Journal article
Scrapheap Challenge: A novel bulk-bone metabarcoding method to investigate ancient DNA in faunal assemblages
Scientific Reports, Vol.3
2013
Abstract
Highly fragmented and morphologically indistinct fossil bone is common in archaeological and paleontological deposits but unfortunately it is of little use in compiling faunal assemblages. The development of a cost-effective methodology to taxonomically identify bulk bone is therefore a key challenge. Here, an ancient DNA methodology using high-throughput sequencing is developed to survey and analyse thousands of archaeological bones from southwest Australia. Fossils were collectively ground together depending on which of fifteen stratigraphical layers they were excavated from. By generating fifteen synthetic blends of bulk bone powder, each corresponding to a chronologically distinct layer, samples could be collectively analysed in an efficient manner. A diverse range of taxa, including endemic, extirpated and hitherto unrecorded taxa, dating back to c.46,000 years BP was characterized. The method is a novel, cost-effective use for unidentifiable bone fragments and a powerful molecular tool for surveying fossils that otherwise end up on the taxonomic “scrapheap”.
Details
- Title
- Scrapheap Challenge: A novel bulk-bone metabarcoding method to investigate ancient DNA in faunal assemblages
- Authors/Creators
- D.C. Murray (Author/Creator) - Murdoch UniversityJ. Haile (Author/Creator) - Murdoch UniversityJ. Dortch (Author/Creator) - The University of Western AustraliaN.E. White (Author/Creator) - Murdoch UniversityD. Haouchar (Author/Creator) - Murdoch UniversityM.I. Bellgard (Author/Creator) - Murdoch UniversityR.J. Allcock (Author/Creator) - The University of Western AustraliaG.J. Prideaux (Author/Creator) - Flinders UniversityM. Bunce (Author/Creator) - Murdoch University
- Publication Details
- Scientific Reports, Vol.3
- Publisher
- Nature Publishing Group
- Identifiers
- 991005542482607891
- Murdoch Affiliation
- Centre for Comparative Genomics; School of Veterinary and Life Sciences
- Language
- English
- Resource Type
- Journal article
- Note
- This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites
Metrics
280 File views/ downloads
61 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.189 Genome Studies
- 1.189.310 Population Genetics
- Web Of Science research areas
- Biochemistry & Molecular Biology
- ESI research areas
- Multidisciplinary