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      Alternate evolutionary histories in the sequence space of an ancient protein

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      1 , 2 , 2 , 3
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          Abstract

          To understand why molecular evolution turned out as it did, we must characterize not only the path that evolution followed across the space of possible molecular sequences but also the many alternative trajectories that could have been taken but were not. A large-scale comparison of real and possible histories would establish whether the outcome of evolution represents a unique or optimal state driven by natural selection or the contingent product of historical chance events 1 ; it would also reveal how the underlying distribution of functions across sequence space shaped historical evolution 2, 3 . Here we combine ancestral protein reconstruction 4 with deep mutational scanning 510 to characterize alternate histories in the sequence space around an ancient transcription factor, which evolved a novel biological function through well-characterized mechanisms 11, 12 . We found hundreds of alternative protein sequences that use diverse biochemical mechanisms to perform the derived function at least as well as the historical outcome. These alternatives all require prior permissive substitutions that do not enhance the derived function, but not all require the same permissive changes that occurred during history. We found that if evolution had begun from a different starting point within the network of sequences encoding the ancestral function, outcomes with different genetic and biochemical forms would likely have resulted; this contingency arises from the distribution of functional variants in sequence space and epistasis between residues. Our results illuminate the topology of the vast space of possibilities from which history sampled one path, highlighting how the outcome of evolution depends on a serial chain of compounding chance events.

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          Most cited references38

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          USING THE CORRECT STATISTICAL TEST FOR THE EQUALITY OF REGRESSION COEFFICIENTS

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            Genome-wide analysis of estrogen receptor binding sites.

            The estrogen receptor is the master transcriptional regulator of breast cancer phenotype and the archetype of a molecular therapeutic target. We mapped all estrogen receptor and RNA polymerase II binding sites on a genome-wide scale, identifying the authentic cis binding sites and target genes, in breast cancer cells. Combining this unique resource with gene expression data demonstrates distinct temporal mechanisms of estrogen-mediated gene regulation, particularly in the case of estrogen-suppressed genes. Furthermore, this resource has allowed the identification of cis-regulatory sites in previously unexplored regions of the genome and the cooperating transcription factors underlying estrogen signaling in breast cancer.
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              Yeast vectors for the controlled expression of heterologous proteins in different genetic backgrounds.

              An expression system for Saccharomyces cerevisiae (Sc) has been developed which, depending on the chosen vector, allows the constitutive expression of proteins at different levels over a range of three orders of magnitude and in different genetic backgrounds. The expression system is comprised of cassettes composed of a weak CYC1 promoter, the ADH promoter or the stronger TEF and GPD promoters, flanked by a cloning array and the CYC1 terminator. The multiple cloning array based on pBIISK (Stratagene) provides six to nine unique restriction sites, which facilitates the cloning of genes and allows for the directed cloning of cDNAs by the widely used ZAP system (Stratagene). Expression cassettes were placed into both the centromeric and 2 mu plasmids of the pRS series [Sikorski and Hieter, Genetics 122 (1989) 19-27; Christianson et al., Gene 110 (1992) 119-122] containing HIS3, TRP1, LEU2 or URA3 markers. The 32 expression vectors created by this strategy provide a powerful tool for the convenient cloning and the controlled expression of genes or cDNAs in nearly every genetic background of the currently used Sc strains.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                1 August 2018
                13 September 2017
                21 September 2017
                02 November 2018
                : 549
                : 7672
                : 409-413
                Affiliations
                [1 ]Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA
                [2 ]Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA
                [3 ]Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
                Author notes

                Author Contributions T.N.S. and J.W.T. conceived the project, designed experiments, and wrote the paper. L.K.P. and T.N.S. designed and constructed the reporter system. T.N.S. performed experiments and analyzed data.

                Article
                NIHMS898685
                10.1038/nature23902
                6214350
                28902834
                ed9d31ea-c6ff-4a8d-8ed1-c028ce4f7e39

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