ArticleDatabase : the journal of biological databases and curation2017
SilkPathDB: a comprehensive resource for the study of silkworm pathogens.
Article in Database : the journal of biological databases and curation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Genome Structure, Evolution, and Host Shift ofBiology · 2024Article
- Microsporidia and invertebrate hosts: genome-informed taxonomy surrounding a new lineage of crayfish-infectingFungal diversity · 2024Article
- The humoral immune response of the lepidopteran model insect, silkwormCurrent research in insect science · 2024Review
- New insights into the genome and transmission of the microsporidian pathogenFrontiers in microbiology · 2023Article
- Genome-Wide Characterization and Comparative Genomic Analysis of the Serpin Gene Family in MicrosporidianInternational journal of molecular sciences · 2022Article
- SilkBase: an integrated transcriptomic and genomic database for Bombyx mori and related species.Database : the journal of biological databases and curation · 2022Article
- Characterization of the Largest Secretory Protein Family, Ricin B Lectin-like Protein, inJournal of fungi (Basel, Switzerland) · 2022Article
- SilkDB 3.0: visualizing and exploring multiple levels of data for silkworm.Nucleic acids research · 2020Article
- PamulDB: a comprehensive genomic resource for the study of human- and animal-pathogenic Pasteurella multocida.Database : the journal of biological databases and curation · 2019Article
- qPrimerDB: a thermodynamics-based gene-specific qPCR primer database for 147 organisms.Nucleic acids research · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Silkworm pathogens have been heavily impeding the development of sericultural industry and play important roles in lepidopteran ecology, and some of which are used as biological insecticides. Rapid advances in studies on the omics of silkworm pathogens have produced a large amount of data, which need to be brought together centrally in a coherent and systematic manner. This will facilitate the reuse of these data for further analysis. We have collected genomic data for 86 silkworm pathogens from 4 taxa (fungi, microsporidia, bacteria and viruses) and from 4 lepidopteran hosts, and developed the open-access Silkworm Pathogen Database (SilkPathDB) to make this information readily available. The implementation of SilkPathDB involves integrating Drupal and GBrowse as a graphic interface for a Chado relational database which houses all of the datasets involved. The genomes have been assembled and annotated for comparative purposes and allow the search and analysis of homologous sequences, transposable elements, protein subcellular locations, including secreted proteins, and gene ontology. We believe that the SilkPathDB will aid researchers in the identification of silkworm parasites, understanding the mechanisms of silkworm infections, and the developmental ecology of silkworm parasites (gene expression) and their hosts. Database URL: http://silkpathdb.swu.edu.cn.
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