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Characterizing neutral genomic diversity and selection signatures in indigenous populations of Moroccan goats (Capra hircus) using WGS data

Overview of attention for article published in Frontiers in Genetics, April 2015
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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15 X users
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Citations

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77 Dimensions

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141 Mendeley
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2 CiteULike
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Title
Characterizing neutral genomic diversity and selection signatures in indigenous populations of Moroccan goats (Capra hircus) using WGS data
Published in
Frontiers in Genetics, April 2015
DOI 10.3389/fgene.2015.00107
Pubmed ID
Authors

Badr Benjelloun, Florian J. Alberto, Ian Streeter, Frédéric Boyer, Eric Coissac, Sylvie Stucki, Mohammed BenBati, Mustapha Ibnelbachyr, Mouad Chentouf, Abdelmajid Bechchari, Kevin Leempoel, Adriana Alberti, Stefan Engelen, Abdelkader Chikhi, Laura Clarke, Paul Flicek, Stéphane Joost, Pierre Taberlet, François Pompanon, NextGen Consortium

Abstract

Since the time of their domestication, goats (Capra hircus) have evolved in a large variety of locally adapted populations in response to different human and environmental pressures. In the present era, many indigenous populations are threatened with extinction due to their substitution by cosmopolitan breeds, while they might represent highly valuable genomic resources. It is thus crucial to characterize the neutral and adaptive genetic diversity of indigenous populations. A fine characterization of whole genome variation in farm animals is now possible by using new sequencing technologies. We sequenced the complete genome at 12× coverage of 44 goats geographically representative of the three phenotypically distinct indigenous populations in Morocco. The study of mitochondrial genomes showed a high diversity exclusively restricted to the haplogroup A. The 44 nuclear genomes showed a very high diversity (24 million variants) associated with low linkage disequilibrium. The overall genetic diversity was weakly structured according to geography and phenotypes. When looking for signals of positive selection in each population we identified many candidate genes, several of which gave insights into the metabolic pathways or biological processes involved in the adaptation to local conditions (e.g., panting in warm/desert conditions). This study highlights the interest of WGS data to characterize livestock genomic diversity. It illustrates the valuable genetic richness present in indigenous populations that have to be sustainably managed and may represent valuable genetic resources for the long-term preservation of the species.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
Turkey 1 <1%
Unknown 139 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 18%
Student > Ph. D. Student 24 17%
Student > Master 20 14%
Student > Doctoral Student 13 9%
Student > Bachelor 10 7%
Other 14 10%
Unknown 35 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 40%
Biochemistry, Genetics and Molecular Biology 18 13%
Veterinary Science and Veterinary Medicine 9 6%
Environmental Science 4 3%
Arts and Humanities 2 1%
Other 8 6%
Unknown 43 30%
Attention Score in Context

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 03 June 2015.
All research outputs
#4,537,666
of 26,378,648 outputs
Outputs from Frontiers in Genetics
#1,398
of 13,902 outputs
Outputs of similar age
#52,907
of 280,937 outputs
Outputs of similar age from Frontiers in Genetics
#28
of 135 outputs
Altmetric has tracked 26,378,648 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,902 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 89% 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 280,937 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 81% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.