Dataset Information

Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective.

ABSTRACT:

Background

DNA sequences are increasingly seen as one of the primary information sources for species identification in many organism groups. Such approaches, popularly known as barcoding, are underpinned by the assumption that the reference databases used for comparison are sufficiently complete and feature correctly and informatively annotated entries.

Methodology/principal findings

The present study uses a large set of fungal DNA sequences from the inclusive International Nucleotide Sequence Database to show that the taxon sampling of fungi is far from complete, that about 20% of the entries may be incorrectly identified to species level, and that the majority of entries lack descriptive and up-to-date annotations.

Conclusions

The problems with taxonomic reliability and insufficient annotations in public DNA repositories form a tangible obstacle to sequence-based species identification, and it is manifest that the greatest challenges to biological barcoding will be of taxonomical, rather than technical, nature.

SUBMITTER: Nilsson RH

PROVIDER: S-EPMC1762357 | biostudies-literature | 2006 Dec

REPOSITORIES: biostudies-literature

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Publications

Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective.

Nilsson R Henrik RH Ryberg Martin M Kristiansson Erik E Abarenkov Kessy K Larsson Karl-Henrik KH Kõljalg Urmas U

PloS one 20061220

<h4>Background</h4>DNA sequences are increasingly seen as one of the primary information sources for species identification in many organism groups. Such approaches, popularly known as barcoding, are underpinned by the assumption that the reference databases used for comparison are sufficiently complete and feature correctly and informatively annotated entries.<h4>Methodology/principal findings</h4>The present study uses a large set of fungal DNA sequences from the inclusive International Nucleo ...[more]

PMID: 17183689

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Project description:BACKGROUND: TEM beta-lactamases are the main cause for resistance against beta-lactam antibiotics. Sequence information about TEM beta-lactamases is mainly found in the NCBI peptide database and TEM mutation table at http://www.lahey.org/Studies/temtable.asp. While the TEM mutation table is manually curated by experts in the lactamase field, who guarantee reliable and consistent information, the rapidly growing sequence and annotation information from the NCBI peptide database is sometimes inconsistent. Therefore, the Lactamase Engineering Database has been developed to collect the TEM beta-lactamase sequences from the NCBI peptide database and the TEM mutation table, systematically compare sequence information and naming, identify inconsistencies, and thus provide a versatile tool for reconciliation of data and for an investigation of the sequence-function relationship. DESCRIPTION: The LacED currently provides 2399 sequence entries and 37 structure entries. Sequence information on 150 different TEM beta-lactamases was derived from the TEM mutation table which provides a unique number to each protein classified as TEM beta-lactamase. 293 TEM-like proteins were found in the NCBI protein database, but only 113 TEM beta-lactamase were common to both data sets. The 180 TEM beta-lactamases from the NCBI protein database which have not yet been assigned to a TEM number fall in three classes: (1) 89 proteins from microbial organisms and 35 proteins from cloning or expression vectors had a new mutation profile; (2) 55 proteins had inconsistent annotation in terms of TEM assignment or reported mutation profile; (3) 39 proteins are fragments. The LacED is web accessible at http://www.LacED.uni-stuttgart.de and contains multisequence alignments, structure information and reconciled annotation of TEM beta-lactamases. The LacED is weekly updated and supplies all data for download. CONCLUSION: The Lactamase Engineering Database enables a systematic analysis of TEM beta-lactamase sequence and annotation data from different data sources, and thus provides a valuable tool to identify inconsistencies in sequences from the NCBI peptide database, to detect TEM beta-lactamases with a novel mutation profile, and to identify new amino acid positions at which mutations can occur.

Dataset Information

Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective.

Background

Methodology/principal findings

Conclusions

Publications

Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective.

Similar Datasets

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