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Daakour S, Nelson DR, Fu W, Jaiswal A, Dohai B, Alzahmi AS, Koussa J, Huang X, Shen Y, Twizere JC, Salehi-Ashtiani K. Adaptive Evolution Signatures in Prochlorococcus: Open Reading Frame (ORF)eome Resources and Insights from Comparative Genomics. Microorganisms 2024; 12:1720. [PMID: 39203562 PMCID: PMC11357015 DOI: 10.3390/microorganisms12081720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 07/30/2024] [Accepted: 08/13/2024] [Indexed: 09/03/2024] Open
Abstract
Prochlorococcus, a cyanobacteria genus of the smallest and most abundant oceanic phototrophs, encompasses ecotype strains adapted to high-light (HL) and low-light (LL) niches. To elucidate the adaptive evolution of this genus, we analyzed 40 Prochlorococcus marinus ORFeomes, including two cornerstone strains, MED4 and NATL1A. Employing deep learning with robust statistical methods, we detected new protein family distributions in the strains and identified key genes differentiating the HL and LL strains. The HL strains harbor genes (ABC-2 transporters) related to stress resistance, such as DNA repair and RNA processing, while the LL strains exhibit unique chlorophyll adaptations (ion transport proteins, HEAT repeats). Additionally, we report the finding of variable, depth-dependent endogenous viral elements in the 40 strains. To generate biological resources to experimentally study the HL and LL adaptations, we constructed the ORFeomes of two representative strains, MED4 and NATL1A synthetically, covering 99% of the annotated protein-coding sequences of the two species, totaling 3976 cloned, sequence-verified open reading frames (ORFs). These comparative genomic analyses, paired with MED4 and NATL1A ORFeomes, will facilitate future genotype-to-phenotype mappings and the systems biology exploration of Prochlorococcus ecology.
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Affiliation(s)
- Sarah Daakour
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - David R. Nelson
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Weiqi Fu
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
- Department of Marine Science, Ocean College, Zhejiang University, Zhoushan 316021, China
| | - Ashish Jaiswal
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Bushra Dohai
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
- Helmholtz Center Munich, Institute of Network Biology (INET), German Research Center for Environmental Health, 85764 Munich, Germany
| | - Amnah Salem Alzahmi
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
- Laboratory of Viral Interactomes Networks, Unit of Molecular & Computational Biology, Interdisciplinary Cluster for Applied Genoproteomics (GIGA Institute), University of Liège, 4000 Liège, Belgium
| | - Joseph Koussa
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
- Department of Biology, New York University, New York, NY 10012, USA
- Department of Chemical and Biological Sciences, Montgomery College, Germantown, MD 20850, USA
| | - Xiaoluo Huang
- Genome Synthesis and Editing Platform, China National GeneBank (CNGB), BGI-Research, Shenzhen 518120, China; (X.H.); (Y.S.)
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Beijing 100045, China
| | - Yue Shen
- Genome Synthesis and Editing Platform, China National GeneBank (CNGB), BGI-Research, Shenzhen 518120, China; (X.H.); (Y.S.)
| | - Jean-Claude Twizere
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
- Laboratory of Viral Interactomes Networks, Unit of Molecular & Computational Biology, Interdisciplinary Cluster for Applied Genoproteomics (GIGA Institute), University of Liège, 4000 Liège, Belgium
| | - Kourosh Salehi-Ashtiani
- Center for Genomics and Systems Biology (CGSB), New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates; (S.D.); (D.R.N.); (W.F.); (A.J.); (B.D.); (A.S.A.); (J.K.); (J.-C.T.)
- Division of Science and Math, New York University-Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
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Jackson PJ, Hitchcock A, Brindley AA, Dickman MJ, Hunter CN. Absolute quantification of cellular levels of photosynthesis-related proteins in Synechocystis sp. PCC 6803. PHOTOSYNTHESIS RESEARCH 2023; 155:219-245. [PMID: 36542271 PMCID: PMC9958174 DOI: 10.1007/s11120-022-00990-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Quantifying cellular components is a basic and important step for understanding how a cell works, how it responds to environmental changes, and for re-engineering cells to produce valuable metabolites and increased biomass. We quantified proteins in the model cyanobacterium Synechocystis sp. PCC 6803 given the general importance of cyanobacteria for global photosynthesis, for synthetic biology and biotechnology research, and their ancestral relationship to the chloroplasts of plants. Four mass spectrometry methods were used to quantify cellular components involved in the biosynthesis of chlorophyll, carotenoid and bilin pigments, membrane assembly, the light reactions of photosynthesis, fixation of carbon dioxide and nitrogen, and hydrogen and sulfur metabolism. Components of biosynthetic pathways, such as those for chlorophyll or for photosystem II assembly, range between 1000 and 10,000 copies per cell, but can be tenfold higher for CO2 fixation enzymes. The most abundant subunits are those for photosystem I, with around 100,000 copies per cell, approximately 2 to fivefold higher than for photosystem II and ATP synthase, and 5-20 fold more than for the cytochrome b6f complex. Disparities between numbers of pathway enzymes, between components of electron transfer chains, and between subunits within complexes indicate possible control points for biosynthetic processes, bioenergetic reactions and for the assembly of multisubunit complexes.
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Affiliation(s)
- Philip J Jackson
- Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK.
- Department of Chemical and Biological Engineering, University of Sheffield, Sheffield, S1 3JD, UK.
| | - Andrew Hitchcock
- Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK
| | - Amanda A Brindley
- Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK
| | - Mark J Dickman
- Department of Chemical and Biological Engineering, University of Sheffield, Sheffield, S1 3JD, UK
| | - C Neil Hunter
- Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield, S10 2TN, UK
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Lambertz J, Liauw P, Whitelegge JP, Nowaczyk MM. Mass spectrometry analysis of the photosystem II assembly factor Psb27 revealed variations in its lipid modification. PHOTOSYNTHESIS RESEARCH 2022; 152:305-316. [PMID: 34910272 PMCID: PMC9458691 DOI: 10.1007/s11120-021-00891-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 12/03/2021] [Indexed: 06/14/2023]
Abstract
The assembly of large, multi-cofactor membrane protein complexes like photosystem II (PSII) requires a high level of coordination. The process is facilitated by a large network of auxiliary proteins that bind transiently to unassembled subunits, preassembled modules or intermediate states of PSII, which are comprised of a subset of subunits. However, analysis of these immature, partially assembled PSII complexes is hampered by their low abundance and intrinsic instability. In this study, PSII was purified from the thermophilic cyanobacterium Thermosynechococcus elongatus via Twin-Strep-tagged CP43 and further separated by ion exchange chromatography into mature and immature complexes. Mass spectrometry analysis of the immature Psb27-PSII intermediate revealed six different Psb27 proteoforms with distinct lipid modifications. The maturation and functional role of thylakoid localized lipoproteins are discussed.
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Affiliation(s)
- Jan Lambertz
- Plant Biochemistry, Faculty of Biology and Biotechnology, Ruhr-University Bochum, Bochum, Germany
| | - Pasqual Liauw
- Plant Biochemistry, Faculty of Biology and Biotechnology, Ruhr-University Bochum, Bochum, Germany
| | - Julian P Whitelegge
- The Pasarow Mass Spectrometry Laboratory, David Geffen School of Medicine, The Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, 90095, USA
| | - Marc M Nowaczyk
- Plant Biochemistry, Faculty of Biology and Biotechnology, Ruhr-University Bochum, Bochum, Germany.
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4
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Muth-Pawlak D, Kreula S, Gollan PJ, Huokko T, Allahverdiyeva Y, Aro EM. Patterning of the Autotrophic, Mixotrophic, and Heterotrophic Proteomes of Oxygen-Evolving Cyanobacterium Synechocystis sp. PCC 6803. Front Microbiol 2022; 13:891895. [PMID: 35694301 PMCID: PMC9175036 DOI: 10.3389/fmicb.2022.891895] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 03/25/2022] [Indexed: 11/13/2022] Open
Abstract
Proteomes of an oxygenic photosynthetic cyanobacterium, Synechocystis sp. PCC 6803, were analyzed under photoautotrophic (low and high CO2, assigned as ATLC and ATHC), photomixotrophic (MT), and light-activated heterotrophic (LAH) conditions. Allocation of proteome mass fraction to seven sub-proteomes and differential expression of individual proteins were analyzed, paying particular attention to photosynthesis and carbon metabolism–centered sub-proteomes affected by the quality and quantity of the carbon source and light regime upon growth. A distinct common feature of the ATHC, MT, and LAH cultures was low abundance of inducible carbon-concentrating mechanisms and photorespiration-related enzymes, independent of the inorganic or organic carbon source. On the other hand, these cells accumulated a respiratory NAD(P)H dehydrogenase I (NDH-11) complex in the thylakoid membrane (TM). Additionally, in glucose-supplemented cultures, a distinct NDH-2 protein, NdbA, accumulated in the TM, while the plasma membrane-localized NdbC and terminal oxidase decreased in abundance in comparison to both AT conditions. Photosynthetic complexes were uniquely depleted under the LAH condition but accumulated under the ATHC condition. The MT proteome displayed several heterotrophic features typical of the LAH proteome, particularly including the high abundance of ribosome as well as amino acid and protein biosynthesis machinery-related components. It is also noteworthy that the two equally light-exposed ATHC and MT cultures allocated similar mass fractions of the total proteome to the seven distinct sub-proteomes. Unique trophic condition-specific expression patterns were likewise observed among individual proteins, including the accumulation of phosphate transporters and polyphosphate polymers storing energy surplus in highly energetic bonds under the MT condition and accumulation under the LAH condition of an enzyme catalyzing cyanophycin biosynthesis. It is concluded that the rigor of cell growth in the MT condition results, to a great extent, by combining photosynthetic activity with high intracellular inorganic carbon conditions created upon glucose breakdown and release of CO2, besides the direct utilization of glucose-derived carbon skeletons for growth. This combination provides the MT cultures with excellent conditions for growth that often exceeds that of mere ATHC.
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5
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Advances in the Understanding of the Lifecycle of Photosystem II. Microorganisms 2022; 10:microorganisms10050836. [PMID: 35630282 PMCID: PMC9145668 DOI: 10.3390/microorganisms10050836] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/14/2022] [Accepted: 04/16/2022] [Indexed: 02/04/2023] Open
Abstract
Photosystem II is a light-driven water-plastoquinone oxidoreductase present in cyanobacteria, algae and plants. It produces molecular oxygen and protons to drive ATP synthesis, fueling life on Earth. As a multi-subunit membrane-protein-pigment complex, Photosystem II undergoes a dynamic cycle of synthesis, damage, and repair known as the Photosystem II lifecycle, to maintain a high level of photosynthetic activity at the cellular level. Cyanobacteria, oxygenic photosynthetic bacteria, are frequently used as model organisms to study oxygenic photosynthetic processes due to their ease of growth and genetic manipulation. The cyanobacterial PSII structure and function have been well-characterized, but its lifecycle is under active investigation. In this review, advances in studying the lifecycle of Photosystem II in cyanobacteria will be discussed, with a particular emphasis on new structural findings enabled by cryo-electron microscopy. These structural findings complement a rich and growing body of biochemical and molecular biology research into Photosystem II assembly and repair.
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6
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Riediger M, Spät P, Bilger R, Voigt K, Maček B, Hess WR. Analysis of a photosynthetic cyanobacterium rich in internal membrane systems via gradient profiling by sequencing (Grad-seq). THE PLANT CELL 2021; 33:248-269. [PMID: 33793824 PMCID: PMC8136920 DOI: 10.1093/plcell/koaa017] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 11/12/2020] [Indexed: 05/23/2023]
Abstract
Although regulatory small RNAs have been reported in photosynthetic cyanobacteria, the lack of clear RNA chaperones involved in their regulation poses a conundrum. Here, we analyzed the full complement of cellular RNAs and proteins using gradient profiling by sequencing (Grad-seq) in Synechocystis 6803. Complexes with overlapping subunits such as the CpcG1-type versus the CpcL-type phycobilisomes or the PsaK1 versus PsaK2 photosystem I pre(complexes) could be distinguished, supporting the high quality of this approach. Clustering of the in-gradient distribution profiles followed by several additional criteria yielded a short list of potential RNA chaperones that include an YlxR homolog and a cyanobacterial homolog of the KhpA/B complex. The data suggest previously undetected complexes between accessory proteins and CRISPR-Cas systems, such as a Csx1-Csm6 ribonucleolytic defense complex. Moreover, the exclusive association of either RpoZ or 6S RNA with the core RNA polymerase complex and the existence of a reservoir of inactive sigma-antisigma complexes is suggested. The Synechocystis Grad-seq resource is available online at https://sunshine.biologie.uni-freiburg.de/GradSeqExplorer/ providing a comprehensive resource for the functional assignment of RNA-protein complexes and multisubunit protein complexes in a photosynthetic organism.
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Affiliation(s)
- Matthias Riediger
- Genetics and Experimental Bioinformatics, Faculty of Biology, University of Freiburg, Schänzlestr. 1, 79104 Freiburg, Germany
| | - Philipp Spät
- Department of Quantitative Proteomics, Interfaculty Institute for Cell Biology, University of Tübingen, Auf der Morgenstelle 15, 72076 Tübingen, Germany
| | - Raphael Bilger
- Genetics and Experimental Bioinformatics, Faculty of Biology, University of Freiburg, Schänzlestr. 1, 79104 Freiburg, Germany
| | - Karsten Voigt
- IT Administration, Institute of Biology 3, Faculty of Biology, University of Freiburg, Schänzlestr. 1, 79104 Freiburg, Germany
| | - Boris Maček
- Department of Quantitative Proteomics, Interfaculty Institute for Cell Biology, University of Tübingen, Auf der Morgenstelle 15, 72076 Tübingen, Germany
| | - Wolfgang R Hess
- Genetics and Experimental Bioinformatics, Faculty of Biology, University of Freiburg, Schänzlestr. 1, 79104 Freiburg, Germany
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Sangphukieo A, Laomettachit T, Ruengjitchatchawalya M. PhotoModPlus: A web server for photosynthetic protein prediction from genome neighborhood features. PLoS One 2021; 16:e0248682. [PMID: 33730083 PMCID: PMC7968678 DOI: 10.1371/journal.pone.0248682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 03/03/2021] [Indexed: 11/20/2022] Open
Abstract
A new web server called PhotoModPlus is presented as a platform for predicting photosynthetic proteins via genome neighborhood networks (GNN) and genome neighborhood-based machine learning. GNN enables users to visualize the overview of the conserved neighboring genes from multiple photosynthetic prokaryotic genomes and provides functional guidance on the query input. In the platform, we also present a new machine learning model utilizing genome neighborhood features for predicting photosynthesis-specific functions based on 24 prokaryotic photosynthesis-related GO terms, namely PhotoModGO. The new model performed better than the sequence-based approaches with an F1 measure of 0.872, based on nested five-fold cross-validation. Finally, we demonstrated the applications of the webserver and the new model in the identification of novel photosynthetic proteins. The server is user-friendly, compatible with all devices, and available at bicep.kmutt.ac.th/photomod.
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Affiliation(s)
- Apiwat Sangphukieo
- Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut’s University of Technology Thonburi (KMUTT), Bang Khun Thian, Bangkok, Thailand
- School of Information Technology, KMUTT, Thung Khru, Bangkok, Thailand
| | - Teeraphan Laomettachit
- Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut’s University of Technology Thonburi (KMUTT), Bang Khun Thian, Bangkok, Thailand
| | - Marasri Ruengjitchatchawalya
- Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut’s University of Technology Thonburi (KMUTT), Bang Khun Thian, Bangkok, Thailand
- Biotechnology Program, School of Bioresources and Technology, KMUTT, Bang Khun Thian, Bangkok, Thailand
- Algal Biotechnology Research Group, Pilot Plant Development and Training Institute, KMUTT, Bang Khun Thian, Bangkok, Thailand
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8
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Sangphukieo A, Laomettachit T, Ruengjitchatchawalya M. Photosynthetic protein classification using genome neighborhood-based machine learning feature. Sci Rep 2020; 10:7108. [PMID: 32346070 PMCID: PMC7189237 DOI: 10.1038/s41598-020-64053-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 04/07/2020] [Indexed: 11/08/2022] Open
Abstract
Identification of novel photosynthetic proteins is important for understanding and improving photosynthetic efficiency. Synergistically, genome neighborhood can provide additional useful information to identify photosynthetic proteins. We, therefore, expected that applying a computational approach, particularly machine learning (ML) with the genome neighborhood-based feature should facilitate the photosynthetic function assignment. Our results revealed a functional relationship between photosynthetic genes and their conserved neighboring genes observed by 'Phylo score', indicating their functions could be inferred from the genome neighborhood profile. Therefore, we created a new method for extracting patterns based on the genome neighborhood network (GNN) and applied them for the photosynthetic protein classification using ML algorithms. Random forest (RF) classifier using genome neighborhood-based features achieved the highest accuracy up to 87% in the classification of photosynthetic proteins and also showed better performance (Mathew's correlation coefficient = 0.718) than other available tools including the sequence similarity search (0.447) and ML-based method (0.361). Furthermore, we demonstrated the ability of our model to identify novel photosynthetic proteins compared to the other methods. Our classifier is available at http://bicep2.kmutt.ac.th/photomod_standalone, https://bit.ly/2S0I2Ox and DockerHub: https://hub.docker.com/r/asangphukieo/photomod.
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Affiliation(s)
- Apiwat Sangphukieo
- Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bang Khun Thian, Bangkok, 10150, Thailand
- School of Information Technology, KMUTT, Bang Mod, Thung Khru, Bangkok, 10140, Thailand
| | - Teeraphan Laomettachit
- Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bang Khun Thian, Bangkok, 10150, Thailand
| | - Marasri Ruengjitchatchawalya
- Bioinformatics and Systems Biology Program, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi (KMUTT), Bang Khun Thian, Bangkok, 10150, Thailand.
- Biotechnology program, School of Bioresources and Technology, KMUTT, Bang Khun Thian, Bangkok, 10150, Thailand.
- Algal Biotechnology Research Group, Pilot Plant Development and Training Institute (PDTI), KMUTT, Bang Khun Thian, Bangkok, 10150, Thailand.
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9
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Rast A, Schaffer M, Albert S, Wan W, Pfeffer S, Beck F, Plitzko JM, Nickelsen J, Engel BD. Biogenic regions of cyanobacterial thylakoids form contact sites with the plasma membrane. NATURE PLANTS 2019; 5:436-446. [PMID: 30962530 DOI: 10.1038/s41477-019-0399-7] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 03/04/2019] [Indexed: 05/20/2023]
Abstract
Little is known about how the photosynthetic machinery is arranged in time and space during the biogenesis of thylakoid membranes. Using in situ cryo-electron tomography to image the three-dimensional architecture of the cyanobacterium Synechocystis, we observed that the tips of multiple thylakoids merge to form a substructure called the 'convergence membrane'. This high-curvature membrane comes into close contact with the plasma membrane at discrete sites. We generated subtomogram averages of 70S ribosomes and array-forming phycobilisomes, then mapped these structures onto the native membrane architecture as markers for protein synthesis and photosynthesis, respectively. This molecular localization identified two distinct biogenic regions in the thylakoid network: thylakoids facing the cytosolic interior of the cell that were associated with both marker complexes, and convergence membranes that were decorated by ribosomes but not phycobilisomes. We propose that the convergence membranes perform a specialized biogenic function, coupling the synthesis of thylakoid proteins with the integration of cofactors from the plasma membrane and the periplasmic space.
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Affiliation(s)
- Anna Rast
- Department of Molecular Plant Sciences, Ludwig-Maximilians-University Munich, Martinsried, Germany
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Miroslava Schaffer
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Sahradha Albert
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - William Wan
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Stefan Pfeffer
- Center for Molecular Biology, University of Heidelberg, Heidelberg, Germany
| | - Florian Beck
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jürgen M Plitzko
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jörg Nickelsen
- Department of Molecular Plant Sciences, Ludwig-Maximilians-University Munich, Martinsried, Germany.
| | - Benjamin D Engel
- Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried, Germany.
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Angeleri M, Muth-Pawlak D, Wilde A, Aro EM, Battchikova N. Global proteome response ofSynechocystis6803 to extreme copper environments applied to control the activity of the induciblepetJpromoter. J Appl Microbiol 2019; 126:826-841. [DOI: 10.1111/jam.14182] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 12/18/2018] [Accepted: 12/19/2018] [Indexed: 12/18/2022]
Affiliation(s)
- M. Angeleri
- Molecular Plant Biology; Department of Biochemistry; University of Turku; Turku Finland
| | - D. Muth-Pawlak
- Molecular Plant Biology; Department of Biochemistry; University of Turku; Turku Finland
| | - A. Wilde
- Molecular Genetics of Prokaryotes; University of Freiburg; Freiburg Germany
| | - E.-M. Aro
- Molecular Plant Biology; Department of Biochemistry; University of Turku; Turku Finland
| | - N. Battchikova
- Molecular Plant Biology; Department of Biochemistry; University of Turku; Turku Finland
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11
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The S-layer biogenesis system of Synechocystis 6803: Role of Sll1180 and Sll1181 (E. coli HlyB and HlyD analogs) as type-I secretion components for Sll1951 export. BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES 2018; 1860:1436-1446. [DOI: 10.1016/j.bbamem.2018.04.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 04/12/2018] [Accepted: 04/13/2018] [Indexed: 12/23/2022]
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12
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Angeleri M, Zorina A, Aro EM, Battchikova N. Interplay of SpkG kinase and the Slr0151 protein in the phosphorylation of ferredoxin 5 in Synechocystis
sp. strain PCC 6803. FEBS Lett 2018; 592:411-421. [DOI: 10.1002/1873-3468.12970] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 12/29/2017] [Accepted: 01/02/2018] [Indexed: 11/11/2022]
Affiliation(s)
- Martina Angeleri
- Molecular Plant Biology; Department of Biochemistry; University of Turku; Finland
| | - Anna Zorina
- Institute of Plant Physiology; Laboratory of Intracellular Regulation; Russian Academy of Sciences; Moscow Russia
| | - Eva-Mari Aro
- Molecular Plant Biology; Department of Biochemistry; University of Turku; Finland
| | - Natalia Battchikova
- Molecular Plant Biology; Department of Biochemistry; University of Turku; Finland
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13
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Abstract
Photosynthesis is central to all life on earth, providing not only oxygen but also organic compounds that are synthesized from atmospheric CO 2 and water using light energy as the driving force. The still-increasing world population poses a serious challenge to further enhance biomass production of crop plants. Crop yield is determined by various parameters, inter alia by the light energy conversion efficiency of the photosynthetic machinery. Photosynthesis can be looked at from different perspectives: (i) light reactions and carbon assimilation, (ii) leaves and canopy structure, and (ii) source-sink relationships. In this review, we discuss opportunities and prospects to increase photosynthetic performance at the different layers, taking into account the recent progress made in the respective fields.
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Affiliation(s)
- Ulf-Ingo Flügge
- Cologne Biocenter, Botanical Institute II and Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne, Cologne, Germany
| | - Peter Westhoff
- Department of Biology and Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich-Heine University, Düsseldorf, Germany
| | - Dario Leister
- Plant Molecular Biology, Department of Biology I, Ludwig-Maximilians-University, Munich, Germany
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14
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Heinz S, Rast A, Shao L, Gutu A, Gügel IL, Heyno E, Labs M, Rengstl B, Viola S, Nowaczyk MM, Leister D, Nickelsen J. Thylakoid Membrane Architecture in Synechocystis Depends on CurT, a Homolog of the Granal CURVATURE THYLAKOID1 Proteins. THE PLANT CELL 2016; 28:2238-2260. [PMID: 27543090 PMCID: PMC5059811 DOI: 10.1105/tpc.16.00491] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 08/05/2016] [Accepted: 08/17/2016] [Indexed: 05/21/2023]
Abstract
Photosynthesis occurs in thylakoids, a highly specialized membrane system. In the cyanobacterium Synechocystis sp PCC 6803 (hereafter Synechocystis 6803), the thylakoids are arranged parallel to the plasma membrane and occasionally converge toward it to form biogenesis centers. The initial steps in PSII assembly are thought to take place in these regions, which contain a membrane subcompartment harboring the early assembly factor PratA and are referred to as PratA-defined membranes (PDMs). Loss of CurT, the Synechocystis 6803 homolog of Arabidopsis thaliana grana-shaping proteins of the CURVATURE THYLAKOID1 family, results in disrupted thylakoid organization and the absence of biogenesis centers. As a consequence, PSII is less efficiently assembled and accumulates to only 50% of wild-type levels. CurT induces membrane curvature in vitro and is distributed all over the thylakoids, with local concentrations at biogenesis centers. There it forms a sophisticated tubular network at the cell periphery, as revealed by live-cell imaging. CurT is part of several high molecular mass complexes, and Blue Native/SDS-PAGE and isoelectric focusing demonstrated that different isoforms associate with PDMs and thylakoids. Moreover, CurT deficiency enhances sensitivity to osmotic stress, adding a level of complexity to CurT function. We propose that CurT is crucial for the differentiation of membrane architecture, including the formation of PSII-related biogenesis centers, in Synechocystis 6803.
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Affiliation(s)
- Steffen Heinz
- Molekulare Pflanzenwissenschaften, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
| | - Anna Rast
- Molekulare Pflanzenwissenschaften, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
| | - Lin Shao
- Molekulare Pflanzenwissenschaften, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
| | - Andrian Gutu
- Department of Molecular and Cellular Biology, FAS Center for Systems Biology, Harvard University, Cambridge, Massachusetts 02138
| | - Irene L Gügel
- Biochemie und Physiologie der Pflanzen, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
- Munich Centre for Integrated Protein Science CiPSM, Ludwig-Maximilians-Universität München, Department of Chemistry and Biochemistry, 81377 Munich, Germany
| | - Eiri Heyno
- Biochemie der Pflanzen, Ruhr-Universität Bochum, 44801 Bochum, Germany
- Max-Planck-Institut für Chemische Energiekonversion, 45470 Mülheim an der Ruhr, Germany
| | - Mathias Labs
- Molekularbiologie der Pflanzen, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
| | - Birgit Rengstl
- Molekulare Pflanzenwissenschaften, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
| | - Stefania Viola
- Molekularbiologie der Pflanzen, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
| | - Marc M Nowaczyk
- Biochemie der Pflanzen, Ruhr-Universität Bochum, 44801 Bochum, Germany
| | - Dario Leister
- Molekularbiologie der Pflanzen, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
| | - Jörg Nickelsen
- Molekulare Pflanzenwissenschaften, Ludwig-Maximilians-Universität München, Biozentrum, 82152 Planegg-Martinsried, Germany
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