Journal article
Identification of microsatellites from an extinct moa species using high-throughput (454) sequence data
BioTechniques, Vol.46(3), pp.195-200
2009
Abstract
Genetic variation in microsatellites is rarely examined in the field of ancient DNA (aDNA) due to the low quantity of nuclear DNA in the fossil record together with the lack of characterized nuclear markers in extinct species. 454 sequencing platforms provide a new high-throughput technology capable of generating up to 1 gigabases per run as short (200–400-bp) read lengths. 454 data were generated from the fossil bone of an extinct New Zealand moa (Aves: Dinornithiformes). We identified numerous short tandem repeat (STR) motifs, and here present the successful isolation and characterization of one polymorphic microsatellite (Moa_MS2). Primers designed to flank this locus amplified all three moa species tested here. The presented method proved to be a fast and efficient way of identifying microsatellite markers in ancient DNA templates and, depending on biomolecule preservation, has the potential of enabling high-resolution population genetic studies of extinct taxa. As sequence read lengths of the 454 platforms and its competitors (e.g., the SOLEXA and SOLiD platforms) increase, this approach will become increasingly powerful in identifying microsatellites in extinct (and extant) organisms, and will afford new opportunities to study past biodiversity and extinction processes.
Details
- Title
- Identification of microsatellites from an extinct moa species using high-throughput (454) sequence data
- Authors/Creators
- M.E. Allentoft (Author/Creator) - University of CanterburyS. Schuster (Author/Creator)R. Holdaway (Author/Creator)M. Hale (Author/Creator)E. McLay (Author/Creator)C.L. Oskam (Author/Creator)M.T.P. Gilbert (Author/Creator)P. Spencer (Author/Creator)E. Willerslev (Author/Creator)M. Bunce (Author/Creator)
- Publication Details
- BioTechniques, Vol.46(3), pp.195-200
- Publisher
- Informa BioSciences
- Identifiers
- 991005542747707891
- Copyright
- The Author(s), 2009.
- Murdoch Affiliation
- School of Biological Sciences and Biotechnology
- Language
- English
- Resource Type
- Journal article
Metrics
656 File views/ downloads
115 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.64 Phylogenetics & Genomics
- 3.64.71 Genetic Diversity
- Web Of Science research areas
- Biochemical Research Methods
- Biochemistry & Molecular Biology
- ESI research areas
- Biology & Biochemistry