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We developed a genomic surveillance program for real-time monitoring of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) in Uruguay. We report on a PCR method for SARS-CoV-2 VOCs, the surveillance workflow, and multiple independent introductions and community transmission of the SARS-CoV-2 P.1 VOC in Uruguay.
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COVID-19 , SARS-CoV-2 , Genômica , Humanos , Uruguai/epidemiologiaRESUMO
Here we report a case of septic arthritis associated with a genetically divergent Francisella philomiragia strain in a patient with chronic rheumatoid arthritis and Adult-onset Still's disease (AOSD) in Maldonado, Uruguay. In this study mass spectrometry together with whole-genome sequencing using Oxford Nanopore technology allowed for the correct identification of the etiologic agent.
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This work discloses a unique, comprehensive proteomic dataset of Acinetobacter baumannii strains, both resistant and non-resistant to polymyxin B, isolated in Brazil generated using Orbitrap Fusion Lumos. From nearly 4 million tandem mass spectra, the software DiagnoMass produced 240,685 quality-filtered mass spectral clusters, of which PatternLab for proteomics identified 44,553 peptides mapping to 3479 proteins. Crucially, DiagnoMass shortlisted 3550 and 1408 unique mass spectral clusters for the resistant and non-resistant strains, respectively, with only about a third with sequences (and PTMs) identified by PatternLab. Further open-search attempts via FragPipe yielded an additional â¼20% identifications, suggesting the remaining unidentified spectra likely arise from complex combinations of post-translational modifications and amino-acid substitutions. This highlights the untapped potential of the dataset for future discoveries, particularly given the importance of PTMs, which remain elusive to nucleotide sequencing approaches but are crucial for understanding biological mechanisms. Our innovative approach extends beyond the identifications that are typically subjected to the bias of a search engine; we discern which spectral clusters are differential and subject them to increased scrutiny, akin to spectral library matching by comparing captured spectra to themselves. Our analysis reveals adaptations in the resistant strain, including enhanced detoxification, altered protein synthesis, and metabolic adjustments. SIGNIFICANCE: We present comprehensive proteomic profiles of non-resistant and resistant Acinetobacter baumannii from Brazilian Hospitals strains, and highlight the presence of discriminative and yet unidentified mass spectral clusters. Our work emphasizes the importance of exploring this overlooked data, as it could hold the key to understanding the complex dynamics of antibiotic resistance. This approach not only informs antimicrobial stewardship efforts but also paves the way for the development of innovative diagnostic tools. Thus, our findings have profound implications for the field, as far as methods for providing a new perspective on diagnosing antibiotic resistance as well as classifying proteomes in general.
Assuntos
Acinetobacter baumannii , Polimixinas , Polimixinas/metabolismo , Antibacterianos/farmacologia , Acinetobacter baumannii/metabolismo , Proteômica/métodos , Proteoma/metabolismo , Brasil , Farmacorresistência Bacteriana Múltipla , Testes de Sensibilidade MicrobianaRESUMO
Mycobacterium tuberculosis, the etiological agent of tuberculosis, is among the deadliest human pathogens. One of M. tuberculosis's pathogenic hallmarks is its ability to persist in a dormant state in the host. Thus, this pathogen has developed mechanisms to withstand stressful conditions found in the human host. Particularly, the Ser/Thr-protein kinase PknG has gained relevance since it regulates nitrogen metabolism and facilitates bacterial survival inside macrophages. Nevertheless, the molecular mechanisms underlying these effects are far from being elucidated. To further investigate these issues, we performed quantitative proteomic analyses of protein extracts from M. tuberculosis H37Rv and a mutant lacking pknG. We found that in the absence of PknG the mycobacterial proteome was remodeled since 5.7% of the proteins encoded by M. tuberculosis presented significant changes in its relative abundance compared with the wild-type. The main biological processes affected by pknG deletion were cell envelope components biosynthesis and response to hypoxia. Thirteen DosR-regulated proteins were underrepresented in the pknG deletion mutant, including Hrp-1, which was 12.5-fold decreased according to Parallel Reaction Monitoring experiments. Altogether, our results allow us to postulate that PknG regulation of bacterial adaptation to stress conditions might be an important mechanism underlying its reported effect on intracellular bacterial survival. SIGNIFICANCE: PknG is a Ser/Thr kinase from Mycobacterium tuberculosis with key roles in bacterial metabolism and bacterial survival within the host. However, at present the molecular mechanisms underlying these functions remain largely unknown. In this work, we evaluate the effect of pknG deletion on M. tuberculosis proteome using different approaches. Our results clearly show that the global proteome was remodeled in the absence of PknG and shed light on new molecular mechanism underlying PknG role. Altogether, this work contributes to a better understanding of the molecular bases of the adaptation of M. tuberculosis, one of the most deadly human pathogens, to its host.
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Fenômenos Biológicos , Mycobacterium tuberculosis , Proteínas de Bactérias/genética , Humanos , Hipóxia , Mycobacterium tuberculosis/genética , Proteínas Serina-Treonina Quinases/genética , Proteoma , ProteômicaRESUMO
Uruguay controlled the viral dissemination during the first nine months of the SARS-CoV-2 pandemic. Unfortunately, towards the end of 2020, the number of daily new cases exponentially increased. Herein, we analyzed the country-wide genetic diversity of SARS-CoV-2 between November 2020 and April 2021. We identified that the most prevalent viral variant during the first epidemic wave in Uruguay (December 2020-February 2021) was a B.1.1.28 sublineage carrying Spike mutations Q675H + Q677H, now designated as P.6, followed by lineages P.2 and P.7. P.6 probably arose around November 2020, in Montevideo, Uruguay's capital department, and rapidly spread to other departments, with evidence of further local transmission clusters; it also spread sporadically to the USA and Spain. The more efficient dissemination of lineage P.6 with respect to P.2 and P.7 and the presence of mutations (Q675H and Q677H) in the proximity of the key cleavage site at the S1/S2 boundary suggest that P.6 may be more transmissible than other lineages co-circulating in Uruguay. Although P.6 was replaced by the variant of concern (VOC) P.1 as the predominant lineage in Uruguay since April 2021, the monitoring of the concurrent emergence of Q675H + Q677H in VOCs should be of worldwide interest.
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COVID-19/virologia , SARS-CoV-2/genética , Glicoproteína da Espícula de Coronavírus/genética , COVID-19/transmissão , Genoma Viral , Humanos , Mutação , Filogeografia , Estudos Retrospectivos , SARS-CoV-2/patogenicidade , UruguaiRESUMO
Since January 2020, the world is facing the COVID-19 pandemic caused by SARS-CoV-2. In a big effort to cope with this outbreak, two Uruguayan institutions, Institut Pasteur de Montevideo and Universidad de la República, have developed and implemented a diagnosis pipeline based on qRT-PCR using entirely local resources. In this context, we performed comparative quantitative proteomic analysis from oro- and naso-pharyngeal swabs used for diagnosis. Tryptic peptides obtained from five positive and five negative samples were analysed by nano-LC-MS/MS using a Q-Exactive Plus mass spectrometer. Data analysis was performed using PatternLab for Proteomics software. From all SARS-CoV-2 positive swabs we were able to detect peptides of the SARS-CoV-2 nucleoprotein that encapsulates and protect the RNA genome. Additionally, we detected an average of 1100 human proteins from each sample. The most abundant proteins exclusively detected in positive swabs were "Guanylate-binding protein 1", "Tapasin" and "HLA class II histocompatibility antigen DR beta chain". The biological processes overrepresented in infected host cells were "SRP-dependent cotranslational protein targeting to membrane", "nuclear-transcribed mRNA catabolic process, nonsense-mediated decay", "viral transcription" and "translational initiation". Data is available via ProteomeXchange with identifier PXD020394. We expect that this data can contribute to the future development of mass spectrometry based approaches for COVID-19 diagnosis. Also, we share this preliminary proteomic characterization concerning the host response to infection for its reuse in basic investigation.
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PknG from Mycobacterium tuberculosis is a multidomain Serine/Threonine protein kinase that regulates bacterial metabolism as well as the pathogen's ability to survive inside the host by still uncertain mechanisms. To uncover PknG interactome we developed an affinity purification-mass spectrometry strategy to stepwise recover PknG substrates and interactors; and to identify those involving PknG autophosphorylated docking sites. We report a confident list of 7 new putative substrates and 66 direct or indirect partners indicating that PknG regulates many physiological processes, such as nitrogen and energy metabolism, cell wall synthesis and protein translation. GarA and the 50S ribosomal protein L13, two previously reported substrates of PknG, were recovered in our interactome. Comparative proteome analyses of wild type and pknG null mutant M. tuberculosis strains provided evidence that two kinase interactors, the FHA-domain containing protein GarA and the enzyme glutamine synthetase, are indeed endogenous substrates of PknG, stressing the role of this kinase in the regulation of nitrogen metabolism. Interestingly, a second FHA protein was identified as a PknG substrate. Our results show that PknG phosphorylates specific residues in both glutamine synthetase and FhaA in vitro, and suggest that these proteins are phosphorylated by PknG in living mycobacteria.