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Contrasting evolutionary forces of specialization and admixture underlie the genomic and phenotypic diversity of Yarrowia lipolytica

Izquierdo-Gea, S.; Vicente, J.; Pena, T. A.; Villarreal, P.; Cubillos, F. A.; Neuveglise, C.; Barriuso, J.; Belda, I.; Ruiz, J.

2025-11-29 evolutionary biology Community evaluation
10.1101/2025.11.28.690175 bioRxiv
Show abstract

Microbial diversity emerges from evolutionary processes that shape genomic and phenotypic traits in response to complex environmental pressures. Deciphering these dynamics is key to understanding microbial ecology and advancing biotechnological applications. Here, we use the yeast Yarrowia lipolytica to study genomic signatures of adaptation across a broad range of environments and to illustrate how population-level data can inform targeted bioprospecting for industrial traits. Whole-genome and phenotypic analyses of 126 isolates from natural and anthropogenic environments reveal a complex population structure in this species, shaped by both niche specialization and admixture events. Structured lineages exhibit ecological filtering, reduced genetic diversity, and distinct gene content, consistent with adaptation to substrates like dairy, hydrocarbons, or industrial substrates. In contrast, admixed populations display greater genetic diversity and broader phenotypic capacity, including enhanced stress tolerance and metabolic flexibility. Genome plasticity, reflected in pangenome and CNV variation, aligns with ecological origin, while trait assays link phenotypic divergence to underlying genetic variation. For instance, better growth performance on acetate, an ecological and industrially relevant trait, is associated with hydrocarbon-adapted strains and likely linked to variation in regulatory regions of acetate metabolism genes. Together, our results reflect how divergent evolutionary trajectories--ranging from ecological specialization to genomic plasticity through admixture-- underpin the species ecological success and provide a framework for harnessing its natural diversity in microbial bioprospecting.

Published in Cell Reports · training set

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