Evidence map›Paper›PMID 25880916›Full record

ArticleBMC evolutionary biology2015

Evaluating the performance of anchored hybrid enrichment at the tips of the tree of life: a phylogenetic analysis of Australian Eugongylus group scincid lizards.

Matthew C Brandley, Jason G Bragg, Sonal Singhal, David G Chapple, Charlotte K Jennings, Alan R Lemmon, Emily Moriarty Lemmon, Michael B Thompson, Craig Moritz

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Genome Evolution and the Future of Phylogenomics of Non-Avian Reptiles.Animals : an open access journal from MDPI · 2023
    Review
  6. Comparing the potential for maternal-fetal signalling in oviparous and viviparous lizards.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
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  12. Article
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  14. Article
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  18. Reticulation, divergence, and the phylogeography-phylogenetics continuum.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Matthew C BrandleySchool of Biological Sciences, Heydon-Laurence Building A08, University of Sydney, Sydney, NSW, 2006, Australia. mbrandley@gmail.com.
Jason G BraggResearch School of Biology and Centre for Biodiversity Analysis, The Australian National University, Canberra, ACT 0200, Australia. jason.bragg@anu.edu.au.
Sonal SinghalMuseum of Vertebrate Zoology, University of California, 3101 Valley Life Sciences Building, Berkeley, CA, 94720, USA. sonal.singhal1@gmail.com.
David G ChappleSchool of Biological Sciences, Monash University, Clayton, Melbourne, VIC, 3800, Australia. david.chapple@monash.edu.
Charlotte K JenningsMuseum of Vertebrate Zoology, University of California, 3101 Valley Life Sciences Building, Berkeley, CA, 94720, USA. cjennings@berkeley.edu.
Alan R LemmonDepartment of Scientific Computing, Florida State University, Dirac Science Library, Tallahassee, FL, 32306, USA. arlemmon@gmail.com.
Emily Moriarty LemmonDepartment of Biological Science, Florida State University, 319 Stadium Drive, PO Box 3064295, Tallahassee, FL, 32306, USA. chorusfrog@bio.fsu.edu.
Michael B ThompsonSchool of Biological Sciences, Heydon-Laurence Building A08, University of Sydney, Sydney, NSW, 2006, Australia. mike.thompson@sydney.edu.au.
Craig MoritzResearch School of Biology and Centre for Biodiversity Analysis, The Australian National University, Canberra, ACT 0200, Australia. craig.moritz@anu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-throughput sequencing using targeted enrichment and transcriptomic methods enables rapid construction of phylogenomic data sets incorporating hundreds to thousands of loci. These advances have enabled access to an unprecedented amount of nucleotide sequence data, but they also pose new questions. Given that the loci targeted for enrichment are often highly conserved, how informative are they at different taxonomic scales, especially at the intraspecific/phylogeographic scale? We investigate this question using Australian scincid lizards in the Eugongylus group (Squamata: Scincidae). We sequenced 415 anchored hybrid enriched (AHE) loci for 43 individuals and mined 1650 exons (1648 loci) from transcriptomes (transcriptome mining) from 11 individuals, including multiple phylogeographic lineages within several species of Carlia, Lampropholis, and Saproscincus skinks. We assessed the phylogenetic information content of these loci at the intergeneric, interspecific, and phylogeographic scales. As a further test of the utility at the phylogeographic scale, we used the anchor hybrid enriched loci to infer lineage divergence parameters using coalescent models of isolation with migration.

resultsPhylogenetic analyses of both data sets inferred very strongly supported trees at all taxonomic levels. Further, AHE loci yielded estimates of divergence times between closely related lineages that were broadly consistent with previous population-level analyses.

conclusionsAnchored-enriched loci are useful at the deep phylogeny and phylogeographic scales. Although overall phylogenetic support was high throughout the Australian Eugongylus group phylogeny, there were nonetheless some conflicting or unresolved relationships, especially regarding the placement of Pseudemoia, Cryptoblepharus, and the relationships amongst closely-related species of Tasmanian Niveoscincus skinks.

Indexed as

AnimalsAustraliaEvolution, MolecularLizardsPhylogenyPhylogeographySequence Analysis, DNA

Identifiers

PMID25880916
PMCPMC4434831

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.