Logo image
Meta-barcoding of ‘dirt’ DNA from soil reflects vertebrate biodiversity
Journal article   Peer reviewed

Meta-barcoding of ‘dirt’ DNA from soil reflects vertebrate biodiversity

K. Andersen, K.L. Bird, M. Rasmussen, J. Haile, H. Breuning-Madsen, K.H. Kjaer, L. Orlando, M.T.P. Gilbert and E. Willerslev
Molecular Ecology, Vol.21(8), pp.1966-1979
2012
url
Link to Published Version *Subscription may be requiredView

Abstract

DNA molecules originating from animals and plants can be retrieved directly from sediments and have been used for reconstructing both contemporary and past ecosystems. However, the extent to which such 'dirt' DNA reflects taxonomic richness and structural diversity remains contentious. Here, we couple second generation high-throughput sequencing with 16S mitochondrial DNA (mtDNA) meta-barcoding, to explore the accuracy and sensitivity of 'dirt' DNA as an indicator of vertebrate diversity, from soil sampled at safari parks, zoological gardens and farms with known species compositions. PCR amplification was successful in the full pH range of the investigated soils (6.2 ± 0.2 to 8.3 ± 0.2), but inhibition was detected in extracts from soil of high organic content. DNA movement (leaching) through strata was evident in some sporadic cases and is influenced by soil texture and structure. We find that DNA from the soil surface reflects overall taxonomic richness and relative biomass of individual species. However, one species that was recently introduced was not detected. Furthermore, animal behaviour was shown to influence DNA deposition rates. The approach potentially provides a quick methodological alternative to classical ecological surveys of biodiversity, and most reliable results are obtained with spatial sample replicates, while relative amounts of soil processed per site is of less importance.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#14 Life Below Water
#15 Life on Land

Source: InCites

Metrics

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
3.64.2564 Environmental DNA
Web Of Science research areas
Biochemistry & Molecular Biology
Ecology
Evolutionary Biology
ESI research areas
Environment/Ecology
Logo image