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Mitogenome metadata: current trends and proposed standards.

Authors :
Strohm JH
Gwiazdowski RA
Hanner R
Source :
Mitochondrial DNA. Part A, DNA mapping, sequencing, and analysis [Mitochondrial DNA A DNA Mapp Seq Anal] 2016 Sep; Vol. 27 (5), pp. 3263-9. Date of Electronic Publication: 2015 Feb 19.
Publication Year :
2016

Abstract

Mitogenome metadata are descriptive terms about the sequence, and its specimen description that allow both to be digitally discoverable and interoperable. Here, we review a sampling of mitogenome metadata published in the journal Mitochondrial DNA between 2005 and 2014. Specifically, we have focused on a subset of metadata fields that are available for GenBank records, and specified by the Genomics Standards Consortium (GSC) and other biodiversity metadata standards; and we assessed their presence across three main categories: collection, biological and taxonomic information. To do this we reviewed 146 mitogenome manuscripts, and their associated GenBank records, and scored them for 13 metadata fields. We also explored the potential for mitogenome misidentification using their sequence diversity, and taxonomic metadata on the Barcode of Life Datasystems (BOLD). For this, we focused on all Lepidoptera and Perciformes mitogenomes included in the review, along with additional mitogenome sequence data mined from Genbank. Overall, we found that none of 146 mitogenome projects provided all the metadata we looked for; and only 17 projects provided at least one category of metadata across the three main categories. Comparisons using mtDNA sequences from BOLD, suggest that some mitogenomes may be misidentified. Lastly, we appreciate the research potential of mitogenomes announced through this journal; and we conclude with a suggestion of 13 metadata fields, available on GenBank, that if provided in a mitogenomes's GenBank record, would increase their research value.

Details

Language :
English
ISSN :
2470-1408
Volume :
27
Issue :
5
Database :
MEDLINE
Journal :
Mitochondrial DNA. Part A, DNA mapping, sequencing, and analysis
Publication Type :
Academic Journal
Accession number :
25693692
Full Text :
https://doi.org/10.3109/19401736.2015.1015003