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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.
Reyes-Prieto, Mariana; Vargas-Chávez, Carlos; Llabrés, Mercè; Palmer, Pere; Latorre, Amparo; Moya, Andrés.
Afiliação
  • Reyes-Prieto M; Evolutionary Systems Biology of Symbionts, Institute for Integrative Systems Biology (I2SysBio), Universitat de València, Paterna, València, Spain.
  • Vargas-Chávez C; Sequencing and Bioinformatics Service, Foundation for the Promotion of Sanitary and Biomedical Research of the Valencia Region (FISABIO), València, Spain.
  • Llabrés M; Evolutionary Systems Biology of Symbionts, Institute for Integrative Systems Biology (I2SysBio), Universitat de València, Paterna, València, Spain.
  • Palmer P; Functional and Evolutionary Genomics, Institute of Evolutionary Biology (IBE), CSIC-Universitat Pompeu Fabra, Barcelona, Spain.
  • Latorre A; Department of Mathematics and Computer Science, University of the Balearic Islands, Palma, Balearic Islands, Spain.
  • Moya A; Department of Mathematics and Computer Science, University of the Balearic Islands, Palma, Balearic Islands, Spain.
Database (Oxford) ; 20202020 01 01.
Article em En | MEDLINE | ID: mdl-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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simbiose / Genômica / Bases de Dados Genéticas / Metadados Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simbiose / Genômica / Bases de Dados Genéticas / Metadados Idioma: En Ano de publicação: 2020 Tipo de documento: Article