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Expanding anchored hybrid enrichment to resolve both deep and shallow relationships within the spider tree of life

Overview of attention for article published in BMC Ecology and Evolution, October 2016
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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19 X users
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1 Wikipedia page

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151 Dimensions

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139 Mendeley
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Title
Expanding anchored hybrid enrichment to resolve both deep and shallow relationships within the spider tree of life
Published in
BMC Ecology and Evolution, October 2016
DOI 10.1186/s12862-016-0769-y
Pubmed ID
Authors

Chris A. Hamilton, Alan R. Lemmon, Emily Moriarty Lemmon, Jason E. Bond

Abstract

Despite considerable effort, progress in spider molecular systematics has lagged behind many other comparable arthropod groups, thereby hindering family-level resolution, classification, and testing of important macroevolutionary hypotheses. Recently, alternative targeted sequence capture techniques have provided molecular systematics a powerful tool for resolving relationships across the Tree of Life. One of these approaches, Anchored Hybrid Enrichment (AHE), is designed to recover hundreds of unique orthologous loci from across the genome, for resolving both shallow and deep-scale evolutionary relationships within non-model systems. Herein we present a modification of the AHE approach that expands its use for application in spiders, with a particular emphasis on the infraorder Mygalomorphae. Our aim was to design a set of probes that effectively capture loci informative at a diversity of phylogenetic timescales. Following identification of putative arthropod-wide loci, we utilized homologous transcriptome sequences from 17 species across all spiders to identify exon boundaries. Conserved regions with variable flanking regions were then sought across the tick genome, three published araneomorph spider genomes, and raw genomic reads of two mygalomorph taxa. Following development of the 585 target loci in the Spider Probe Kit, we applied AHE across three taxonomic depths to evaluate performance: deep-level spider family relationships (33 taxa, 327 loci); family and generic relationships within the mygalomorph family Euctenizidae (25 taxa, 403 loci); and species relationships in the North American tarantula genus Aphonopelma (83 taxa, 581 loci). At the deepest level, all three major spider lineages (the Mesothelae, Mygalomorphae, and Araneomorphae) were supported with high bootstrap support. Strong support was also found throughout the Euctenizidae, including generic relationships within the family and species relationships within the genus Aptostichus. As in the Euctenizidae, virtually identical topologies were inferred with high support throughout Aphonopelma. The Spider Probe Kit, the first implementation of AHE methodology in Class Arachnida, holds great promise for gathering the types and quantities of molecular data needed to accelerate an understanding of the spider Tree of Life by providing a mechanism whereby different researchers can confidently and effectively use the same loci for independent projects, yet allowing synthesis of data across independent research groups.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Mexico 1 <1%
Germany 1 <1%
Australia 1 <1%
Unknown 133 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 26%
Student > Master 22 16%
Researcher 21 15%
Student > Bachelor 13 9%
Other 8 6%
Other 22 16%
Unknown 17 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 53%
Biochemistry, Genetics and Molecular Biology 21 15%
Environmental Science 13 9%
Medicine and Dentistry 3 2%
Arts and Humanities 2 1%
Other 5 4%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 19 December 2023.
All research outputs
#2,831,941
of 25,516,314 outputs
Outputs from BMC Ecology and Evolution
#752
of 3,717 outputs
Outputs of similar age
#46,554
of 326,099 outputs
Outputs of similar age from BMC Ecology and Evolution
#25
of 91 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,717 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 done well, scoring higher than 79% 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 326,099 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 85% of its contemporaries.
We're also able to compare this research output to 91 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 73% of its contemporaries.