| Literature DB >> 30505899 |
Luis E Rodriguez-Ramos1, Carlos Rios-Velazquez1.
Abstract
Camuy River Cave Park (CRCP) is an underground cave system located at the subtropical karst carved by the Camuy River in the subtropical moist forest of northern Puerto Rico (Nieves-Rivera, 2003) [1]. This article contains a metagenomic dataset from the microbial and functional diversity of Clara Cave and Empalme Sinkhole water samples. The environmental DNA (eDNA) from the samples was extracted following direct Metagenomic DNA Isolation method, followed by Next-Generation-Sequencing technology (Illumina MiSeq). The sequences were submitted to MG-RAST online server for taxonomic profile generation and functional in silico description of the samples. The data consisted of domain Bacteria (96.69%), followed up by Viruses (2.87%), Eukaryotes (0.37%), and Archaea (0.02%). The data distribution by phyla showed Proteobacteria (92.61%), Bacteroidetes (1.66%), Actinobacteria (1.12%), and Firmicutes (0.48%). The subsystem functional data showed that 12.97% of genes were related to clustering-based subsystems, 11.40% to carbohydrates, and 11.0% to amino acids and derivatives. The metagenome dataset generated will provide an understanding and comparison framework of the microbial composition and functional diversity present in caves.Entities:
Year: 2018 PMID: 30505899 PMCID: PMC6247408 DOI: 10.1016/j.dib.2018.11.028
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Fig. 1Taxonomic profile of Clara Cave and Empalme Sinkhole waters. The taxonomic analysis revealed the most abundant domain was Bacteria (96.69%), followed up by viruses (2.87%), Eukaryotes (0.37%), other sequences (0.04%), and Archaea (0.02%). The analysis consisted of 52 phyla, from which Proteobacteria (92.61%) showed to be the most abundant, followed up by unclassified for viruses (2.87%), Bacteroidetes (1.66%), Actinobacteria (1.12%), and Firmicutes (0.48%). The metagenome represents the DNA extracted from combined water samples.
Fig. 2Functional in silico profile of Clara Cave and Empalme Sinkhole water samples using subsystem annotation. Subsystem functional analysis presented that 11.0% of genes are related to clustering-based subsystems, 11.0% to amino acids and derivatives, 10.0% to carbohydrates, 6.0% to miscellaneous, and 5.0% to membrane transport. In addition, genes related to metabolism of proteins (6.0%), DNA (4.0%), RNA (4.0%), iron (3.0%), aromatic compounds (3.0%), sulfur (2.0%), nitrogen (1.0%), phosphorous (1.0%), potassium (0.8%), and secondary metabolism (0.2%). The metagenome represents the DNA extracted from combined water samples.
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| Data accessibility | Data is with this article. The data of this metagenome is available in the BioSample Submission Portal as Bioproject PRJNA487362 via |