Ecological specialization and admixture drive the genomic and phenotypic diversity in Yarrowia lipolytica

Microbial diversity emerges from evolutionary processes shaping genomic and phenotypic traits. Here, we use the yeast Yarrowia lipolytica to examine these dynamics across diverse environments and demonstrate how population-level data can inform targeted bioprospecting for industrial traits. Whole-genome and phenotypic analyses of 126 isolates reveal a complex population structure shaped by ecological specialization and gene flow. Some lineages show ecological filtering, reduced genetic diversity, and distinct gene content, reflecting specialization to substrates such as dairy or hydrocarbons, while others maintain higher genetic diversity and broader phenotypic capacity, including stress tolerance and metabolic flexibility. Trait assays link phenotypic variation to underlying genetic differences. For example, improved growth on acetate is linked to regulatory variation in hydrocarbon-adapted strains. Together, our results indicate that Y. lipolytica diversity reflects a gradient of ecological specialization and gene flow, highlighting how varying evolutionary trajectories shape ecological success and can be leveraged for microbial bioprospecting.

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Journal
Cell Reports
Published
2026-03-26
DOI
https://doi.org/10.1016/j.celrep.2026.117163
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
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article

Ecological specialization and admixture drive the genomic and phenotypic diversity in Yarrowia lipolytica

Cécile Neuvéglise, Ignacio Belda, Jorge Barriuso, Francisco A. Cubillos et al.
Cell Reports
Microbial Metabolic Engineering and Bioproduction
article

Ecological specialization and admixture drive the genomic and phenotypic diversity in Yarrowia lipolytica

Cécile Neuvéglise, Ignacio Belda, Jorge Barriuso, Francisco A. Cubillos, Pablo David Villarreal, Javier Vicente, Tomás A. Peña, Javier Ruíz, Sergio Izquierdo-Gea
article en

Abstract

Microbial diversity emerges from evolutionary processes shaping genomic and phenotypic traits. Here, we use the yeast Yarrowia lipolytica to examine these dynamics across diverse environments and demonstrate how population-level data can inform targeted bioprospecting for industrial traits. Whole-genome and phenotypic analyses of 126 isolates reveal a complex population structure shaped by ecological specialization and gene flow. Some lineages show ecological filtering, reduced genetic diversity, and distinct gene content, reflecting specialization to substrates such as dairy or hydrocarbons, while others maintain higher genetic diversity and broader phenotypic capacity, including stress tolerance and metabolic flexibility. Trait assays link phenotypic variation to underlying genetic differences. For example, improved growth on acetate is linked to regulatory variation in hydrocarbon-adapted strains. Together, our results indicate that Y. lipolytica diversity reflects a gradient of ecological specialization and gene flow, highlighting how varying evolutionary trajectories shape ecological success and can be leveraged for microbial bioprospecting.

Cell ReportsVol. 45(4)
Universidad Complutense de Madrid (ES), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centro Nacional de Biotecnología (ES), Institut Agro Montpelier (FR), Services déconcentrés d'appui à la recherche Occitanie-Montpellier (FR), Millennium Institute for Integrative Biology (CL)
Zero hunger
Openalex Percentile: Top 8%
Microbial Metabolic Engineering and Bioproduction
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