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Nuclear eDNA estimates population allele frequencies and abundance in experimental mesocosms and field samples

Overview of attention for article published in Molecular Ecology, January 2021
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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11 news outlets
blogs
1 blog
policy
1 policy source
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49 X users

Citations

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44 Dimensions

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144 Mendeley
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Title
Nuclear eDNA estimates population allele frequencies and abundance in experimental mesocosms and field samples
Published in
Molecular Ecology, January 2021
DOI 10.1111/mec.15765
Pubmed ID
Authors

Kara J. Andres, Suresh A. Sethi, David M. Lodge, Jose Andrés

Abstract

Advances in environmental DNA (eDNA) methodologies have led to improvements in the ability to detect species and communities in aquatic environments, yet the majority of studies emphasize biological diversity at the species level by targeting variable sites within the mitochondrial genome. Here, we demonstrate that eDNA approaches also have the capacity to detect intraspecific diversity in the nuclear genome, allowing for assessments of population-level allele frequencies and estimates of the number of genetic contributors in an eDNA sample. Using a panel of microsatellite loci developed for the round goby (Neogobius melanostomus), we tested the similarity between eDNA-based and individual tissue-based estimates of allele frequencies from experimental mesocosms and in a field-based trial. Subsequently, we used a likelihood-based DNA mixture framework to estimate the number of unique genetic contributors in eDNA samples and in simulated mixtures of alleles. In both mesocosm and field samples, allele frequencies from eDNA were highly correlated with allele frequencies from genotyped round goby tissue samples, indicating nuclear markers can be reliably amplified from water samples. DNA mixture analyses were able to estimate the number of genetic contributors from mesocosm eDNA samples and simulated mixtures of DNA from up to 58 individuals, with the degree of positive or negative bias dependent on the filtering scheme of low-frequency alleles. With this study we document the application of eDNA and multiple amplicon-based methods to obtain intraspecific nuclear genetic information and estimate the absolute abundance of a species in eDNA samples. With proper validation, this approach has the potential to advance noninvasive survey methods to characterize populations and detect population-level genetic diversity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 20%
Student > Master 19 13%
Student > Ph. D. Student 17 12%
Student > Bachelor 14 10%
Student > Doctoral Student 7 5%
Other 16 11%
Unknown 42 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 28%
Biochemistry, Genetics and Molecular Biology 28 19%
Environmental Science 18 13%
Earth and Planetary Sciences 2 1%
Engineering 2 1%
Other 6 4%
Unknown 47 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 117. 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 06 February 2023.
All research outputs
#362,350
of 25,706,302 outputs
Outputs from Molecular Ecology
#69
of 6,745 outputs
Outputs of similar age
#10,465
of 531,612 outputs
Outputs of similar age from Molecular Ecology
#5
of 100 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,745 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 98% 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 531,612 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.