ReviewYeast (Chichester, England)2024
Exploring Saccharomycotina Yeast Ecology Through an Ecological Ontology Framework.
Review in Yeast (Chichester, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Convergent evolution of aerobic fermentation through divergent mechanisms acting on key shared glycolytic genes.The EMBO journal · 2026Article
- Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeasts.PLoS genetics · 2026Article
- The macroevolution of filamentation morphology across the Saccharomycotina yeast subphylum.FEMS yeast research · 2026Article
- Genomic insights into adaptative traits of phyllosphere yeasts.Environmental microbiome · 2026Article
- The Macroevolution of Filamentation Morphology Across thebioRxiv : the preprint server for biology · 2025Article
- Genomic factors limiting the diversity of Saccharomycotina plant pathogens.G3 (Bethesda, Md.) · 2025Article
- Convergent evolution of aerobic fermentation through divergent mechanisms acting on key shared glycolytic genes.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Yeasts in the subphylum Saccharomycotina are found across the globe in disparate ecosystems. A major aim of yeast research is to understand the diversity and evolution of ecological traits, such as carbon metabolic breadth, insect association, and cactophily. This includes studying aspects of ecological traits like genetic architecture or association with other phenotypic traits. Genomic resources in the Saccharomycotina have grown rapidly. Ecological data, however, are still limited for many species, especially those only known from species descriptions where usually only a limited number of strains are studied. Moreover, ecological information is recorded in natural language format limiting high throughput computational analysis. To address these limitations, we developed an ontological framework for the analysis of yeast ecology. A total of 1,088 yeast strains were added to the Ontology of Yeast Environments (OYE) and analyzed in a machine-learning framework to connect genotype to ecology. This framework is flexible and can be extended to additional isolates, species, or environmental sequencing data. Widespread adoption of OYE would greatly aid the study of macroecology in the Saccharomycotina subphylum.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.