Genetic and phenotypic insights into <i>Cyberlindnera jadinii</i> as a promising yeast for industrial biotechnology

Cyberlindnera jadinii is a nonmodel yeast species recognized for its robust growth under diverse stress conditions, making it a promising candidate for various industrial applications. Here, we performed genome sequencing for genetic analysis and high-throughput phenotypic assays to examine 20 wild strains, focusing on the diversity of their genome, morphology, and fitness traits. We found that C. jadinii comprises a mixed population of diploid and triploid cells, with the latter exhibiting significantly larger cell sizes than the former, suggesting that ploidy plays a crucial role in determining cell morphology. In contrast, fitness traits, including growth under 24 different conditions, were more closely associated with SNP-defined lineages than with ploidy. Cyberlindnera jadinii exhibited a genetic diversity (π = 18 × 10-3) four times higher than that of Saccharomyces cerevisiae, possibly reflecting genetic diversity shaped by history and environment. The heterologous expression of the CjFPS1 homolog in S. cerevisiae enhanced its growth on glycerol and acetate, underscoring its conserved metabolic function in carbon utilization. Overall, our findings not only reveal the rich genotypic and phenotypic diversity of C. jadinii but also provide new insights into its potential applications as a robust industrial yeast for diverse biotechnological processes.

Authors

Institutions

Publication Details

Journal
G3 Genes Genomes Genetics
Published
2025-06-30
DOI
https://doi.org/10.1093/g3journal/jkaf145
Primary Topic
Yeasts and Rust Fungi Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic and phenotypic insights into Cyberlindnera jadinii as a promising yeast for industrial biotechnology

Élie Teyssonnière, Taishi Yasukawa, Naohisa Masuo, Yoshikazu Ohya et al.
G3 Genes Genomes Genetics
Yeasts and Rust Fungi Studies
article

Genetic and phenotypic insights into Cyberlindnera jadinii as a promising yeast for industrial biotechnology

Élie Teyssonnière, Taishi Yasukawa, Naohisa Masuo, Yoshikazu Ohya, Shinsuke Ohnuki, Joseph Schacherer, Junyuan Wu
article en

Abstract

Cyberlindnera jadinii is a nonmodel yeast species recognized for its robust growth under diverse stress conditions, making it a promising candidate for various industrial applications. Here, we performed genome sequencing for genetic analysis and high-throughput phenotypic assays to examine 20 wild strains, focusing on the diversity of their genome, morphology, and fitness traits. We found that C. jadinii comprises a mixed population of diploid and triploid cells, with the latter exhibiting significantly larger cell sizes than the former, suggesting that ploidy plays a crucial role in determining cell morphology. In contrast, fitness traits, including growth under 24 different conditions, were more closely associated with SNP-defined lineages than with ploidy. Cyberlindnera jadinii exhibited a genetic diversity (π = 18 × 10-3) four times higher than that of Saccharomyces cerevisiae, possibly reflecting genetic diversity shaped by history and environment. The heterologous expression of the CjFPS1 homolog in S. cerevisiae enhanced its growth on glycerol and acetate, underscoring its conserved metabolic function in carbon utilization. Overall, our findings not only reveal the rich genotypic and phenotypic diversity of C. jadinii but also provide new insights into its potential applications as a robust industrial yeast for diverse biotechnological processes.

G3 Genes Genomes GeneticsVol. 15(9)
Mitsubishi Group (Japan) (JP), Institut Universitaire de France (FR), Centre National pour la Recherche Scientifique et Technique (CNRST) (MA), Mitsubishi Corporation (Japan) (JP), Université de Strasbourg (FR), The University of Tokyo (JP), Nagaoka University of Technology (JP)
Japan Society for the Promotion of Science
Responsible consumption and production
Openalex Percentile: Top 86%
Yeasts and Rust Fungi Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.