Efficiency of eDNA and iDNA in assessing vertebrate diversity and its abundance
- PMID: 34724330
- DOI: 10.1111/1755-0998.13543
Efficiency of eDNA and iDNA in assessing vertebrate diversity and its abundance
Abstract
Environmental DNA (eDNA) and invertebrate-derived DNA (iDNA) have been increasingly recognized as powerful tools for biodiversity assessment and conservation management. However, eDNA/iDNA efficiency for vertebrate diversity assessment remains uncertain, and comparisons to conventional methods are still rare. Through a meta-analysis of previously published vertebrate diversity surveys, we compared the efficiency of eDNA/iDNA against conventional methods across several types of samplers, vertebrate groups, and locations (tropical vs. temperate zones). We also assess eDNA/iDNA efficiency to estimate relative abundance or biomass over different molecular methods (qPCR and metabarcoding) and type of experiment (in the laboratory or in the field). We showed that for water sampler, fish as a target species, and studies achieved in temperate zones, eDNA presents lower risk of not detecting a species or a site with a target species than conventional methods. These results show that eDNA is an efficient tool to assess fish diversity. Moreover, eDNA data presents positive correlation with fish abundance or biomass. However, such correlation was higher in laboratory experiments than in the field. For the other samplers, vertebrate groups, and in tropical zones we were not able to draw general conclusion, highlighting the urgency of conducting more comparative studies.
Keywords: environmental DNA; ingested DNA; invertebrate-derived DNA; meta-analysis; metabarcoding; vertebrate surveys.
© 2021 John Wiley & Sons Ltd.
References
REFERENCES
-
- Axtner, J., Crampton-Platt, A., Hörig, L. A., Mohamed, A., Xu, C. C. Y., Yu, D. W., & Wilting, A. (2019). An efficient and robust laboratory workflow and tetrapod database for larger scale environmental DNA studies. GigaScience, 8(4), https://doi.org/10.1093/gigascience/giz029
-
- Baird, D. J., & Hajibabaei, M. (2012). Biomonitoring 2.0: A new paradigm in ecosystem assessment made possible by next-generation DNA sequencing. Molecular Ecology, 21(8), 2039-2044. https://doi.org/10.1111/j.1365-294X.2012.05519.x
-
- Barnes, M. A., Turner, C. R., Jerde, C. L., Renshaw, M. A., Chadderton, W. L., & Lodge, D. M. (2014). Environmental conditions influence eDNA persistence in aquatic systems. Environmental Science & Technology, 48(3), 1819-1827. https://doi.org/10.1021/es404734p
-
- Bellard, C., Bertelsmeier, C., Leadley, P., Thuiller, W., & Courchamp, F. (2012). Impacts of climate change on the future of biodiversity. Ecology Letters, 15(4), 365-377. https://doi.org/10.1111/j.1461-0248.2011.01736.x
-
- Bohmann, K., Evans, A., Gilbert, M. T. P., Carvalho, G. R., Creer, S., Knapp, M., Yu, D. W., & de Bruyn, M. (2014). Environmental DNA for wildlife biology and biodiversity monitoring. Trends in Ecology and Evolution, 29(6), 358-367. https://doi.org/10.1016/j.tree.2014.04.003
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- 2013/24453-4/Fundação de Amparo à Pesquisa do Estado de São Paulo
- 2019/26436-6/Fundação de Amparo à Pesquisa do Estado de São Paulo
- 8887.475596/2020-00/Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- 141085/2019-3/Conselho Nacional de Desenvolvimento Científico e Tecnológico
- 303524/2019-7/Conselho Nacional de Desenvolvimento Científico e Tecnológico
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