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[Effects of the afferent stimulation on neurons in the medial septal region slices and their modulation by biologically active compounds in hibernating and waking ground squirrels].

Responses of the medial septal (MS-DB) neurons to electrical stimulation of the medial forebrain bundle (MFB) and their modulation by some neuropeptides and monoamines were investigated in brain slices taken from two groups of ground squirrels-hibernating (HGS) and waking (WGS). Electrical stimulation evoked mostly inhibitory effects of various duration. Besides, responses by phase reset of the background rhythmic bursts and short-latency single spike responses were observed. The neuropeptides identified in the brain of hibernators differentially and reversibly modulated responses even in those neurons where they did not influence the level and pattern of the background activity. Effects of the peptides were state-dependent. E.g., the peptide TSKYR increased the duration of inhibitory effects in the HGS but shortened them in the WGS, while TSKY which had low efficacy in the HGS, increased the duration of inhibition in the WGS. Dipeptide DY depressed inhibitory components and augmented excitatory components of responses in the HGS but was much less effective in the WGS. Effects of noradrenaline and serotonin had stronger correlation with their influence on spontaneous activity. It is suggested that endogenous substances provide for the increased latent excitability and reactivity of the MS-DB neurons during seasonal hibernation. Thus, the MS-DB may function as a "sentry post" participating in signal detection and urgent arousal during hibernation.

Afferent Pathways↗

PubMed2025

Whole-genome sequencing, as a powerful diagnostic tool in hearing loss, reveals novel variants in PTPRQ missed by whole-exome sequencing.

BACKGROUND/OBJECTIVES: Hearing loss (HL) is one of the most common congenital disorders, affecting 1-2 in 1,000 newborns. Modern genetic diagnostics using large gene panels and/or whole exome analysis (WES) can identify disease-causing mutations in 25-50 % of patients, with higher solve rates in individuals with earlier onset. RESULTS: Here, we used whole-genome sequencing (WGS) to reanalyze 14 index patients/families who remained without genetic diagnosis by WES. We were able to identify the genetic cause of HL in 6 families (43 %). Two families were diagnosed with DFNB84A caused by compound heterozygous recessive mutations in PTPRQ. Three of the four underlying variants, including a structural variant, a deep intronic variant, and a splice variant, escaped detection by WES. Minigene assays confirmed the pathogenicity of the intronic and the splice variants. In addition, we used protein 3D structure prediction and rigid ligand docking to study the pathogenicity of variants that escape nonsense-mediated decay. CONCLUSION: In our study, we present four novel variants in PTPRQ, three of which were detected only by WGS. To our knowledge, we report here the first pathogenic deep intronic PTPRQ variant causing HL. Our results suggest that the mutational spectrum of PTPRQ is not well covered by standard WES and that PTPRQ-associated hearing loss may be more frequent than previously thought. WGS provides an additional layer of information in the diagnostics of HL.

Humans↗

PubMed2025

Founder Homozygous Nonsense CREB3 Variant and Variable-Onset Retinal Degeneration.

IMPORTANCE: Uncovering the genetic basis of inherited retinal diseases (IRDs) can enhance both diagnostic accuracy and the development of targeted treatment strategies. OBJECTIVE: To evaluate the association between a homozygous nonsense variant in CREB3 with IRDs. DESIGN, SETTING, AND PARTICIPANTS: Thirteen patients with a clinical diagnosis of retinitis pigmentosa or cone-rod degeneration were analyzed by whole-genome sequencing (WGS) and whole-exome sequencing (WES). Clinically, patients presented with 2 main phenotypes, rod-cone and cone-rod dystrophies, demonstrating variable electrophysiological and fundoscopic findings. Expression analysis was performed on patient-derived skin fibroblasts using the reverse transcription-polymerase chain reaction and Western blot analysis, and by interrogating previously published retinal single-cell RNA sequence data. Immunohistochemistry staining was performed on wild-type mouse retinal sections using an anti-CREB3 antibody. Patients with variable phenotypes of IRDs were recruited from 3 medical centers in Israel and Italy. Ophthalmologists clinically diagnosed patients at the relevant medical centers and referred them for genetic screening. WES and WGS were performed at different national and international centers, and the findings of the previously unreported gene were shared between investigators. EXPOSURES: CREB3 and IRDs. MAIN OUTCOMES AND MEASURES: The main outcome was evidence supporting an association between CREB3 and IRD. Measures included WES, WGS, and immunohistochemistry staining. RESULTS: A founder homozygous nonsense variant in CREB3 (c.881G>A, p.Trp294*) was identified in 13 patients from 4 unrelated families; 12 descendent from North-African Jewish origins and 1 from Italian origins. All patients manifested retinal degeneration with varying ages at onset. In patient-derived fibroblasts, the variant mRNA transcript generated a truncated CREB3 protein. Expression analysis and immunohistochemistry staining revealed CREB3 RNA and protein expression in various retinal cell types, indicating its vital role in photoreceptor function. CONCLUSIONS AND RELEVANCE: This study found an association between CREB3 and IRDs. CREB3 was previously shown to be upregulated following ultraviolet radiation. This might contribute to the extensive clinical variability observed in this relatively large cohort of homozygous patients with the same truncated variant.

Humans↗

PubMed2004

Investigation of susceptibility loci identified in the UK rheumatoid arthritis whole-genome scan in a further series of 217 UK affected sibling pairs.

OBJECTIVE: A previous whole-genome scan (WGS) of 182 UK rheumatoid arthritis (RA) affected sibling pair (ASP) families suggested linkage to HLA and 11 other chromosome regions. Replication of such findings in an independent cohort can help to distinguish true linkages from false-positive linkages. Since RA is a heterogeneous disease, some loci may be linked only in subsets of patients. Thus, the aim of this study was to investigate in an additional set of RA ASP families linkage to regions showing deviation in expected allele-sharing ratios in the UK WGS and to perform subset analysis on the combined cohort. METHODS: Twenty loci were investigated for linkage in 217 Caucasian UK RA ASPs. Stratification analysis was performed on the combined cohort of 377 RA ASP families to account for sex, RA severity, and the shared epitope (SE). RESULTS: None of the regions of linkage identified in the initial WGS achieved statistical significance in the second cohort. In contrast, after stratification analysis, 14 regions showed nominal evidence of linkage (logarithm of odds score >0.8) in one or more subgroups. In particular, the strength of evidence for linkage to chromosome 16p was increased in subsets of ASPs with younger age at disease onset (LOD score 2.38) and for linkage to chromosome 6q in female-female ASPs (LOD score 2.31) and in ASPs in which both siblings had 2 copies of the SE (LOD score 3.03). CONCLUSION: These results support the evidence for heterogeneity of RA. This information will inform the future design of association-based investigations as the search for disease genes in the linked regions begins.

Age of Onset↗

PubMed2025

Development and Validation of Amplicon-Based Protocol for Sequencing of Respiratory Syncytial Virus Genome.

The most prevalent cause of severe respiratory infections in children is the human respiratory syncytial virus (RSV). The advent of next-generation sequencing (NGS) has made it possible to incorporate this technology into pathogen monitoring and surveillance. Whole-genome sequencing (WGS) of RSV has now become a relatively widely used method for tracking viral evolution. Here we report an improved high-throughput RSV-WGS assay performed directly on clinical samples that is suitable for short-read sequencing platforms. A total of 100 RSV-positive samples collected between November 2022 and March 2024 fulfilled the inclusion cycle quantification criteria and were randomly included in the validation process. The WGS protocol was designed to amplify three distinct amplicons to cover the entire RSV genome. The protocol described here can be successfully replicated in several instances (approximately 95%) in samples with a relatively low viral load, typically corresponding to cycle of quantification values of 27-32. The amplicon-based protocol produced meaningful sequencing results in terms of median depth of coverage (more than 12000×) and median of mapped reads (> 1 × 106 reads). The sequences that had passed the filters showed a coverage of at least 98% across the entire genome, with cycle quantification values of 32. Based on the obtained data resulting in an easy-to-perform protocol helpful for the molecular epidemiology surveillance of RSV.

Humans↗

PubMed2025

Assessment of genomic prediction capabilities of transcriptome data in a barley multi-parent RIL population.

Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations. We investigated the potential of increasing prediction ability by combining genomic and transcriptomic datasets, adding whole-genome sequencing (WGS) SNP data, functional annotation-based filtering, and empirical quality filtering. Our RNA-Seq data were generated cost-efficiently using small-footprint plant cultivation, high-throughput RNA extraction, and Library preparation miniaturization. We also examined sequencing depth reduction as an additional cost-saving measure. We used fivefold cross-validation to evaluate the prediction ability of the gene expression dataset, the RNA-Seq SNP dataset, and the consensus SNP dataset between the RNA-Seq and parental WGS data, resulting in prediction abilities between 0.73 and 0.78. The consensus SNP dataset performed best, with five out of eight traits performing significantly better compared to a 50K SNP array, which served as a benchmark. The advantage of the consensus SNP dataset was most prominent in the inter-population predictions, in which the training and validation sets originated from different RIL sub-populations. We were therefore able to not only show that RNA-Seq data alone are able to predict various complex traits in barley using RILs, but also that the performance can be further increased with WGS data for which the public availability will steadily increase.

Hordeum↗

PubMed2026

Clinical and Genomic Insights into the Allodiploid Hybrid Pathogen Aspergillus latus: A Retrospective Case Series.

Aspergillus latus is an emerging cryptic allodiploid hybrid pathogen within Aspergillus section Nidulantes that closely resembles related species and therefore prone to misidentification by routine diagnostic methods. Therefore, its true clinical burden is likely underestimated. In this study, we retrospectively characterized five patients with A. latus infections identified by metagenomic next-generation sequencing (mNGS) at a tertiary hospital in China. Clinical manifestations varied according to host immune status, ranging from a subclinical pulmonary lesion in an immunocompetent individual to aggressive disease in highly immunocompromised patients. Conventional microbiological methods showed limited sensitivity and consistently misidentified the isolates as A. nidulans, whereas mNGS enabled accurate detection of A. latus together with complex co-infections. Three viable clinical isolates were recovered for morphological characterization, antifungal susceptibility testing, and whole-genome sequencing (WGS). All tested isolates demonstrated reduced susceptibility to echinocandins but remained susceptible to mold-active triazoles and amphotericin B. Furthermore, WGS and macrosynteny analyses confirmed their allodiploid hybrid nature, revealing a mosaic genome derived from A. spinulosporus and an A. quadrilineatus-related lineage. Collectively, these findings highlight that A. latus may be missed by routine diagnostic methods and may exhibit a distinct antifungal susceptibility profile. Molecular approaches such as mNGS and WGS may therefore help achieve accurate species-level identification and support targeted antifungal therapy. Given this small retrospective case series, larger prospective and multicenter studies are needed to validate these observations and better define the epidemiology, clinical spectrum, and therapeutic implications of this emerging allodiploid hybrid pathogen.

Retrospective Studies↗

PubMed2026

Genomic and phenotypic characterization of mcr-9 carrying Enterobacter oligotrophicus recovered from bovine mastitis.

Bovine mastitis (BM) is a leading cause of economic loss in the dairy industry, driven by decreased milk yields, involuntary culling, and substantial veterinary costs. A single Gram-negative isolate recovered from BM was characterized in this study. For this, antimicrobial susceptibility testing (AST) was performed using the Neg-Urine-Combo 98 panel. Whole-genome sequencing (WGS) was employed to identify antimicrobial resistance genes (ARG), virulence factors (VF) genes, plasmid replicons and prophage sequences. Comparative genomic analysis was performed through phylogenetic analysis. The BM isolate was phenotypically identified as Citrobacter rodentium, however, WGS analysis reclassified the isolate as Enterobacter oligotrophicus. Phenotypic AST revealed a resistance profile of 12%, with the isolate exhibiting resistance to β-lactams antimicrobials, specifically amoxicillin-clavulanate, ampicillin and the cephalosporin-cefoxitin. Conversely, susceptibility was demonstrated for the remaining tested antimicrobials. Genomic profiling identified 31 ARG, 10 VF genes and 6 prophage sequences within the E. oligotrophicus genome. This study provides the first evidence of E. oligotrophicus as a causative agent of BM, expanding the known spectrum of pathogens affecting the dairy industry by delivering the second complete genome of E. oligotrophicus available globally. The identification of 31 ARG, 10 VF, and 6 prophage sequences underscore the potential pathogenic risk and environmental resilience of this isolate. These findings highlight the critical role of WGS-based surveillance in identifying non-conventional mastitis pathogens and underscore the need for targeted mitigation strategies in veterinary medicine.

Animals↗

PubMed2026

Routine methods misidentify Serratia spp.: Limitations of MALDI-TOF MS revealed by whole-genome sequencing.

Accurate species-level identification within the genus Serratia remains challenging due to extensive phenotypic overlap and high genomic relatedness among closely related and recently described taxa. This study presents an evaluation of routine and genome-based identification approaches applied to clinical Serratia isolates, integrating phenotypic assays, MALDI-TOF MS (Bruker Daltonics), 16S rRNA gene sequencing, and Whole-Genome Sequencing (WGS). A total of 103 isolates collected from a teaching hospital were analyzed. WGS was performed on a subset of isolates. Conventional biochemical methods classified all isolates as Serratia marcescens, whereas MALDI-TOF MS identified 60.1% as S. marcescens, 11.6% as S. ureilytica, and 28.1% just at the genus level. Peak analysis from MALDI-TOF MS revealed specific peaks associated with S. marcescens and S. ureilytica, but limited discriminatory power. WGS of six isolates initially identified as S. ureilytica by MALDI-TOF MS revealed reclassification as Serratia sarumanii (n = 5) and Serratia montpellierensis (n = 1), supported by Average Nucleotide Identity (ANI), Average Amino Acid Identity (AAI), and Digital DNA-DNA Hybridization (dDDH) thresholds. In contrast, 16S rRNA analysis showed limited species-level resolution. Phylogenomic and SNP-based analyses confirmed these classifications with strong support. Overall, this study underscores the critical role of high-resolution genomic approaches for precise species identification and highlights the need for continuous expansion and curation of MALDI-TOF MS reference databases to support reliable clinical diagnostics and epidemiological surveillance of emerging Serratia species.

Spectrometry, Mass, Matrix-Assisted Laser Desorpti↗

PubMed2026

Machine learning-based drug susceptibility prediction from Candida genomic data.

OBJECTIVES: Invasive Candida infection is an increasing clinical concern, with antifungal resistance rising across multiple species. However, rapid and accurate antifungal susceptibility testing (AFST) remains limited in routine practice. The study evaluated species distribution and antifungal susceptibility of invasive Candida isolates in China and assessed the feasibility of combining whole-genome sequencing (WGS) with machine learning to predict minimum inhibitory concentrations (MICs). METHODS: Consecutive non-repetitive isolates were collected from 20 hospitals in 13 provinces during 2022-2023. MICs of nine antifungal agents were determined by broth microdilution, and WGS was performed for species accounting for >5% of the total isolates. Genomic 11-mer features were extracted and used to train random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost) models, followed by optimization of the best-performing algorithm. RESULTS: A total of 337 isolates were obtained from blood (n = 232) and sterile body fluids (n = 105), comprising C. albicans (n = 103), C. tropicalis (n = 71), C. parapsilosis (n = 67), and C. glabrata (n = 63). Non-albicans Candida showed higher azole and echinocandin resistance, with C. tropicalis notably resistant to azoles and C. glabrata to echinocandins. Among the three models, RF demonstrated the best performance on 304 sequenced isolates. The optimized RF model was evaluated by the receiver operating characteristic (ROC) curve analysis and achieved an average area under the ROC curve (AUC) of 0.979 (95% CI: 0.974-0.984), essential agreement over 90.1%, and categorical agreement over 93.2% across species. CONCLUSIONS: These findings underscore the clinical challenge posed by non-albicans Candida resistance, and indicate that WGS-based MIC prediction may offer a highly accurate reference for earlier antifungal therapy.

Antifungal Agents↗

PubMed2026

Nanopore-based, long-range Parvovirus B19 amplicon sequencing for near-whole genome characterization.

BACKGROUND: Whole-Genome Sequencing (WGS) enables monitoring of genomic variation and evaluation of diagnostic PCR assays. However, WGS data for Parvovirus B19 (B19V) remains limited despite its relevance for clinical care and transfusion safety. To increase the availability of high-quality B19V genomic data, a near-WGS protocol was developed and validated. METHOD: The protocol combines long-range PCR to generate a 4.6-kb amplicon, covering ∼82% of the B19V genome, with Oxford Nanopore sequencing. Validation was performed using six reference samples and nineteen B19V-positive donor plasma samples. RESULTS: After quality control, samples achieved a median sequencing depth of 152x. Sequences generated from the six reference samples showed 100% concordance with previously published data. Genomic analysis of donor samples explained atypical amplification profiles observed during routine PCR screening. CONCLUSION: The newly developed protocol provides a scalable method for B19V genome characterization, enabling assessment of oligonucleotide-binding regions for PCR assay monitoring and facilitating the generation of genomic data for future epidemiological investigations.

PCR assay monitoring↗

PubMed2026

Characterisation of Carbapenem-Resistant Raoultella planticola and Structural Analysis of NDM Composite Plasmids.

OBJECTIVE: This study aimed to investigate the molecular characteristics, resistant plasmid structures and phylogeny of a carbapenem-resistant Raoultella planticola (CRRP) strain from a patient with pneumonia to inform antimicrobial resistance control strategies. METHODS: We performed strain identification using MALDI-TOF MS, the BD Phoenix 100 system and whole-genome sequencing (WGS). We assessed antimicrobial susceptibility and resistance gene transfer using PCR, conjugation and stability assays, plasmid structure using a bioinformatics tool and phylogeny using a core-genome phylogenetic tree. RESULTS: WGS confirmed the isolate as R. planticola (average nucleotide identity (ANI) > 98.9% with reference type strains), co-harbouring blaKPC-2 and blaNDM-1. It was resistant to 19 antimicrobial agents and susceptible to only polymyxin, amikacin and chloramphenicol. Resistance genes were present on two conjugative plasmids: pzwx_KPC (IncFIA) and pzwx_NDM (a novel repFIB/repHI5B hybrid assembled via non-homologous end joining). Both plasmids demonstrated efficient transfer and stable inheritance over 12 passages. pzwx_KPC was highly homologous to plasmids from Klebsiella pneumoniae. Phylogenetic analysis revealed the closest relationship with German R. planticola strains. CONCLUSION: CRRP carries highly transmissible and stable resistance plasmids. Strengthened monitoring in immunocompromised patients and improved environmental disinfection are recommended. The risk of misidentification by automated systems underscores the importance of WGS for accurate pathogen identification.

Carbapenem resistance↗

PubMed2026

Evaluation of one-step amplicon-based targeted enrichment for SARS-CoV-2 whole-genome sequencing using the Midnight amplicon scheme.

Genomic surveillance proved invaluable during the COVID-19 pandemic for tracking SARS-CoV-2 variants and guiding outbreak responses, underscoring the ongoing need to reduce whole-genome sequencing (WGS) costs and improve workflow efficiency to ensure accessibility in resource limited settings. Here, we evaluated a one-step reverse transcription polymerase chain reaction (RT-PCR) approach using the Midnight V2 primer scheme for targeted amplification of the SARS-CoV-2 genome, assessed its compatibility with Illumina sequencing, and compared its performance to a well-established two-step method. Initially, we determined optimal RT-PCR reaction conditions using the Midnight V2 primer panel for the one-step RT-PCR kit and scaled reaction volumes for both RT-PCR and library preparation. Clinical specimens (n = 53) that had undergone routine WGS for surveillance purposes using the established two-step RT-PCR method were compared using the one-step RT-PCR assay. For samples with genome completeness greater than 70%, both methods gave comparable results with similar sequence coverage and 100% concordance for lineage assignment. Further investigation revealed a higher percentage of reads aligning to the SARS-CoV-2 genome with a greater depth of coverage using the one-step method compared to the two-step method. Finally, analysis of scaled one-step and library reaction volumes revealed significant cost savings for samples undergoing WGS. Overall, the results presented here verify the accuracy and reproducibility of one-step targeted amplification and offer an efficient and cost-effective workflow for routine SARS-CoV-2 genomic surveillance.

Humans↗

PubMed2003

The paradoxically high reactivity of septal neurons in hibernating ground squirrels to endogenous neuropeptides is lost after chronic deafferentation of the septum from the preopticohypothalamic areas.

The effect of neuropeptides (TSKYR, TSKY and DY) and neurotransmitters (serotonin and noradrenaline) on the activity of medial septum (MS) neurons from the brain of summer wakening ground squirrels (WGS), hibernating ground squirrels (HGS), and hibernating ground squirrels with the undercut septum (UHGS) was studied. It was shown that in HGS, the neuropeptides were substantially more effective in modulating the spontaneous activity of MS neurons than in WGS. The undercutting of MS led to the disappearance of the increased responsiveness to the neuropeptides: in UHGS, neuropeptide-induced changes in the spontaneous activity became nearly identical to those in WGS. The decrease in MS responsiveness in UHGS is due mainly to pacemaker neurons, which cease to respond to the peptides. It was shown that the neuropeptides have a dual effect: they change the level of spontaneous activity through direct modulation of pacemaker potential and control responses to electrical stimulation by modulating the synaptic transmission. Contrary to neuropeptides, neurotransmitters were highly effective in neurons of all groups of animals. Presumably, the enhanced excitability of MS during hibernation, which is necessary for performing the 'sentry post' function, is formed under the influence of the preopticohypothalamic area, and this influence is mediated by peptides.

Action Potentials↗

PubMed2005

In situ time-resolved characterization of Au-CeO2 and AuOx-CeO2 catalysts during the water-gas shift reaction: presence of Au and O vacancies in the active phase.

Synchrotron-based in situ time-resolved x-ray diffraction and x-ray absorption spectroscopies were used to study the behavior of nanostructured {Au+AuO(x)}-CeO(2) catalysts under the water-gas shift (WGS) reaction. At temperatures above 250 degrees C, a complete AuO(x)-->Au transformation was observed with high catalytic activity. Photoemission results for the oxidation and reduction of Au nanoparticles supported on rough ceria films or a CeO(2)(111) single crystal corroborate that cationic Au(delta+) species cannot be the key sites responsible for the WGS activity at high temperatures. The rate determining steps for the WGS seem to occur at the gold-ceria interface, with the active sites involving small gold clusters (<2 nm) and O vacancies.

Journal Article↗

PubMed2006

A Sanger/pyrosequencing hybrid approach for the generation of high-quality draft assemblies of marine microbial genomes.

Since its introduction a decade ago, whole-genome shotgun sequencing (WGS) has been the main approach for producing cost-effective and high-quality genome sequence data. Until now, the Sanger sequencing technology that has served as a platform for WGS has not been truly challenged by emerging technologies. The recent introduction of the pyrosequencing-based 454 sequencing platform (454 Life Sciences, Branford, CT) offers a very promising sequencing technology alternative for incorporation in WGS. In this study, we evaluated the utility and cost-effectiveness of a hybrid sequencing approach using 3730xl Sanger data and 454 data to generate higher-quality lower-cost assemblies of microbial genomes compared to current Sanger sequencing strategies alone.

Biotechnology↗

PubMed2025

4CMenB vaccine coverage of invasive serogroup B meningococci collected in Belgium between 2016 and 2022.

Neisseria meningitidis infections can cause life-threatening meningitis and septicemia. In Europe, serogroup B (MenB) is the leading cause of invasive meningococcal disease (IMD), particularly in young children. Genomic surveillance of circulating MenB strains through whole genome sequencing (WGS) provides a powerful tool to assess the potential impact of vaccination strategies, including the 4CMenB vaccine, which is available for infants from 2 months of age. Here, we present a retrospective WGS-based analysis of clinical MenB IMD cases (n = 311) recovered in Belgium from 2016 to 2022 by the Belgian National Reference Center. High-quality WGS data were obtained for 281 of these strains, demonstrating high genetic diversity of the antigen targets included in the 4-component meningococcal serogroup B vaccine 4CMenB (fHbp, PorA, NHBA and NadA) and at the 4CMenB Antigen Sequence Types (BAST) level. Novel antigen combinations, not yet assigned a BAST ID, were detected in 23.5% of isolates. Vaccine coverage was predicted using the Genetic Meningococcal Antigen Typing System (gMATS) and the Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR) index. Of the 281 strains, 79.5% (lower limit-upper limit: 68.0-91.5%) were predicted to be covered by the vaccine by gMATS, and 80.7% (lower limit-upper limit: 66.5-95.4%) by MenDeVAR. No evidence of variation in vaccine coverage was found throughout the study period nor between different age groups, demonstrating the broad applicability of 4CMenB. This study highlights the benefits of a pathogen surveillance program and the need for experimental characterization of continuously evolving antigenic subvariants of Neisseria meningitidis.

Humans↗

PubMed2026

Graph-KIR: graph-based KIR copy number estimation and allele calling using short-read sequencing data.

MOTIVATION: The Killer-cell Immunoglobulin-like Receptor (KIR) is a highly polymorphic region in the human genome, associated with autoimmune diseases and organ transplantation. The sequences of KIR genes are highly similar among star alleles as well as in between individual genes, with the copy number of each KIR gene typically ranging from 0 to 4. In this study, we introduce Graph-KIR, a tool designed to estimate gene copy numbers and predict full-resolution (7-digit, encompassing both coding and non-coding sequence variations) from a whole genome sequencing (WGS) sample. RESULTS: Graph-KIR is capable of independently typing KIR alleles per sample with no reliance on the distribution of any framework gene in a cohort. In a set of 100 simulated samples, Graph-KIR demonstrated 99.2% accuracy in copy number estimation and high F1-score of allele typing: 91.79% at 7-digit resolution, 97.37% at 5-digit resolution, and 97.11% at 3-digit resolution. Graph-KIR outperforms existing tools such as Geny (96.39% F1-score), PING's WGS version (92.77% F1-score), and T1K (90.44% F1-score) at 5-digit resolution. By analyzing the results on 44 HPRC samples, Graph-KIR achieves better F1-score than Geny and PING at 7-digit resolution. The release of Graph-KIR adds another valuable tool to assist users in accurately estimating copy numbers and calling alleles of KIR genes from WGS samples. AVAILABILITY AND IMPLEMENTATION: The Graph-KIR and paper-related pipeline codes are available at https://github.com/linnil1/KIR_graph.

Receptors, KIR↗