Serotyping

Adeno-associated virus (AAV) mediated gene expression is a powerful tool for gene therapy and preclinical studies. A comprehensive analysis of CNS cell type tropism, expression levels and biodistribution of different capsid serotypes has not yet been undertaken in neonatal rodents. Our previous studies show that intracerebroventricular injection with AAV2/1 on neonatal day P0 results in widespread CNS expression but the biodistribution is limited if injected beyond neonatal day P1. To extend these observations we explored the effect of timing of injection on tropism and biodistribution of six commonly used pseudotyped AAVs delivered in the cerebral ventricles of neonatal mice. We demonstrate that AAV2/8 and 2/9 resulted in the most widespread biodistribution in the brain. Most serotypes showed varying biodistribution depending on the day of injection. Injection on neonatal day P0 resulted in mostly neuronal transduction, whereas administration in later periods of development (24-84 hours postnatal) resulted in more non-neuronal transduction. AAV2/5 showed widespread transduction of astrocytes irrespective of the time of injection. None of the serotypes tested showed any microglial transduction. This study demonstrates that both capsid serotype and timing of injection influence the regional and cell-type distribution of AAV in neonatal rodents, and emphasizes the utility of pseudotyped AAV vectors for translational gene therapy paradigms.

Laboratory surveillance systems for salmonellosis should ideally be based on the rapid serotyping and subtyping of isolates. However, current typing methods are limited in both speed and precision. Using 783 strains and isolates belonging to 130 serotypes, we show here that a new family of DNA repeats named CRISPR (clustered regularly interspaced short palindromic repeats) is highly polymorphic in Salmonella. We found that CRISPR polymorphism was strongly correlated with both serotype and multilocus sequence type. Furthermore, spacer microevolution discriminated between subtypes within prevalent serotypes, making it possible to carry out typing and subtyping in a single step. We developed a high-throughput subtyping assay for the most prevalent serotype, Typhimurium. An open web-accessible database was set up, providing a serotype/spacer dictionary and an international tool for strain tracking based on this innovative, powerful typing and subtyping tool.

Streptococcus pneumoniae is responsible for 240 000-460 000 deaths in children under 5 years of age each year. Accurate identification of pneumococcal serotypes is important for tracking the distribution and evolution of serotypes following the introduction of effective vaccines. Recent efforts have been made to infer serotypes directly from genomic data but current software approaches are limited and do not scale well. Here, we introduce a novel method, SeroBA, which uses a k-mer approach. We compare SeroBA against real and simulated data and present results on the concordance and computational performance against a validation dataset, the robustness and scalability when analysing a large dataset, and the impact of varying the depth of coverage on sequence-based serotyping. SeroBA can predict serotypes, by identifying the cps locus, directly from raw whole genome sequencing read data with 98 % concordance using a k-mer-based method, can process 10 000 samples in just over 1 day using a standard server and can call serotypes at a coverage as low as 15-21×. SeroBA is implemented in Python3 and is freely available under an open source GPLv3 licence from: https://github.com/sanger-pathogens/seroba.

Streptococcus pneumoniae (pneumococcus) is a leading cause of community-acquired pneumonia and invasive diseases, particularly among children and the elderly. The introduction of pneumococcal conjugate vaccines has significantly reduced invasive pneumococcal disease, but the prevalence of non-vaccine serotypes and newly emerging serotypes is increasing globally. Thus, accurate serotyping is essential for epidemiological surveillance and the development of next-generation multivalent pneumococcal vaccines. Conventional serotyping methods, including multiplex polymerase chain reaction (mPCR), monoclonal antibody (mAb) assays, and Quellung reaction using rabbit antisera, are limited by serotype coverage and cross-reactivity, making the detection of new or emerging serotypes challenging. In this study, we developed a nanopore Cas9-targeted serotyping (nCATSerotyping) platform, which employs Cas9-mediated enrichment of the capsular polysaccharide synthesis locus followed by Oxford Nanopore sequencing. Applying this method to 276 clinical pneumococcal isolates collected in South Korea (2018-2020), we achieved a serotyping success rate of 97.10% (268/276), significantly outperforming conventional methods such as mAb and mPCR, which identified only 76.45% (211/276) of isolates. Whole-genome sequencing of the remaining eight non-typeable isolates revealed them to be non-pneumococcal (oral streptococci), confirming 100% accuracy for S. pneumoniae serotyping. Importantly, our method identified emerging and underrepresented serotypes, including serotype 13 and null capsule clade strains. nCATSerotyping offers a rapid, accurate, and comprehensive solution for pneumococcal serotyping, with significant advantages in identifying novel and non-typeable strains. This scalable platform will be a valuable tool for global serotype surveillance and next-generation multivalent pneumococcal vaccine development.IMPORTANCEAccurate pneumococcal serotyping is critical for vaccine development and epidemiological surveillance, particularly as non-vaccine serotypes emerge following widespread pneumococcal conjugate vaccine implementation. Current serotyping methods face significant limitations in coverage and accuracy, identifying around 76% of pneumococcal isolates and failing to detect emerging serotypes like serotype 13 and null capsule clades. The nanopore Cas9-targeted serotyping platform addresses these critical gaps by achieving 100% serotyping accuracy for confirmed Streptococcus pneumoniae isolates while identifying previously undetectable strains that conventional methods missed. This comprehensive approach is essential for monitoring vaccine effectiveness, understanding serotype replacement patterns, and informing next-generation vaccine development strategies. Furthermore, the identification of misclassified oral streptococci highlights the diagnostic precision needed for accurate pneumococcal surveillance, ensuring that epidemiological data accurately reflect true pneumococcal disease burden and serotype distribution patterns.