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Phylogenetic and Coalescent Strategies of Species Delimitation in Snubnose Darters (Percidae: Etheostoma)

Overview of attention for article published in Systematic Biology, August 2011
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Phylogenetic and Coalescent Strategies of Species Delimitation in Snubnose Darters (Percidae: Etheostoma)
Published in
Systematic Biology, August 2011
DOI 10.1093/sysbio/syr077
Pubmed ID

Richard C. Harrington, Thomas J. Near


The rapid accumulation of multilocus data sets has led to dramatic advances in methodologies for estimating evolutionary relationships among closely related species, but relatively less advancement has been made in methods for discriminating between competing species delimitation hypotheses. Multilocus data sets provide an advantage in testing species delimitation scenarios because they offer a direct test of species monophyly and aid in the biological interpretation of such phenomena as allele-sharing and deep coalescent events. Most species tree estimation methods that are designed to analyze multilocus data sets require the a priori assignment of individuals to species categories and therefore do not provide a strategy to directly test competing species delimitation scenarios. An approach was recently proposed that utilizes a coalescent-based species tree estimation method to inform species delimitation decisions by comparing likelihood scores that measure the fit of gene trees within a given species tree. We use a multilocus nuclear and mitochondrial DNA sequence data set to both reexamine a recently proposed species delimitation scenario in the Etheostoma simoterum species complex and test the utility of species tree estimation methods in testing species delimitation hypotheses. Descriptions of species in the E. simoterum species complex of snubnose darters, a group of six teleost freshwater fish species, are based largely on male nuptial coloration. Most of the putative species are nonmonophyletic at every examined locus. Using a novel combination of Bayesian-estimated gene tree topologies, Bayesian phylogenetic species tree inferences, coalescent simulations, and examination of phenotypic variation, we assess the occurrence of shared alleles among species, and we propose that results from our analyses support a three-species rather than a six-species delimitation scenario in the E. simoterum complex. We found that comparing likelihood scores from the species tree estimation approach used across many potential delimitation scenarios resulted in a systematic bias toward over-splitting in the E. simoterum complex and failed to support a species delimitation scenario that was consistent with geography, phenotype, or any previous species delimitation hypothesis. Despite common expectations, we demonstrate that application of molecular approaches to species delimitation can result in the recognition of fewer, instead of a larger number of species. In addition, our analyses highlight the importance of phenotypic character information in providing an independent assessment of alternative species delimitation hypotheses in the E. simoterum species complex.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 5%
Brazil 5 3%
Spain 4 2%
United Kingdom 3 2%
Czechia 1 <1%
Uruguay 1 <1%
India 1 <1%
France 1 <1%
Unknown 145 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 27%
Researcher 39 23%
Professor > Associate Professor 16 9%
Student > Master 14 8%
Professor 12 7%
Other 33 19%
Unknown 10 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 143 84%
Biochemistry, Genetics and Molecular Biology 7 4%
Environmental Science 3 2%
Mathematics 2 1%
Business, Management and Accounting 1 <1%
Other 2 1%
Unknown 12 7%
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 September 2012.
All research outputs
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Outputs from Systematic Biology
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Outputs of similar age
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Outputs of similar age from Systematic Biology
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Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,873 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 54% 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 131,659 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 72% of its contemporaries.
We're also able to compare this research output to 24 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 54% of its contemporaries.