Diverse signatures of convergent evolution in cacti-associated yeasts.
adaptive evolution
cactophily
convergent evolution
machine learning
pathogenicity
thermotolerance
yeast ecology
Journal
bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187
Informations de publication
Date de publication:
17 Sep 2023
17 Sep 2023
Historique:
pubmed:
25
9
2023
medline:
25
9
2023
entrez:
25
9
2023
Statut:
epublish
Résumé
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 ~17 times. Using machine-learning, we further found that cactophily can be predicted with 76% accuracy from functional genomic and phenotypic data. The most informative feature for predicting cactophily was thermotolerance, which is likely associated with duplication and 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 through disparate molecular mechanisms. Remarkably, multiple cactophilic lineages and their close relatives are emerging human opportunistic pathogens, suggesting that the cactophilic lifestyle-and perhaps more generally lifestyles favoring thermotolerance-may 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.
Identifiants
pubmed: 37745407
doi: 10.1101/2023.09.14.557833
pmc: PMC10515907
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NIAID NIH HHS
ID : R01 AI153356
Pays : United States
Organisme : NHGRI NIH HHS
ID : T32 HG002760
Pays : United States
Déclaration de conflit d'intérêts
Conflicts of interest JLS is a scientific advisor for WittGen Biotechnologies. JLS is an advisor for ForensisGroup Inc. AR is a scientific consultant for LifeMine Therapeutics, Inc.