Evidence map›Paper›PMID 28400424›Full record

ArticleGenome research2017

Increased taxon sampling reveals thousands of hidden orthologs in flatworms.

José M Martín-Durán, Joseph F Ryan, Bruno C Vellutini, Kevin Pang, Andreas Hejnol

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Incongruence in the phylogenomics era.Nature reviews. Genetics · 2023
    Review
  8. Review
  9. Article
  10. Article
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  12. Building Phylogenies from Transcriptomic Data.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. The Evolutionary Traceability of a Protein.Genome biology and evolution · 2019
    Article
  20. Article
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

5 authors at 2 institutions in 2 countries.

José M Martín-DuránSars International Centre for Marine Molecular Biology, University of Bergen, Bergen 5006, Norway.ORCID 0000-0002-2572-1061
Joseph F RyanSars International Centre for Marine Molecular Biology, University of Bergen, Bergen 5006, Norway.ORCID 0000-0001-5478-0522
Bruno C VellutiniSars International Centre for Marine Molecular Biology, University of Bergen, Bergen 5006, Norway.ORCID 0000-0002-0000-9465
Kevin PangSars International Centre for Marine Molecular Biology, University of Bergen, Bergen 5006, Norway.ORCID 0000-0002-2365-9022
Andreas HejnolSars International Centre for Marine Molecular Biology, University of Bergen, Bergen 5006, Norway.ORCID 0000-0003-2196-8507
University of Bergen · NOUniversity of Florida · US

Funding

European Research Council 648861
6 · The paper itself

Abstract

Gains and losses shape the gene complement of animal lineages and are a fundamental aspect of genomic evolution. Acquiring a comprehensive view of the evolution of gene repertoires is limited by the intrinsic limitations of common sequence similarity searches and available databases. Thus, a subset of the gene complement of an organism consists of hidden orthologs, i.e., those with no apparent homology to sequenced animal lineages-mistakenly considered new genes-but actually representing rapidly evolving orthologs or undetected paralogs. Here, we describe Leapfrog, a simple automated BLAST pipeline that leverages increased taxon sampling to overcome long evolutionary distances and identify putative hidden orthologs in large transcriptomic databases by transitive homology. As a case study, we used 35 transcriptomes of 29 flatworm lineages to recover 3427 putative hidden orthologs, some unidentified by OrthoFinder and HaMStR, two common orthogroup inference algorithms. Unexpectedly, we do not observe a correlation between the number of putative hidden orthologs in a lineage and its "average" evolutionary rate. Hidden orthologs do not show unusual sequence composition biases that might account for systematic errors in sequence similarity searches. Instead, gene duplication with divergence of one paralog and weak positive selection appear to underlie hidden orthology in Platyhelminthes. By using Leapfrog, we identify key centrosome-related genes and homeodomain classes previously reported as absent in free-living flatworms, e.g., planarians. Altogether, our findings demonstrate that hidden orthologs comprise a significant proportion of the gene repertoire in flatworms, qualifying the impact of gene losses and gains in gene complement evolution.

Indexed as

Databases, Nucleic AcidGenes, HelminthTranscriptomeAnimalsPlatyhelminths

Identifiers

PMID28400424
PMCPMC5495077
OpenAlexW2950735235

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.