SilkPathDB


28365723	SilkPathDB: a comprehensive resource for the study of silkworm pathogens. [PMID: 28365723] Li T, Pan GQ, Vossbrinck CR, Xu JS, Li CF, Chen J, Long MX, Yang M, Xu XF, Xu C, Debrunner-Vossbrinck BA, Zhou ZY. 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. http://silkpathdb.swu.edu.cn. Database (Oxford). 2017:2017(1) \| 10 Citations (from Europe PMC, 2025-03-22)

SilkPathDB: a comprehensive resource for the study of silkworm pathogens. [PMID: 28365723]

Li T, Pan GQ, Vossbrinck CR, Xu JS, Li CF, Chen J, Long MX, Yang M, Xu XF, Xu C, Debrunner-Vossbrinck BA, Zhou ZY.

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. http://silkpathdb.swu.edu.cn.

Database (Oxford). 2017:2017(1) | 10 Citations (from Europe PMC, 2025-03-22)

URL:	http://silkpathdb.swu.edu.cn/
Full name:	Silkworm Pathogen Database
Description:	a comprehensive resource for studying on pathogens of silkworm, including microsporidia, fungi, bacteria and virus
Year founded:	2017
Last update:	2017-02-26
Version:	v 1.0
Accessibility:	Accessible
Country/Region:	China

Data type:	DNA Protein RNA
Data object:	Bacteria Fungi Virus
Database category:	Gene genome and annotation
Major species:	Nosema antheraeae Nosema bombycis Vairimorpha necatrix Beauveria bassiana Metarhizium anisopliae Cordyceps militaris Bacillus thuringiensis Bombyx mori nucleopolyhedrovirus
Keywords:	pathogen silkworm

University/Institution:	Southwest University
Address:	State Key Laboratory of Silkworm Genome Biology, Southwest University, #2 Tiansheng Road, Beibei District, Chongqing 400715, China.
City:	Chongqing
Province/State:	Chongqing
Country/Region:	China
Contact name (PI/Team):	Tian Li
Contact email (PI/Helpdesk):	lit@swu.edu.cn

Database Commons
a catalog of worldwide biological databases

a catalog of worldwide biological databases

Database Profile

General information

Classification & Tag

Contact information

Publications

Ranking

Community reviews

Word cloud

Tags

Related Databases

Record metadata

Research & Resources

Featured

Alliance & Collaboration

Conference & Outreach

About

Database Commons a catalog of worldwide biological databases