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Structural Capacitance in Protein Evolution and Human Diseases Structural Capacitance in Protein Evolution and Human Diseases Adrian Woolfson, Ashley Buckle, Natalie Borg, Geoffrey Webb, Itamar Kass, Malcolm Buckle, Jiangning Song, Chen Li, Liah Clark, Rory Zhang, et al. To cite this version: Adrian Woolfson, Ashley Buckle, Natalie Borg, Geoffrey Webb, Itamar Kass, et al.. Structural Ca- pacitance in Protein Evolution and Human Diseases. Journal of Molecular Biology, Elsevier, 2018, 10.1016/j.jmb.2018.06.051. hal-02368321 HAL Id: hal-02368321 https://hal.archives-ouvertes.fr/hal-02368321 Submitted on 20 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Structural Capacitance in Protein Evolution and Human Diseases Chen Li, Liah Clark, Rory Zhang, Benjamin Porebski, Julia Mccoey, Natalie Borg, Geoffrey Webb, Itamar Kass, Malcolm Buckle, Jiangning Song, etal. To cite this version: Chen Li, Liah Clark, Rory Zhang, Benjamin Porebski, Julia Mccoey, et al.. Structural Capaci- tance in Protein Evolution and Human Diseases. Journal of Molecular Biology, Elsevier, 2018, 10.1016/j.jmb.2018.06.051. hal-02368321 HAL Id: hal-02368321 https://hal.archives-ouvertes.fr/hal-02368321 Submitted on 20 Nov 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Article KDC YJMBI-65806; No. of pages: 18; 4C: Structural Capacitance in Protein Evolution and Human Diseases Chen Li 1,2, Liah V.T. Clark 1, Rory Zhang 1, Benjamin T. Porebski 1,3, Julia M. McCoey 1, Natalie A. Borg 1, Geoffrey I. Webb 4, Itamar Kass 1,5, Malcolm Buckle 6, Jiangning Song 1, Adrian Woolfson 7 and Ashley M. Buckle 1 1 - Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia 2 - Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich 8093, Switzerland 3 - Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge, CB2 0QH, UK 4 - Faculty of Information Technology, Monash University, Clayton, Victoria 3800, Australia 5 - Amai Proteins, Prof. A. D. Bergman 2B, Suite 212, Rehovot 7670504, Israel 6 - LBPA, ENS Cachan, CNRS, Université Paris-Saclay, F-94235 Cachan, France 7 - Nouscom, Baumleingasse, CH-4051 Basel, Switzerland Correspondence to Adrian Woolfson and Ashley M. Buckle: [email protected]; [email protected] https://doi.org/10.1016/j.jmb.2018.06.051 Edited by Dan Tawfik Abstract Canonical mechanisms of protein evolution include the duplication and diversification of pre-existing folds through genetic alterations that include point mutations, insertions, deletions, and copy number amplifications, as well as post-translational modifications that modify processes such as folding efficiency and cellular localization. Following a survey of the human mutation database, we have identified an additional mechanism that we term “structural capacitance,” which results in the de novo generation of microstructure in previously disordered regions. We suggest that the potential for structural capacitance confers select proteins with the capacity to evolve over rapid timescales, facilitating saltatory evolution as opposed to gradualistic canonical Darwinian mechanisms. Our results implicate the elements of protein microstructure generated by this distinct mechanism in the pathogenesis of a wide variety of human diseases. The benefits of rapidly furnishing the potential for evolutionary change conferred by structural capacitance are consequently counterbalanced by this accompanying risk. The phenomenon of structural capacitance has implications ranging from the ancestral diversification of protein folds to the engineering of synthetic proteins with enhanced evolvability. Introduction available mechanisms for the implementation of evolutionary change enables adaptations to be Canonical protein evolution is achieved through furnished at the appropriate level, and allows proteins the utilization of an array of different genetic to efficiently navigate their function spaces to identify mechanisms, including point mutations, recombina- optimal phenotypic solutions. tion, translocations, and duplication. Alterations to Whereas classic genetic modifications are incremen- the protein-encoding elements of genes are accom- tal, more complex mechanisms, such as the phenom- panied by modifications to non-coding control ele- enon of genetic capacitance mediated by heat shock ments, epigenetic changes, and post-translational proteins like Hsp90, buffer the impact of polymorphisms mechanisms that refine the kinetics, spatial localiza- that may in isolation be maladaptive, allowing their tion, synthesis, folding efficiency, and other aspects of phenotype to remain hidden and offering the possibility protein synthesis and dynamics. The functional and for “saltatory” evolutionary change [1]. This enables morphological diversity at the protein, cellular, and expansive regions of structural and functional space to organismal levels is achieved through the utilization of be navigated in a single step, releasing phenotypes a combination of such mechanisms. This repertoire of from local optima and allowing new functions and 0022-2836/Crown J Mol Biol (2018) xx, xxx–xxx Please cite this article as: C. Li, et al., Structural Capacitance in Protein Evolution and Human Diseases, J. Mol. Biol. (2018), https:// doi.org/10.1016/j.jmb.2018.06.051 2 Protein Evolution and Human Diseases morphologies to evolve over rapid timescales along dataset of 68,383 unique human mutations (excluding routes requiring the simultaneous presence of multiple the “unclassified” mutations; see Materials and genetic alterations. The existence of such mechanisms Methods for more details), comprising 28,662 enables evolutionary landscapes [1] to be navigated human disease mutations and 39,721 polymor- more efficiently, as searches may be extended beyond phisms. We then applied standard algorithms for the local optima of rugged peaks, so as to reach out disorder prediction to every mutation and polymor- across otherwise un-navigable regions of sequence phism in the dataset. A predictor voting strategy was space to identify distant, and potentially more adaptive employed to determine the prediction outcome for optima. The capacity for this type of accelerated each mutation. As there are multiple predictors for evolution is especially important in environments protein disorder, the residues were deemed to be characterized by high uncertainty, where a capacity located within disordered regions if the number of for furnishing rapid and efficient evolutionary change is predictors assigning residues to disordered regions a prerequisite for survival. Interestingly, there is was equal to or larger than the number of predictors emerging evidence for profound protein structural assigning the residues to ordered regions. Four types changes induced by so-called “hopeful monster” of structural transitions were defined: disorder-to- mutations [2–4]. order (D➔O), order-to-disorder (O➔D), disorder-to- Many proteins, and most notably those involved in disorder (D➔D), and order-to-order (O➔O) (Table cellular regulation and signaling [5,6], contain signifi- S1). cant regions of disorder and belong to the class of We next interrogated the subset of proteins intrinsically disordered proteins (IDPs) [7].IDPscan containing D➔O predicted mutations imposing the undergo disorder–order transitions, typically upon following selection criteria: (1) mutations located binding another protein or DNA (coupled folding and within disordered regions ≥30 amino acids in length binding [8–11]). The energy landscapes of IDPs are (termed “long disordered regions” (LDRs), consistent typically rugged, featuring a continuum of conforma- with other studies [15–19]); (2) LDRs not predicted to tional states that enables interaction with other be in transmembrane domains; and (3) proteins with molecules via both conformational selection and LDRs lacking experimentally determined identical or induced fit [8,12,13]. homologous structures. From a BLAST search In order to establish whether point mutations within against the protein databank (PDB), 226 of 1,337 the regions encoding disordered regions may result in (16.9%) proteins do not currently have experimentally microstructuralization and generate nascent micro- determined structures or homologues. Among 1337 structural elements that may form substrates for proteins containing predicted D➔Omutations,we evolution and result in adaptive alterations to protein identified 150 point mutations within LDRs from a total function, we performed a survey of the human mutation
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