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      Determinism and contingencies shaped the evolution of mitochondrial protein import

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          Significance

          All mitochondria import most of their proteins from the cytosol. Even though the targeting signals of imported proteins are well conserved within eukaryotes, this is not the case for the mitochondrial outer membrane receptors that recognize these signals. Here we compare the substrate preferences of protein import receptors from the parasitic protozoans Trypanosoma brucei and Trichomonas vaginalis, as well as from yeast. Using biochemical and proteomic analysis, combined with complementation experiments, we show that evolutionarily unrelated receptors can share the same substrate preferences. Moreover, we provide evidence that receptors sharing the same domain structure and topology can have different substrate specificity. In summary, our study illustrates how determinism and contingencies have shaped the evolution of mitochondrial import receptors.

          Abstract

          Mitochondrial protein import requires outer membrane receptors that evolved independently in different lineages. Here we used quantitative proteomics and in vitro binding assays to investigate the substrate preferences of ATOM46 and ATOM69, the two mitochondrial import receptors of Trypanosoma brucei. The results show that ATOM46 prefers presequence-containing, hydrophilic proteins that lack transmembrane domains (TMDs), whereas ATOM69 prefers presequence-lacking, hydrophobic substrates that have TMDs. Thus, the ATOM46/yeast Tom20 and the ATOM69/yeast Tom70 pairs have similar substrate preferences. However, ATOM46 mainly uses electrostatic, and Tom20 hydrophobic, interactions for substrate binding. In vivo replacement of T. brucei ATOM46 by yeast Tom20 did not restore import. However, replacement of ATOM69 by the recently discovered Tom36 receptor of Trichomonas hydrogenosomes, while not allowing for growth, restored import of a large subset of trypanosomal proteins that lack TMDs. Thus, even though ATOM69 and Tom36 share the same domain structure and topology, they have different substrate preferences. The study establishes complementation experiments, combined with quantitative proteomics, as a highly versatile and sensitive method to compare in vivo preferences of protein import receptors. Moreover, it illustrates the role determinism and contingencies played in the evolution of mitochondrial protein import receptors.

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          Most cited references52

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          MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

          Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
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            Andromeda: a peptide search engine integrated into the MaxQuant environment.

            A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.
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              A tightly regulated inducible expression system for conditional gene knock-outs and dominant-negative genetics in Trypanosoma brucei.

              First-generation inducible expression vectors for Trypanosoma brucei utilized a single tetracycline-responsive promoter to drive expression of an experimental gene, in tandem with a drug-resistance marker gene to select for integration (Wirtz E, Clayton CE. Science 1995; 268:1179-1183). Because drug resistance and experimental gene expression both depended upon the activity of the regulated promoter, this approach could not be used for inducible expression of toxic products. We have now developed a dual-promoter approach, for expressing highly toxic products and generating conditional gene knock-outs, using back-to-back constitutive T7 and tetracycline-responsive PARP promoters to drive expression of the selectable marker and test gene, respectively. Transformants are readily obtained with these vectors in the absence of tetracycline, in bloodstream or procyclic T. brucei cell lines co-expressing T7 RNA polymerase and Tet repressor, and consistently show tetracycline-responsive expression through a 10(3)-10(4)-fold range. Uninduced background expression of a luciferase reporter averages no more than one molecule per cell, enabling dominant-negative approaches relying upon inducible expression of toxic products. This tight regulation also permits the production of functional gene knock-outs through regulated expression of an experimental gene in a null-mutant background.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                09 February 2021
                01 February 2021
                01 February 2021
                : 118
                : 6
                : e2017774118
                Affiliations
                [1] aDepartment of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern , CH-3012 Bern, Switzerland;
                [2] bBiochemistry and Functional Proteomics, Institute of Biology II, Faculty of Biology, University of Freiburg , 79104 Freiburg, Germany;
                [3] cSignalling Research Centres BIOSS and CIBSS, University of Freiburg , 79104 Freiburg, Germany;
                [4] dDepartment of Parasitology, Faculty of Science, Charles University , BIOCEV, 12843 Prague, Czech Republic
                Author notes

                Edited by Michael W. Gray, Dalhousie University, Halifax, NS, Canada, and accepted by Editorial Board Member W. F. Doolittle December 19, 2020 (received for review August 21, 2020)

                Author contributions: S.R., B.W., and A.S. designed research; S.R. and S.O. performed research; S.R., S.O., A.M., J.T., and B.W. contributed new reagents/analytic tools; S.R., S.O., B.W., and A.S. analyzed data; and S.R., B.W., and A.S. wrote the paper.

                Author information
                https://orcid.org/0000-0001-5096-1975
                https://orcid.org/0000-0001-5421-0909
                Article
                202017774
                10.1073/pnas.2017774118
                8017667
                33526678
                26e3f6a5-e581-462f-a6a7-8bd1fdf5cb4b
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 10
                Funding
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) 501100001711
                Award ID: 175563
                Award Recipient : André Schneider
                Funded by: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) 501100001711
                Award ID: NCCR RNA & Disease
                Award Recipient : André Schneider
                Funded by: Grant Agency of Charles University
                Award ID: GAUK 250937
                Award Recipient : Abhijith Makki Award Recipient : Jan Tachezy Award Recipient : Bettina Warscheid
                Funded by: ERD Funds
                Award ID: CePaViP
                Award ID: CZ.02.1.01/ 0.0/0.0/16_019/0000759
                Award Recipient : Abhijith Makki Award Recipient : Jan Tachezy Award Recipient : Bettina Warscheid
                Funded by: European Research Council Consolidator Grant
                Award ID: 648235
                Award Recipient : Abhijith Makki Award Recipient : Jan Tachezy Award Recipient : Bettina Warscheid
                Funded by: Deutsche Forschungsgemeinschaft (DFG) 501100001659
                Award ID: ID 403222702/SFB 1381
                Award Recipient : Bettina Warscheid
                Funded by: Germany's Excellence Strategy
                Award ID: CIBSS - EXC-2189 - Project ID 390939984
                Award Recipient : Abhijith Makki Award Recipient : Jan Tachezy Award Recipient : Bettina Warscheid
                Categories
                418
                Biological Sciences
                Evolution

                mitochondria,protein import,receptors,trypanosoma,trichomonas

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