Raw data for deciphering the landscape of human pathogenome in non-typhoidal Salmonella through multidimensional genomics

Background & PurposeNon-typhoidal Salmonella (NTS) is a leading foodborne pathogen responsible for severe gastrointestinal and systemic infections worldwide. This study employed a genomic approach to investigate the functional and distribution characteristics of the human pathogenome in NTS. The goal is to provide molecular targets and a theoretical foundation for developing novel anti-salmonellosis strategies. Data generation & processingEight NTS isolates were sequenced using Illumina NovaSeq (short reads) and Oxford Nanopore (long reads) platforms. Hybrid assembly was performed to obtain high-quality complete genomes. In silico annotation was carried out using public bioinformatics resources. Virulence genes, pathogenicity-related genes, carbohydrate-active enzymes (CAZymes), proteases, and CRISPR-Cas systems were identified and functionally classified. Data coverage Number of strains: 8 Key findings: 2,000 virulence genes encoding 263 factors; 7,868 human pathogenicity-related genes; conserved T3SS1 (SPI-1), T3SS2 (SPI-2), and sopB/sigD/pipB (SPI-5); conserved metal-chelating NRPS metallophore gene cluster; functional Type I-E CRISPR-Cas systems in most strains. Associated publication: Deciphering the landscape of human pathogenome in non-typhoidal Salmonella through multidimensional genomics File structure An Excel table containing the raw data for Figures 1–6, along with next-generation sequencing data, third-generation sequencing data, and protein sequences of non-typhoidal Salmonella Usage & citationIf you use this dataset, please cite:[Author name:Haibing Liu]. 10.5281/zenodo.20097031 Additionally, please cite the associated research article when available:[Deciphering the landscape of human pathogenome in non-typhoidal Salmonella through multidimensional genomics ]