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      Compensatory mutations potentiate constructive neutral evolution by gene duplication

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          Abstract

          Protein functions generally depend on their assembly into complexes. During evolution, some complexes have transitioned from homomers encoded by a single gene to heteromers encoded by duplicate genes. This transition could occur without adaptive evolution through intermolecular compensatory mutations. Here, we experimentally duplicate and evolve an homodimeric enzyme to examine if and how this could happen. We identify hundreds of deleterious mutations that inactivate individual homodimers but produce functional enzymes when co-expressed as duplicated proteins that heterodimerize. The structure of one such heteromer reveals how both losses of function are buffered through the introduction of asymmetry in the complex that allows them to subfunctionalize. Constructive neutral evolution can thus occur by gene duplication followed by only one deleterious mutation per duplicate.

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          Compensatory deleterious mutations entangle gene duplicates

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            SciPy 1.0: fundamental algorithms for scientific computing in Python

            SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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              Matplotlib: A 2D Graphics Environment

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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                13 February 2024
                : 2024.02.12.579783
                Affiliations
                [1. ]Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada
                [2. ]Institut de Biologie Intégrative et des Systèmes, Université Laval, G1V 0A6, Canada
                [3. ]PROTEO, Le regroupement québécois de recherche sur la fonction, l’ingénierie et les applications des protéines, Université Laval, G1V 0A6, Canada
                [4. ]Centre de Recherche sur les Données Massives, Université Laval, G1V 0A6, Canada
                [5. ]Département de Biologie, Faculté des Sciences et de Génie, Université Laval, G1V 0A6, Canada
                Author notes

                Contributions

                P.C.D., A.K.D., R.S. and C.R.L. designed research. P.C.D., A.K.D., J.G. and M.-E. P. performed experiments and R.S. performed the crystallographic analysis. P.C.D. analyzed the data and wrote the manuscript with CRL and input from all authors.

                [* ]To whom correspondence should be addressed: RS: Tel: 418-656-2131 ext. 403214, rong.shi@ 123456bcm.ulaval.ca , CRL: Tel: 1-418-656-3954, Fax 1-418-656-7176, christian.landry@ 123456bio.ulaval.ca
                Author information
                http://orcid.org/0000-0003-1407-0643
                http://orcid.org/0000-0001-8718-9894
                http://orcid.org/0000-0003-3028-6866
                Article
                10.1101/2024.02.12.579783
                10888846
                38405844
                547325d7-9d5a-4ee3-a63d-6011e2892e10

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

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