Flexible use of conserved motif vocabularies constrains genome access in cell type evolution.

ABSTRACT: Cell types evolve into a hierarchy with related types grouped into families. How cell type diversification is constrained by the stable separation between families over vast evolutionary times remains unknown. Here, integrating single-nucleus multiomic sequencing and deep learning, we show that hundreds of sequence features (motifs) divide into distinct sets associated with accessible genomes of specific cell type families. This division is conserved across highly divergent, early-branching animals including flatworms and cnidarians. While specific interactions between motifs delineate cell type relationships within families, surprisingly, these interactions are not conserved between species. Consistently, while deep learning models trained on one species can predict accessibility of other

SUBMITTER: Chai C 

PROVIDER: S-EPMC11398382 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature