Evidence map›Paper›PMID 24682414›Full record

ArticleSystematic biology2014

Ribosomal DNA sequence heterogeneity reflects intraspecies phylogenies and predicts genome structure in two contrasting yeast species.

Claire West, Stephen A James, Robert P Davey, Jo Dicks, Ian N Roberts

Open access · hybridAbstract read
In one paragraph

Article in Systematic biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Ribosome-associated proteins: unwRAPping ribosome heterogeneity in the twenty-first century.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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  13. Early Ongoing Speciation ofFrontiers in microbiology · 2018
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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

5 authors at 3 institutions in 1 country.

Claire WestNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK; Bioinformatics, The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK.
Stephen A JamesNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK; Bioinformatics, The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK.
Robert P DaveyNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK; Bioinformatics, The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UKNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK; Bioinformatics, The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK.
Jo DicksNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK; Bioinformatics, The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UKNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK; Bioinformatics, The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK.
Ian N RobertsNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich NR4 7UA, UK; Bioinformatics, The Genome Analysis Centre, Norwich Research Park, Norwich NR4 7UH, UK; Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK ian.roberts@ifr.ac.uk.
Norwich Research Park · GBJohn Innes Centre · GBQuadram Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G00045X/1
6 · The paper itself

Abstract

The ribosomal RNA encapsulates a wealth of evolutionary information, including genetic variation that can be used to discriminate between organisms at a wide range of taxonomic levels. For example, the prokaryotic 16S rDNA sequence is very widely used both in phylogenetic studies and as a marker in metagenomic surveys and the internal transcribed spacer region, frequently used in plant phylogenetics, is now recognized as a fungal DNA barcode. However, this widespread use does not escape criticism, principally due to issues such as difficulties in classification of paralogous versus orthologous rDNA units and intragenomic variation, both of which may be significant barriers to accurate phylogenetic inference. We recently analyzed data sets from the Saccharomyces Genome Resequencing Project, characterizing rDNA sequence variation within multiple strains of the baker's yeast Saccharomyces cerevisiae and its nearest wild relative Saccharomyces paradoxus in unprecedented detail. Notably, both species possess single locus rDNA systems. Here, we use these new variation datasets to assess whether a more detailed characterization of the rDNA locus can alleviate the second of these phylogenetic issues, sequence heterogeneity, while controlling for the first. We demonstrate that a strong phylogenetic signal exists within both datasets and illustrate how they can be used, with existing methodology, to estimate intraspecies phylogenies of yeast strains consistent with those derived from whole-genome approaches. We also describe the use of partial Single Nucleotide Polymorphisms, a type of sequence variation found only in repetitive genomic regions, in identifying key evolutionary features such as genome hybridization events and show their consistency with whole-genome Structure analyses. We conclude that our approach can transform rDNA sequence heterogeneity from a problem to a useful source of evolutionary information, enabling the estimation of highly accurate phylogenies of closely related organisms, and discuss how it could be extended to future studies of multilocus rDNA systems. [concerted evolution; genome hydridisation; phylogenetic analysis; ribosomal DNA; whole genome sequencing; yeast].

Indexed as

Genetic HeterogeneityPhylogenyDNA, FungalDNA, RibosomalGenetic VariationGenome, FungalPolymorphism, Single NucleotideSaccharomycesDNA, FungalDNA, Ribosomal

Identifiers

PMID24682414
PMCPMC4055870
OpenAlexW2172269594

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.