6533b82cfe1ef96bd12901c5
RESEARCH PRODUCT
An update on the Symbiotic Genomes Database (SymGenDB): a collection of metadata, genomic, genetic and protein sequences, orthologs and metabolic networks of symbiotic organisms
Andrés MoyaCarlos Vargas-chávezCarlos Vargas-chávezPere PalmerMariana Reyes-prietoMercè LlabrésAmparo Latorresubject
Metabolic networkGenomicsBacterial genome sizeBiologycomputer.software_genreGenomeGeneral Biochemistry Genetics and Molecular BiologyBacterial genetics03 medical and health sciences0302 clinical medicineDatabases GeneticSymbiosisGeneOrganism030304 developmental biologyMetadata0303 health sciencesDatabaseGenomicsMetadataDatabase UpdateGeneral Agricultural and Biological SciencescomputerGenome BacterialMetabolic Networks and Pathways030217 neurology & neurosurgeryInformation Systemsdescription
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.
year | journal | country | edition | language |
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2020-01-01 |