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Assessing models of speciation under different biogeographic scenarios; an empirical study using multi‐locus and RNA‐seq analyses

Overview of attention for article published in Ecology and Evolution, January 2016
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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9 X users
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Title
Assessing models of speciation under different biogeographic scenarios; an empirical study using multi‐locus and RNA‐seq analyses
Published in
Ecology and Evolution, January 2016
DOI 10.1002/ece3.1865
Pubmed ID
Authors

Taylor Edwards, Marc Tollis, PingHsun Hsieh, Ryan N. Gutenkunst, Zhen Liu, Kenro Kusumi, Melanie Culver, Robert W. Murphy

Abstract

Evolutionary biology often seeks to decipher the drivers of speciation, and much debate persists over the relative importance of isolation and gene flow in the formation of new species. Genetic studies of closely related species can assess if gene flow was present during speciation, because signatures of past introgression often persist in the genome. We test hypotheses on which mechanisms of speciation drove diversity among three distinct lineages of desert tortoise in the genus Gopherus. These lineages offer a powerful system to study speciation, because different biogeographic patterns (physical vs. ecological segregation) are observed at opposing ends of their distributions. We use 82 samples collected from 38 sites, representing the entire species' distribution and generate sequence data for mtDNA and four nuclear loci. A multilocus phylogenetic analysis in *BEAST estimates the species tree. RNA-seq data yield 20,126 synonymous variants from 7665 contigs from two individuals of each of the three lineages. Analyses of these data using the demographic inference package ∂a∂i serve to test the null hypothesis of no gene flow during divergence. The best-fit demographic model for the three taxa is concordant with the *BEAST species tree, and the ∂a∂i analysis does not indicate gene flow among any of the three lineages during their divergence. These analyses suggest that divergence among the lineages occurred in the absence of gene flow and in this scenario the genetic signature of ecological isolation (parapatric model) cannot be differentiated from geographic isolation (allopatric model).

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X Demographics

The data shown below were collected from the profiles of 9 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 12 23%
Student > Master 8 15%
Professor 3 6%
Other 3 6%
Other 8 15%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 60%
Biochemistry, Genetics and Molecular Biology 7 13%
Environmental Science 6 12%
Medicine and Dentistry 1 2%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 January 2022.
All research outputs
#6,332,572
of 25,371,288 outputs
Outputs from Ecology and Evolution
#3,217
of 8,476 outputs
Outputs of similar age
#91,741
of 400,062 outputs
Outputs of similar age from Ecology and Evolution
#46
of 128 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,476 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 61% 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 400,062 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 76% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.