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      Rapid Evolution of Enormous, Multichromosomal Genomes in Flowering Plant Mitochondria with Exceptionally High Mutation Rates

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          Abstract

          A pair of species within the genus Silene have evolved the largest known mitochondrial genomes, coinciding with extreme changes in mutation rate, recombination activity, and genome structure.

          Abstract

          Genome size and complexity vary tremendously among eukaryotic species and their organelles. Comparisons across deeply divergent eukaryotic lineages have suggested that variation in mutation rates may explain this diversity, with increased mutational burdens favoring reduced genome size and complexity. The discovery that mitochondrial mutation rates can differ by orders of magnitude among closely related angiosperm species presents a unique opportunity to test this hypothesis. We sequenced the mitochondrial genomes from two species in the angiosperm genus Silene with recent and dramatic accelerations in their mitochondrial mutation rates. Contrary to theoretical predictions, these genomes have experienced a massive proliferation of noncoding content. At 6.7 and 11.3 Mb, they are by far the largest known mitochondrial genomes, larger than most bacterial genomes and even some nuclear genomes. In contrast, two slowly evolving Silene mitochondrial genomes are smaller than average for angiosperms. Consequently, this genus captures approximately 98% of known variation in organelle genome size. The expanded genomes reveal several architectural changes, including the evolution of complex multichromosomal structures (with 59 and 128 circular-mapping chromosomes, ranging in size from 44 to 192 kb). They also exhibit a substantial reduction in recombination and gene conversion activity as measured by the relative frequency of alternative genome conformations and the level of sequence divergence between repeat copies. The evolution of mutation rate, genome size, and chromosome structure can therefore be extremely rapid and interrelated in ways not predicted by current evolutionary theories. Our results raise the hypothesis that changes in recombinational processes, including gene conversion, may be a central force driving the evolution of both mutation rate and genome structure.

          Author Summary

          A fundamental challenge in evolutionary biology is to explain why organisms exhibit dramatic variation in genome size and complexity. One hypothesis predicts that high rates of mutation in DNA sequence create selection against large and complex genomes, which are more susceptible to mutational disruption. Species of flowering plants in the genus Silene vary by approximately 100-fold in the rates of mutation in their mitochondrial DNA, providing an excellent opportunity to test the predicted effects of high mutation rates on genome evolution. Contrary to expectation, Silene species with elevated mutation rates have experienced dramatic expansions in mitochondrial genome size compared to their slowly evolving relatives, resulting in the largest known mitochondrial genomes. In addition to the increases in size and mutation rate, these genomes also reveal a history of rapid change in genome structure. They have been fragmented into dozens of chromosomes and appear to have experienced major reductions in recombination activity. All of these changes have occurred in just the past few million years. This mitochondrial genome diversity within the genus Silene provides a striking example of rapid genomic change and raises new hypotheses regarding the relationship between mutation rate and genome evolution.

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          Most cited references111

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          Consed: a graphical tool for sequence finishing.

          Sequencing of large clones or small genomes is generally done by the shotgun approach (Anderson et al. 1982). This has two phases: (1) a shotgun phase in which a number of reads are generated from random subclones and assembled into contigs, followed by (2) a directed, or finishing phase in which the assembly is inspected for correctness and for various kinds of data anomalies (such as contaminant reads, unremoved vector sequence, and chimeric or deleted reads), additional data are collected to close gaps and resolve low quality regions, and editing is performed to correct assembly or base-calling errors. Finishing is currently a bottleneck in large-scale sequencing efforts, and throughput gains will depend both on reducing the need for human intervention and making it as efficient as possible. We have developed a finishing tool, consed, which attempts to implement these principles. A distinguishing feature relative to other programs is the use of error probabilities from our programs phred and phrap as an objective criterion to guide the entire finishing process. More information is available at http:// www.genome.washington.edu/consed/consed. html.
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            Selfish genes, the phenotype paradigm and genome evolution.

            Natural selection operating within genomes will inevitably result in the appearance of DNAs with no phenotypic expression whose only 'function' is survival within genomes. Prokaryotic transposable elements and eukaryotic middle-repetitive sequences can be seen as such DNA's and thus no phenotypic or evolutionary function need be assigned to them.
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              Rates of nucleotide substitution vary greatly among plant mitochondrial, chloroplast, and nuclear DNAs.

              Comparison of plant mitochondrial (mt), chloroplast (cp) and nuclear (n) DNA sequences shows that the silent substitution rate in mtDNA is less than one-third that in cpDNA, which in turn evolves only half as fast as plant nDNA. The slower rate in mtDNA than in cpDNA is probably due to a lower mutation rate. Silent substitution rates in plant and mammalian mtDNAs differ by one or two orders of magnitude, whereas the rates in nDNAs may be similar. In cpDNA, the rate of substitution both at synonymous sites and in noncoding sequences in the inverted repeat is greatly reduced in comparison to single-copy sequences. The rate of cpDNA evolution appears to have slowed in some dicot lineages following the monocot/dicot split, and the slowdown is more conspicuous at nonsynonymous sites than at synonymous sites.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, USA )
                1544-9173
                1545-7885
                January 2012
                January 2012
                17 January 2012
                : 10
                : 1
                : e1001241
                Affiliations
                [1 ]Department of Biology, University of Virginia, Charlottesville, Virginia, United States of America
                [2 ]Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, United States of America
                [3 ]Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
                [4 ]Department of Biology, Indiana University, Bloomington, Indiana, United States of America
                Dalhousie University, Canada
                Author notes

                The author(s) have made the following declarations about their contributions: Conceived and designed the experiments: DBS AJA MW DEM JDP DRT. Performed the experiments: DBS AJA JPC DEM. Analyzed the data: DBS AJA MW. Wrote the paper: DBS AJA JDP DRT.

                ¤: Current address: Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut

                Article
                PBIOLOGY-D-11-02248
                10.1371/journal.pbio.1001241
                3260318
                22272183
                82cb1ae0-fdac-4de6-bdfb-c12d3fcaa8c7
                Sloan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 2 June 2011
                : 30 November 2011
                Page count
                Pages: 17
                Categories
                Research Article
                Biology
                Evolutionary Biology
                Genomics

                Life sciences
                Life sciences

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