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Fine-scale genetic structure among greater sage-grouse leks in central Nevada

Overview of attention for article published in BMC Ecology and Evolution, June 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

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8 X users

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Title
Fine-scale genetic structure among greater sage-grouse leks in central Nevada
Published in
BMC Ecology and Evolution, June 2016
DOI 10.1186/s12862-016-0702-4
Pubmed ID
Authors

Joshua P. Jahner, Daniel Gibson, Chava L. Weitzman, Erik J. Blomberg, James S. Sedinger, Thomas L. Parchman

Abstract

Mating systems that reduce dispersal and lead to non-random mating might increase the potential for genetic structure to arise at fine geographic scales. Greater sage-grouse (Centrocercus urophasianus) have a lek-based mating system and exhibit high site fidelity and skewed mating ratios. We quantified population structure by analyzing variation at 27,866 single-nucleotide polymorphisms in 140 males from ten leks (within five lek complexes) occurring in a small geographic region in central Nevada. Lek complexes, and to a lesser extent individual leks, formed statistically identifiable clusters in ordination analyses, providing evidence for fine-scale geographic genetic differentiation. Lek geography predicted genetic differentiation even at a small geographic scale, which could be sharpened by strong site fidelity. Relatedness was also higher among individuals within lek complexes (and leks), suggesting that reproductive skew, where few males participate in most of the successful matings, could also potentially contribute to genetic differentiation. Models incorporating a habitat resistance surface as a proxy for potentially reduced movement due to landscape features indicated that both geographic distance and habitat suitability (i.e. preferred habitat) predicted genetic structure, with no significant effect of man-made barriers to movement (i.e. power lines and roads). Finally, we illustrate how data sets containing fewer loci (<4000) had less statistical precision and failed to detect the full degree of genetic structure. Our results suggest that habitat features and lek site geography of sage-grouse shape fine scale genetic structure, and highlight how larger data sets can have increased precision and accuracy for quantifying ecologically relevant genetic structure over small geographic scales.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 22%
Researcher 11 19%
Student > Ph. D. Student 11 19%
Student > Doctoral Student 3 5%
Professor > Associate Professor 3 5%
Other 8 14%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 36%
Environmental Science 8 14%
Biochemistry, Genetics and Molecular Biology 7 12%
Unspecified 2 3%
Computer Science 2 3%
Other 4 7%
Unknown 14 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 August 2017.
All research outputs
#7,205,554
of 25,374,917 outputs
Outputs from BMC Ecology and Evolution
#1,633
of 3,714 outputs
Outputs of similar age
#111,875
of 368,451 outputs
Outputs of similar age from BMC Ecology and Evolution
#39
of 76 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 55% 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 368,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.