Refining the resolution of the yeast genotype-phenotype map using single-cell RNA-sequencing.

ABSTRACT: Genotype-phenotype mapping (GPM), or the association of trait variation to genetic variation, has been a long-lasting problem in biology. The existing approaches to this problem allowed researchers to partially understand within- and between-species variation as well as the emergence or evolution of phenotypes. However, traditional GPM methods typically ignore the transcriptome or have low statistical power due to challenges related to dataset scale. Thus, it is not clear to what extent selection modulates transcriptomes and whether cis- or trans-regulatory elements are more important. To overcome these challenges, we leveraged the cost efficiency and scalability of single-cell RNA sequencing (scRNA-seq) by collecting data from 18,233 yeast cells from 4489 F2 segregants derived from an F1

SUBMITTER: N'Guessan A 

PROVIDER: S-EPMC12303567 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature