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1.
PLoS Genet ; 8(11): e1002990, 2012.
Artículo en Inglés | MEDLINE | ID: mdl-23166503

RESUMEN

Despite extensive study, little is known about the origins of the mutualistic bacterial endosymbionts that inhabit approximately 10% of the world's insects. In this study, we characterized a novel opportunistic human pathogen, designated "strain HS," and found that it is a close relative of the insect endosymbiont Sodalis glossinidius. Our results indicate that ancestral relatives of strain HS have served as progenitors for the independent descent of Sodalis-allied endosymbionts found in several insect hosts. Comparative analyses indicate that the gene inventories of the insect endosymbionts were independently derived from a common ancestral template through a combination of irreversible degenerative changes. Our results provide compelling support for the notion that mutualists evolve from pathogenic progenitors. They also elucidate the role of degenerative evolutionary processes in shaping the gene inventories of symbiotic bacteria at a very early stage in these mutualistic associations.


Asunto(s)
Bacterias , Evolución Biológica , Interacciones Huésped-Parásitos/genética , Insectos/genética , Simbiosis , Animales , Bacterias/genética , Bacterias/patogenicidad , Enterobacteriaceae/genética , Evolución Molecular , Humanos , Datos de Secuencia Molecular , Moscas Tse-Tse/genética , Moscas Tse-Tse/microbiología
2.
Biochim Biophys Acta Proteins Proteom ; 1869(5): 140619, 2021 05.
Artículo en Inglés | MEDLINE | ID: mdl-33561577

RESUMEN

The protozoan Trypanosoma cruzi is the causative agent of the neglected infectious illness Chagas disease. During its life cycle it differentiates into replicative and non-replicative life stages. So far, T. cruzi cell division has been investigated by transcriptomics but not by proteomics approaches. Here we show the first quantitative proteome analysis of T. cruzi cell division. T. cruzi epimastigote cultures were subject to synchronization with hydroxyurea and harvested at different time points. Analysis by flow cytometry, bright field and fluorescence microscopy indicated that samples collected at 0 h, 2 h, 6 h and 14 h overrepresented G1, G1-S, S and M cell cycle phases, respectively. After trypsin digestion of these samples, the resulting peptides were labelled with iTRAQ and subjected to LC-MS/MS. Also, iTRAQ-labelled phosphopeptides were enriched with TiO2 to access the phosphoproteome. Overall, 597 protein groups and 94 phosphopeptides presented regulation with the most remarkable variation in abundance at 6 h (S-phase). Comparison of our proteomic data to previous transcriptome-wise analysis of epimastigote cell cycle showed 16 sequence entries in common, with the highest mRNA/protein correlation observed in transcripts with peak abundance in G1-phase. Our data revealed regulated proteins and phosphopeptides which play important roles in the control of cell division in other organisms and some of them were previously detected in the nucleus or associated with T. cruzi chromatin.


Asunto(s)
Ciclo Celular , Fosfoproteínas/metabolismo , Proteómica/métodos , Proteínas Protozoarias/metabolismo , Trypanosoma cruzi/metabolismo , Núcleo Celular/metabolismo , Cromatina/metabolismo , Cromatografía Liquida/métodos , Citometría de Flujo , Microscopía Fluorescente , Espectrometría de Masas en Tándem/métodos , Transcriptoma , Trypanosoma cruzi/citología
3.
PLoS One ; 13(10): e0204818, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-30303999

RESUMEN

The protozoan Phytomonas serpens (class Kinetoplastea) is an important phytoparasite that has gained medical importance due to its similarities to Trypanosoma cruzi, the etiological agent of Chagas disease. The present work describes the first proteome analysis of P. serpens. The parasite was separated into cytosolic and high density organelle fractions, which, together with total cell extract, were subjected to LC-MS/MS analyses. Protein identification was conducted using a comprehensive database composed of genome sequences of other related kinetoplastids. A total of 1,540 protein groups were identified among the three sample fractions. Sequences from Phytomonas sp. in the database allowed the highest number of identifications, with T. cruzi and T. brucei the human pathogens providing the greatest contribution to the identifications. Based on the proteomics data obtained, we proposed a central metabolic map of P. serpens, which includes all enzymes of the citric acid cycle. Data also revealed a new range of proteins possibly responsible for immunological cross-reactivity between P. serpens and T. cruzi.


Asunto(s)
Proteómica/métodos , Proteínas Protozoarias/metabolismo , Trypanosomatina/metabolismo , Cromatografía Liquida , Ontología de Genes , Proteínas Protozoarias/genética , Espectrometría de Masas en Tándem , Trypanosomatina/genética
4.
Front Chem ; 4: 40, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-27790611

RESUMEN

The central nervous system is responsible for an array of cognitive functions such as memory, learning, language, and attention. These processes tend to take place in distinct brain regions; yet, they need to be integrated to give rise to adaptive or meaningful behavior. Since cognitive processes result from underlying cellular and molecular changes, genomics and transcriptomics assays have been applied to human and animal models to understand such events. Nevertheless, genes and RNAs are not the end products of most biological functions. In order to gain further insights toward the understanding of brain processes, the field of proteomics has been of increasing importance in the past years. Advancements in liquid chromatography-tandem mass spectrometry (LC-MS/MS) have enabled the identification and quantification of thousands of proteins with high accuracy and sensitivity, fostering a revolution in the neurosciences. Herein, we review the molecular bases of explicit memory in the hippocampus. We outline the principles of mass spectrometry (MS)-based proteomics, highlighting the use of this analytical tool to study memory formation. In addition, we discuss MS-based targeted approaches as the future of protein analysis.

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