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Alu SINE analyses of 3,000-year-old human skeletal remains: a pilot study

Overview of attention for article published in Mobile DNA, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

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1 blog
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6 X users

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Title
Alu SINE analyses of 3,000-year-old human skeletal remains: a pilot study
Published in
Mobile DNA, April 2016
DOI 10.1186/s13100-016-0063-y
Pubmed ID
Authors

Maximilian Kothe, Verena Seidenberg, Susanne Hummel, Oliver Piskurek

Abstract

As Short Interspersed Elements (SINEs), human-specific Alu elements can be used for population genetic studies. Very recent inserts are polymorphic within and between human populations. In a sample of 30 elements originating from three different Alu subfamilies, we investigated whether they are preserved in prehistorical skeletal human remains from the Bronze Age Lichtenstein cave in Lower Saxony, Germany. In the present study, we examined a prehistoric triad of father, mother and daughter. For 26 of the 30 Alu loci investigated, definite results were obtained. We were able to demonstrate that presence/absence analyses of Alu elements can be conducted on individuals who lived 3,000 years ago. The preservation of the ancient DNA (aDNA) is good enough in two out of three ancient individuals to routinely allow the amplification of 500 bp fragments. The third individual revealed less well-preserved DNA, which results in allelic dropout or complete amplification failures. We here present an alternative molecular approach to deal with these degradation phenomena by using internal Alu subfamily specific primers producing short fragments of approximately 150 bp. Our data clearly show the possibility of presence/absence analyses of Alu elements in individuals from the Lichtenstein cave. Thus, we demonstrate that our method is reliably applicable for aDNA samples with good or moderate DNA preservation. This method will be very useful for further investigations with more Alu loci and larger datasets. Human population genetic studies and other large-scale investigations would provide insight into Alu SINE-based microevolutionary processes in humans during the last few thousand years and help us comprehend the evolutionary dynamics of our genome.

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Student > Master 4 19%
Student > Ph. D. Student 3 14%
Unspecified 2 10%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 5 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 33%
Biochemistry, Genetics and Molecular Biology 6 29%
Unspecified 2 10%
Medicine and Dentistry 1 5%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 April 2016.
All research outputs
#3,049,701
of 22,865,319 outputs
Outputs from Mobile DNA
#81
of 336 outputs
Outputs of similar age
#50,692
of 299,111 outputs
Outputs of similar age from Mobile DNA
#3
of 4 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 336 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 75% 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 299,111 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 others from the same source and published within six weeks on either side of this one.