Evidence map›Paper›PMID 27345953›Full record

ArticleScientific reports2016

Prevalence and Dynamics of Ribosomal DNA Micro-heterogeneity Are Linked to Population History in Two Contrasting Yeast Species.

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

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. 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

5 authors.

Stephen A JamesNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK.
Claire WestNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK.
Robert P DaveyDigital Biology, Earlham Institute, Norwich Research Park, Norwich, NR4 7UH, UK.
Jo DicksNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK.
Ian N RobertsNational Collection of Yeast Cultures, Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/G00045X/1Biotechnology and Biological Sciences Research Council BBS/E/F/00044440Biotechnology and Biological Sciences Research Council BBS/E/F/00044471
6 · The paper itself

Abstract

Despite the considerable number and taxonomic breadth of past and current genome sequencing projects, many of which necessarily encompass the ribosomal DNA, detailed information on the prevalence and evolutionary significance of sequence variation in this ubiquitous genomic region are severely lacking. Here, we attempt to address this issue in two closely related yet contrasting yeast species, the baker's yeast Saccharomyces cerevisiae and the wild yeast Saccharomyces paradoxus. By drawing on existing datasets from the Saccharomyces Genome Resequencing Project, we identify a rich seam of ribosomal DNA sequence variation, characterising 1,068 and 970 polymorphisms in 34 S. cerevisiae and 26 S. paradoxus strains respectively. We discover the two species sets exhibit distinct mutational profiles. Furthermore, we show for the first time that unresolved rDNA sequence variation resulting from imperfect concerted evolution of the ribosomal DNA region follows a U-shaped allele frequency distribution in each species, similar to loci that evolve under non-concerted mechanisms but arising through rather different evolutionary processes. Finally, we link differences between the shapes of these allele frequency distributions to the two species' contrasting population histories.

Indexed as

DNA, RibosomalEvolution, MolecularGene FrequencyGenome, FungalGenomicsMutationPolymorphism, GeneticPrevalenceSaccharomyces cerevisiaeSequence Analysis, DNADNA, Ribosomal

Identifiers

PMID27345953
PMCPMC4921842

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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.