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Environmental DNA (eDNA) metabarcoding assays to detect invasive invertebrate species in the Great Lakes

Overview of attention for article published in PLOS ONE, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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15 X users
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1 Wikipedia page
reddit
1 Redditor

Citations

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122 Dimensions

Readers on

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416 Mendeley
Title
Environmental DNA (eDNA) metabarcoding assays to detect invasive invertebrate species in the Great Lakes
Published in
PLOS ONE, May 2017
DOI 10.1371/journal.pone.0177643
Pubmed ID
Authors

Katy E. Klymus, Nathaniel T. Marshall, Carol A. Stepien

Abstract

Describing and monitoring biodiversity comprise integral parts of ecosystem management. Recent research coupling metabarcoding and environmental DNA (eDNA) demonstrate that these methods can serve as important tools for surveying biodiversity, while significantly decreasing the time, expense and resources spent on traditional survey methods. The literature emphasizes the importance of genetic marker development, as the markers dictate the applicability, sensitivity and resolution ability of an eDNA assay. The present study developed two metabarcoding eDNA assays using the mtDNA 16S RNA gene with Illumina MiSeq platform to detect invertebrate fauna in the Laurentian Great Lakes and surrounding waterways, with a focus for use on invasive bivalve and gastropod species monitoring. We employed careful primer design and in vitro testing with mock communities to assess ability of the markers to amplify and sequence targeted species DNA, while retaining rank abundance information. In our mock communities, read abundances reflected the initial input abundance, with regressions having significant slopes (p<0.05) and high coefficients of determination (R2) for all comparisons. Tests on field environmental samples revealed similar ability of our markers to measure relative abundance. Due to the limited reference sequence data available for these invertebrate species, care must be taken when analyzing results and identifying sequence reads to species level. These markers extend eDNA metabarcoding research for molluscs and appear relevant to other invertebrate taxa, such as rotifers and bryozoans. Furthermore, the sphaeriid mussel assay is group-specific, exclusively amplifying bivalves in the Sphaeridae family and providing species-level identification. Our assays provide useful tools for managers and conservation scientists, facilitating early detection of invasive species as well as improving resolution of mollusc diversity.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 416 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Italy 1 <1%
Unknown 414 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 17%
Student > Ph. D. Student 68 16%
Student > Master 66 16%
Student > Bachelor 52 13%
Student > Doctoral Student 18 4%
Other 57 14%
Unknown 85 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 127 31%
Environmental Science 84 20%
Biochemistry, Genetics and Molecular Biology 70 17%
Earth and Planetary Sciences 5 1%
Engineering 5 1%
Other 26 6%
Unknown 99 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2021.
All research outputs
#3,118,807
of 25,408,670 outputs
Outputs from PLOS ONE
#38,888
of 221,296 outputs
Outputs of similar age
#54,483
of 327,025 outputs
Outputs of similar age from PLOS ONE
#788
of 4,405 outputs
Altmetric has tracked 25,408,670 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 221,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,025 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 4,405 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.