Stochastic model of vesicular stomatitis virus replication reveals mutational effects on virion production.

We present the first complete stochastic model of vesicular stomatitis virus (VSV) intracellular replication. Previous models developed to capture VSV's intracellular replication have either been ODE-based or have not represented the complete replicative cycle, limiting our ability to understand the impact of the stochastic nature of early cellular infections on virion production between cells and how these dynamics change in response to mutations. Our model accurately predicts changes in mean virion production in gene-shuffled VSV variants and can capture the distribution of the number of viruses produced. This model has allowed us to enhance our understanding of intercellular variability in virion production, which appears to be influenced by the duration of the early phase of infection, and variation between variants, arising from balancing the time the genome spends in the active state, the speed of incorporating new genomes into virions, and the production of viral components. Being a stochastic model, we can also assess other effects of mutations beyond just the mean number of virions produced, including the probability of aborted infections and the standard deviation of the number of virions produced. Our model provides a biologically interpretable framework for studying the stochastic nature of VSV replication, shedding light on the mechanisms underlying variation in virion production. In the future, this model could enable the design of more complex viral phenotypes when attenuating VSV, moving beyond solely considering the mean number of virions produced.

Ten simple rules for managing laboratory information.

Information is the cornerstone of research, from experimental (meta)data and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems to transform this large information load into useful scientific findings.

The Opioid Epidemic: A Review of the Contributing Factors, Negative Consequences, and Best Practices.

The opioid epidemic is a significant public health crisis that has caused extensive harm and devastation in the United States. This literature review aimed to identify the contributing factors and negative consequences of the epidemic, as well as best practices for healthcare providers in managing the epidemic. Overprescribing opiates and opioids, lack of education and opportunity, and being unmarried or divorced were some of the identified contributing factors to dependence on opioids. The epidemic's negative consequences are substantial, leading to increased access to opioids for vulnerable populations, which consequently cause accidental death among men and the degradation of rural community health services. As part of the literature review, we also analyzed the best practices for healthcare providers, including implementing prescription drug monitoring programs (PDMPs). However, we found that while PDMPs resulted in a decrease in opioid overprescription and an increase in provider confidence when prescribing medication, the evidence for their effectiveness in improving rural community health services or reducing opioid overdoses and opioid-related deaths was inconclusive. Our review highlights that the greatest challenge to overcome is a lack of legal mandates and proper education for healthcare providers on best practices for addressing the epidemic. To regulate and control opioids effectively, tracking and standardizing prescription models by federal agencies and medical institutions is necessary but not enough. Legal action is vital for the successful containment of the opioid crisis.

MSH1 is required for maintenance of the low mutation rates in plant mitochondrial and plastid genomes.

Mitochondrial and plastid genomes in land plants exhibit some of the slowest rates of sequence evolution observed in any eukaryotic genome, suggesting an exceptional ability to prevent or correct mutations. However, the mechanisms responsible for this extreme fidelity remain unclear. We tested seven candidate genes involved in cytoplasmic DNA replication, recombination, and repair (POLIA, POLIB, MSH1, RECA3, UNG, FPG, and OGG1) for effects on mutation rates in the model angiosperm Arabidopsis thaliana by applying a highly accurate DNA sequencing technique (duplex sequencing) that can detect newly arisen mitochondrial and plastid mutations even at low heteroplasmic frequencies. We find that disrupting MSH1 (but not the other candidate genes) leads to massive increases in the frequency of point mutations and small indels and changes to the mutation spectrum in mitochondrial and plastid DNA. We also used droplet digital PCR to show transmission of de novo heteroplasmies across generations in msh1 mutants, confirming a contribution to heritable mutation rates. This dual-targeted gene is part of an enigmatic lineage within the mutS mismatch repair family that we find is also present outside of green plants in multiple eukaryotic groups (stramenopiles, alveolates, haptophytes, and cryptomonads), as well as certain bacteria and viruses. MSH1 has previously been shown to limit ectopic recombination in plant cytoplasmic genomes. Our results point to a broader role in recognition and correction of errors in plant mitochondrial and plastid DNA sequence, leading to greatly suppressed mutation rates perhaps via initiation of double-stranded breaks and repair pathways based on faithful homologous recombination.