Transcriptomic Analysis of Dark-Induced Senescence in Bermudagrass (Cynodon dactylon)

Area of Science:

• Plant Science
• Molecular Biology
• Genomics

Background:

• Turfgrass cultivation in forests leads to inevitable leaf senescence due to light deficiency.
• This senescence negatively impacts turfgrass survival and aesthetic quality.
• The precise molecular mechanisms of dark-induced leaf senescence in turfgrass remain largely unknown.

Purpose of the Study:

• To investigate gene regulation in response to dark-induced leaf senescence in bermudagrass using RNA sequencing.
• To identify differentially expressed genes (DEGs) and their associated pathways.
• To elucidate the genetic basis of turfgrass response to prolonged darkness.

Main Methods:

• RNA sequencing (RNA-seq) was employed to analyze gene expression profiles.
• Bioinformatics analysis was conducted to identify DEGs and enriched pathways.
• Quantitative real-time PCR (qRT-PCR) was used to validate sequencing results.

Main Results:

• A total of 159,207 unigenes were identified.
• 59,062 genes were found to be differentially expressed between control and dark-treated leaves.
• DEGs were primarily involved in plant hormone signal transduction, N-glycan biosynthesis, and protein processing in the endoplasmic reticulum.
• Key transcription factor families (WRKY, NAC, HSF, bHLH) showed altered expression.

Conclusions:

• This study provides a comprehensive overview of gene expression changes during dark-induced leaf senescence in bermudagrass.
• The findings highlight the significant role of plant hormone signaling pathways in this process.
• The results contribute to a better understanding of the molecular mechanisms underlying turfgrass adaptation to low-light conditions.