Evidence map›Paper›PMID 23175716›Full record

ArticleGenome biology and evolution2012

Insect phylogenomics: exploring the source of incongruence using new transcriptomic data.

Sabrina Simon, Apurva Narechania, Rob Desalle, Heike Hadrys

Abstract read
In one paragraph

Article in Genome biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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.

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
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  8. Integrating morphology and phylogenomics supports a terrestrial origin of insect flight.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Insect phylogenomics.Insect molecular biology · 2015
    Review
  14. Article
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  16. Article
  17. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sabrina SimonITZ, Ecology & Evolution, Stiftung Tieraerztliche Hochschule Hannover, Hannover, Germany. ssimon@amnh.org
Apurva Narechania
Rob Desalle
Heike Hadrys

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of the diverse insect lineages is one of the most fascinating issues in evolutionary biology. Despite extensive research in this area, the resolution of insect phylogeny especially of interordinal relationships has turned out to be still a great challenge. One of the challenges for insect systematics is the radiation of the polyneopteran lineages with several contradictory and/or unresolved relationships. Here, we provide the first transcriptomic data for three enigmatic polyneopteran orders (Dermaptera, Plecoptera, and Zoraptera) to clarify one of the most debated issues among higher insect systematics. We applied different approaches to generate 3 data sets comprising 78 species and 1,579 clusters of orthologous genes. Using these three matrices, we explored several key mechanistic problems of phylogenetic reconstruction including missing data, matrix selection, gene and taxa number/choice, and the biological function of the genes. Based on the first phylogenomic approach including these three ambiguous polyneopteran orders, we provide here conclusive support for monophyletic Polyneoptera, contesting the hypothesis of Zoraptera + Paraneoptera and Plecoptera + remaining Neoptera. In addition, we employ various approaches to evaluate data quality and highlight problematic nodes within the Insect Tree that still exist despite our phylogenomic approach. We further show how the support for these nodes or alternative hypotheses might depend on the taxon- and/or gene-sampling.

Indexed as

Genome, InsectPhylogenyTranscriptomeAnimalsClassificationEvolution, MolecularGenomicsInsecta

Identifiers

PMID23175716
PMCPMC3542558

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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.