Beet Soil-Borne Virus Is a Helper Virus for the Novel Beta vulgaris Satellite Virus 1A.

Sugar beet (Beta vulgaris) is grown in temperate regions around the world as a source of sucrose used for natural sweetening. Sugar beet is susceptible to a number of viral diseases, but identification of the causal agent(s) under field conditions is often difficult due to mixtures of viruses that may be responsible for disease symptoms. In this study, the application of RNAseq to RNA extracted from diseased sugar beet roots obtained from the field and from greenhouse-reared plants grown in soil infested with the virus disease rhizomania (causal agent beet necrotic yellow vein virus; BNYVV) yielded genome-length sequences from BNYVV, as well as beet soil-borne virus (BSBV). The nucleotide identities of the derived consensus sequence of BSBV RNAs ranged from 99.4 to 96.7% (RNA1), 99.3 to 95.3% (RNA2), and 98.3 to 95.9% (RNA3) compared with published BSBV sequences. Based on the BSBV genome consensus sequence, clones of the genomic RNAs 1, 2, and 3 were obtained to produce RNA copies of the genome through in vitro transcription. Capped RNA produced from the clones was infectious when inoculated into leaves of Chenopodium quinoa and B. vulgaris, and extracts from transcript-infected C. quinoa leaves could infect sugar beet seedling roots through a vortex inoculation method. Subsequent exposure of these infected sugar beet seedling roots to aviruliferous Polymyxa betae, the protist vector of both BNYVV and BSBV, confirmed that BSBV derived from the infectious clones could be transmitted by the vector. Co-inoculation of BSBV synthetic transcripts with transcripts of a cloned putative satellite virus designated Beta vulgaris satellite virus 1A (BvSat1A) resulted in the production of lesions on leaves of C. quinoa similar to those produced by inoculation with BSBV alone. Nevertheless, accumulation of genomic RNA and the encoded protein of the satellite virus in co-inoculated leaves was readily detected on Northern and Western blots, respectively, whereas no accumulation of satellite virus products occurred when satellite virus RNA was inoculated alone. The predicted sequence of the detected protein encoded by BvSat1A bears hallmarks of coat proteins of other satellite viruses, and virions of a size consistent with a satellite virus were observed in samples testing positive for the virus. The results demonstrate that BSBV is a helper virus for the novel satellite virus BvSat1A.

Open Access and Reproducibility in Plant Pathology Research: Guidelines and Best Practices.

The landscape of scientific publishing is experiencing a transformative shift toward open access, a paradigm that mandates the availability of research outputs such as data, code, materials, and publications. Open access provides increased reproducibility and allows for reuse of these resources. This article provides guidance for best publishing practices of scientific research, data, and associated resources, including code, in The American Phytopathological Society journals. Key areas such as diagnostic assays, experimental design, data sharing, and code deposition are explored in detail. This guidance aligns with that observed by other leading journals. We hope the information assembled in this paper will raise awareness of best practices and enable greater appraisal of the true effects of biological phenomena in plant pathology.

Phylogenomics reveals extensive misidentification of fungal strains from the genus Aspergillus.

Modern taxonomic classification is often based on phylogenetic analyses of a few molecular markers, although single-gene studies are still common. Here, we leverage genome-scale molecular phylogenetics (phylogenomics) of species and populations to reconstruct evolutionary relationships in a dense data set of 710 fungal genomes from the biomedically and technologically important genus Aspergillus. To do so, we generated a novel set of 1,362 high-quality molecular markers specific for Aspergillus and provided profile Hidden Markov Models for each, facilitating their use by others. Examining the resulting phylogeny helped resolve ongoing taxonomic controversies, identified new ones, and revealed extensive strain misidentification (7.59% of strains were previously misidentified), underscoring the importance of population-level sampling in species classification. These findings were corroborated using the current standard, taxonomically informative loci. These findings suggest that phylogenomics of species and populations can facilitate accurate taxonomic classifications and reconstructions of the Tree of Life.IMPORTANCEIdentification of fungal species relies on the use of molecular markers. Advances in genomic technologies have made it possible to sequence the genome of any fungal strain, making it possible to use genomic data for the accurate assignment of strains to fungal species (and for the discovery of new ones). We examined the usefulness and current limitations of genomic data using a large data set of 710 publicly available genomes from multiple strains and species of the biomedically, agriculturally, and industrially important genus Aspergillus. Our evolutionary genomic analyses revealed that nearly 8% of publicly available Aspergillus genomes are misidentified. Our work highlights the usefulness of genomic data for fungal systematic biology and suggests that systematic genome sequencing of multiple strains, including reference strains (e.g., type strains), of fungal species will be required to reduce misidentification errors in public databases.

Type 1 diabetes prevention clinical trial simulator: Case reports of model-informed drug development tool.

Clinical trials seeking to delay or prevent the onset of type 1 diabetes (T1D) face a series of pragmatic challenges. Despite more than 100 years since the discovery of insulin, teplizumab remains the only FDA-approved therapy to delay progression from Stage 2 to Stage 3 T1D. To increase the efficiency of clinical trials seeking this goal, our project sought to inform T1D clinical trial designs by developing a disease progression model-based clinical trial simulation tool. Using individual-level data collected from the TrialNet Pathway to Prevention and The Environmental Determinants of Diabetes in the Young natural history studies, we previously developed a quantitative joint model to predict the time to T1D onset. We then applied trial-specific inclusion/exclusion criteria, sample sizes in treatment and placebo arms, trial duration, assessment interval, and dropout rate. We implemented a function for presumed drug effects. To increase the size of the population pool, we generated virtual populations using multivariate normal distribution and ctree machine learning algorithms. As an output, power was calculated, which summarizes the probability of success, showing a statistically significant difference in the time distribution until the T1D diagnosis between the two arms. Using this tool, power curves can also be generated through iterations. The web-based tool is publicly available: https://app.cop.ufl.edu/t1d/. Herein, we briefly describe the tool and provide instructions for simulating a planned clinical trial with two case studies. This tool will allow for improved clinical trial designs and accelerate efforts seeking to prevent or delay the onset of T1D.

Sepsis relacionada con cateterismo Centrovenoso percutáneo / Sepsis associated with central venous percutaneous catheterization

Se realizó un estudio de 210 pacientes ingresados en la Unidad de Cuidados Intensivos Pediátricos en un período de 2 años, a los cuales se les había efectuado cateterismo centrovenoso percutáneo y que desarrollaron sepsis relacionada con catéter y/o colonización. Del total, 24 de ellos desarrollaron sepsis, lo que representó el 9,5 porciento de los pacientes cateterizados. Las sepsis sistémicas predominaron en el estudio; todos los pacientes desarrollaron manifestaciones clínicas. La mayor permanencia del catéter se asoció con un incremento de la sepsis. Los gérmenes que predominaron fueron los gramnegativos. Se colonizó el catéter en el 20 porciento de los pacientes y se aislaron con mayor frecuencia bacterias grampositivas