Transcriptomics

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.This work provides a new understanding on photoperiodsensitive pollen development in rice, and our gene expression database will provide a new, comprehensive resource to identify new environmentally sensitive genes regulating male fertility for use in crop improvement.

ORGANISM(S): Oryza sativa Japonica Group

PROVIDER: GSE163030 | GEO | 2021/01/13

REPOSITORIES: GEO

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