Atacama Database
Atacama Database catalogs microbial diversity from the Atacama Desert to support ecological, taxonomic, and genomic analyses.
Key Features:
- Centralized repository: Data are collected, curated, and organized into categories for consolidated access and analysis.
- Organism records: Each record contains classification, isolation metadata, morphology, physiology, genome, and metabolism details.
- Record scope: The database contains 2,302 microorganisms, including cultured and uncultured taxa sampled between 1984 and 2016 across bacterial, archaeal, eukaryotic, and unclassified groups.
- Search functionalities: Basic, taxonomic, and advanced search tools enable identification and comparison of microbial populations and their spatial distribution.
- Geolocation search: Geolocation-based queries provide visualization of microbial diversity across ecological sectors and extraction of sampling site information.
Scientific Applications:
- Microbial ecology: Analysis of population dynamics, seasonal behaviors, and spatial distribution within Atacama ecological niches.
- Climate impact studies: Assessment of potential climate change effects on desert microbial communities.
- Taxonomy and genomics: Support for taxonomic classification and comparative genomic analyses using genome and metadata fields.
- Biotechnological prospecting: Identification of organisms and metabolic traits with potential biotechnological applications.
- Conservation and monitoring: Support for research and conservation efforts through compiled occurrence and site metadata.
Methodology:
Data collection, curation, and organization into categorical records are performed, with geolocation-based visualization and sampling site information extraction provided.
Topics
Details
- Added:
- 11/14/2019
- Last Updated:
- 12/9/2020
Operations
Publications
Contador CA, Veas-Castillo L, Tapia E, Antipán M, Miranda N, Ruiz-Tagle B, García-Araya J, Andrews BA, Marin M, Dorador C, Asenjo JA. Atacama Database: a platform of the microbiome of the Atacama Desert. Antonie van Leeuwenhoek. 2019;113(2):185-195. doi:10.1007/s10482-019-01328-x. PMID:31535335.
PMID: 31535335
Funding: - Comisión Nacional de Investigación Científica y Tecnológica: FB0001