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Diagnostic and phylogenetic perspectives of the 2023 Murray Valley encephalitis virus outbreak in Australia: an observational study.

BACKGROUND: An outbreak of Murray Valley encephalitis virus (MVEV), the largest since 1974, was observed in Australia between Jan 1 and July 31, 2023. This study aims to characterise the utility of diagnostic platforms, testing algorithms, and genomic characteristics of MVEV to facilitate a comprehensive framework for MVEV testing and surveillance in the outbreak setting. METHODS: In this observational study, we assessed flavivirus diagnostics for all patients with suspected Murray Valley encephalitis in Australia from Jan 1 to July 31, 2023. We included all patients with confirmed Murray Valley encephalitis, probable Murray Valley encephalitis, or acute unspecified flavivirus infection using the Communicable Diseases Network Australia case definition. Cases were excluded if an alternative diagnosis was identified. We collected blood, serum, cerebrospinal fluid, brain tissue, urine, or a combination of these samples, as appropriate and at the discretion of the treating clinician. We conducted multimodal diagnostic testing, which included flavivirus-specific serological and nucleic acid amplification testing. Metagenomic next-generation sequencing, including next-generation deep sequencing, target-enrichment, and targeted amplification, was conducted on human and representative mosquito-derived samples obtained from established mosquito population surveillance programmes for phylogenetic analysis. FINDINGS: 27 patients with encephalitis were assessed for MVEV between Jan 1, 2023, and July 31, 2023, 23 (85%) of whom fulfilled national case definitions for confirmed Murray Valley encephalitis. Patient ages ranged from 6 weeks to 83 years (median 62·0 years [IQR 31·0-67·5]) and patients were mostly male (21 [78%] male patients and six [22%] female patients). Incidence varied widely by geographical region and was highest in the Northern Territory (32·0 per 1 000 000 population). Diagnostic specimen collection generally occurred promptly (median 6·0 days [IQR 4·0-14·5] from symptom onset to diagnostic specimen collection). In seven patients, case assignation relied on convalescent serum samples to assess for seroconversion or an appropriate rise in antibody titre (to four times the initial value or greater), or both. MVEV-specific IgM was detectable in serum samples of 17 (81%) of 21 patients tested by day 7 and MVEV IgG or total antibody (TAb) were detected in 18 (100%) of 18 patients tested by day 30. MVEV-specific IgM (or TAb) and MVEV RNA were detected in cerebrospinal fluid collected within 14 days of symptom onset in nine (39%) of 23 patients and seven (28%) of 25 patients, respectively. Phylogenetic analysis revealed two circulating MVEV genotypes, G1A and G2, in mosquitoes and humans in 2023. In southeast Australia, only G1A was detected and probably introduced from enzootic foci in northern Australia. INTERPRETATION: This study provides a comprehensive overview of the diagnostic workflows and phylogenetic evaluations used during the 2023 MVEV outbreak in Australia, emphasising the importance of a multimodal approach for accurate and timely confirmation of flavivirus infection. Further One Health surveillance for MVEV and other zoonotic flaviviruses is key, given potential expanded ecological niches in the context of episodic climatic events. FUNDING: None.

Humans↗

Evaluation of the BeTha gene 1 kit for the qualitative detection of the eight most common Mediterranean beta-thalassemia mutations.

We describe the evaluation of the Bio-Rad BeTha Gene 1 kit (Bio-Rad Laboratories, Hercules, CA), a DNA-probe assay designed for the qualitative determination of the eight most common Mediterranean beta-thalassemia mutations. The kit utilizes the principle of allele-specific oligonucleotide (ASO) hybridization. Following sample preparation and in vitro DNA amplification by the polymerase chain reaction (PCR), an allele-specific detection of the amplified products by a nonradioactive enzymatic assay is performed. Genomic DNA is prepared from an individual's whole blood with a DNA purification matrix. In a second step, the beta-globin gene is amplified in a multiplex PCR reaction containing four 5' biotinylated oligonucleotide primers. In a final step, an aliquot of the PCR reaction is first chemically denatured and then captured in two eight-well strips of a 96-well enzyme-linked immunosorbent assay (ELISA) plate by hybridization to an immobilized ASO probe. Each DNA sequence at each of the eight mutation sites is represented by one normal and one mutant ASO. During this capture/hybridization step, which is performed at 37 degrees C, only perfectly matched PCR products will be captured by an ASO. Subsequently, the allele-specific captured biotin-labeled PCR products are detected by a colorimetric enzymatic reaction. The system permits the detection of 16 beta-thalassemia alleles using a high-throughput format that can be automated easily. A clinical feasibility study was performed to evaluate the functionality (method comparison study, assay validity using samples previously collected and stored at various temperatures for different periods of time, interference on kit performance, and assay validity for prenatal diagnosis) and the usability (ease of use, sample throughput) of the kit. The analysis of 110 samples previously studied with reference methods showed 100% clinical sensitivity and specificity. We demonstrate here that the procedure not only increases the throughput of beta-thalassemia allele genotyping but also provides an accurate, rapid, reliable, and nonisotopic diagnostic tool.

Alleles↗

Genomic mismatch scanning identifies human genomic DNA shared identical by descent.

Genomic mismatch scanning (GMS) is a high-throughput, high-resolution identity by descent mapping technique that enriches for genomic DNA fragments that are shared between related individuals. In GMS, DNA heteroduplexes are formed from restriction-digested genomic DNA fragments from two relatives. Mismatch-free DNA heteroduplexes, likely representing DNA shared identical by descent between the two individuals, are relatively purified by depleting the mismatch-containing heteroduplexes using the Escherichia coli mismatch repair proteins and exonuclease. Here, we demonstrate using quantitative microsatellite genotyping that, despite the complexity of the human genome, GMS can enrich the majority of restriction fragments that are identical by descent between two related humans. As the entire genome is selected in GMS, an extraordinarily dense set of markers (up to 200,000 markers) may be screened in parallel. The demonstration of the molecular enrichment of identical DNA fragments in the context of the whole human genome establishes conditions for the application of GMS to human genetics. This forms a frame-work for the further development of GMS as a hybridization-based mapping technique that utilizes DNA microarray technology to map the selected identical by descent DNA fragments.

DNA↗

Flow cytometry-based minisequencing: a new platform for high-throughput single-nucleotide polymorphism scoring.

Single-nucleotide polymorphisms (SNPs) are the most abundant type of human genetic variation. These variable sites are present at high density in the genome, making them powerful tools for mapping and diagnosing disease-related alleles. We have developed a sensitive and rapid flow cytometry-based assay for the multiplexed analysis of SNPs based on polymerase-mediated primer extension, or minisequencing, using microspheres as solid supports. The new method involves subnanomolar concentrations of sample in small volumes ( approximately 10 microl) which can be analyzed at rates of one sample per minute or faster, without a wash step. Further, genomic analysis using multiplexing microsphere arrays (GAMMArrays), enables the simultaneous analysis of dozens, and potentially hundreds of SNPs per sample. We have tested the new method by genotyping the Glu69 variant from the HLA DPB1 locus, a SNP associated with chronic beryllium disease, as well as HLA DPA1 alleles using the multiplexed method. The results demonstrate the sensitivity and accuracy of flow cytometry-based minisequencing, a powerful new tool for genome- and global-scale SNP analysis.

Base Sequence↗

Molecular screening of potential HNPCC patients using a multiplex microsatellite PCR system.

Microsatellite instability (MSI) is a molecular hallmark of the H ereditary N on- P olyposis C olorectal C ancer (HNPCC) syndrome occurring in about 80-90% of the tumours and also in sporadic tumours of different organs, albeit at lower frequency. Highly unstable colorectal tumours (MSI-H) have different histopathological features and tend to have a better prognosis compared to neoplasms without (MSS) or with low levels of microsatellite instability (MSI-L). Since MSI classification allows the identification of potential HNPCC patients and might represent a valuable diagnostic parameter an increasing demand for high-throughput microsatellite analysis will arise. Therefore, we have adapted five diagnostic microsatellites, m(odified) ACTC, mBAT26, mD5S107, mD5S406 and mD13S153, to allow coamplification. Using this multiplex polymerase chain reaction (PCR) system 29 colorectal tumour tissues with known MSI status could be unambiguously identified as MSI-H (13 cases) or MSI-L/MSS (16 cases). Highly unstable colorectal tumour detection frequency of individual markers reached 77% (mD5S406), 85% (mACTC), 85% (mD5S107), 92% (D13S153) and 100% (mBAT26) showing similar sensitivity but improved specificity as compared with a microsatellite reference panel. In a prospective analysis of 31 colorectal tumours, the multiplex PCR system identified five MSI-H cases. Multiplex MSI PCR is a time saving and cost-effective method not restricted to specific technical equipment and applicable to a variety of microsatellite-based genotyping approaches.

Colorectal Neoplasms↗

Automated mass spectrometry: a revolutionary technology for clinical diagnostics.

For various diagnostic analyses and the studies of functional genomics, the use of an accurate and cost-effective analytic platform to analyze large numbers of samples is essential. An automated platform called MassArray (Sequenom, Inc, San Diego, CA), designed for high-throughput diagnostic analyses, has recently been validated. The platform combines miniaturized, two-dimensional chip arrays with proven high-fidelity enzymatic procedures and matrix-assisted laser-desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. Nanoliter dispensing of samples in high-density formats of 384 or greater results in improved throughput and reduced costs. Automation prevails from the initial assay design through sample processing and data analysis, for the most part eliminating the labor component of assay development and implementation. The MassArray platform is being used in the following areas: (1) molecular diagnosis of genetic disease and infectious agents, (2) pharmacogenomics, (3) paternity and/or identity testing, and (4) agriculture (e.g., marker-assisted breeding). MALDI-TOF mass spectrometry can also be used for analyzing proteins; therefore, genotype/phenotype testing can be performed on a single platform.

Adolescent↗

Clinical utility of comprehensive genomic profiling test for colorectal cancer: a single institution prospective observational study.

PURPOSE: Next-generation sequencing (NGS) has revolutionized cancer treatment by enabling comprehensive cancer genomic profiling (CGP) to guide genotype-directed therapies. While several prospective trials have demonstrated varying outcomes with CGP in patients with advanced solid tumors, its clinical utility in colorectal cancer (CRC) remains to be evaluated. METHODS: We conducted a prospective observational study of CGP in our hospital between September 2019 and March 2024. Overall survival (OS) of the patients who received CGP-based therapy and those did not was compared, and genomic variables associated with OS were evaluated. RESULTS: A total of 100 patients with CRC underwent CGP using four platforms. The median patient age was 67 years, and most had a good performance status. The most frequent genomic alterations were TP53 (82%), APC (82%), and KRAS (55%). Actionable mutations such as ERBB2 amplification and BRAF V600E were identified in some patients, and 9% received CGP-based therapy, including immune checkpoint inhibitors for tumor mutational burden-high or microsatellite instability-high tumors. Patients receiving CGP-based therapy had longer OS from expert panel discussion (16.0 vs. 10.8 months) compared to those who did not. Alterations in TP53, SMAD4, and NF1 were associated with worse OS. Interestingly, PTEN mutations were linked to improved survival. TP53 alterations were more common in left-sided CRC. CONCLUSION: Although some patients with CRC received CGP-guided therapy, a statistically significant survival benefit was not observed. However, TP53 and SMAD4 mutations were identified as negative prognostic markers, indicating their potential as targets for future drug development.

Humans↗

High-throughput SNP detection by using DNA pooling and denaturing high performance liquid chromatography (DHPLC).

One of the critical steps in the positional cloning of a complex disease gene involves association analysis between a phenotype and a set of densely spaced diallelic markers, typically single nucleotide repeats (SNPs), covering the region of interest. However, the effort and cost of detecting sufficient numbers of SNPs across relatively large physical distances represents a significant rate-limiting step. We have explored DNA pooling, in conjunction with denaturing high performance liquid chromatography (DHPLC), as a possible strategy for augmenting the efficiency, economy, and throughput of SNP detection. DHPLC is traditionally used to detect variants in polymerase chain reaction products containing both allelic forms of a polymorphism (e.g., heterozygotes or a 1:1 mix of both alleles) via heteroduplex separation and thereby requires separate analyses of multiple individual test samples. We have adapted this technology to identify variants in pooled DNA. To evaluate the utility and sensitivity of this approach, we constructed DNA pools comprised of 20 previously genotyped individuals with a frequency representation of 0%-50% for the variant allele. Mutation detection was performed by using temperature-modulated heteroduplex formation/DHPLC and dye-terminator sequencing. Using DHPLC, we could consistently detect SNPs at lower than 5% frequency, corresponding to the detection of one variant allele in a pool of 20 alleles. In contrast, fluorescent sequencing detected variants in the same pools only if the frequency of the less common allele was at least 10%. We conclude that DNA pooling of samples for DHPLC analysis is an effective way to increase throughput efficiency of SNP detection.

Alleles↗

Deep tissue sequencing improves genetic diagnostic yield in focal cortical dysplasia.

Focal cortical dysplasias (FCDs) are malformations of cortical development associated with drug-resistant focal epilepsy. We analyzed surgical tissue from 25 consecutive cases recruited from adult and pediatric epilepsy surgery programs. We performed high-depth sequencing of lesional tissue, validated somatic variants using droplet digital PCR or amplicon sequencing, and investigated genotype-phenotype correlations. A pathogenic or likely pathogenic variant was detected in 64% (n = 16/25) of cases. Of these, five cases with FCDIIa or FCDIIb had germline variants in NPRL3 (n = 3) or DEPDC5 (n = 2). Somatic variants were identified in 44% (n = 11/25) of cases. The genetic yield for FCDIIb was 77% of cases having a pathogenic mTOR pathway variant detected (n = 10/13), and for FCDIIa 66% (n = 6/9). High depth sequencing approaches allowed detection of somatic variants with very low (down to 0.4%) variant allele fractions (VAFs). No pathogenic variants were detected in 3 cases with FCDI. 62% (n = 15/24) of the cases with ≥12 months follow up experienced a favourable seizure outcome (Engel 1-2) following surgery. Of note, n = 9 patients required repeat surgery to resect residual dysplasia. Determining a genetic diagnosis reveals aetiology and paves the way to precision therapies that may benefit those with FCD who do not respond to current treatments.

Humans↗

Smarter stomata: emergent technologies unlocking yield potential in a changing climate.

Stomata, the gatekeepers of leaf gas exchange, regulate carbon dioxide uptake and water loss, functions increasingly critical as crops face more frequent, intense heat and drought. Under dry conditions, stomatal conductance (g s) typically decreases, limiting carbon assimilation and yield. Heat stress, in contrast, elicits variable g S responses: sometimes increasing to facilitate transpirational cooling, while at other times decreasing, especially when combined with drought. Heat and drought also induce complex, context-dependent shifts in stomatal anatomy. Smaller, denser stomata improve drought resilience in some cases, while reduced density confers greater tolerance in others. The optimal stomatal ideotype remains unknown, and different or even opposing traits may confer resilience dependent on the environmental scenario. Substantial genotypic variation in g s and stomatal anatomy, high heritability and co-localized quantitative trait loci for stomatal traits and yield highlight their untapped potential as breeding targets for climate-resilient crops. However, stomatal traits remain largely absent from breeding pipelines due to challenges of phenotyping at scale. This is changing rapidly. Advances in deep learning, porometry, digital microscopy, and remote sensing now enable high-throughput measurement of stomatal physiology and anatomy. Next-generation breeding technologies including clustered regularly interspaced short palindromic repeats (CRISPR), multi-omics approaches, and artificial intelligence-driven ideotype selection models could revolutionize breeding, allowing precise engineering of stomatal traits for resilience to environmental stress. The time has come to move beyond characterizing stomatal traits and start actively incorporating them into breeding strategies. By leveraging these technologies, stomatal traits can become high value targets, unlocking their potential to enhance crop performance in a hotter, drier future.

abiotic stress↗

Columba: fast approximate pattern matching with optimized search schemes.

MOTIVATION: Aligning sequencing reads to reference genomes is a fundamental task in bioinformatics. Aligners can be classified as lossy or lossless: lossy aligners prioritize speed by reporting only one or a few high-scoring alignments, whereas lossless aligners output all optimal alignments, ensuring completeness and sensitivity. RESULTS: This paper introduces Columba, a high-performance lossless aligner tailored for Illumina sequencing data. Columba processes single or paired-end reads in FASTQ format and outputs alignments in SAM format. By utilizing advanced search schemes and bit-parallel alignment techniques, Columba achieves exceptional speed. Columba is available in two variants. The first, based on the bidirectional FM-index, prioritizes speed. The second, Columba RLC, uses run-length compression using a bidirectional move structure, significantly reducing memory usage for large, repetitive datasets like pan-genomes. Benchmarks on the human genome, as well as bacterial and human pan-genome datasets, demonstrate that Columba is much faster than existing lossless aligners and even competitive with lossy tools. We integrated Columba into the OptiType HLA genotyping pipeline, where it substantially reduced computational time while maintaining accuracy. These results position Columba as a versatile, state-of-the-art tool for high-sensitivity genomic analyses. AVAILABILITY AND IMPLEMENTATION: The source code of Columba is available at https://github.com/biointec/columba under AGPL license. Scripts to reproduce the benchmarks and analyses are available at https://doi.org/10.5281/zenodo.15849246.

Software↗

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↗

Suggestions for the nomenclature of human alleles: relevance to ecogenetics, pharmacogenetics and molecular epidemiology.

The current number of 9422 symbols for human gene names (http://www.gene.ucl.ac.uk/nomenclature/) is expected to increase 7- to 15-fold over the next 2 years. In and around each gene, a tremendous degree of single-nucleotide polymorphism (SNP) heterogeneity is now realized to exist. This review is intended to be visionary, to point out some of the enormously complex nomenclature issues that we face, and to offer some reasonable solutions to these issues. For example, I believe that a 'gene' should be defined as that region from the furthest 5'-ward enhancer to at least 150 bases downstream of the last exon. Just as established rules are critically important for the systematic naming of all new genes, standardized nomenclature rules for the naming of allelic variants are also desperately needed. The evolving consensus for naming the alleles of all human genes (ideally based on evolutionarily diverging haplotype patterns) is described herein. Because of the anticipated explosion in finding new genes and allelic variants due to high-throughput resequencing and DNA-chip technologies, this excess of new knowledge will undoubtedly overwhelm their publication by scientific journals alone. I suggest that the best approach to this staggering 'information overload' is to place the data on appropriate web sites--with numerous links between sites, and frequent updates of all information--so that colleagues in all fields of medical and genetic research can remain knowledgeable. Examples of successful web sites to date include those for the cytochrome P450 (CYP) genes and human CYP alleles, UDP glycosyltransferase (UGT) genes and human alleles, human N-acetylaminotransferase (NAT2, NAT1) alleles, and aldehyde dehydrogenase (ALDH) genes and human alleles. Many more web sites will be necessary. For each site, the webmaster will need to be responsible, accurate, energetic, highly organized, and keen to keep the site current. I believe that interactive discussions on these sites should be encouraged, and advisory committees must be willing to check frequently to ensure that all new information is accurate. Lastly, for the field of molecular epidemiology, the importance of correlating an informative genotype with an unequivocal phenotype is emphasized, and the emerging realization that racial and ethnic groups are highly admixed is summarized and updated.

Alleles↗

High-throughput SNP allele-frequency determination in pooled DNA samples by kinetic PCR.

We have developed an accurate, yet inexpensive and high-throughput, method for determining the allele frequency of biallelic polymorphisms in pools of DNA samples. The assay combines kinetic (real-time quantitative) PCR with allele-specific amplification and requires no post-PCR processing. The relative amounts of each allele in a sample are quantified. This is performed by dividing equal aliquots of the pooled DNA between two separate PCR reactions, each of which contains a primer pair specific to one or the other allelic SNP variant. For pools with equal amounts of the two alleles, the two amplifications should reach a detectable level of fluorescence at the same cycle number. For pools that contain unequal ratios of the two alleles, the difference in cycle number between the two amplification reactions can be used to calculate the relative allele amounts. We demonstrate the accuracy and reliability of the assay on samples with known predetermined SNP allele frequencies from 5% to 95%, including pools of both human and mouse DNAs using eight different SNPs altogether. The accuracy of measuring known allele frequencies is very high, with the strength of correlation between measured and known frequencies having an r(2) = 0.997. The loss of sensitivity as a result of measurement error is typically minimal, compared with that due to sampling error alone, for population samples up to 1000. We believe that by providing a means for SNP genotyping up to thousands of samples simultaneously, inexpensively, and reproducibly, this method is a powerful strategy for detecting meaningful polymorphic differences in candidate gene association studies and genome-wide linkage disequilibrium scans.

Animals↗

Comparison of culture- and non-culture-based methods for quantification of viral load and resistance to antiretroviral drugs in patients given zidovudine monotherapy.

Virological assays for human immunodeficiency virus type 1 load and drug resistance can broadly be divided into culture-based and molecular biology-based methods. Culture-based methods give a direct measure of infectious virus load and phenotypic drug resistance, whereas molecular biology-based methods are indirect, assaying nucleic acid levels to determine virus load and point mutations associated with drug resistance. We have compared culture-based and non-culture-based methods for patients enrolled in a placebo-controlled trial of zidovudine (the Concorde Trial). Virus loads were assayed by culture of peripheral blood mononuclear cells (PBMCs) or quantitative PCR, and drug resistance was assayed in culture or in a quantitative, PCR-based point mutation assay. The rates of detection of viremia and drug resistance were higher by PCR than by culture for this population of subjects. Comparison of the virus loads by the two measures showed a good correlation for virus loads in PBMCs but a poor correlation for virus loads in plasma. The latter result probably reflected the inaccuracies of culture in assaying plasma with the low infectious virus titers seen in the study population. The concordance of phenotypic and genotypic drug resistance methods was high, with all phenotypically resistant isolates having at least one resistance-associated mutation and with no mutations being found in a drug-sensitive isolate. Genomic resistance scores (weighted sums of levels of resistance mutations) showed good correlations with the levels of phenotypic resistance, and both resistance measures were observed to increase as the duration of exposure to drug increased. Overall, non-culture-based methods were shown to correlate well with culture-based methods and offer a low-cost, high-throughput alternative. However, culture-based methods remain the final arbiters of infectious virus load and phenotypic drug resistance and are unlikely to be superseded entirely.

Acquired Immunodeficiency Syndrome↗

A universal, high-quality, and high-yield DNA purification method for mycobacteria, including Mycobacterium tuberculosis: large-scale assessment of the chloroform-bead method.

UNLABELLED: Genomic analysis of mycobacteria has become increasingly crucial for understanding drug-resistance mechanisms, molecular epidemiology, and pathogenesis. However, efficient extraction of high-molecular-weight genomic DNA from these organisms remains challenging because of their thick mycolic acid-rich cell walls. In this study, we report the chloroform-bead method, a universal DNA extraction protocol that combines chemical and mechanical disruptions to overcome these challenges. Multi-laboratory evaluation (16 sites) demonstrated the chloroform-bead method's superiority over conventional methods for Mycobacterium tuberculosis (DNA yield: 17.9 vs 1.9 &#xb5;g, purity A260/A230: 1.86 vs 1.22, both P < 0.001). Single-facility assessment extended these findings to >32 nontuberculous mycobacterial species (n = 1,058), showing performance comparable to M. tuberculosis (n = 1,000), with both achieving median yields of 22.2 &#xb5;g DNA and consistent quality metrics. The chloroform-bead method significantly reduced the processing time from 2 to 3 days to 2 h while ensuring complete sample sterilization, eliminating the need for species-specific optimization. This streamlined and universally applicable protocol represents a practical advancement in mycobacterial DNA extraction methodology, ideal for high-throughput genomic studies and routine clinical diagnostics. IMPORTANCE: Mycobacterial genomics is crucial for understanding pathogenesis and drug resistance; however, DNA extraction remains a significant challenge because of its unique cell wall. Traditional methods rely on enzymatic treatments, resulting in complex and time-consuming protocols with variable results. The chloroform-bead method introduces a paradigm shift by chemically and mechanically disrupting the mycolic acid layer and eliminating the need for enzymatic treatment. This standardized approach ensures consistent, high-quality DNA extraction across diverse mycobacterial species, thereby enhancing research capabilities and clinical applications.

Chloroform↗

Prospective clinical validation of targeted long-read sequencing for preimplantation genetic testing of &#x3b1;-thalassaemia.

BACKGROUND: Preimplantation genetic testing for monogenic disorders (PGT-M) can prevent transmission of severe &#x3b1;-thalassaemia, but conventional workflows remain limited by family-specific assay design for direct variant detection, dependence on additional family samples for haplotype construction, and labour-intensive multi-step procedures across several platforms. Targeted long-read sequencing-based PGT-M for &#x3b1;-thalassaemia (tlrPGT-&#x3b1;-thal) integrates direct variant detection and haplotype linkage analysis within a single assay, but prospective clinical validation is lacking. METHODS: This prospective clinical study enrolled 103 families at high risk of transmitting &#x3b1;-thalassaemia at a reproductive medicine centre between August 2024 and March 2025. All families underwent blinded parallel analysis using both conventional NGS-based PGT-M (comparator) and tlrPGT-&#x3b1;-thal. RESULTS: In the primary concordance analysis, tlrPGT-&#x3b1;-thal was fully concordant with conventional NGS-based PGT-M (507/507, 100.0%; exact 95% CI, 99.3-100.0). Direct variant detection was successful in 501/507 embryos (98.82%; 95% CI, 97.4-99.6), haplotype linkage was established in 505/507 embryos (99.61%; 95% CI, 98.6-100.0), and one meiotic recombination event was identified. Among 93 families proceeding to embryo transfer, 57 pregnancies underwent invasive prenatal diagnosis, and all were concordant with the corresponding tlrPGT-&#x3b1;-thal results. Of the 26 comparator-inconclusive embryos, tlrPGT-&#x3b1;-thal resolved 6 complex cases, including cases with incomplete pedigrees or insufficient informative SNPs. Among the remaining 20 embryos with HBA-region aneuploidies, genotype and parental origin could be determined in 12. CONCLUSIONS: The findings show that tlrPGT-&#x3b1;-thal enables direct detection of diverse &#x3b1;-thalassaemia-causing variants together with efficient haplotype linkage analysis within a single workflow, without requiring family-specific assay design or additional family samples. The method demonstrated high diagnostic accuracy while providing added value in complex scenarios. Taken together, tlrPGT-&#x3b1;-thal represents a simplified and broadly applicable strategy for &#x3b1;-thalassaemia PGT-M.

Humans↗

Comparative dynamics of Japanese encephalitis virus adaptation in porcine macrophages and insect cells.

BACKGROUND: Japanese encephalitis virus (JEV) is a zoonotic mosquito-borne Orthoflavivirus that circulates primarily in birds and pigs. Previous observations of vector-free transmission between pigs indicates the possibility of single-host cycling in swine. Therefore, the aim of this work was to investigate the evolutionary pressure of single host cycling using a relevant primary cell culture model. METHODS: To investigate whether such single-host cycles affect viral infectivity, fitness and genomic adaptations, two strains and a reverse genetic cDNA-derived clone of JEV were serially passaged 12 times in primary porcine monocyte-derived macrophages (MDMs), in Aedes albopictus-derived C6/36 cells, and alternately between both cell types. Next-generation sequencing analysis was used to identify selected single nucleotide variants (SNVs) and haplotypes. Phenotype-to-genotype connections were confirmed using reverse genetics. RESULTS: For all viruses, serial passaging in MDMs - but not in C6/36 cells - led to a rapid increase in relative infectivity toward MDMs, accompanied by reduced plaque sizes in porcine endothelial cells. In contrast to C6/36 cells, MDM imposed a strong selective pressure, rapidly favoring selection of many SNVs and viral haplotypes. In addition, we identified a dominant selection of mutants with glutamic acid to lysine substitutions at positions 49 or 138 in the E protein, which explained the small plaque phenotype and caused viral sensitivity to heparin-mediated inhibition of attachment, indicating enhanced virus binding to glycosaminoglycans (GAG). The E138K mutant also explained the increased relative infectivity for MDM. CONCLUSION: This work demonstrates a high evolutionary pressure on JEV in MDM causing rapid selections of minor haplotypes. Furthermore, the efficient selection of E49K and E138K SNV, which were responsible for the phenotype, are likely caused by a selective pressure for GAG binding, observed in vitro with other mammalian cells.

Animals↗