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Dias, J. A.

Publications and source records attributed to Dias, J. A..

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Tetrad analysis without tetrad dissection: Meiotic recombination and genomic diversity in the yeast Komagataella phaffii (Pichia pastoris)

Komagataella phaffii is a yeast widely used in the pharmaceutical and biotechnology industries, and is one of the two species that were formerly called Pichia pastoris. However, almost all laboratory work on K. phaffii has been done on strains derived from a single natural isolate, CBS7435. There is little information about the genetic properties of K. phaffii or its sequence diversity. Genetic analysis is difficult because, although K. phaffii makes asci with four spores, the spores are small and tend to clump together, making the asci hard to dissect. Here, we sequenced the genomes of all the known isolates of this species, and find that K. phaffii has only been isolated from nature four times. We analyzed the meiotic recombination landscape in a cross between auxotrophically marked strains derived from two isolates that differ at 44,000 single nucleotide polymorphism sites. We conducted tetrad analysis by making use of the property that haploids of this species do not mate in rich media, which enabled us to isolate and sequence the four types of haploid cell that are present in the colony that forms when a tetratype ascus germinates. We found that approximately 25 crossovers occur per meiosis, which is 3.5 times fewer than in Saccharomyces cerevisiae. Recombination is suppressed, and genetic diversity among natural isolates is low, in a region around centromeres that is much larger than the centromeres themselves. Our method of tetrad analysis without tetrad dissection will be applicable to other species whose spores do not mate spontaneously after germination.\n\nAuthor summaryTo better understand the basic genetics of the budding yeast Komagataella phaffii, which has many applications in biotechnology, we investigated its genetic diversity and its meiotic recombination landscape. We made a genetic cross between strains derived from two natural isolates, and developed a method for characterizing the genomes of the four spores resulting from meiosis, which were previously impossible to isolate. We found that K. phaffii has a lower recombination rate than Saccharomyces cerevisiae. It shows a large zone of suppressed recombination around its centromeres, which may be due to the structural differences between centromeres in K. phaffii and S. cerevisiae.

genetics↗

Treatment-Specific Composition of Gut Microbiota Is Associated with Disease Remission in a Pediatric Crohn’s Disease Cohort

BackgroundThe beneficial effects of antibiotics in Crohns disease (CD) depend in part on the gut microbiota but are inadequately understood. We investigated the impact of metronidazole (MET) and metronidazole plus azithromycin (MET+AZ) on the microbiota in pediatric CD, and the use of microbiota features as classifiers or predictors of disease remission.\n\nMethods16S rRNA-based microbiota profiling was performed on stool samples from 67 patients in a multinational, randomized, controlled, longitudinal, 12-week trial of MET vs. MET+AZ in children with mild to moderate CD. Profiles were analyzed together with disease activity, and then used to construct Random Forest models to classify remission or predict treatment response.\n\nResultsBoth MET and MET+AZ significantly decreased diversity of the microbiota and caused large treatment-specific shifts in microbiota structure at week 4. Disease remission was associated with a treatment-specific microbiota configuration. Random Forest models constructed from microbiota profiles pre- and during antibiotic treatment with metronidazole accurately classified disease remission in this treatment group (AUC of 0.879, 95% CI 0.683, 0.9877; sensitivity 0.7778; specificity 1.000, P < 0.001). A Random Forest model trained on preantibiotic microbiota profiles predicted disease remission at week 4 with modest accuracy (AUC of 0.8, P = 0.24).\n\nConclusionsMET and MET+AZ antibiotic regimens in pediatric CD lead to distinct gut microbiota structures at remission. It may be possible to classify and predict remission based in part on microbiota profiles, but larger cohorts will be needed to realize this goal.\n\nSummaryWe investigated the impact of metronidazole and metronidazole plus azithromycin on the gut microbiota in pediatric Crohns disease. Disease remission was associated with a treatment-specific microbiota configuration, and could be predicted based on pre-antibiotic microbiota profiles.

microbiology↗