The World Bacterial Biogeography and Biodiversity through Databases: A Case Study of NCBI Nucleotide Database and GBIF Database

Joint Authors

James, Phillip
Hacène, Hocine
Wellington, Elizabeth M. H.
Nateche, Farida
Selama, Okba

Source

BioMed Research International

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-10-13

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Medicine

Abstract EN

Databases are an essential tool and resource within the field of bioinformatics.

The primary aim of this study was to generate an overview of global bacterial biodiversity and biogeography using available data from the two largest public online databases, NCBI Nucleotide and GBIF.

The secondary aim was to highlight the contribution each geographic area has to each database.

The basis for data analysis of this study was the metadata provided by both databases, mainly, the taxonomy and the geographical area origin of isolation of the microorganism (record).

These were directly obtained from GBIF through the online interface, while E-utilities and Python were used in combination with a programmatic web service access to obtain data from the NCBI Nucleotide Database.

Results indicate that the American continent, and more specifically the USA, is the top contributor, while Africa and Antarctica are less well represented.

This highlights the imbalance of exploration within these areas rather than any reduction in biodiversity.

This study describes a novel approach to generating global scale patterns of bacterial biodiversity and biogeography and indicates that the Proteobacteria are the most abundant and widely distributed phylum within both databases.

American Psychological Association (APA)

Selama, Okba& James, Phillip& Nateche, Farida& Wellington, Elizabeth M. H.& Hacène, Hocine. 2013. The World Bacterial Biogeography and Biodiversity through Databases: A Case Study of NCBI Nucleotide Database and GBIF Database. BioMed Research International،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1030218

Modern Language Association (MLA)

Selama, Okba…[et al.]. The World Bacterial Biogeography and Biodiversity through Databases: A Case Study of NCBI Nucleotide Database and GBIF Database. BioMed Research International No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1030218

American Medical Association (AMA)

Selama, Okba& James, Phillip& Nateche, Farida& Wellington, Elizabeth M. H.& Hacène, Hocine. The World Bacterial Biogeography and Biodiversity through Databases: A Case Study of NCBI Nucleotide Database and GBIF Database. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1030218

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1030218