ArticlePLoS biology2024
Diverse signatures of convergent evolution in cactus-associated yeasts.
Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Convergent genomic trajectories shape adaptation to life on land across animal lineages.Nature communications · 2026Article
- The genetic foundations of convergent traits.Nature reviews. Genetics · 2026Review
- Agro-Food Waste for Isolation of Non-Conventional Yeasts and Flavor Compounds Production.Foods (Basel, Switzerland) · 2026Article
- Predicting natural variation in the yeast phenotypic landscape with machine learning.Molecular systems biology · 2025Article
- Integrating Intermediate Traits in Phylogenetic Genotype-to-Phenotype Studies.Integrative and comparative biology · 2025Review
- How genomics can help unravel the evolution of endophytic fungi.World journal of microbiology & biotechnology · 2025Review
- Taxogenomic analysis of Pichia senei sp. nov. and new insights into hybridization events in the Pichia cactophila species complex.FEMS yeast research · 2025Article
- Advances and challenges in understanding evolution through genome comparison: meeting report of the European Molecular Biology Organization (EMBO) lecture course "Evolutionary and Comparative Genomics".Bioinformatics advances · 2025Article
- Convergent reductive evolution in bee-associated lactic acid bacteria.Applied and environmental microbiology · 2024Article
- Exploring Saccharomycotina Yeast Ecology Through an Ecological Ontology Framework.Yeast (Chichester, England) · 2024Review
- Convergent reductive evolution in bee-associated lactic acid bacteria.bioRxiv : the preprint server for biology · 2024Article
- Genomic factors shape carbon and nitrogen metabolic niche breadth across Saccharomycotina yeasts.Science (New York, N.Y.) · 2024Article
- Predicting fungal secondary metabolite activity from biosynthetic gene cluster data using machine learning.Microbiology spectrum · 2024Article
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Abstract
Many distantly related organisms have convergently evolved traits and lifestyles that enable them to live in similar ecological environments. However, the extent of phenotypic convergence evolving through the same or distinct genetic trajectories remains an open question. Here, we leverage a comprehensive dataset of genomic and phenotypic data from 1,049 yeast species in the subphylum Saccharomycotina (Kingdom Fungi, Phylum Ascomycota) to explore signatures of convergent evolution in cactophilic yeasts, ecological specialists associated with cacti. We inferred that the ecological association of yeasts with cacti arose independently approximately 17 times. Using a machine learning-based approach, we further found that cactophily can be predicted with 76% accuracy from both functional genomic and phenotypic data. The most informative feature for predicting cactophily was thermotolerance, which we found to be likely associated with altered evolutionary rates of genes impacting the cell envelope in several cactophilic lineages. We also identified horizontal gene transfer and duplication events of plant cell wall-degrading enzymes in distantly related cactophilic clades, suggesting that putatively adaptive traits evolved independently through disparate molecular mechanisms. Notably, we found that multiple cactophilic species and their close relatives have been reported as emerging human opportunistic pathogens, suggesting that the cactophilic lifestyle-and perhaps more generally lifestyles favoring thermotolerance-might preadapt yeasts to cause human disease. This work underscores the potential of a multifaceted approach involving high-throughput genomic and phenotypic data to shed light onto ecological adaptation and highlights how convergent evolution to wild environments could facilitate the transition to human pathogenicity.
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