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FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species

BACKGROUND: Protozoan parasites are known to attach specific and diverse group of proteins to their plasma membrane via a GPI anchor. In malaria parasites, GPI-anchored proteins (GPI-APs) have been shown to play an important role in host–pathogen interactions and a key function in host cell invasion...

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Autores principales: Sauer, Lena M., Canovas, Rodrigo, Roche, Daniel, Shams-Eldin, Hosam, Ravel, Patrice, Colinge, Jacques, Schwarz, Ralph T., Ben Mamoun, Choukri, Rivals, Eric, Cornillot, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876418/
https://www.ncbi.nlm.nih.gov/pubmed/36698187
http://dx.doi.org/10.1186/s12936-022-04430-0
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author Sauer, Lena M.
Canovas, Rodrigo
Roche, Daniel
Shams-Eldin, Hosam
Ravel, Patrice
Colinge, Jacques
Schwarz, Ralph T.
Ben Mamoun, Choukri
Rivals, Eric
Cornillot, Emmanuel
author_facet Sauer, Lena M.
Canovas, Rodrigo
Roche, Daniel
Shams-Eldin, Hosam
Ravel, Patrice
Colinge, Jacques
Schwarz, Ralph T.
Ben Mamoun, Choukri
Rivals, Eric
Cornillot, Emmanuel
author_sort Sauer, Lena M.
collection PubMed
description BACKGROUND: Protozoan parasites are known to attach specific and diverse group of proteins to their plasma membrane via a GPI anchor. In malaria parasites, GPI-anchored proteins (GPI-APs) have been shown to play an important role in host–pathogen interactions and a key function in host cell invasion and immune evasion. Because of their immunogenic properties, some of these proteins have been considered as malaria vaccine candidates. However, identification of all possible GPI-APs encoded by these parasites remains challenging due to their sequence diversity and limitations of the tools used for their characterization. METHODS: The FT-GPI software was developed to detect GPI-APs based on the presence of a hydrophobic helix at both ends of the premature peptide. FT-GPI was implemented in C ++and applied to study the GPI-proteome of 46 isolates of the order Haemosporida. Using the GPI proteome of Plasmodium falciparum strain 3D7 and Plasmodium vivax strain Sal-1, a heuristic method was defined to select the most sensitive and specific FT-GPI software parameters. RESULTS: FT-GPI enabled revision of the GPI-proteome of P. falciparum and P. vivax, including the identification of novel GPI-APs. Orthology- and synteny-based analyses showed that 19 of the 37 GPI-APs found in the order Haemosporida are conserved among Plasmodium species. Our analyses suggest that gene duplication and deletion events may have contributed significantly to the evolution of the GPI proteome, and its composition correlates with speciation. CONCLUSION: FT-GPI-based prediction is a useful tool for mining GPI-APs and gaining further insights into their evolution and sequence diversity. This resource may also help identify new protein candidates for the development of vaccines for malaria and other parasitic diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04430-0.
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spelling pubmed-98764182023-01-26 FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species Sauer, Lena M. Canovas, Rodrigo Roche, Daniel Shams-Eldin, Hosam Ravel, Patrice Colinge, Jacques Schwarz, Ralph T. Ben Mamoun, Choukri Rivals, Eric Cornillot, Emmanuel Malar J Research BACKGROUND: Protozoan parasites are known to attach specific and diverse group of proteins to their plasma membrane via a GPI anchor. In malaria parasites, GPI-anchored proteins (GPI-APs) have been shown to play an important role in host–pathogen interactions and a key function in host cell invasion and immune evasion. Because of their immunogenic properties, some of these proteins have been considered as malaria vaccine candidates. However, identification of all possible GPI-APs encoded by these parasites remains challenging due to their sequence diversity and limitations of the tools used for their characterization. METHODS: The FT-GPI software was developed to detect GPI-APs based on the presence of a hydrophobic helix at both ends of the premature peptide. FT-GPI was implemented in C ++and applied to study the GPI-proteome of 46 isolates of the order Haemosporida. Using the GPI proteome of Plasmodium falciparum strain 3D7 and Plasmodium vivax strain Sal-1, a heuristic method was defined to select the most sensitive and specific FT-GPI software parameters. RESULTS: FT-GPI enabled revision of the GPI-proteome of P. falciparum and P. vivax, including the identification of novel GPI-APs. Orthology- and synteny-based analyses showed that 19 of the 37 GPI-APs found in the order Haemosporida are conserved among Plasmodium species. Our analyses suggest that gene duplication and deletion events may have contributed significantly to the evolution of the GPI proteome, and its composition correlates with speciation. CONCLUSION: FT-GPI-based prediction is a useful tool for mining GPI-APs and gaining further insights into their evolution and sequence diversity. This resource may also help identify new protein candidates for the development of vaccines for malaria and other parasitic diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-022-04430-0. BioMed Central 2023-01-25 /pmc/articles/PMC9876418/ /pubmed/36698187 http://dx.doi.org/10.1186/s12936-022-04430-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sauer, Lena M.
Canovas, Rodrigo
Roche, Daniel
Shams-Eldin, Hosam
Ravel, Patrice
Colinge, Jacques
Schwarz, Ralph T.
Ben Mamoun, Choukri
Rivals, Eric
Cornillot, Emmanuel
FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species
title FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species
title_full FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species
title_fullStr FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species
title_full_unstemmed FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species
title_short FT-GPI, a highly sensitive and accurate predictor of GPI-anchored proteins, reveals the composition and evolution of the GPI proteome in Plasmodium species
title_sort ft-gpi, a highly sensitive and accurate predictor of gpi-anchored proteins, reveals the composition and evolution of the gpi proteome in plasmodium species
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9876418/
https://www.ncbi.nlm.nih.gov/pubmed/36698187
http://dx.doi.org/10.1186/s12936-022-04430-0
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