» Articles » PMID: 32055857

An Update on the Symbiotic Genomes Database (SymGenDB): a Collection of Metadata, Genomic, Genetic and Protein Sequences, Orthologs and Metabolic Networks of Symbiotic Organisms

Overview
Specialty Biology
Date 2020 Feb 15
PMID 32055857
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Metadag: a web tool to generate and analyse metabolic networks.

Palmer-Rodriguez P, Alberich R, Reyes-Prieto M, Castro J, Llabres M BMC Bioinformatics. 2025; 26(1):31.

PMID: 39875845 PMC: 11776228. DOI: 10.1186/s12859-025-06048-w.


The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes.

Garzon M, Reyes-Prieto M, Gil R Front Microbiol. 2022; 13:858983.

PMID: 35479634 PMC: 9035817. DOI: 10.3389/fmicb.2022.858983.


The Metabolic Building Blocks of a Minimal Cell.

Reyes-Prieto M, Gil R, Llabres M, Palmer-Rodriguez P, Moya A Biology (Basel). 2020; 10(1).

PMID: 33374107 PMC: 7824019. DOI: 10.3390/biology10010005.


COG database update: focus on microbial diversity, model organisms, and widespread pathogens.

Galperin M, Wolf Y, Makarova K, Vera Alvarez R, Landsman D, Koonin E Nucleic Acids Res. 2020; 49(D1):D274-D281.

PMID: 33167031 PMC: 7778934. DOI: 10.1093/nar/gkaa1018.

References
1.
Alberich R, Castro J, Llabres M, Palmer-Rodriguez P . Metabolomics analysis: Finding out metabolic building blocks. PLoS One. 2017; 12(5):e0177031. PMC: 5426688. DOI: 10.1371/journal.pone.0177031. View

2.
Benson D, Cavanaugh M, Clark K, Karsch-Mizrachi I, Lipman D, Ostell J . GenBank. Nucleic Acids Res. 2016; 45(D1):D37-D42. PMC: 5210553. DOI: 10.1093/nar/gkw1070. View

3.
Wilkinson M, Dumontier M, Aalbersberg I, Appleton G, Axton M, Baak A . The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2016; 3:160018. PMC: 4792175. DOI: 10.1038/sdata.2016.18. View

4.
Mukherjee S, Stamatis D, Bertsch J, Ovchinnikova G, Verezemska O, Isbandi M . Genomes OnLine Database (GOLD) v.6: data updates and feature enhancements. Nucleic Acids Res. 2016; 45(D1):D446-D456. PMC: 5210664. DOI: 10.1093/nar/gkw992. View

5.
Wheeler D, Barrett T, Benson D, Bryant S, Canese K, Chetvernin V . Database resources of the National Center for Biotechnology Information. Nucleic Acids Res. 2007; 36(Database issue):D13-21. PMC: 2238880. DOI: 10.1093/nar/gkm1000. View