Evidence map›Paper›PMID 19129141›Full record

ArticleProceedings. Biological sciences2009

Lophotrochozoa internal phylogeny: new insights from an up-to-date analysis of nuclear ribosomal genes.

Jordi Paps, Jaume Baguñà, Marta Riutort

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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.

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

37 citing papers in PubMed.

  1. Article
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  5. Why study sleep in flatworms?Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
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  8. The neuroanatomy ofFrontiers in zoology · 2019
    Article
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  10. In-depth proteomic analyses ofProteome science · 2018
    Article
  11. An Overview ofJournal of developmental biology · 2016
    Review
  12. Genome and transcriptome of the regeneration-competent flatworm, Macrostomum lignano.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  13. Article
  14. Review
  15. 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

3 authors.

Jordi PapsDepartament de Genetica, Universitat de Barcelona, Avenida Diagonal, 645, 08028 Barcelona, Spain.
Jaume Baguñà
Marta Riutort

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resolving the relationships among animal phyla is a key biological problem that remains to be solved. Morphology is unable to determine the relationships among most phyla and although molecular data have unveiled a new evolutionary scenario, they have their own limitations. Nuclear ribosomal genes (18S and 28S rDNA) have been used effectively for many years. However, they are considered of limited use for resolving deep divergences such as the origin of the bilaterians, due to certain drawbacks such as the long-branch attraction (LBA) problem. Here, we attempt to overcome these pitfalls by combining several methods suggested in previous studies and routinely used in contemporary standard phylogenetic analyses but that have not yet been applied to any bilaterian phylogeny based on these genes. The methods used include maximum likelihood and Bayesian inference, the application of models with rate heterogeneity across sites, wide taxon sampling and compartmentalized analyses for each problematic clade. The results obtained show that the combination of the above-mentioned methodologies minimizes the LBA effect, and a new Lophotrochozoa phylogeny emerges. Also, the Acoela and Nemertodermatida are confirmed with maximum support as the first branching bilaterians. Ribosomal RNA genes are thus a reliable source for the study of deep divergences in the metazoan tree, provided that the data are treated carefully.

Indexed as

PhylogenyAnimalsInvertebratesRNA, NuclearRNA, Nuclear

Identifiers

PMID19129141
PMCPMC2660960

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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.