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Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing
Guanica dry forest (GDF), located in the southwest area or region of Puerto Rico, is among the most preserved subtropical dry forests in the world [1]. To describe the taxonomic diversity and functional profiles of this environment, metagenomic DNA was extracted from a metagenomic library generated...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926141/ https://www.ncbi.nlm.nih.gov/pubmed/31890785 http://dx.doi.org/10.1016/j.dib.2019.104919 |
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author | Sotomayor-Mena, Roberto G. Rios-Velazquez, Carlos |
author_facet | Sotomayor-Mena, Roberto G. Rios-Velazquez, Carlos |
author_sort | Sotomayor-Mena, Roberto G. |
collection | PubMed |
description | Guanica dry forest (GDF), located in the southwest area or region of Puerto Rico, is among the most preserved subtropical dry forests in the world [1]. To describe the taxonomic diversity and functional profiles of this environment, metagenomic DNA was extracted from a metagenomic library generated from the GDF. The DNA was shotgun-sequenced using Illumina and analyzed using the MG-RAST server. The diversity profile revealed that the most abundant domain was Bacteria (97.8%) followed by Archaea (1.12%), Eukaryota (1.02%) and Viruses (0.03%). Out of the 50 phyla present, the most abundant was Proteobacteria (41.6%) followed by Actinobacteria (18.7%) and Acidobacteria (7.06%). Moreover, a total of 213 orders, 384 families and 791 genus were identified. The functional profile showed abundance of genes related to Carbohydrates (13.16%), Clustering-based subsystems (13.0%), Amino Acids and Derivatives (9.9%) and Protein Metabolism (8.24%). Furthermore, more specific grouping showed that NULL (21.5%) was the most abundant function group, followed by Plant-Prokaryote DOE project (6.05%), Protein biosynthesis (4.82%), Central carbohydrate metabolism (3.98%), DNA repair (2.72%) and Resistance to antibiotics and toxic compounds (2.66%). This dataset is useful in bioprospecting studies with application in biomedical sciences, biotechnology and microbial, population and applied ecology fields. |
format | Online Article Text |
id | pubmed-6926141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69261412019-12-30 Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing Sotomayor-Mena, Roberto G. Rios-Velazquez, Carlos Data Brief Agricultural and Biological Science Guanica dry forest (GDF), located in the southwest area or region of Puerto Rico, is among the most preserved subtropical dry forests in the world [1]. To describe the taxonomic diversity and functional profiles of this environment, metagenomic DNA was extracted from a metagenomic library generated from the GDF. The DNA was shotgun-sequenced using Illumina and analyzed using the MG-RAST server. The diversity profile revealed that the most abundant domain was Bacteria (97.8%) followed by Archaea (1.12%), Eukaryota (1.02%) and Viruses (0.03%). Out of the 50 phyla present, the most abundant was Proteobacteria (41.6%) followed by Actinobacteria (18.7%) and Acidobacteria (7.06%). Moreover, a total of 213 orders, 384 families and 791 genus were identified. The functional profile showed abundance of genes related to Carbohydrates (13.16%), Clustering-based subsystems (13.0%), Amino Acids and Derivatives (9.9%) and Protein Metabolism (8.24%). Furthermore, more specific grouping showed that NULL (21.5%) was the most abundant function group, followed by Plant-Prokaryote DOE project (6.05%), Protein biosynthesis (4.82%), Central carbohydrate metabolism (3.98%), DNA repair (2.72%) and Resistance to antibiotics and toxic compounds (2.66%). This dataset is useful in bioprospecting studies with application in biomedical sciences, biotechnology and microbial, population and applied ecology fields. Elsevier 2019-12-03 /pmc/articles/PMC6926141/ /pubmed/31890785 http://dx.doi.org/10.1016/j.dib.2019.104919 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Agricultural and Biological Science Sotomayor-Mena, Roberto G. Rios-Velazquez, Carlos Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing |
title | Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing |
title_full | Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing |
title_fullStr | Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing |
title_full_unstemmed | Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing |
title_short | Soil microbiome dataset from Guanica dry forest in Puerto Rico generated by shotgun sequencing |
title_sort | soil microbiome dataset from guanica dry forest in puerto rico generated by shotgun sequencing |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926141/ https://www.ncbi.nlm.nih.gov/pubmed/31890785 http://dx.doi.org/10.1016/j.dib.2019.104919 |
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