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      Evolution of linkage and genome expansion in protocells: The origin of chromosomes

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          Abstract

          Chromosomes are likely to have assembled from unlinked genes in early evolution. Genetic linkage reduces the assortment load and intragenomic conflict in reproducing protocell models to the extent that chromosomes can go to fixation even if chromosomes suffer from a replicative disadvantage, relative to unlinked genes, proportional to their length. Here we numerically show that chromosomes spread within protocells even if recurrent deleterious mutations affecting replicating genes (as ribozymes) are considered. Dosage effect selects for optimal genomic composition within protocells that carries over to the genic composition of emerging chromosomes. Lacking an accurate segregation mechanism, protocells continue to benefit from the stochastic corrector principle (group selection of early replicators), but now at the chromosome level. A remarkable feature of this process is the appearance of multigene families (in optimal genic proportions) on chromosomes. An added benefit of chromosome formation is an increase in the selectively maintainable genome size (number of different genes), primarily due to the marked reduction of the assortment load. The establishment of chromosomes is under strong positive selection in protocells harboring unlinked genes. The error threshold of replication is raised to higher genome size by linkage due to the fact that deleterious mutations affecting protocells metabolism (hence fitness) show antagonistic (diminishing return) epistasis. This result strengthens the established benefit conferred by chromosomes on protocells allowing for the fixation of highly specific and efficient enzymes.

          Author summary

          The emergence of chromosomes harboring several genes is a crucial ingredient of the major evolutionary transition from naked replicators to cells. Linkage of replicating genes reduces conflict between them and alleviates the problem of chance loss of genes upon stochastic protocell fission. The emerging organization of protocells maintaining several segregating chromosomes with balanced gene composition also allows for an increase in the number of gene types despite recurrent deleterious mutations. We suggest that this interim genomic organization enabled protocells to evolve specific and efficient enzymes and paved the way toward an accurate mechanism for chromosome segregation later in evolution.

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          Most cited references38

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          Random processes in genetics

          P. Moran (1958)
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            Selforganization of matter and the evolution of biological macromolecules.

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              RNA recombination in animal and plant viruses.

              Tsz M. Lai (1992)
              An increasing number of animal and plant viruses have been shown to undergo RNA-RNA recombination, which is defined as the exchange of genetic information between nonsegmented RNAs. Only some of these viruses have been shown to undergo recombination in experimental infection of tissue culture, animals, and plants. However, a survey of viral RNA structure and sequences suggests that many RNA viruses were derived form homologous or nonhomologous recombination between viruses or between viruses and cellular genes during natural viral evolution. The high frequency and widespread nature of RNA recombination indicate that this phenomenon plays a more significant role in the biology of RNA viruses than was previously recognized. Three types of RNA recombination are defined: homologous recombination; aberrant homologous recombination, which results in sequence duplication, insertion, or deletion during recombination; and nonhomologous (illegitimate) recombination, which does not involve sequence homology. RNA recombination has been shown to occur by a copy choice mechanism in some viruses. A model for this recombination mechanism is presented.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: SoftwareRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                29 October 2020
                October 2020
                : 16
                : 10
                : e1009155
                Affiliations
                [1 ] Institute of Evolution, Centre for Ecological Research, Tihany, Hungary
                [2 ] Department of Plant Systematics, Ecology and Theoretical Biology, Eötvös Loránd University, Budapest, Hungary
                [3 ] Center for the Conceptual Foundations of Science, Parmenides Foundation, Pullach/Munich, Germany
                [4 ] Grup de Genòmica, Bioinformàtica i Biologia Evolutiva (GGBE), Departament de Genètica i de Microbiologia, Universitat Autonòma de Barcelona, Bellaterra, Barcelona, Spain
                University of Münster, GERMANY
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6894-4652
                https://orcid.org/0000-0001-5227-2997
                https://orcid.org/0000-0002-6478-6570
                Article
                PGENETICS-D-20-00323
                10.1371/journal.pgen.1009155
                7665907
                33119583
                17b006fd-c72c-42f0-a59f-46dc8c15f590
                © 2020 Szilágyi 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 March 2020
                : 24 September 2020
                Page count
                Figures: 4, Tables: 1, Pages: 16
                Funding
                This work was supported by the ATTRACT Project EmLife (AS, ES and MS) ( https://attract-eu.com); The Volkswagen Foundation (initiative “Leben? –Ein neuer Blick der Naturwissenschaften auf die grundlegenden Prinzipien des Lebens”, project “A unified model of recombination in life”) (AS, ES and MS ( https://www.volkswagenstiftung.de); The National Research, Development and Innovation Office (NKFIH) under OTKA grant numbers K124438 (AS), K119347 (AS, ES) and GINOP-2.3.2-15-2016-00057 (AS, VPK and ES) research grants ( https://nkfih.gov.hu); CGL2017-89160-P from the Ministerio de Economía, Industria y Competitividad (MS) ( www.mineco.gob.es); 2017SGR 01379 from Generalitat de Catalunya (MS) ( https://web.gencat.cat/); MTA Distinguished Guest Fellowship Programme in Hungary (MS); Bolyai János Research Fellowship of the Hungarian Academy of Sciences (AS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Genetics
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Ribozymes
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Ribozymes
                Biology and Life Sciences
                Biochemistry
                Nucleic Acids
                RNA
                Ribozymes
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomes
                Chromosome Structure and Function
                Biology and Life Sciences
                Genetics
                Genomics
                Biology and Life Sciences
                Genetics
                Mutation
                Deletion Mutation
                Biology and Life Sciences
                Genetics
                Heredity
                Epistasis
                Fitness Epistasis
                Biology and Life Sciences
                Parasitology
                Parasite Evolution
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Processes
                Natural Selection
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-11-13
                All files are available from https://github.com/andszilagyi/chromosome_modelling.

                Genetics
                Genetics

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