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      Evolution of Cd 2+ and Cu + binding in Helix pomatia metallothioneins

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          Abstract

          Metallothioneins (MTs) are small proteins present in all kingdoms of life. Their high cysteine content enables them to bind metal ions, such as Zn 2+, Cd 2+, and Cu +, providing means for detoxification and metal homeostasis. Three MT isoforms with distinct metal binding preferences are present in the Roman Snail Helix pomatia. Here, we use nuclear magnetic resonance (NMR) to follow the evolution of Cd 2+ and Cu + binding from the reconstructed ancestral Stylommatophora MT to the three H. pomatia MT (HpMT) isoforms. Information obtained from [ 15N, 1H]-HSQC spectra and T 2 relaxation times are combined to describe the conformational stability of the MT-metal complexes. A well-behaved MT-metal complex adopts a unique structure and does not undergo additional conformational exchange. The ancestor to all three HpMTs forms conformationally stable Cd 2+ complexes and closely resembles the Cd 2+-specific HpCdMT isoform, suggesting a role in Cd 2+ detoxification for the ancestral protein. All Cu +-MT complexes, including the Cu +-specific HpCuMT isoform, undergo a considerable amount of conformational exchange. The unspecific HpCd/CuMT and the Cu +-specific HpCuMT isoforms form Cu + complexes with comparable characteristics. It is possible to follow how Cd 2+ and Cu + binding changed throughout evolution. Interestingly, Cu + binding improved independently in the lineages leading to the unspecific and the Cu +-specific HpMT isoforms. C-terminal domains are generally less capable of coordinating the non-cognate metal ion than N-terminal domains, indicating a higher level of specialization of the C-domain. Our findings provide new insights into snail MT evolution, helping to understand the interplay between biological function and structural features toward a comprehensive understanding of metal preference.

          Graphical Abstract

          Graphical Abstract

          Well-behaved metallothionein-metal complexes adopt unique structures that lack conformational exchange. The conformational stability of these complexes can be probed using NMR. We follow the evolution of metal binding in gastropod metallothioneins by investigating the conformational stability of Cd 2+ and Cu + complexes formed by extant and ancestral proteins.

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          Most cited references47

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          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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            BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

            Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data. It is increasingly appreciated that some evolutionary questions can only be adequately answered by combining evidence from multiple independent sources of data, including genome sequences, sampling dates, phenotypic data, radiocarbon dates, fossil occurrences, and biogeographic range information among others. Including all relevant data into a single joint model is very challenging both conceptually and computationally. Advanced computational software packages that allow robust development of compatible (sub-)models which can be composed into a full model hierarchy have played a key role in these developments. Developing such software frameworks is increasingly a major scientific activity in its own right, and comes with specific challenges, from practical software design, development and engineering challenges to statistical and conceptual modelling challenges. BEAST 2 is one such computational software platform, and was first announced over 4 years ago. Here we describe a series of major new developments in the BEAST 2 core platform and model hierarchy that have occurred since the first release of the software, culminating in the recent 2.5 release.
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              Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10

              Abstract The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package has become a primary tool for Bayesian phylogenetic and phylodynamic inference from genetic sequence data. BEAST unifies molecular phylogenetic reconstruction with complex discrete and continuous trait evolution, divergence-time dating, and coalescent demographic models in an efficient statistical inference engine using Markov chain Monte Carlo integration. A convenient, cross-platform, graphical user interface allows the flexible construction of complex evolutionary analyses.
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                Author and article information

                Contributors
                Journal
                Metallomics
                Metallomics
                metallomics
                Metallomics: Integrated Biometal Science
                Oxford University Press
                1756-5901
                1756-591X
                October 2023
                20 September 2023
                20 September 2023
                : 15
                : 10
                : mfad057
                Affiliations
                Department of Chemistry, University of Zurich , 8057 Zurich, Winterthurerstrasse 190, Switzerland
                Department of Chemistry, University of Zurich , 8057 Zurich, Winterthurerstrasse 190, Switzerland
                Department of Chemistry, University of Zurich , 8057 Zurich, Winterthurerstrasse 190, Switzerland
                Department of Chemistry, University of Zurich , 8057 Zurich, Winterthurerstrasse 190, Switzerland
                Author notes
                Correspondence: Department of Chemistry, University of Zurich, 8057 Zurich, Winterthurerstrasse 190, Switzerland. Tel: +41-44-635-42-63; E-mail: oliver.zerbe@ 123456chem.uzh.ch

                These authors contributed equally

                Author information
                https://orcid.org/0009-0006-6044-924X
                https://orcid.org/0000-0001-5419-9631
                https://orcid.org/0000-0003-0475-438X
                Article
                mfad057
                10.1093/mtomcs/mfad057
                10548783
                37738453
                cbc50058-738f-41c1-95ae-40b5d1443333
                © The Author(s) 2023. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 03 July 2023
                : 14 September 2023
                : 04 October 2023
                Page count
                Pages: 15
                Categories
                Paper
                AcademicSubjects/SCI00980
                AcademicSubjects/SCI01180
                AcademicSubjects/SCI00340
                AcademicSubjects/SCI00840

                nmr,cadmium,copper,conformational exchange,t2 relaxation,ancestral proteins

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