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      Identification of New PNEPs Indicates a Substantial Non-PEXEL Exportome and Underpins Common Features in Plasmodium falciparum Protein Export

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          Abstract

          Malaria blood stage parasites export a large number of proteins into their host erythrocyte to change it from a container of predominantly hemoglobin optimized for the transport of oxygen into a niche for parasite propagation. To understand this process, it is crucial to know which parasite proteins are exported into the host cell. This has been aided by the PEXEL/HT sequence, a five-residue motif found in many exported proteins, leading to the prediction of the exportome. However, several PEXEL/HT negative exported proteins (PNEPs) indicate that this exportome is incomplete and it remains unknown if and how many further PNEPs exist. Here we report the identification of new PNEPs in the most virulent malaria parasite Plasmodium falciparum. This includes proteins with a domain structure deviating from previously known PNEPs and indicates that PNEPs are not a rare exception. Unexpectedly, this included members of the MSP-7 related protein (MSRP) family, suggesting unanticipated functions of MSRPs. Analyzing regions mediating export of selected new PNEPs, we show that the first 20 amino acids of PNEPs without a classical N-terminal signal peptide are sufficient to promote export of a reporter, confirming the concept that this is a shared property of all PNEPs of this type. Moreover, we took advantage of newly found soluble PNEPs to show that this type of exported protein requires unfolding to move from the parasitophorous vacuole (PV) into the host cell. This indicates that soluble PNEPs, like PEXEL/HT proteins, are exported by translocation across the PV membrane (PVM), highlighting protein translocation in the parasite periphery as a general means in protein export of malaria parasites.

          Author Summary

          Malaria parasites multiply within erythrocytes, highly specialized cells that require profound alterations to support parasite survival. In order to understand how the parasite takes over the host cell it is necessary to know its molecular toolbox to carry out this process, which consists of the proteins exported from the parasite into the host cell. While many such proteins are known because they contain the clearly defined PEXEL/HT motif, an unknown number of further proteins lack such a motif. Here we present the identification of several of these PEXEL negative exported proteins (PNEPs). We analyzed the sequences mediating export in a subset of these proteins and find that in PNEPs lacking an N-terminal signal peptide, the N-terminal region of these proteins is sufficient to mediate export. Thus, despite the lack of a clear signature sequence, these regions share a property mediating export. In addition, we found evidence that suggests that soluble PNEPs get transported into the host cell by translocation across the parasitophorous membrane that surrounds the parasite. This adds a further group of proteins to share this property and highlights protein translocation as a general means of export in all types of malaria proteins tested so far.

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          Most cited references39

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          Human malaria parasites in continuous culture.

          Plasmodium falciparum can now be maintained in continuous culture in human erythrocytes incubated at 38 degrees C in RPMI 1640 medium with human serum under an atmosphere with 7 percent carbon dioxide and low oxygen (1 or 5 percent). The original parasite material, derived from an infected Aotus trivirgatus monkey, was diluted more than 100 million times by the addition of human erythrocytes at 3- or 4-day intervals. The parasites continued to reproduce in their normal asexual cycle of approximately 48 hours but were no longer highly synchronous. The have remained infective to Aotus.
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            A new generation of homology search tools based on probabilistic inference.

            Many theoretical advances have been made in applying probabilistic inference methods to improve the power of sequence homology searches, yet the BLAST suite of programs is still the workhorse for most of the field. The main reason for this is practical: BLAST's programs are about 100-fold faster than the fastest competing implementations of probabilistic inference methods. I describe recent work on the HMMER software suite for protein sequence analysis, which implements probabilistic inference using profile hidden Markov models. Our aim in HMMER3 is to achieve BLAST's speed while further improving the power of probabilistic inference based methods. HMMER3 implements a new probabilistic model of local sequence alignment and a new heuristic acceleration algorithm. Combined with efficient vector-parallel implementations on modern processors, these improvements synergize. HMMER3 uses more powerful log-odds likelihood scores (scores summed over alignment uncertainty, rather than scoring a single optimal alignment); it calculates accurate expectation values (E-values) for those scores without simulation using a generalization of Karlin/Altschul theory; it computes posterior distributions over the ensemble of possible alignments and returns posterior probabilities (confidences) in each aligned residue; and it does all this at an overall speed comparable to BLAST. The HMMER project aims to usher in a new generation of more powerful homology search tools based on probabilistic inference methods.
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              Discovery of gene function by expression profiling of the malaria parasite life cycle.

              The completion of the genome sequence for Plasmodium falciparum, the species responsible for most malaria human deaths, has the potential to reveal hundreds of new drug targets and proteins involved in pathogenesis. However, only approximately 35% of the genes code for proteins with an identifiable function. The absence of routine genetic tools for studying Plasmodium parasites suggests that this number is unlikely to change quickly if conventional serial methods are used to characterize encoded proteins. Here, we use a high-density oligonucleotide array to generate expression profiles of human and mosquito stages of the malaria parasite's life cycle. Genes with highly correlated levels and temporal patterns of expression were often involved in similar functions or cellular processes.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                plospath
                PLoS Pathogens
                Public Library of Science (San Francisco, USA )
                1553-7366
                1553-7374
                August 2013
                August 2013
                8 August 2013
                : 9
                : 8
                : e1003546
                Affiliations
                [1 ]Bernhard Nocht Institute for Tropical Medicine, Parasitology Section, Hamburg, Germany
                [2 ]Institute of Zoology and Zoological Museum, University of Hamburg, Hamburg, Germany
                [3 ]Swiss Federal Institute of Technology (ETH) Zürich, Department of Chemistry and Applied Biosciences, Zurich, Switzerland
                [4 ]Division of Parasitology, MRC National Institute for Medical Research, Mill Hill, London United Kingdom
                [5 ]M.G. DeGroote Institute for Infectious Disease Research and Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
                Philipps-University Marburg, Germany
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: TS AH TWG. Performed the experiments: AH FK CG SF AO SR PMR LH HS TS CP JAH. Analyzed the data: TS AH CP JAH. Contributed reagents/materials/analysis tools: MK AAH. Wrote the paper: TS AH.

                [¤a]

                Current address: Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, Massachusetts, United States of America.

                [¤b]

                Current address: Swiss Tropical and Public Health Institute, Medical Parasitology and Infection Biology, 4051 Basel, Switzerland and University of Basel, Basel, Switzerland.

                [¤c]

                Current address: Department of Biotechnology, RV College of Engineering, Bangalore, India.

                Article
                PPATHOGENS-D-13-00399
                10.1371/journal.ppat.1003546
                3738491
                23950716
                25632e37-04c7-4f49-8f75-17c77e650ac5
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 February 2013
                : 25 June 2013
                Page count
                Pages: 16
                Funding
                This work was funded by DFG grant SP1209/1. SF acknowledges the support of the GRK1459. Work in the Holder lab was funded by the UK MRC (U117532067), the US National Institutes of Health (HL078826) and the European Community's Seventh Framework Programme (FP7/2007–2013) under grant agreement N° 242095 (EviMalaR). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genomics
                Microbiology
                Host-Pathogen Interaction
                Parasitology
                Molecular Cell Biology
                Membranes and Sorting

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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