| URL: | http://symbiogenomesdb.uv.es |
| Full name: | Symbiotic Genomes Database for the integration and access to knowledge on host-symbiont relationships |
| Description: | SymbioGenomesDB consists of a community database resource for laboratories which aim to research and gather information of the genetics and the genomic systems involved in symbiosis, regardless of it’s biotic interaction as commensal, mutualist or pathogen. |
| Year founded: | 2015 |
| Last update: | 2015-01-05 |
| Version: | v1.0 |
| Accessibility: |
Accessible
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| Country/Region: | Spain |
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| University/Institution: | University of Valencia |
| Address: | Spain |
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| Country/Region: | Spain |
| Contact name (PI/Team): | Administrator |
| Contact email (PI/Helpdesk): | bertmare@uv.es |
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An update on the Symbiotic Genomes Database (SymGenDB): a collection of metadata, genomic, genetic and protein sequences, orthologs and metabolic networks of symbiotic organisms. [PMID: 32055857]
The Symbiotic Genomes Database (SymGenDB; http://symbiogenomesdb.uv.es/) is a public resource of manually curated associations between organisms involved in symbiotic relationships, maintaining a catalog of completely sequenced/finished bacterial genomes exclusively. It originally consisted of three modules where users could search for the bacteria involved in a specific symbiotic relationship, their genomes and their genes (including their orthologs). In this update, we present an additional module that includes a representation of the metabolic network of each organism included in the database, as Directed Acyclic Graphs (MetaDAGs). This module provides unique opportunities to explore the metabolism of each individual organism and/or to evaluate the shared and joint metabolic capabilities of the organisms of the same genera included in our listing, allowing users to construct predictive analyses of metabolic associations and complementation between systems. We also report a ~25% increase in manually curated content in the database, i.e. bacterial genomes and their associations, with a final count of 2328 bacterial genomes associated to 498 hosts. We describe new querying possibilities for all the modules, as well as new display features for the MetaDAGs module, providing a relevant range of content and utility. This update continues to improve SymGenDB and can help elucidate the mechanisms by which organisms depend on each other. |
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SymbioGenomesDB: a database for the integration and access to knowledge on host-symbiont relationships. [PMID: 26607947]
Symbiotic relationships occur naturally throughout the tree of life, either in a commensal, mutualistic or pathogenic manner. The genomes of multiple organisms involved in symbiosis are rapidly being sequenced and becoming available, especially those from the microbial world. Currently, there are numerous databases that offer information on specific organisms or models, but none offer a global understanding on relationships between organisms, their interactions and capabilities within their niche, as well as their role as part of a system, in this case, their role in symbiosis. We have developed the SymbioGenomesDB as a community database resource for laboratories which intend to investigate and use information on the genetics and the genomics of organisms involved in these relationships. The ultimate goal of SymbioGenomesDB is to host and support the growing and vast symbiotic-host relationship information, to uncover the genetic basis of such associations. SymbioGenomesDB maintains a comprehensive organization of information on genomes of symbionts from diverse hosts throughout the Tree of Life, including their sequences, their metadata and their genomic features. This catalog of relationships was generated using computational tools, custom R scripts and manual integration of data available in public literature. As a highly curated and comprehensive systems database, SymbioGenomesDB provides web access to all the information of symbiotic organisms, their features and links to the central database NCBI. Three different tools can be found within the database to explore symbiosis-related organisms, their genes and their genomes. Also, we offer an orthology search for one or multiple genes in one or multiple organisms within symbiotic relationships, and every table, graph and output file is downloadable and easy to parse for further analysis. The robust SymbioGenomesDB will be constantly updated to cope with all the data being generated and included in major databases, in order to serve as an important, useful and timesaving tool.Database URL: http://symbiogenomesdb.uv.es. © The Author(s) 2015. Published by Oxford University Press. |