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      Dehydration Enhances Prebiotic Lipid Remodeling and Vesicle Formation in Acidic Environments

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          Abstract

          The encapsulation of genetic polymers inside lipid bilayer compartments (vesicles) is a vital step in the emergence of cell-based life. However, even though acidic conditions promote many reactions required for generating prebiotic building blocks, prebiotically relevant lipids tend to form denser aggregates at acidic pHs rather than prebiotically useful vesicles that exhibit sufficient solute encapsulation. Here, we describe how dehydration/rehydration (DR) events, a prebiotically relevant physicochemical process known to promote polymerization reactions, can remodel dense lipid aggregates into thin-walled vesicles capable of RNA encapsulation even at acidic pHs. Furthermore, DR events appear to favor the encapsulation of RNA within thin-walled vesicles over more lipid-rich vesicles, thus conferring such vesicles a selective advantage.

          Abstract

          Dehydration/rehydration events can yield protocells with enhanced RNA encapsulation, even under acidic conditions. This bolsters the importance of surficial environments for protocell formation.

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          Most cited references53

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Group selection of early replicators and the origin of life.

            A major problem of the origin of life has been that of information integration. As Eigen (1971) has shown, a mutant distribution of RNAs replicating without the aid of a replicase cannot integrate sufficient information for the functioning of a higher-level unit utilizing several types of encoded enzymes. He proposed the hypercycle model to bridge this gap in prebiology. It can be shown by a nonlinear game model, incorporating mutation of a hypercycle, that the selection properties of hypercycles make them inefficient information integrators as they cannot compete favourably with all kinds of less efficient information carriers or mutationally coupled hypercycles. The stochastic corrector model is presented as an alternative resolution of Eigen's paradox. It assumes that replicative templates are competing within replicative compartments, whose selective values depend on the internal template composition via a catalytic acid in replication and "metabolism". The dynamics of template replication are analyzed by numerical simulation of master equations. Due to the stochasticity in replication and compartment fission the best compartment types recur. An Eigen equation at the compartment level is set up and calculated. Even selfish template mutants cannot destroy the system though they make it less efficient. The genetic information of templates is evaluated at both levels, and the higher (compartment) level successfully constrains the lower (template) one. Compartmentation together with stochastic effects is sufficient to integrate information dispersed in competitive replicators. Compartment selection is considered to be group selection of replicators. Implications for the origin of life are discussed.
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              Synthesizing life.

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                Author and article information

                Journal
                ACS Cent Sci
                ACS Cent Sci
                oc
                acscii
                ACS Central Science
                American Chemical Society
                2374-7943
                2374-7951
                07 January 2022
                26 January 2022
                : 8
                : 1
                : 132-139
                Affiliations
                []School of Biological, Earth and Environmental Sciences, UNSW Sydney , Bedegal Country, New South Wales 2052, Australia
                []School of Chemistry, UNSW Sydney , Bedegal Country, New South Wales 2052, Australia
                [§ ]Australian Centre for Astrobiology, UNSW Sydney , Bedegal Country, New South Wales 2052, Australia
                Author notes
                Author information
                https://orcid.org/0000-0002-2148-1996
                Article
                10.1021/acscentsci.1c01365
                8796310
                be1c5c05-32ba-4ea2-a25a-558f546139fc
                © 2022 The Authors. Published by American Chemical Society

                Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works ( https://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 07 November 2021
                Funding
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                Award ID: DE210100291
                Funded by: Australian Research Council, doi 10.13039/501100000923;
                Award ID: DP180103204
                Categories
                Research Article
                Custom metadata
                oc1c01365
                oc1c01365

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