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Genomic analyses identify multiple Asian origins and deeply diverged mitochondrial clades in inbred brown rats (Rattus norvegicus)

Overview of attention for article published in Evolutionary Applications, December 2017
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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)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Article details
Title
Genomic analyses identify multiple Asian origins and deeply diverged mitochondrial clades in inbred brown rats (Rattus norvegicus)
Published in
Evolutionary Applications, December 2017
DOI 10.1111/eva.12572
Pubmed ID
Authors

Emily E. Puckett, Olivia Micci‐Smith, Jason Munshi‐South

Abstract

Over 500 strains of inbred brown rats (Rattus norvegicus) have been developed for use as a biomedical model organism. Most of these inbred lines were derived from the colony established at the Wistar Institute in 1906 or its descendants following worldwide distribution to research and breeding centers. The geographic source of the animals that founded the Wistar colony has been lost to history; thus, we compared 25 inbred rat strains to 326 wild rats from a global diversity dataset at 32 k SNPs, and 47 mitochondrial genomes to identify the source populations. We analyzed nuclear genomic data using principal component analyses and co-ancestry heat maps, and mitogenomes using phylogenetic trees and networks. In the nuclear genome, inbred rats clustered together indicating a single geographic origin for the strains studied and showed admixed ancestral variation with wild rats in eastern Asia and western North America. The Sprague Dawley derived, Wistar derived, and Brown Norway strains each had mitogenomes from different clades which diverged between 13 and 139 kya. Thus, we posit that rats originally collected for captive breeding had high mitochondrial diversity that became fixed through genetic drift and/or artificial selection. Our results show that these important medical models share common genomic ancestry from a few source populations, and opportunities exist to create new strains with diverse genomic backgrounds to provide novel insight into the genomic basis of disease phenotypes.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Bachelor 5 17%
Student > Master 3 10%
Researcher 2 7%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 12 41%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 24%
Biochemistry, Genetics and Molecular Biology 4 14%
Medicine and Dentistry 2 7%
Environmental Science 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 13 45%
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 08 June 2018.
All research outputs
#4,033,956
of 28,829,220 outputs
Outputs from Evolutionary Applications
#489
of 1,696 outputs
Outputs of similar age
#73,411
of 457,502 outputs
Outputs of similar age from Evolutionary Applications
#10
of 42 outputs
Altmetric has tracked 28,829,220 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,696 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has gotten more attention than average, scoring higher than 71% 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 457,502 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 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.