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The vast array of omics data in microbiology presents significant opportunities for studying bacterial pathogenesis and creating computational tools for predicting pathogenic potential. However, the field lacks a comprehensive, curated resource that catalogs bacterial strains and their ability to cause human infections. Current methods for identifying pathogenicity determinants often introduce biases and miss critical aspects of bacterial pathogenesis. In response to this gap, we introduce BacSPaD (Bacterial Strains' Pathogenicity Database), a thoroughly curated database focusing on pathogenicity annotations for a wide range of high-quality, complete bacterial genomes. Our rule-based annotation workflow combines metadata from trusted sources with automated keyword matching, extensive manual curation, and detailed literature review. Our analysis classified 5502 genomes as pathogenic to humans (HP) and 490 as non-pathogenic to humans (NHP), encompassing 532 species, 193 genera, and 96 families. Statistical analysis demonstrated a significant but moderate correlation between virulence factors and HP classification, highlighting the complexity of bacterial pathogenicity and the need for ongoing research. This resource is poised to enhance our understanding of bacterial pathogenicity mechanisms and aid in the development of predictive models. To improve accessibility and provide key visualization statistics, we developed a user-friendly web interface. [ABSTRACT FROM AUTHOR]

The vast array of omics data in microbiology presents significant opportunities for studying bacterial pathogenesis and creating computational tools for predicting pathogenic potential. However, the field lacks a comprehensive, curated resource that catalogs bacterial strains and their ability to cause human infections. Current methods for identifying pathogenicity determinants often introduce biases and miss critical aspects of bacterial pathogenesis. In response to this gap, we introduce BacSPaD (Bacterial Strains’ Pathogenicity Database), a thoroughly curated database focusing on pathogenicity annotations for a wide range of high-quality, complete bacterial genomes. Our rule-based annotation workflow combines metadata from trusted sources with automated keyword matching, extensive manual curation, and detailed literature review. Our analysis classified 5502 genomes as pathogenic to humans (HP) and 490 as non-pathogenic to humans (NHP), encompassing 532 species, 193 genera, and 96 families. Statistical analysis demonstrated a significant but moderate correlation between virulence factors and HP classification, highlighting the complexity of bacterial pathogenicity and the need for ongoing research. This resource is poised to enhance our understanding of bacterial pathogenicity mechanisms and aid in the development of predictive models. To improve accessibility and provide key visualization statistics, we developed a user-friendly web interface.

A partnership between a community college biology professor and a local high school teacher was established to engage high school students in authentic microbiology research. High school students isolated actinomycetes from soil samples and tested them for their ability to produce antimicrobial chemicals. They also designed and carried out their own experiments with these isolates. Laboratory reports, written assignments, and quizzes were used to assess the scientific learning of the subject covered by the research project. The students' attitudes about science and scientific research were assessed using a standardized survey and written reflection questions. In completing this project, the students applied their knowledge of the scientific method and experimental design to address authentic research questions. They also learned several hands-on laboratory skills, including serial dilution, aseptic technique, isolation of pure cultures, Gram staining, microscopy, and antimicrobial testing. Student feedback was overwhelmingly positive -- many expressed an increased interest in pursuing a career in science, and most felt that the project helped them gain confidence in their ability to do science. This project illustrates the importance of establishing partnerships between secondary schools and academic institutions to successfully introduce research to younger students. [ABSTRACT FROM AUTHOR]