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Losh, S. J.

Publications and source records attributed to Losh, S. J..

3 recordsLinked to original sources

Population genetic structure of disease-causing vancomycin-resistant Enterococcus faecium in a hospital closely reflects the dynamics of colonizing populations in patients

Vancomycin-resistant Enterococcus faecium (VREfm) is a common nosocomial pathogen that can lead to severe and difficult-to-treat infections. VREfm effectively exploits healthcare environments because transmission chains are difficult to prevent and eradicate. VREfm also readily acquires antimicrobial resistance (AMR), strongly reducing the likelihood of treatment success. Here we compare the genetic population structure and antimicrobial resistance load of VREfm strains that are typically associated with patient colonization, and those found to cause disease. We use two separate but contemporaneous collections of clinical bacterial isolates in a tertiary care medical center: one consisting of Enterococcus from blood samples, and a second originating from a hospital wide surveillance strategy screening for VREfm in perirectal swabs of incoming patients. Using whole-genome sequencing and analysis of 2061 VREfm clones, we found that the genetic structure of colonizing and disease-causing VREfm closely resemble each other, and that sequence type 117 (ST117) played an important role in shaping these populations. The population structures of strains acquired at the hospital and those present on arrival are also remarkably similar. We further observed a high likelihood that the colonizing clone genetically resembles the disease-causing strain in patients who are both colonized and infected. Finally, the AMR gene load and distribution did not vary significantly between the blood isolates and the gut-associated strains. Altogether, our results highlight the similarities between colonizing and infectious VREfm populations and further emphasize the need to focus infection prevention strategies to minimize gut colonization. Author SummaryVancomycin-resistant Enterococcus faecium (VREfm) often lives harmlessly in the human gut but can cause life-threatening infections when it enters the bloodstream. Hospitals struggle with is pathogen because it spreads easily and tends to resist many antibiotics. We compared bacteria collected from patients guts and from their blood to ask whether the strains that cause infection are different from those that only colonize. Studying more than 2,000 bacterial genomes, we found that the two groups look remarkably similar: the same genetic types dominate in both, patients are usually infected by the same strain already living in their gut, an both groups also carried similar sets of resistance genes. Overall, this is important because it suggests that preventing colonization--not just treating infection--may therefore be the most effective way to reduce VREfm disease in hospitals.

microbiology↗

Multi-platform framework for mapping somatic retrotransposition in human tissues

Mobile element insertions (MEI) shape the human genome in both germline and somatic tissues. While inherited MEIs are well characterized, mapping somatic MEIs (sMEI) in non-cancer tissues remains challenging due to their low allelic fraction and repetitive nature. We established an integrative framework for sMEI analysis leveraging modern sequencing technologies and analytical innovations. We first benchmarked sMEI detection and demonstrated advantages of long-read and MEI-targeted sequencing for ultra-low-frequency events using a mixture of well-established cell lines. We then showed that haplotype phasing and donor-specific assemblies refine sMEI detection, effectively distinguishing from germline and false signals in in-silico tumor-normal mixtures. We further developed a source-tracing strategy based on internal sequence variation, expanding the catalogue of active source elements beyond traditional transduction-based methods. Applying this framework to donor tissues, we identified 18 rare somatic L1 insertions, revealing structural and source diversity. Our work provides a foundational framework and biological insight into sMEIs.

genomics↗

A personalized multi-platform assessment of somatic mosaicism in the human frontal cortex

Somatic mutations in individual cells create genomic mosaicism, influencing genetic disorders and cancers. While clonal mutations in cancers are well-studied, rarer somatic variants in normal tissues remain poorly characterized. This study systematically evaluates detection methods using a personalized donor-specific assembly (DSA) from a neurotypical individuals dorsolateral prefrontal cortex assessed with Oxford Nanopore, NovaSeq, linked-read sequencing, Cas9-targeted long-read sequencing (TEnCATS), and single-neuron MALBAC amplification. The haplotype-resolved DSA improved cross-platform analysis, dramatically increasing phasing rates. Germline SNVs, structural variations (SVs), and transposable elements (TEs) were recalled with 99.4%-99.7% accuracy in bulk tissue, and phased haplotype analysis reduced false positives by 15.4%-75.1% for putative somatic candidates. Long-read single-neuron sequencing detected nine somatic SV candidates, demonstrating enhanced sensitivity for rare variants, while TEnCATS identified eight low-frequency somatic TE candidates. These findings highlight advanced methodologies for precise somatic variant detection, critical for understanding mosaicisms role in health and disease.

genomics↗