Evidence map›Paper›PMID 23185439›Full record

ArticlePloS one2012

Re-mind the gap! Insertion - deletion data reveal neglected phylogenetic potential of the nuclear ribosomal internal transcribed spacer (ITS) of fungi.

László G Nagy, Sándor Kocsubé, Zoltán Csanádi, Gábor M Kovács, Tamás Petkovits, Csaba Vágvölgyi, Tamás Papp

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Review
  2. Taxonomy and phylogeny ofPersoonia · 2025
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  10. New Glomeromycotan Taxa,Frontiers in microbiology · 2021
    Article
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  12. Classification ofStudies in mycology · 2020
    Article
  13. Article
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  15. Article
  16. Addressing the diversity ofIMA fungus · 2019
    Article
  17. Article
  18. Split-inducing indels in phylogenomic analysis.Algorithms for molecular biology : AMB · 2018
    Article
  19. Persoonia · 2017
    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

7 authors.

László G NagyUniversity of Szeged, Faculty of Science and Informatics, Department of Microbiology, Szeged, Hungary. cortinarius2000@yahoo.co.uk
Sándor Kocsubé
Zoltán Csanádi
Gábor M Kovács
Tamás Petkovits
Csaba Vágvölgyi
Tamás Papp

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapidly evolving, indel-rich phylogenetic markers play a pivotal role in our understanding of the relationships at multiple levels of the tree of life. There is extensive evidence that indels provide conserved phylogenetic signal, however, the range of phylogenetic depths for which gaps retain tree signal has not been investigated in detail. Here we address this question using the fungal internal transcribed spacer (ITS), which is central in many phylogenetic studies, molecular ecology, detection and identification of pathogenic and non-pathogenic species. ITS is repeatedly criticized for indel-induced alignment problems and the lack of phylogenetic resolution above species level, although these have not been critically investigated. In this study, we examined whether the inclusion of gap characters in the analyses shifts the phylogenetic utility of ITS alignments towards earlier divergences. By re-analyzing 115 published fungal ITS alignments, we found that indels are slightly more conserved than nucleotide substitutions, and when included in phylogenetic analyses, improved the resolution and branch support of phylogenies across an array of taxonomic ranges and extended the resolving power of ITS towards earlier nodes of phylogenetic trees. Our results reconcile previous contradicting evidence for the effects of data exclusion: in the case of more sophisticated indel placement, the exclusion of indel-rich regions from the analyses results in a loss of tree resolution, whereas in the case of simpler alignment methods, the exclusion of gapped sites improves it. Although the empirical datasets do not provide to measure alignment accuracy objectively, our results for the ITS region are consistent with previous simulations studies alignment algorithms. We suggest that sophisticated alignment algorithms and the inclusion of indels make the ITS region and potentially other rapidly evolving indel-rich loci valuable sources of phylogenetic information, which can be exploited at multiple taxonomic levels.

Indexed as

Sequence AlignmentAlgorithmsDNA, Ribosomal SpacerEvolution, MolecularFungiINDEL MutationPhylogenyRibosomesDNA, Ribosomal Spacer

Identifiers

PMID23185439
PMCPMC3501463

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LicenceCC BY
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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.