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Multilocus species trees and species delimitation in a temporal context: application to the water shrews of the genus Neomys

Overview of attention for article published in BMC Ecology and Evolution, September 2015
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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 (59th percentile)

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Title
Multilocus species trees and species delimitation in a temporal context: application to the water shrews of the genus Neomys
Published in
BMC Ecology and Evolution, September 2015
DOI 10.1186/s12862-015-0485-z
Pubmed ID
Authors

Javier Igea, Pere Aymerich, Anna A. Bannikova, Joaquim Gosálbez, Jose Castresana

Abstract

Multilocus data are becoming increasingly important in determining the phylogeny of closely related species and delimiting species. In species complexes where unequivocal fossil calibrations are not available, rigorous dating of the coalescence-based species trees requires accurate mutation rates of the loci under study but, generally, these rates are unknown. Here, we obtained lineage-specific mutation rates of these loci from a higher-level phylogeny with a reliable fossil record and investigated how different choices of mutation rates and species tree models affected the split time estimates. We implemented this strategy with a genus of water shrews, Neomys, whose taxonomy has been contentious over the last century. We sequenced 13 introns and cytochrome b from specimens of the three species currently recognized in this genus including two subspecies of N. anomalus that were originally described as species. A Bayesian multilocus species delimitation method and estimation of gene flow supported that these subspecies are distinct evolutionary lineages that should be treated as distinct species: N. anomalus (sensu stricto), limited to part of the Iberian Peninsula, and N. milleri, with a larger Eurasian range. We then estimated mutation rates from a Bayesian relaxed clock analysis of the mammalian orthologues with several fossil calibrations. Next, using the estimated Neomys-specific rates for each locus in an isolation-with-migration model, the split time for these sister taxa was dated at 0.40 Myr ago (with a 95 % confidence interval of 0.26 - 0.86 Myr), likely coinciding with one of the major glaciations of the Middle Pleistocene. We also showed that the extrapolation of non-specific rates or the use of simpler models would lead to very different split time estimates. We showed that the estimation of rigorous lineage-specific mutation rates for each locus allows the inference of robust split times in a species tree framework. These times, in turn, afford a better understanding of the timeframe required to achieve isolation and, eventually, speciation in sister lineages. The application of species delimitation methods and an accurate dating strategy to the genus Neomys helped to clarify its controversial taxonomy.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Portugal 1 1%
Argentina 1 1%
Unknown 67 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 13 18%
Student > Master 11 15%
Other 5 7%
Professor 4 6%
Other 12 17%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 63%
Biochemistry, Genetics and Molecular Biology 11 15%
Earth and Planetary Sciences 3 4%
Computer Science 2 3%
Unspecified 1 1%
Other 1 1%
Unknown 8 11%
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 24 February 2023.
All research outputs
#6,929,388
of 25,371,288 outputs
Outputs from BMC Ecology and Evolution
#1,545
of 3,714 outputs
Outputs of similar age
#77,041
of 286,192 outputs
Outputs of similar age from BMC Ecology and Evolution
#32
of 79 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 72nd 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 57% 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 286,192 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 79 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 59% of its contemporaries.