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      Highly active rubiscos discovered by systematic interrogation of natural sequence diversity

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          Abstract

          CO 2 is converted into biomass almost solely by the enzyme rubisco. The poor carboxylation properties of plant rubiscos have led to efforts that made it the most kinetically characterized enzyme, yet these studies focused on < 5% of its natural diversity. Here, we searched for fast‐carboxylating variants by systematically mining genomic and metagenomic data. Approximately 33,000 unique rubisco sequences were identified and clustered into ≈ 1,000 similarity groups. We then synthesized, purified, and biochemically tested the carboxylation rates of 143 representatives, spanning all clusters of form‐ II and form‐ II/ III rubiscos. Most variants (> 100) were active in vitro, with the fastest having a turnover number of 22 ± 1 s −1—sixfold faster than the median plant rubisco and nearly twofold faster than the fastest measured rubisco to date. Unlike rubiscos from plants and cyanobacteria, the fastest variants discovered here are homodimers and exhibit a much simpler folding and activation kinetics. Our pipeline can be utilized to explore the kinetic space of other enzymes of interest, allowing us to get a better view of the biosynthetic potential of the biosphere.

          Abstract

          Metagenomic and biochemical analysis of previously uncharacterized naturally‐occurring form‐II and II/III rubiscos leads to identification of an enzyme with the fastest CO 2 fixation rate described to date.

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          Despite slow catalysis and confused substrate specificity, all ribulose bisphosphate carboxylases may be nearly perfectly optimized.

          The cornerstone of autotrophy, the CO(2)-fixing enzyme, d-ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), is hamstrung by slow catalysis and confusion between CO(2) and O(2) as substrates, an "abominably perplexing" puzzle, in Darwin's parlance. Here we argue that these characteristics stem from difficulty in binding the featureless CO(2) molecule, which forces specificity for the gaseous substrate to be determined largely or completely in the transition state. We hypothesize that natural selection for greater CO(2)/O(2) specificity, in response to reducing atmospheric CO(2):O(2) ratios, has resulted in a transition state for CO(2) addition in which the CO(2) moiety closely resembles a carboxylate group. This maximizes the structural difference between the transition states for carboxylation and the competing oxygenation, allowing better differentiation between them. However, increasing structural similarity between the carboxylation transition state and its carboxyketone product exposes the carboxyketone to the strong binding required to stabilize the transition state and causes the carboxyketone intermediate to bind so tightly that its cleavage to products is slowed. We assert that all Rubiscos may be nearly perfectly adapted to the differing CO(2), O(2), and thermal conditions in their subcellular environments, optimizing this compromise between CO(2)/O(2) specificity and the maximum rate of catalytic turnover. Our hypothesis explains the feeble rate enhancement displayed by Rubisco in processing the exogenously supplied carboxyketone intermediate, compared with its nonenzymatic hydrolysis, and the positive correlation between CO(2)/O(2) specificity and (12)C/(13)C fractionation. It further predicts that, because a more product-like transition state is more ordered (decreased entropy), the effectiveness of this strategy will deteriorate with increasing temperature.
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            Open science resources for the discovery and analysis of Tara Oceans data

            The Tara Oceans expedition (2009–2013) sampled contrasting ecosystems of the world oceans, collecting environmental data and plankton, from viruses to metazoans, for later analysis using modern sequencing and state-of-the-art imaging technologies. It surveyed 210 ecosystems in 20 biogeographic provinces, collecting over 35,000 samples of seawater and plankton. The interpretation of such an extensive collection of samples in their ecological context requires means to explore, assess and access raw and validated data sets. To address this challenge, the Tara Oceans Consortium offers open science resources, including the use of open access archives for nucleotides (ENA) and for environmental, biogeochemical, taxonomic and morphological data (PANGAEA), and the development of on line discovery tools and collaborative annotation tools for sequences and images. Here, we present an overview of Tara Oceans Data, and we provide detailed registries (data sets) of all campaigns (from port-to-port), stations and sampling events.
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              BRENDA in 2019: a European ELIXIR core data resource

              Abstract The BRENDA enzyme database (www.brenda-enzymes.org), recently appointed ELIXIR Core Data Resource, is the main enzyme and enzyme-ligand information system. The core database provides a comprehensive overview on enzymes. A collection of 4.3 million data for ∼84 000 enzymes manually evaluated and extracted from ∼140 000 primary literature references is combined with information obtained by text and data mining, data integration and prediction algorithms. Supplements comprise disease-related data, protein sequences, 3D structures, predicted enzyme locations and genome annotations. Major developments are a revised ligand summary page and the structure search now including a similarity and isomer search. BKMS-react, an integrated database containing known enzyme-catalyzed reactions, is supplemented with further reactions and improved access to pathway connections. In addition to existing enzyme word maps with graphical information of enzyme specific terms, plant word maps have been developed. They show a graphical overview of terms, e.g. enzyme or plant pathogen information, connected to specific plants. An organism summary page showing all relevant information, e.g. taxonomy and synonyms linked to enzyme data, was implemented. Based on a decision by the IUBMB enzyme task force the enzyme class EC 7 has been established for ‘translocases’, enzymes that catalyze a transport of ions or metabolites across cellular membranes.
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                Author and article information

                Contributors
                ron.milo@weizmann.ac.il
                Journal
                EMBO J
                EMBO J
                10.1002/(ISSN)1460-2075
                EMBJ
                embojnl
                The EMBO Journal
                John Wiley and Sons Inc. (Hoboken )
                0261-4189
                1460-2075
                05 June 2020
                15 September 2020
                05 June 2020
                : 39
                : 18 ( doiID: 10.1002/embj.v39.18 )
                : e104081
                Affiliations
                [ 1 ] Department of Plant and Environmental Sciences Weizmann Institute of Science Rehovot Israel
                [ 2 ] School of Biological Sciences Nanyang Technological University Singapore Singapore
                [ 3 ] Department of Molecular and Cell Biology University of California Berkeley CA USA
                [ 4 ] Migal Galilee Research Institute Kiryat Shmona Israel
                [ 5 ] Tel Hai College Upper Galilee Israel
                [ 6 ] Department of Biomolecular Sciences Weizmann Institute of Science Rehovot Israel
                [ 7 ] Department of Molecular Genetics Weizmann Institute of Science Rehovot Israel
                [ 8 ] Department of Life Sciences Core Facilities Weizmann Institute of Science Rehovot Israel
                [ 9 ]Present address: Department of Genetics Harvard Medical School Boston MA USA
                [ 10 ]Present address: BASF Enzymes LLC San Diego CA USA
                [ 11 ]Present address: Laboratory of Genetically Encoded Small Molecules The Rockefeller University New York NY USA
                Author notes
                [*] [* ]Corresponding author. Tel: +972505714697; E‐mail: ron.milo@ 123456weizmann.ac.il
                [†]

                These authors contributed equally to this work

                Author information
                https://orcid.org/0000-0002-9278-5479
                https://orcid.org/0000-0003-1641-2299
                Article
                EMBJ2019104081
                10.15252/embj.2019104081
                7507306
                32500941
                314eab7d-7eba-438f-bdcf-f8631a9f28e6
                ©2020 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 November 2019
                : 30 April 2020
                : 07 May 2020
                Page count
                Figures: 5, Tables: 1, Pages: 11, Words: 9005
                Funding
                Funded by: H2020 European Research Council (ERC) , open-funder-registry 10.13039/100010663;
                Award ID: NOVCARBFIX 646827
                Funded by: Israel Science Foundation (ISF) , open-funder-registry 10.13039/501100003977;
                Award ID: 740/16
                Funded by: National Research Foundation Singapore (NRF) , open-funder-registry 10.13039/501100001381;
                Award ID: NRF2017-NRF-ISF002-2667
                Funded by: Beck‐Canadian Center for Alternative Energy Research
                Funded by: Dana and Yossie Hollander
                Funded by: the Ullmann Family Foundation
                Funded by: the Helmsley Charitable Trust, the Larson Charitable Foundation
                Funded by: the Wolfson Family Charitable Trust
                Funded by: Charles Rothschild
                Funded by: Selmo Nussenbaum
                Categories
                Resource
                Resource
                Custom metadata
                2.0
                15 September 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.1 mode:remove_FC converted:22.09.2020

                Molecular biology
                carbon fixation,carboxylation rate,enhanced photosynthesis,metagenomic survey,ribulose‐1,5‐bisphosphate carboxylase/oxygenase,metabolism,plant biology

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