Unknown

Dataset Information

Transcriptome Analysis Reveals Photoperiod-Associated Genes Expressed in Rice Anthers.


ABSTRACT: Environmental conditions, such as photoperiod and temperature, can affect male fertility in plants. While this feature is heavily exploited in rice to generate male-sterile lines for hybrid breeding, the underlying molecular mechanisms remain largely unknown. In this study, we use a transcriptomics approach to identify key genes and regulatory networks affecting pollen maturation in rice anthers in response to different day lengths. A total of 11,726 differentially expressed genes (DEGs) were revealed, of which 177 were differentially expressed at six time points over a 24-h period. GO enrichment analysis revealed that genes at all time points were enriched in transport, carbohydrate, and lipid metabolic processes, and signaling pathways, particularly phytohormone signaling. In addition, c

SUBMITTER: Sun S 

PROVIDER: S-EPMC7953911 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature