The DOI matches its Crossref record; 197 of the 197 references it cites were found in a registry or an index.
Scaling up: A guide to high‐throughput genomic approaches for biodiversity analysis
Open accessAbstract
The purpose of this review is to present the most common and emerging DNA‐based methods used to generate data for biodiversity and biomonitoring studies. As environmental assessment and monitoring programmes may require biodiversity information at multiple levels, we pay particular attention to the DNA metabarcoding method and discuss a number of bioinformatic tools and considerations for producing DNA‐based indicators using operational taxonomic units (OTU s), taxa at a variety of ranks and community composition. By developing the capacity to harness the advantages provided by the newest technologies, investigators can “scale up” by increasing the number of samples and replicates processed, the frequency of sampling over time and space, and even the depth of sampling such as by sequencing more reads per sample or more markers per sample. The ability to scale up is made possible by the reduced hands‐on time and cost per sample provided by the newest kits, platforms and software tools. Results gleaned from broad‐scale monitoring will provide opportunities to address key scientific questions linked to biodiversity and its dynamics across time and space as well as being more relevant for policymakers, enabling science‐based decision‐making, and provide a greater socio‐economic impact. As genomic approaches are continually evolving, we provide this guide to methods used in biodiversity genomics.
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Cited by
Biases in bulk: DNA metabarcoding of marine communities and the methodology involved
van der Loos, L. M., & Nijland, R. (2021) · Molecular Ecology · doi:10.1111/mec.15592 · Cited by 268
Pauvert, C., Buée, M., Laval, V., Edel-Hermann, V., Fauchery, L., Gautier, A., Lesur, I., Vallance, J., & Vacher, C. (2019) · Fungal Ecology · doi:10.1016/j.funeco.2019.03.005 · Cited by 253
Metadata
- Authors
- Porter, T. M., & Hajibabaei, M.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2018-01
- Volume
- 27
- Issue
- 2
- Pages
- 313-338
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2782451002
- Cited by
- 305
- References
- 197
- FWCI
- 26.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
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