Metabarcoding a Metacommunity: detecting change in a wetland wilderness Article Swipe
Alex Bush
,
Wendy A. Monk
,
Zacchaeus G. Compson
,
Daniel L. Peters
,
Teresita M. Porter
,
Shadi Shokralla
,
Michael Wright
,
Mehrdad Hajibabaei
,
Donald J. Baird
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/819714
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/819714
The complexity and natural variability of ecosystems present a challenge for reliable detection of change due to anthropogenic influences. This issue is exacerbated by necessary trade-offs that reduce the quality and resolution of survey data for assessments at large-scales. The Peace-Athabasca Delta (PAD) is a large inland wetland complex in northern Alberta, Canada. Despite its geographic isolation, the PAD is threatened by encroachment of oil sands mining in the Athabasca watershed, and hydroelectric dams in the Peace watershed. Methods capable of reliably detecting changes in ecosystem health are needed to evaluate and manage risks. Between 2011 and 2016, aquatic macroinvertebrates were sampled across a gradient of wetland flood frequency, applying both microscope-based morphological identification, and DNA metabarcoding. Using multi-species occupancy models, we demonstrate that DNA metabarcoding detected a much broader range of taxa and more taxa per sample compared to traditional morphological identification, and was essential to identifying significant responses to flood and thermal regimes. We show that family-level occupancy masks high variation among genera, and for the first time, quantify the bias of barcoding primers on the probability of detection in a natural community. Interestingly, patterns of community assembly were near random, suggesting a strong role of stochasticity in the dynamics of the metacommunity. This variability seriously compromises effective monitoring at local scales, but also reflects resilience to hydrological and thermal variability. Nevertheless, simulations showed the greater efficiency of metabarcoding, particularly at a finer taxonomic resolution, provided the statistical power needed to detect change at the landscape scale.
Related Topics
Concepts
Metacommunity
Threatened species
Occupancy
Wetland
Ecology
Watershed
Environmental science
Ecosystem
Biodiversity
Range (aeronautics)
Flood myth
Geography
Habitat
Biology
Biological dispersal
Archaeology
Demography
Materials science
Machine learning
Computer science
Population
Composite material
Sociology
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/819714
- https://www.biorxiv.org/content/biorxiv/early/2019/10/25/819714.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2981754880
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2981754880Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/819714Digital Object Identifier
- Title
-
Metabarcoding a Metacommunity: detecting change in a wetland wildernessWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-10-25Full publication date if available
- Authors
-
Alex Bush, Wendy A. Monk, Zacchaeus G. Compson, Daniel L. Peters, Teresita M. Porter, Shadi Shokralla, Michael Wright, Mehrdad Hajibabaei, Donald J. BairdList of authors in order
- Landing page
-
https://doi.org/10.1101/819714Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2019/10/25/819714.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2019/10/25/819714.full.pdfDirect OA link when available
- Concepts
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Metacommunity, Threatened species, Occupancy, Wetland, Ecology, Watershed, Environmental science, Ecosystem, Biodiversity, Range (aeronautics), Flood myth, Geography, Habitat, Biology, Biological dispersal, Archaeology, Demography, Materials science, Machine learning, Computer science, Population, Composite material, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2019: 1Per-year citation counts (last 5 years)
- References (count)
-
66Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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