TY - JOUR
T1 - Leishmaniinae: evolutionary inferences based on protein expression profiles (PhyloQuant) congruent with phylogenetic relationships among Leishmania, Endotrypanum, Porcisia, Zelonia, Crithidia, and Leptomonas
AU - Mule, Simon Ngao
AU - Alemán, Evaristo Villalba
AU - Rosa-Fernandes, Livia
AU - Saad, Joyce Silva
AU - de Oliveira, Gilberto Santos
AU - Martins, Deivid
AU - Angeli, Claudia Blanes
AU - Brandt-Almeida, Deborah
AU - Cortez, Mauro
AU - Larsen, Martin Røssel
AU - Shaw, Jeffrey J.
AU - Teixeira, Marta M.G.
AU - Palmisano, Giuseppe
PY - 2024/9
Y1 - 2024/9
N2 - Evolutionary relationships among parasites of the subfamily Leishmaniinae, which comprises pathogen agents of leishmaniasis, were inferred based on differential protein expression profiles from mass spectrometry-based quantitative data using the PhyloQuant method. Evolutionary distances following identification and quantification of protein and peptide abundances using Proteome Discoverer and MaxQuant software were estimated for 11 species from six Leishmaniinae genera. Results clustered all dixenous species of the genus Leishmania, subgenera L. (Leishmania), L. (Viannia), and L. (Mundinia), sister to the dixenous species of genera Endotrypanum and Porcisia. Placed basal to the assemblage formed by all these parasites were the species of genera Zelonia, Crithidia, and Leptomonas, so far described as monoxenous of insects although eventually reported from humans. Inferences based on protein expression profiles were congruent with currently established phylogeny using DNA sequences. Our results reinforce PhyloQuant as a valuable approach to infer evolutionary relationships within Leishmaniinae, which is comprised of very tightly related trypanosomatids that are just beginning to be phylogenetically unraveled. In addition to evolutionary history, mapping of species-specific protein expression is paramount to understand differences in infection processes, tissue tropisms, potential to jump from insects to vertebrates including humans, and targets for species-specific diagnostic and drug development.
AB - Evolutionary relationships among parasites of the subfamily Leishmaniinae, which comprises pathogen agents of leishmaniasis, were inferred based on differential protein expression profiles from mass spectrometry-based quantitative data using the PhyloQuant method. Evolutionary distances following identification and quantification of protein and peptide abundances using Proteome Discoverer and MaxQuant software were estimated for 11 species from six Leishmaniinae genera. Results clustered all dixenous species of the genus Leishmania, subgenera L. (Leishmania), L. (Viannia), and L. (Mundinia), sister to the dixenous species of genera Endotrypanum and Porcisia. Placed basal to the assemblage formed by all these parasites were the species of genera Zelonia, Crithidia, and Leptomonas, so far described as monoxenous of insects although eventually reported from humans. Inferences based on protein expression profiles were congruent with currently established phylogeny using DNA sequences. Our results reinforce PhyloQuant as a valuable approach to infer evolutionary relationships within Leishmaniinae, which is comprised of very tightly related trypanosomatids that are just beginning to be phylogenetically unraveled. In addition to evolutionary history, mapping of species-specific protein expression is paramount to understand differences in infection processes, tissue tropisms, potential to jump from insects to vertebrates including humans, and targets for species-specific diagnostic and drug development.
KW - Leishmaniinae
KW - PhyloQuant
KW - Trypanosomatidae
KW - evolution
KW - leishmaniasis
KW - proteome
KW - taxonomy
KW - tropical diseases
KW - Leishmania/genetics
KW - Crithidia/genetics
KW - Phylogeny
KW - Protozoan Proteins/genetics
KW - Trypanosomatina/genetics
KW - Animals
KW - Proteomics/methods
KW - Proteome/genetics
KW - Evolution, Molecular
UR - https://www.biorxiv.org/content/10.1101/2023.09.22.558958v1
U2 - 10.1002/pmic.202100313
DO - 10.1002/pmic.202100313
M3 - Journal article
C2 - 38850190
SN - 1615-9853
VL - 24
JO - Proteomics
JF - Proteomics
IS - 18
M1 - 2100313
ER -