PhyloQuant approach provides insights into Trypanosoma cruzi evolution using a systems-wide mass spectrometry-based quantitative protein profile
| Autor: | Carla M. F. Rodrigues, Graziella E. Rosein, Gilberto Santos de Oliveira, Livia Rosa-Fernandes, Giuseppe Palmisano, Daniel Quina, André G. Costa-Martins, Marta Maria Geraldes Teixeira, Simon Ngao Mule |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Proteomics
0301 basic medicine Proteome QH301-705.5 Trypanosoma cruzi 030231 tropical medicine Protozoan Proteins Medicine (miscellaneous) Virulence Computational biology Biology Article General Biochemistry Genetics and Molecular Biology Evolution Molecular 03 medical and health sciences 0302 clinical medicine Tandem Mass Spectrometry Phylogenetics Biology (General) Chromatography High Pressure Liquid Phylogeny Genetic diversity Strain (biology) Infectious-disease diagnostics biology.organism_classification Maximum parsimony 030104 developmental biology Gene Expression Regulation Parasite evolution Identification (biology) SEQUENCIAMENTO GENÉTICO General Agricultural and Biological Sciences |
| Zdroj: | Communications Biology, Vol 4, Iss 1, Pp 1-12 (2021) Communications Biology Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 2399-3642 |
| Popis: | The etiological agent of Chagas disease, Trypanosoma cruzi, is a complex of seven genetic subdivisions termed discrete typing units (DTUs), TcI-TcVI and Tcbat. The relevance of T. cruzi genetic diversity to the variable clinical course of the disease, virulence, pathogenicity, drug resistance, transmission cycles and ecological distribution requires understanding the parasite origin and population structure. In this study, we introduce the PhyloQuant approach to infer the evolutionary relationships between organisms based on differential mass spectrometry-based quantitative features. In particular, large scale quantitative bottom-up proteomics features (MS1, iBAQ and LFQ) were analyzed using maximum parsimony, showing a correlation between T. cruzi DTUs and closely related trypanosomes’ protein expression and sequence-based clustering. Character mapping enabled the identification of synapomorphies, herein the proteins and their respective expression profiles that differentiate T. cruzi DTUs and trypanosome species. The distance matrices based on phylogenetics and PhyloQuant clustering showed statistically significant correlation highlighting the complementarity between the two strategies. Moreover, PhyloQuant allows the identification of differentially regulated and strain/DTU/species-specific proteins, and has potential application in the identification of specific biomarkers and candidate therapeutic targets. Simon Ngao Mule et al. introduce the “PhyloQuant” approach to infer evolutionary relationships of organisms, focusing on the genetically diverse Trypanosoma cruzi strains based on protein expression profiles derived from mass spectrometry. The authors show that phylogenies constructed from their PhyloQuant method and traditional molecular phylogenies are significantly correlated, and demonstrate species-specific proteins and their differential expression over evolutionary time. |
| Databáze: | OpenAIRE |
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