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      Heteroplasmy Is Rare in Plant Mitochondria Compared with Plastids despite Similar Mutation Rates

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          Abstract

          Plant cells harbor two membrane-bound organelles containing their own genetic material—plastids and mitochondria. Although the two organelles coexist and coevolve within the same plant cells, they differ in genome copy number, intracellular organization, and mode of segregation. How these attributes affect the time to fixation or, conversely, loss of neutral alleles is currently unresolved. Here, we show that mitochondria and plastids share the same mutation rate, yet plastid alleles remain in a heteroplasmic state significantly longer compared with mitochondrial alleles. By analyzing genetic variants across populations of the marine flowering plant Zostera marina and simulating organelle allele dynamics, we examine the determinants of allele segregation and allele fixation. Our results suggest that the bottlenecks on the cell population, e.g. during branching or seeding, and stratification of the meristematic tissue are important determinants of mitochondrial allele dynamics. Furthermore, we suggest that the prolonged plastid allele dynamics are due to a yet unknown active plastid partition mechanism. The dissimilarity between plastid and mitochondrial novel allele fixation at different levels of organization may manifest in differences in adaptation processes. Our study uncovers fundamental principles of organelle population genetics that are essential for further investigations of long-term evolution and molecular dating of divergence events.

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            Twelve years of SAMtools and BCFtools

            Abstract Background SAMtools and BCFtools are widely used programs for processing and analysing high-throughput sequencing data. They include tools for file format conversion and manipulation, sorting, querying, statistics, variant calling, and effect analysis amongst other methods. Findings The first version appeared online 12 years ago and has been maintained and further developed ever since, with many new features and improvements added over the years. The SAMtools and BCFtools packages represent a unique collection of tools that have been used in numerous other software projects and countless genomic pipelines. Conclusion Both SAMtools and BCFtools are freely available on GitHub under the permissive MIT licence, free for both non-commercial and commercial use. Both packages have been installed >1 million times via Bioconda. The source code and documentation are available from https://www.htslib.org.
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              The rate and molecular spectrum of spontaneous mutations in Arabidopsis thaliana.

              To take complete advantage of information on within-species polymorphism and divergence from close relatives, one needs to know the rate and the molecular spectrum of spontaneous mutations. To this end, we have searched for de novo spontaneous mutations in the complete nuclear genomes of five Arabidopsis thaliana mutation accumulation lines that had been maintained by single-seed descent for 30 generations. We identified and validated 99 base substitutions and 17 small and large insertions and deletions. Our results imply a spontaneous mutation rate of 7 x 10(-9) base substitutions per site per generation, the majority of which are G:C-->A:T transitions. We explain this very biased spectrum of base substitution mutations as a result of two main processes: deamination of methylated cytosines and ultraviolet light-induced mutagenesis.
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                Mol Biol Evol
                Mol Biol Evol
                molbev
                Molecular Biology and Evolution
                Oxford University Press (UK )
                0737-4038
                1537-1719
                July 2024
                27 June 2024
                27 June 2024
                : 41
                : 7
                : msae135
                Affiliations
                Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel , Kiel, Germany
                Institute of General Microbiology, University of Kiel , Kiel, Germany
                Institute of General Microbiology, University of Kiel , Kiel, Germany
                Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel , Kiel, Germany
                Institute of General Microbiology, University of Kiel , Kiel, Germany
                Author notes
                Corresponding author: E-mail: marinakh@ 123456tauex.tau.ac.il .

                Conflict of Interest None declared.

                Present address: Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

                Author information
                https://orcid.org/0000-0003-4495-6461
                https://orcid.org/0000-0002-4869-1715
                https://orcid.org/0000-0002-8961-4337
                https://orcid.org/0000-0002-9042-192X
                Article
                msae135
                10.1093/molbev/msae135
                11245704
                38934796
                d8614f6d-aa4a-450d-ae5e-dfcf8112dfec
                © The Author(s) 2024. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 November 2023
                : 11 June 2024
                : 20 June 2024
                : 13 July 2024
                Page count
                Pages: 16
                Funding
                Funded by: Helmholtz School for Marine Data Science;
                Award ID: HIDSS-0005)
                Funded by: HFSP, DOI 10.13039/501100000854;
                Award ID: RGP0011/2022
                Funded by: ERC, DOI 10.13039/501100000781;
                Award ID: 101043835
                Categories
                Discoveries
                AcademicSubjects/SCI01130
                AcademicSubjects/SCI01180

                Molecular biology
                plant organelle evolution,plastids,mitochondria,eelgrass,substitution rate,genetic diversity,allele dynamics,heteroplasmy,simulated evolution,zostera marina

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