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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
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
15 tweeters
reddit
1 Redditor

Citations

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67 Dimensions

Readers on

mendeley
301 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.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 301 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 299 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 19%
Student > Ph. D. Student 54 18%
Student > Master 47 16%
Student > Bachelor 36 12%
Student > Doctoral Student 16 5%
Other 51 17%
Unknown 41 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 34%
Environmental Science 73 24%
Biochemistry, Genetics and Molecular Biology 50 17%
Unspecified 6 2%
Engineering 3 <1%
Other 17 6%
Unknown 50 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 May 2020.
All research outputs
#2,441,407
of 15,692,207 outputs
Outputs from PLoS ONE
#33,065
of 156,171 outputs
Outputs of similar age
#55,993
of 268,204 outputs
Outputs of similar age from PLoS ONE
#905
of 4,217 outputs
Altmetric has tracked 15,692,207 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 156,171 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 78% 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 268,204 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 79% of its contemporaries.
We're also able to compare this research output to 4,217 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.