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Albarracin Orio, A.

Publications and source records attributed to Albarracin Orio, A..

4 recordsLinked to original sources

Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS.

Gas chromatography-mass spectrometry (GC-MS) represents an analytical technique with significant practical societal impact. Spectral deconvolution is an essential step for interpreting GC-MS data. No public GC-MS repositories that also enable repository-scale analysis exist, in part because deconvolution requires significant user input. We therefore engineered a scalable machine learning workflow for the Global Natural Product Social Molecular Networking (GNPS) analysis platform to enable the mass spectrometry community to store, process, share, annotate, compare, and perform molecular networking of GC-MS data. The workflow performs auto-deconvolution of compound fragmentation patterns via unsupervised non-negative matrix factorization, using a Fast Fourier Transform-based strategy to overcome scalability limitations. We introduce a "balance score" that quantifies the reproducibility of fragmentation patterns across all samples. We demonstrate the utility of the platform with breathomics analysis applied to the early detection of oesophago-gastric cancer, and by creating the first molecular spatial map of the human volatilome.

bioinformatics↗

Hypermutator Pseudomonas aeruginosa exploits multiple genetic pathways to develop multidrug resistance during long term infections in the airways of cystic fibrosis patients

Pseudomonas aeruginosa exploits intrinsic and acquired resistance mechanisms to resist almost every antibiotic used in chemotherapy. Antimicrobial resistance in P. aeruginosa isolated from cystic fibrosis (CF) patients is further enhanced by the occurrence of hypermutator strains, a hallmark of chronic CF infections. However, the within-patient genetic diversity of P. aeruginosa populations related to antibiotic resistance remains unexplored. Here, we show the evolution of the mutational resistome profile of a P. aeruginosa hypermutator lineage by performing longitudinal and transversal analyses of isolates collected from a CF patient throughout 20 years of chronic infection. Our results show the accumulation of thousands of mutations with an overall evolutionary history characterized by purifying selection. However, mutations in antibiotic resistance genes appear to be positively selected, driven by antibiotic treatment. Antibiotic resistance increased as infection progressed towards the establishment of a population constituted by genotypically diversified coexisting sub-lineages, all of which converged to multi-drug resistance. These sub-lineages emerged by parallel evolution through distinct evolutionary pathways, which affected genes of the same functional categories. Interestingly, ampC and fstI, encoding the {beta}-lactamase and penicillin-binding protein 3, respectively, were found among the most frequently mutated genes. In fact, both genes were targeted by multiple independent mutational events, which led to a wide diversity of coexisting alleles underlying {beta}-lactam resistance. Our findings indicate that hypermutators, apart from boosting antibiotic resistance evolution by simultaneously targeting several genes, favor the emergence of adaptive innovative alleles by clustering beneficial/compensatory mutations in the same gene, hence expanding P. aeruginosa strategies for persistence.\n\nIMPORTANCEBy increasing mutation rates, hypermutators boost antibiotic resistance evolution by enabling bacterial pathogens to fully exploit their genetic potential and achieve resistance mechanisms for almost every known antimicrobial agent. Here, we show how co-existing clones from a P. aeruginosa hypermutator lineage that evolved during 20 years of chronic infection and antibiotic chemotherapy, converged to multidrug resistance by targeting genes from alternative genetic pathways that are part of the broad P. aeruginosa resistome. Within this complex assembly of combinatorial genetic changes, in some specific cases, multiple mutations are needed in the same gene to reach a fine tuned resistance phenotype. Hypermutability enables this genetic edition towards higher resistance profiles by recurrently targeting these genes, thus promoting new epistatic relationships and the emergence of innovative resistance-conferring alleles. Our findings help to understand this link between hypermutability and antibiotic resistance, a key challenge for the design of new therapeutic strategies.

microbiology↗

Development of an innovative in vitro method for mass production of Verticillium dahliae microsclerotia

The soil-borne fungal plant pathogen Verticillium dahliae can infect more than 300 plant species including important economic crops, causing great economic loses. V. dahliae can persist and survive more than 14 years in the soil by resistance structures, known as microsclerotia, which constitute the primary inoculum in the field. In vitro mass production of microsclerotia is essential for performing many pathological assays. Nevertheless to harvest the microsclerotia is not an easy task and several protocols have been described although none of them is completely satisfying for different reasons. here we present a new protocol that is reproducible, robust, simple and fast allows to overcome the difficulties for obtaining massive amounts of microsclerotia. In summary, we developed a new culture medium that we called Pluronic Potato Medium (PPM) because it is essentially potato dextrose media with the hydrogel, Pluronic F127 as a solidifying agent. The microsclerotia collected in form PPM were infectious in tomato plants were they were able to reproduce the disease and we recovered and quantitated V. dahliae in infected plants.

microbiology↗

Bacillus subtilis ALBA01 can mitigate onion pink root symptoms caused by Setophoma terrestris

Soil-borne pathogen Setophoma terrestris is the causal agent of pink root of onion, one of the most challenging diseases in onion production. Conventional approaches for managing the disease like solarization, soil fumigation and crop rotation have not been proven effective enough. In this work, we evaluated the biocontrol capacity of Bacillus subtilis ALBA01 (BsA01) against S. terrestris, in a highly susceptible onion cultivar, both under greenhouse and field conditions. Disease incidence and severity were evaluated together with growth, photosynthesis among other physiological variables and yield parameters. When compared with plants infected with the pathogen, those plants co-inoculated with BsA01 showed significantly less damage and levels of biocontrol above 50%. With regard to physiological parameters, plants challenged with S terrestris and inoculated with BsA01 performed as well as the control non-infected plants revealing a growth promotion effect of BsA01 on onion plants.

microbiology↗