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Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

Overview of attention for article published in Mobile DNA, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 359)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans
Published in
Mobile DNA, August 2018
DOI 10.1186/s13100-018-0133-4
Pubmed ID
Authors

Etienne Guichard, Valentina Peona, Guidantonio Malagoli Tagliazucchi, Lucia Abitante, Evelyn Jagoda, Margherita Musella, Marco Ricci, Alejandro Rubio-Roldán, Stefania Sarno, Donata Luiselli, Davide Pettener, Cristian Taccioli, Luca Pagani, Jose Luis Garcia-Perez, Alessio Boattini

Abstract

Transposable elements are biologically important components of eukaryote genomes. In particular, non-LTR retrotransposons (N-LTRrs) played a key role in shaping the human genome throughout evolution. In this study, we compared retrotransposon insertions differentially present in the genomes of Anatomically Modern Humans, Neanderthals, Denisovans and Chimpanzees, in order to assess the possible impact of retrotransposition in the differentiation of the human lineage. We first identified species-specific N-LTRrs and established their distribution in present day human populations. These analyses shortlisted a group of N-LTRr insertions that were found exclusively in Anatomically Modern Humans. These insertions are associated with an increase in the number of transcriptional/splicing variants of those genes they inserted in. The analysis of the functionality of genes containing human-specific N-LTRr insertions reflects changes that occurred during human evolution. In particular, the expression of genes containing the most recent N-LTRr insertions is enriched in the brain, especially in undifferentiated neurons, and these genes associate in networks related to neuron maturation and migration. Additionally, we identified candidate N-LTRr insertions that have likely produced new functional variants exclusive to modern humans, whose genomic loci show traces of positive selection. Our results strongly suggest that N-LTRr impacted our differentiation as a species, most likely inducing an increase in neural complexity, and have been a constant source of genomic variability all throughout the evolution of the human lineage.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 7 13%
Student > Bachelor 5 9%
Student > Master 5 9%
Student > Doctoral Student 3 6%
Other 7 13%
Unknown 12 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 36%
Biochemistry, Genetics and Molecular Biology 16 30%
Computer Science 2 4%
Mathematics 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 15 June 2019.
All research outputs
#1,676,352
of 25,083,571 outputs
Outputs from Mobile DNA
#19
of 359 outputs
Outputs of similar age
#34,010
of 336,076 outputs
Outputs of similar age from Mobile DNA
#2
of 9 outputs
Altmetric has tracked 25,083,571 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 94% 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 336,076 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 89% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.