Transcriptomic data-driven discovery of global regulatory features of rice seeds developing under heat stress.

ABSTRACT: Plants respond to abiotic stressors through a suite of strategies including differential regulation of stress-responsive genes. Hence, characterizing the influences of the relevant global regulators or on stress-related transcription factors is critical to understand plant stress response. Rice seed development is highly sensitive to elevated temperatures. To elucidate the extent and directional hierarchy of gene regulation in rice seeds under heat stress, we developed and implemented a robust multi-level optimization-based algorithm called Minimal Regulatory Network identifier (MiReN). MiReN could predict the minimal regulatory relationship between a gene and its potential regulators from our temporal transcriptomic dataset. MiReN predictions for global regulators including stress-respons

SUBMITTER: Islam MM 

PROVIDER: S-EPMC7522763 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature