Simon Ngao Mule, Evaristo Villalba Alemán, Livia Rosa-Fernandes, Joyce S. Saad, Gilberto Santos de Oliveira, Deivid Martins, Claudia Blanes Angeli, Deborah Brandt-Almeida, Mauro Cortez, Martin Røssel Larsen, Jeffrey J. Shaw, Marta M. G. Teixeira, Giuseppe Palmisano
{"title":"利什曼病科基于蛋白质表达谱(PhyloQuant)的进化推论与利什曼原虫、Endotrypanum、Porcisia、Zelonia、Crithidia 和 Leptomonas 之间的系统发育关系一致。","authors":"Simon Ngao Mule, Evaristo Villalba Alemán, Livia Rosa-Fernandes, Joyce S. Saad, Gilberto Santos de Oliveira, Deivid Martins, Claudia Blanes Angeli, Deborah Brandt-Almeida, Mauro Cortez, Martin Røssel Larsen, Jeffrey J. Shaw, Marta M. G. Teixeira, Giuseppe Palmisano","doi":"10.1002/pmic.202100313","DOIUrl":null,"url":null,"abstract":"<p>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 <i>L. (Leishmania)</i>, <i>L. (Viannia)</i>, and <i>L. (Mundinia)</i>, sister to the dixenous species of genera <i>Endotrypanum</i> and <i>Porcisia</i>. Placed basal to the assemblage formed by all these parasites were the species of genera <i>Zelonia</i>, <i>Crithidia</i>, and <i>Leptomonas</i>, 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.</p>","PeriodicalId":224,"journal":{"name":"Proteomics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leishmaniinae: Evolutionary inferences based on protein expression profiles (PhyloQuant) congruent with phylogenetic relationships among Leishmania, Endotrypanum, Porcisia, Zelonia, Crithidia, and Leptomonas\",\"authors\":\"Simon Ngao Mule, Evaristo Villalba Alemán, Livia Rosa-Fernandes, Joyce S. Saad, Gilberto Santos de Oliveira, Deivid Martins, Claudia Blanes Angeli, Deborah Brandt-Almeida, Mauro Cortez, Martin Røssel Larsen, Jeffrey J. Shaw, Marta M. G. Teixeira, Giuseppe Palmisano\",\"doi\":\"10.1002/pmic.202100313\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 <i>L. (Leishmania)</i>, <i>L. (Viannia)</i>, and <i>L. (Mundinia)</i>, sister to the dixenous species of genera <i>Endotrypanum</i> and <i>Porcisia</i>. Placed basal to the assemblage formed by all these parasites were the species of genera <i>Zelonia</i>, <i>Crithidia</i>, and <i>Leptomonas</i>, 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.</p>\",\"PeriodicalId\":224,\"journal\":{\"name\":\"Proteomics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proteomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/pmic.202100313\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proteomics","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/pmic.202100313","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Leishmaniinae: Evolutionary inferences based on protein expression profiles (PhyloQuant) congruent with phylogenetic relationships among Leishmania, Endotrypanum, Porcisia, Zelonia, Crithidia, and Leptomonas
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.
期刊介绍:
PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.