The Role of Photorespiration During the Evolution of C4 Photosynthesis In
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PLGG1, a Plastidic Glycolate Glycerate Transporter, Is Required for Photorespiration and Defines a Unique Class of Metabolite Transporters
PLGG1, a plastidic glycolate glycerate transporter, is required for photorespiration and defines a unique class of metabolite transporters Thea R. Picka,1, Andrea Bräutigama,1, Matthias A. Schulza, Toshihiro Obatab, Alisdair R. Fernieb, and Andreas P. M. Webera,2 aInstitute of Plant Biochemistry, Cluster of Excellence on Plant Sciences, Heinrich Heine University, 40225 Düsseldorf, Germany; and bMax-Planck Institute for Molecular Plant Physiology, Department of Molecular Physiology, 14476 Potsdam-Golm, Germany Edited by Wolf B. Frommer, Carnegie Institution for Science, Stanford, CA, and accepted by the Editorial Board January 8, 2013 (received for review September 4, 2012) Photorespiratory carbon flux reaches up to a third of photosyn- (PGLP). Glycolate is exported from the chloroplasts to the per- thetic flux, thus contributes massively to the global carbon cycle. oxisomes, where it is oxidized to glyoxylate by glycolate oxidase The pathway recycles glycolate-2-phosphate, the most abundant (GOX) and transaminated to glycine by Ser:glyoxylate and Glu: byproduct of RubisCO reactions. This oxygenation reaction of glyoxylate aminotransferase (SGT and GGT, respectively). Glycine RubisCO and subsequent photorespiration significantly limit the leaves the peroxisomes and enters the mitochondria, where two biomass gains of many crop plants. Although photorespiration is molecules of glycine are deaminated and decarboxylated by the a compartmentalized process with enzymatic reactions in the glycine decarboxylase complex (GDC) and serine hydroxymethyl- chloroplast, the peroxisomes, the mitochondria, and the cytosol, transferase (SHMT) to form one molecule each of serine, ammo- nia, and carbon dioxide. Serine is exported from the mitochondria no transporter required for the core photorespiratory cycle has to the peroxisomes, where it is predominantly converted to glyc- been identified at the molecular level to date. -
The Self-Inhibitory Nature of Metabolic Networks and Its Alleviation Through Compartmentalization
ARTICLE Received 30 Oct 2016 | Accepted 23 May 2017 | Published 10 Jul 2017 DOI: 10.1038/ncomms16018 OPEN The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization Mohammad Tauqeer Alam1,2, Viridiana Olin-Sandoval1,3, Anna Stincone1,w, Markus A. Keller1,4, Aleksej Zelezniak1,5,6, Ben F. Luisi1 & Markus Ralser1,5 Metabolites can inhibit the enzymes that generate them. To explore the general nature of metabolic self-inhibition, we surveyed enzymological data accrued from a century of experimentation and generated a genome-scale enzyme-inhibition network. Enzyme inhibition is often driven by essential metabolites, affects the majority of biochemical processes, and is executed by a structured network whose topological organization is reflecting chemical similarities that exist between metabolites. Most inhibitory interactions are competitive, emerge in the close neighbourhood of the inhibited enzymes, and result from structural similarities between substrate and inhibitors. Structural constraints also explain one-third of allosteric inhibitors, a finding rationalized by crystallographic analysis of allosterically inhibited L-lactate dehydrogenase. Our findings suggest that the primary cause of metabolic enzyme inhibition is not the evolution of regulatory metabolite–enzyme interactions, but a finite structural diversity prevalent within the metabolome. In eukaryotes, compartmentalization minimizes inevitable enzyme inhibition and alleviates constraints that self-inhibition places on metabolism. 1 Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Road, Cambridge CB2 1GA, UK. 2 Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, UK. 3 Department of Food Science and Technology, Instituto Nacional de Ciencias Me´dicas y Nutricio´n Salvador Zubira´n, Vasco de Quiroga 15, Tlalpan, 14080 Mexico City, Mexico. -
Bioinorganic Chemistry Content
Bioinorganic Chemistry Content 1. What is bioinorganic chemistry? 2. Evolution of elements 3. Elements and molecules of life 4. Phylogeny 5. Metals in biochemistry 6. Ligands in biochemistry 7. Principals of coordination chemistry 8. Properties of bio molecules 9. Biochemistry of main group elements 10. Biochemistry of transition metals 11. Biochemistry of lanthanides and actinides 12. Modell complexes 13. Analytical methods in bioinorganic 14. Applications areas of bioinorganic chemistry "Simplicity is the ultimate sophistication" Leonardo Da Vinci Bioinorganic Chemistry Slide 1 Prof. Dr. Thomas Jüstel Literature • C. Elschenbroich, A. Salzer, Organometallchemie, 2. Auflage, Teubner, 1988 • S.J. Lippard, J.N. Berg, Bioinorganic Chemistry, Spektrum Akademischer Verlag, 1995 • J.E. Huheey, E. Keiter, R. Keiter, Anorganische Chemie – Prinzipien von Struktur und Reaktivität, 3. Auflage, Walter de Gruyter, 2003 • W. Kaim, B. Schwederski: Bioinorganic Chemistry, 4. Auflage, Vieweg-Teubner, 2005 • H. Rauchfuß, Chemische Evolution und der Ursprung des Lebens, Springer, 2005 • A.F. Hollemann, N. Wiberg, Lehrbuch der Anorganischen Chemie, 102. Auflage, de Gruyter, 2007 • I. Bertini, H.B. Gray, E.I. Stiefel, J.S. Valentine, Biological Chemistry, University Science Books, 2007 • N. Metzler-Nolte, U. Schatzschneier, Bioinorganic Chemistry: A Practical Course, Walter de Gruyter, 2009 • W. Ternes, Biochemie der Elemente, Springer, 2013 • D. Rabinovich, Bioinorganic Chemistry, Walter de Gruyter, 2020 Bioinorganic Chemistry Slide 2 Prof. Dr. Thomas Jüstel 1. What is Bioinorganic Chemistry? A Highly Interdisciplinary Science at the Verge of Biology, Chemistry, Physics, and Medicine Biochemistry Inorganic Chemistry (Micro)- Physics & Biology Spectroscopy Bioinorganic Chemistry Pharmacy & Medicine & Toxicology Physiology Diagnostics Bioinorganic Chemistry Slide 3 Prof. Dr. Thomas Jüstel 2. Evolution of the Elements Most Abundant Elements in the Universe According to Atomic Fraction Are: 1. -
Understanding Drug-Drug Interactions Due to Mechanism-Based Inhibition in Clinical Practice
pharmaceutics Review Mechanisms of CYP450 Inhibition: Understanding Drug-Drug Interactions Due to Mechanism-Based Inhibition in Clinical Practice Malavika Deodhar 1, Sweilem B Al Rihani 1 , Meghan J. Arwood 1, Lucy Darakjian 1, Pamela Dow 1 , Jacques Turgeon 1,2 and Veronique Michaud 1,2,* 1 Tabula Rasa HealthCare Precision Pharmacotherapy Research and Development Institute, Orlando, FL 32827, USA; [email protected] (M.D.); [email protected] (S.B.A.R.); [email protected] (M.J.A.); [email protected] (L.D.); [email protected] (P.D.); [email protected] (J.T.) 2 Faculty of Pharmacy, Université de Montréal, Montreal, QC H3C 3J7, Canada * Correspondence: [email protected]; Tel.: +1-856-938-8697 Received: 5 August 2020; Accepted: 31 August 2020; Published: 4 September 2020 Abstract: In an ageing society, polypharmacy has become a major public health and economic issue. Overuse of medications, especially in patients with chronic diseases, carries major health risks. One common consequence of polypharmacy is the increased emergence of adverse drug events, mainly from drug–drug interactions. The majority of currently available drugs are metabolized by CYP450 enzymes. Interactions due to shared CYP450-mediated metabolic pathways for two or more drugs are frequent, especially through reversible or irreversible CYP450 inhibition. The magnitude of these interactions depends on several factors, including varying affinity and concentration of substrates, time delay between the administration of the drugs, and mechanisms of CYP450 inhibition. Various types of CYP450 inhibition (competitive, non-competitive, mechanism-based) have been observed clinically, and interactions of these types require a distinct clinical management strategy. This review focuses on mechanism-based inhibition, which occurs when a substrate forms a reactive intermediate, creating a stable enzyme–intermediate complex that irreversibly reduces enzyme activity. -
Consistency, Inconsistency, and Ambiguity of Metabolite Names in Biochemical Databases Used for Genome-Scale Metabolic Modelling
H OH metabolites OH Article Consistency, Inconsistency, and Ambiguity of Metabolite Names in Biochemical Databases Used for Genome-Scale Metabolic Modelling Nhung Pham , Ruben G. A. van Heck † , Jesse C. J. van Dam , Peter J. Schaap , Edoardo Saccenti and Maria Suarez-Diez * Laboratory of Systems and Synthetic Biology; Wageningen University & Research, 6708 WE, Wageningen, The Netherlands; [email protected] (N.P.); [email protected] (R.G.A.v.H.); [email protected] (J.C.J.v.D.); [email protected] (P.J.S.); [email protected] (E.S.) * Correspondence: [email protected] † Current address: EDP Patent Attorneys, 6708 WH, Wageningen, The Netherlands. Received: 28 December 2018; Accepted: 31 January 2019; Published: 6 February 2019 Abstract: Genome-scale metabolic models (GEMs) are manually curated repositories describing the metabolic capabilities of an organism. GEMs have been successfully used in different research areas, ranging from systems medicine to biotechnology. However, the different naming conventions (namespaces) of databases used to build GEMs limit model reusability and prevent the integration of existing models. This problem is known in the GEM community, but its extent has not been analyzed in depth. In this study, we investigate the name ambiguity and the multiplicity of non-systematic identifiers and we highlight the (in)consistency in their use in 11 biochemical databases of biochemical reactions and the problems that arise when mapping between different namespaces and databases. We found that such inconsistencies can be as high as 83.1%, thus emphasizing the need for strategies to deal with these issues. Currently, manual verification of the mappings appears to be the only solution to remove inconsistencies when combining models. -
Ranking Metabolite Sets by Their Activity Levels
H OH metabolites OH Article Ranking Metabolite Sets by Their Activity Levels Karen McLuskey 1,† , Joe Wandy 1,† , Isabel Vincent 2 , Justin J. J. van der Hooft 3 , Simon Rogers 4 , Karl Burgess 5 and Rónán Daly 1,* 1 Glasgow Polyomics, University of Glasgow, Glasgow G61 1QH, UK; [email protected] (K.M.); [email protected] (J.W.) 2 IBioIC, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G1 1XQ, UK; [email protected] 3 Bioinformatics Group, Wageningen University, 6708 PB Wageningen, The Netherlands; [email protected] 4 School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK; [email protected] 5 Centre for Synthetic and Systems Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JG, UK; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work. Abstract: Related metabolites can be grouped into sets in many ways, e.g., by their participation in series of chemical reactions (forming metabolic pathways), or based on fragmentation spectral similarities or shared chemical substructures. Understanding how such metabolite sets change in relation to experimental factors can be incredibly useful in the interpretation and understanding of complex metabolomics data sets. However, many of the available tools that are used to perform this analysis are not entirely suitable for the analysis of untargeted metabolomics measurements. Here, we present PALS (Pathway Activity Level Scoring), a Python library, command line tool, and Web application that performs the ranking of significantly changing metabolite sets over different experimental conditions. -
Phenotypic Landscape Inference Reveals Multiple Evolutionary Paths to C4 Photosynthesis
RESEARCH ARTICLE elife.elifesciences.org Phenotypic landscape inference reveals multiple evolutionary paths to C4 photosynthesis Ben P Williams1†, Iain G Johnston2†, Sarah Covshoff1, Julian M Hibberd1* 1Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom; 2Department of Mathematics, Imperial College London, London, United Kingdom Abstract C4 photosynthesis has independently evolved from the ancestral C3 pathway in at least 60 plant lineages, but, as with other complex traits, how it evolved is unclear. Here we show that the polyphyletic appearance of C4 photosynthesis is associated with diverse and flexible evolutionary paths that group into four major trajectories. We conducted a meta-analysis of 18 lineages containing species that use C3, C4, or intermediate C3–C4 forms of photosynthesis to parameterise a 16-dimensional phenotypic landscape. We then developed and experimentally verified a novel Bayesian approach based on a hidden Markov model that predicts how the C4 phenotype evolved. The alternative evolutionary histories underlying the appearance of C4 photosynthesis were determined by ancestral lineage and initial phenotypic alterations unrelated to photosynthesis. We conclude that the order of C4 trait acquisition is flexible and driven by non-photosynthetic drivers. This flexibility will have facilitated the convergent evolution of this complex trait. DOI: 10.7554/eLife.00961.001 Introduction *For correspondence: Julian. The convergent evolution of complex traits is surprisingly common, with examples including camera- [email protected] like eyes of cephalopods, vertebrates, and cnidaria (Kozmik et al., 2008), mimicry in invertebrates and †These authors contributed vertebrates (Santos et al., 2003; Wilson et al., 2012) and the different photosynthetic machineries of equally to this work plants (Sage et al., 2011a). -
Metabolite Secretion in Microorganisms: the Theory of Metabolic Overflow Put to the Test
Metabolomics (2018) 14:43 https://doi.org/10.1007/s11306-018-1339-7 REVIEW ARTICLE Metabolite secretion in microorganisms: the theory of metabolic overflow put to the test Farhana R. Pinu1 · Ninna Granucci2 · James Daniell2,3 · Ting‑Li Han2 · Sonia Carneiro4 · Isabel Rocha4 · Jens Nielsen5,6 · Silas G. Villas‑Boas2 Received: 10 November 2017 / Accepted: 7 February 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Introduction Microbial cells secrete many metabolites during growth, including important intermediates of the central car- bon metabolism. This has not been taken into account by researchers when modeling microbial metabolism for metabolic engineering and systems biology studies. Materials and Methods The uptake of metabolites by microorganisms is well studied, but our knowledge of how and why they secrete different intracellular compounds is poor. The secretion of metabolites by microbial cells has traditionally been regarded as a consequence of intracellular metabolic overflow. Conclusions Here, we provide evidence based on time-series metabolomics data that microbial cells eliminate some metabo- lites in response to environmental cues, independent of metabolic overflow. Moreover, we review the different mechanisms of metabolite secretion and explore how this knowledge can benefit metabolic modeling and engineering. Keywords Microbial metabolism · Microorganisms · Active efflux · Secretion · Metabolic engineering · Metabolic modeling · Systems biology 1 Introduction Microorganisms have been used for the production of indus- trially relevant compounds for many years. Corynebacte- rium glutamicum and its mutants have been employed for the large-scale industrial production of glutamate, lysine Electronic supplementary material The online version of this and other flavor active amino acids (Hermann and Krämer article (https ://doi.org/10.1007/s1130 6-018-1339-7) contains 1996; Krämer 1994, 2004). -
AP Biology Life’S Beginning on Earth According to Scientific Findings (Associated Learning Objectives: 1.9, 1.10, 1.11, 1.12, 1.27, 1.28, 1.29, 1.30, 1.31, and 1.32)
AP Auburn University AP Summer Institute BIOLOGYJuly 11-14, 2016 AP Biology Life’s beginning on Earth according to scientific findings (Associated Learning Objectives: 1.9, 1.10, 1.11, 1.12, 1.27, 1.28, 1.29, 1.30, 1.31, and 1.32) I. The four steps necessary for life to emerge on Earth. (This is according to accepted scientific evidence.) A. First: An abiotic (non-living) synthesis of Amino Acids and Nucleic Acids must occur. 1. The RNA molecule is believed to have evolved first. It is not as molecularly stable as DNA though. 2. The Nucleic Acids (DNA or RNA) are essential for storing, retrieving, or conveying by inheritance molecular information on constructing the components of living cells.. 3. The Amino Acids, the building blocks of proteins, are needed to construct the “work horse” molecules of a cell. a. The majority of a cell or organism, in biomass (dry weight of an organism), is mostly protein. B. Second: Monomers must be able to join together to form more complex polymers using energy that is obtained from the surrounding environment. 1. Seen in monosaccharides (simple sugars) making polysaccharides (For energy storage or cell walls of plants.) 2. Seen in the making of phospholipids for cell membranes. 3. Seen in the making of messenger RNA used in making proteins using Amino Acids. 4. Seen in making chromosomes out of strings of DNA molecules. (For information storage.) C. Third: The RNA/DNA molecules form and gain the ability to reproduce and stabilize by using chemical bonds and complimentary bonding. -
Plant Sulphur Metabolism Is Stimulated by Photorespiration
ARTICLE https://doi.org/10.1038/s42003-019-0616-y OPEN Plant sulphur metabolism is stimulated by photorespiration Cyril Abadie1,2 & Guillaume Tcherkez 1* 1234567890():,; Intense efforts have been devoted to describe the biochemical pathway of plant sulphur (S) assimilation from sulphate. However, essential information on metabolic regulation of S assimilation is still lacking, such as possible interactions between S assimilation, photo- synthesis and photorespiration. In particular, does S assimilation scale with photosynthesis thus ensuring sufficient S provision for amino acids synthesis? This lack of knowledge is problematic because optimization of photosynthesis is a common target of crop breeding and furthermore, photosynthesis is stimulated by the inexorable increase in atmospheric CO2. Here, we used high-resolution 33S and 13C tracing technology with NMR and LC-MS to access direct measurement of metabolic fluxes in S assimilation, when photosynthesis and photorespiration are varied via the gaseous composition of the atmosphere (CO2,O2). We show that S assimilation is stimulated by photorespiratory metabolism and therefore, large photosynthetic fluxes appear to be detrimental to plant cell sulphur nutrition. 1 Research School of Biology, Australian National University, Canberra, ACT 2601, Australia. 2Present address: IRHS (Institut de Recherche en Horticulture et Semences), UMR 1345, INRA, Agrocampus-Ouest, Université d’Angers, SFR 4207 QuaSaV, 49071 Angers, Beaucouzé, France. *email: guillaume. [email protected] COMMUNICATIONS BIOLOGY -
Photorespiration Pathways in a Chemolithoautotroph
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.08.083683; this version posted May 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Photorespiration pathways in a chemolithoautotroph Nico J. Claassens*1, Giovanni Scarinci*1, Axel Fischer1, Avi I. Flamholz2, William Newell1, Stefan Frielingsdorf3, Oliver Lenz3, Arren Bar-Even†1 1Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany 2Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, United States. 3Institut für Chemie, Physikalische Chemie, Technische Universität Berlin, Strasse des 17. Juni 135, 10623 Berlin, Germany †corresponding author; phone: +49 331 567-8910; Email: [email protected] *contributed equally Key words: CO2 fixation; hydrogen-oxidizing bacteria; glyoxylate shunt; malate synthase; oxalate metabolism 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.05.08.083683; this version posted May 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. Abstract Carbon fixation via the Calvin cycle is constrained by the side activity of Rubisco with dioxygen, generating 2-phosphoglycolate. The metabolic recycling of 2-phosphoglycolate, an essential process termed photorespiration, was extensively studied in photoautotrophic organisms, including plants, algae, and cyanobacteria, but remains uncharacterized in chemolithoautotrophic bacteria. -
Mass Fractionation Laws, Mass-Independent Effects, and Isotopic Anomalies Nicolas Dauphas and Edwin A
EA44CH26-Dauphas ARI 10 June 2016 9:41 ANNUAL REVIEWS Further Click here to view this article's online features: • Download figures as PPT slides • Navigate linked references • Download citations Mass Fractionation Laws, • Explore related articles • Search keywords Mass-Independent Effects, and Isotopic Anomalies Nicolas Dauphas1,∗ and Edwin A. Schauble2 1Origins Laboratory, Department of the Geophysical Sciences and Enrico Fermi Institute, The University of Chicago, Chicago, Illinois 60637; email: [email protected] 2Department of Earth and Space Sciences, University of California, Los Angeles, California 90095 Annu. Rev. Earth Planet. Sci. 2016. 44:709–83 Keywords First published online as a Review in Advance on isotopes, fractionation, laws, NFS, nuclear, anomalies, nucleosynthesis, May 18, 2016 meteorites, planets The Annual Review of Earth and Planetary Sciences is online at earth.annualreviews.org Abstract This article’s doi: Isotopic variations usually follow mass-dependent fractionation, meaning 10.1146/annurev-earth-060115-012157 that the relative variations in isotopic ratios scale with the difference in Copyright c 2016 by Annual Reviews. mass of the isotopes involved (e.g., δ17O ≈ 0.5 × δ18O). In detail, how- All rights reserved ever, the mass dependence of isotopic variations is not always the same, ∗ Corresponding author and different natural processes can define distinct slopes in three-isotope diagrams. These variations are subtle, but improvements in analytical capa- Access provided by University of Chicago Libraries on 07/19/16. For personal use only. Annu. Rev. Earth Planet. Sci. 2016.44:709-783. Downloaded from www.annualreviews.org bilities now allow precise measurement of these effects and make it possi- ble to draw inferences about the natural processes that caused them (e.g., reaction kinetics versus equilibrium isotope exchange).