Machine Learning Inference of Gene Regulatory Networks in Developing Mimulus Seeds.

ABSTRACT: The angiosperm seed represents a critical evolutionary breakthrough that has been shown to propel the reproductive success and radiation of flowering plants. Seeds promote the rapid diversification of angiosperms by establishing postzygotic reproductive barriers, such as hybrid seed inviability. While prezygotic barriers to reproduction tend to be transient, postzygotic barriers are often permanent and therefore can play a pivotal role in facilitating speciation. This property of the angiosperm seed is exemplified in the Mimulus genus. In order to further the understanding of the gene regulatory mechanisms important in the Mimulus seed, we performed gene regulatory network (GRN) inference analysis by using time-series RNA-seq data from developing hybrid seeds from a viable cr

SUBMITTER: Tucci A 

PROVIDER: S-EPMC11644258 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature