ABSTRACT
Veterinary diagnostic laboratories annually derive thousands of nucleotide sequences from clinical samples of swine pathogens such as porcine reproductive and respiratory syndrome virus (PRRSV), Senecavirus A, and swine enteric coronaviruses. In addition, next generation sequencing has resulted in the rapid production of full-length genomes. Presently, sequence data are released to diagnostic clients for the purposes of informing control measures, but are not publicly available as data may be associated with sensitive information. However, public sequence data can be used to objectively design field-relevant vaccines; determine when and how pathogens are spreading across the landscape; identify virus transmission hotspots; and are a critical component in genomic surveillance for pandemic preparedness. We have developed a centralized sequence database that integrates a selected set of previously private clinical data, using PRRSV data as an exemplar, alongside publicly available genomic information. We implemented the Tripal toolkit, using the open source Drupal content management system and the Chado database schema. Tripal consists of a collection of Drupal modules that are used to manage, visualize, and disseminate biological data stored within Chado. Hosting is provided by Amazon Web Services (AWS) EC2 cloud instance with resource scaling. New sequences sourced from diagnostic labs contain at a minimum four data items: genomic information; date of collection; collection location (state or province level); and a unique identifier. Users can download annotated genomic sequences from the database using a customized search interface that incorporates data mined from published literature; search for similar sequences using BLAST-based tools; and explore annotated reference genomes. Additionally, because the bulk of data presently are PRRSV sequences, custom curation and annotation pipelines have determined PRRSV genotype (Type 1 or 2), the location of open reading frames and nonstructural proteins, generated amino acid sequences, the occurrence of putative frame shifts, and restriction fragment length polymorphism (RFLP) classification of GP5 genes. Genomic data from seven major swine pathogens have been curated and annotated. The resource provides researchers timely access to sequences discovered by veterinary diagnosticians, allowing for epidemiological and comparative virology studies. The result will be a better understanding on the emergence of novel swine viruses in the United States (US), and how these novel strains are disseminated in the US and abroad.
Database URL https://swinepathogendb.org
Competing Interest Statement
The authors have declared no competing interest.
