general population using long-read sequencing data (n = 793) and population-level short-read sequencing data (n = 410,076). RESULTS: Long-read sequencing validated hypermethylation of expanded repeats. Patient-derived cells showed repressed BCLAF3 RNA and protein expression. We show that the BCLAF3 CCG repeat expansion constitutes a previously uncharacterized fragile site (FRAXG) that shifts the surrounding chromatin compartment from open euchromatin to closed heterochromatin. Using our multiomic screening approaches, we identified three additional unrelated males and one related male cousin with long-read sequencing validated (n = 2) or short-read sequencing predicted (n = 2) repeat expansions. In one family, the BCLAF3 repeats segregate with more severe phenotypes than expected for the primary diagnoses. Long-read sequencing in three carrier mothers showed skewed X-inactivation against the repeat expansion, highlighting the potential deleterious effect of an allele with an expansion. Expansions were absent in long-read sequencing data from control populations. Assessment of the BCLAF3 repeat expansion in the UK Biobank indicates that it may be ~ 20X rarer than FMR1 repeat expansions. CONCLUSIONS: CCG repeat expansions in the 5'UTR of BCLAF3 likely constitute a novel genetic etiology associated with X-linked neurodevelopmental phenotypes in males. Future work will be essential to delineate the phenotypic spectrum and determine a disease pathomechanism.

BCLAF3↗

PubMed1986

Characterization of a member of the highly repeated long interspersed rat DNA family with long open reading frames.

A highly repetitive long interspersed sequence from rat DNA has been isolated and partly characterized. This sequence comprises at least a 1300 base-pair and a 2400 base-pair EcoRI fragment and probably additional elements. The 2400 base-pair segment has been analyzed in detail. It appears to be part of the chromosomal DNA in rat cells. The 2400 base-pair repeat is likely to be distributed over several regions in the rat genome. The 2400 base-pair segment has been cloned, mapped for restriction sites, and part of its nucleotide sequence has been determined. The 2400 base-pair sequence is a member of a typical highly repetitive long interspersed sequence with high copy number and restriction site polymorphism. There are sequence homologies to mouse and human DNA. A striking homology has been detected to the flanking sequences of a repetitive mouse DNA sequence that has been described to be located adjacent to one of the kappa-immunoglobulin variable genes. Elements in the 2400 base-pair rat repeat are transcribed in cells from most rat organs and from several continuous rat cell lines. This RNA from rat cell lines was found polyadenylated or not polyadenylated. The nucleotide sequence of parts of the 2400 base-pair DNA segment revealed open reading frames for polypeptide sequences. Such open reading frames have been detected in two different segments of the 2400 base-pair DNA repeat. Open reading frames exist in the two complementary strands in the same DNA segment. The hypothetical polypeptide whose sequence has been determined in toto has a length of 190 amino acid residues and is enriched in hydrophobic amino acids, reminiscent of the amino acid composition in membrane proteins. Hence, it is conceivable that the 2400 base-pair repeat sequence from rat DNA, at least in part, encodes messenger RNAs that might be translated into functional proteins.

Amino Acid Sequence↗

PubMed2026

Genomic signatures of cold adaptation in a Himalayan drosophilid.

Drosophila nepalensis is a cold-adapted drosophilid endemic to the Himalayan region. Its ability to survive in harsh, cold conditions makes it a valuable Drosophila model for investigating how adaptation to thermal extremes may influence species persistence under future climate change. Here, we report the first de novo genome assembly of D. nepalensis, based on a hybrid sequencing strategy that combines Illumina short reads and Oxford Nanopore long reads. Illumina sequencing generated 49.88 million 150 bp paired-end reads (∼14.96 Gbp), while Nanopore sequencing produced 1.35 million long reads totaling ∼0.76 Gbp. The assembled genome spanned ∼178 Mb with an N50 of 83.6 kb and 98% BUSCO completeness, comparable to other well-annotated Drosophila genomes. Annotation identified 10,560 protein-coding genes, including transcription factor-rich and stress-related domains such as zinc fingers, WD40 repeats, and ankyrin motifs. Comparative orthology analysis across 6 Drosophila species identified 14,168 orthologous clusters, of which 9,173 were shared among all 6 species, indicating a conserved core genomic set across the sampled taxa. D. nepalensis showed 83 unique orthogroups and 50 singletons, suggesting some lineage-specific gene expansions associated with cold adaptation and endemicity, including families encoding caspase-family apoptotic regulators, chromatin remodeling proteins (HMGB/protamine-like), and SNARE-domain vesicle trafficking factors. Gene family evolution analysis revealed the highest expansions in the cold-tolerant Himalayan drosophilid, D. nepalensis, including significant expansions in serine protease, chaperone, and neurotransmitter transporter families, alongside dramatic contractions of core histone gene families, suggesting lineage-specific chromatin remodeling and ecological specialization.

Drosophila nepalensis↗

PubMed2026

A de novo algorithm for allele reconstruction from Oxford nanopore amplicon reads, with application to CYP2D6.

MOTIVATION: The Oxford Nanopore Technologies' sequencing platform offers a path towards bedside genomics, producing long reads that can completely cover a gene of interest, and detect any known or novel variant the gene contains. However, the analysis of these long reads to identify actionable genotypes remains challenging and typically requires customization depending on the target gene. RESULTS: Here, we describe a generic algorithm to accurately reconstruct allele sequences derived from long-reads of amplicon-based data. Rather than calling variants directly from these long-reads, our method takes a "sequence-first" approach, performing an unbiased reconstruction of the underlying amplicon sequences to generate high-confidence reconstructed allele sequences. This is done without user input of the target gene, allowing for any source amplicon to be reconstructed. These high-confidence reconstructed allele sequences are then compared to the genomic reference sequence of the gene to infer the specific diplotype present in the sample. This approach is agnostic towards the number of genes and alleles present and readily detects novel variants. We demonstrate our approach using three independent data sets for CYP2D6, a diverse and complex gene with over 175 known alleles of clinical significance. We show how our approach can accurately recover validated CYP2D6 diplotypes from 20 Coriell samples covering 14 distinct alleles, using different amplicons, flow cell versions, and depths. This includes inferring occurrences of allele duplication events from relative abundances of each allele, a critical factor for ascribing functional effects to a diplotype. Further, we demonstrate our approach's utility for other genomic regions, including HLA. AVAILABILITY: Custom code is available at the following GitHub repository, along with instructions for use and test data: https://github.com/scottdbrown/allele-reconstruction-long-read-amplicon-data. A snapshot of the code at the time of publication is available on Zenodo.org; doi 10.5281/zenodo.19716004. Raw .fastq sequence data for our three sequencing runs is available at the SRA under Bioproject PRJNA1357883 (https://www.ncbi.nlm.nih.gov/bioproject/1357883).

Alleles↗

PubMed2025

IBDV-SSA, a novel molecular approach for the recovery of infectious bursal disease virus whole genomes from FTA cards.

Infectious bursal disease (IBD), a highly contagious viral disease in young chickens, poses significant economic losses due to high mortality and immunosuppression. While IBD virus (IBDV) virulence is influenced by multiple genes, whole-genome sequencing (WGS) of IBDV is crucial for defining the strain pathotype and clinical profile. Flinders Technology Associates (FTA) cards are convenient for field sample collection, but their filter paper matrix can hinder nucleic acid recovery, impacting sequencing efficiency. This study evaluated two enrichment strategies, single primer amplification (SPA) and IBDV segment-specific amplification (SSA), coupled with short-read (Illumina) and long-read (Oxford Nanopore Technologies, ONT) sequencing platforms, to optimize IBDV whole-genome recovery from FTA cards. Illumina sequencing produced comparable raw read counts for both methods, yet IBDV-SSA samples achieved significantly higher genome mapping rates (76%) than IBDV-SPA (12%). Genome coverage analysis revealed that IBDV-SSA provided uniform read distribution across both genomic segments, ensuring complete coverage, while IBDV-SPA exhibited significant bias, with most reads mapping to segment B, and limited coverage of segment A. Importantly, IBDV-SSA also proved compatible with ONT long-read sequencing, providing complete genome coverage. Notably, IBDV-SSA coupled with short-read sequencing successfully characterized coinfections in two samples. This optimized approach using IBDV-SSA enables efficient and comprehensive WGS of IBDV from FTA cards, facilitating strain characterization, virulence prediction, and epidemiological investigations.IMPORTANCEThis research tackles a significant problem for poultry farmers: a virus called infectious bursal disease virus (IBDV) that harms young chickens, causing high death rates and economic losses. To fight it effectively, scientists need to analyze its complete genetic makeup. Traditionally, collecting and preserving IBDV field samples was challenging. Flinders Technology Associates (FTA) cards have simplified this process, but getting usable genetic material from them has been difficult. This study introduces a new genome enrichment method, IBDV segment-specific amplification (IBDV-SSA), which successfully allows for IBDV complete genome recovery from FTA cards. By using this improved approach, scientists can accurately identify virus strains, assess how harmful they are, and monitor their spread. This, in turn, helps to improve vaccines and protect flocks. IBDV-SSA is a powerful tool for outbreak surveillance, supporting the poultry industry and ensuring a stable food supply.

Infectious bursal disease virus↗

PubMed1985

Role of the 3' long open reading frame region of bovine leukemia virus in the maintenance of cell transformation.

Viral RNA expression was studied by dot blot hybridization with polyadenylated RNAs extracted from a bovine (YR-1) and an ovine (YR-2) tumor cell clone. Both clones were derived from in vivo bovine leukemia virus-induced tumors. The probes used were either the bovine leukemia virus information or only the long open reading frame sequences. No viral RNA corresponding to the bovine leukemia virus long open reading frame region was detected in YR-2, and a very limited amount of bovine leukemia virus messages was unraveled in YR-1. These results strongly suggest that viral expression, even in the long open reading frame region, is not required to maintain transformation of at least some tumor cells.

Animals↗