bioRxivBioinformaticsPreprint
Phosphorylation in the Plasmodium falciparum proteome: A meta-analysis of publicly available data sets
Oscar J M Camacho, Kerry A. RamsbottomiD, Ananth PrakashiD, Zhi SuniD, Yasset Pérez‐RiveroliD, Emily Bowler-BarnettiD, Maria Jesus MartiniD, Jun FaniD, Eric W. DeutschiD, Juan Antonio VizcaínoiD, Andrew R. JonesiD
Abstract
Malaria is a deadly disease caused by Apicomplexan parasites of the Plasmodium genus. Several species of the Plasmodium genus are known to be infectious to human, of which P. falciparum is the most virulent. Post-translational modifications (PTMs) of proteins coordinate cell signalling and hence, regulate many biological processes in P. falciparum homeostasis and host infection, of which the most highly studied is phosphorylation. Phosphosites on proteins can be identified by tandem mass spectrometry (MS) performed on enriched samples (phosphoproteomics), followed by downstream computational analyses. We have performed a large-scale meta-analysis of 11 publicly available phosphoproteomics datasets, to build a comprehensive atlas of phosphosites in the P. falciparum proteome, using robust pipelines aimed at strict control of false identifications. We identified a total of 28,495 phosphorylated sites on P. falciparum proteins at 5% false localisation rate (FLR) and, of those, 18,100 at 1% FLR. We identified significant sequence motifs, likely indicative of different groups of kinases, responsible for different groups of phosphosites. Conservation analysis identified clusters of phosphoproteins that are highly conserved, and others that are evolving faster within the Plasmodium genus, and implicated in different pathways. We were also able to identify over 180,000 phosphosites within Plasmodium species beyond falciparum, based on orthologue mapping. We also explored the structural context of phosphosites, identifying a strong enrichment for phosphosites on fast evolving (low conservation) intrinsically disordered regions (IDRs) of proteins. In other species, IDRs have been shown to have an important role in modulating protein-protein interactions, particularly in signalling, and thus warranting further study for their roles in host- pathogen interactions. All data has made available via UniProtKB, PRIDE and PeptideAtlas, with visualisation interfaces for exploring phosphosites in the context of other data on Plasmodium proteins. Author SummaryPlasmodium parasites continue to pose a significant global health threat, with a high proportion of the world at risk of malaria. It is imperative to gain new insights into cell signalling and regulation of biological processes in these parasites to develop effective treatments. This study focused on post- translational modifications (PTMs) of proteins, specifically phosphorylation. We conducted a meta- analysis of 11 publicly available phosphoproteomics datasets, identifying over 28,000 phosphorylated sites on P. falciparum proteins, using very rigorous statistics to avoid reporting false positives, and mapping to over 180,000 phosphorylation sites on other species of Plasmodium. The analysis revealed distinct sequence motifs associated with different groups of phosphosites (and likely indicative of different upstream kinases), and differences in the downstream pathways regulated. Conservation analysis highlighted clusters of phosphoproteins evolving at different rates within the Plasmodium genus. Notably, phosphorylation was enriched in regions of proteins lacking distinct structural elements, known as intrinsically disordered regions (IDRs), which are poorly conserved across the genus - we speculate that they are important for modulating protein interactions. The findings provide valuable insights into the molecular mechanisms of P. falciparum, with potential implications for understanding host-pathogen interactions. The comprehensive dataset generated is now publicly accessible, serving as a valuable resource for the scientific community through UniProtKB, PRIDE, and PeptideAtlas.
- organism: plant (other)
- assay: proteomics
- research focus: database / resource
- approach: statistical model
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Profiling the Human Phosphoproteome to Estimate the True Extent of Protein Phosphorylation
Anton Kalyuzhnyy, Patrick A. Eyers, … Andrew R. Jones·Journal of Proteome ResearchPeer-reviewed·May 9, 2022
- FPD: A comprehensive phosphorylation database in fungi
Youhuang Bai, Bin Chen, … Shihua Wang·bioRxiv·Jun 14, 2016
- The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles
Scott A. Chisholm, Victor Flores, … Ross F. Waller·Nature CommunicationsPeer-reviewed·May 30, 2026
- Network analysis of large phospho-signalling datasets: application to Plasmodium-erythrocyte interactions
J. Adderley, F. O'Donoghue, … S. Davis·bioRxiv·May 7, 2021
- A prioritized and validated resource of mitochondrial proteins in Plasmodium identifies leads to unique biology
Selma L. van Esveld, Lisette Meerstein‐Kessel, … Martijn A. Huynen·mSpherePeer-reviewed·Sep 8, 2021
- A panoramic perspective on human phosphosites
Pathmanaban Ramasamy, Elien Vandermarliere, … Lennart Martens·Journal of Proteome ResearchPeer-reviewed·Jul 6, 2022