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Prevalence and Dynamics of Ribosomal DNA Micro-heterogeneity Are Linked to Population History in Two Contrasting Yeast Species. Sci Rep 2016; 6:28555. [PMID: 27345953 PMCID: PMC4921842 DOI: 10.1038/srep28555] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Accepted: 05/31/2016] [Indexed: 11/16/2022] Open
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.
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West C, James SA, Davey RP, Dicks J, Roberts IN. Ribosomal DNA sequence heterogeneity reflects intraspecies phylogenies and predicts genome structure in two contrasting yeast species. Syst Biol 2014; 63:543-54. [PMID: 24682414 PMCID: PMC4055870 DOI: 10.1093/sysbio/syu019] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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]
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Affiliation(s)
- Claire West
- National 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 James
- National 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 Davey
- National 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 Dicks
- National 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 Roberts
- National 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
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