DECUSSATE network with flowering genes explains the variable effects of qDTY12.1 to rice yield under drought across genetic backgrounds.
Jacobo SanchezPushpinder Pal KaurIsaiah C M PabuayonNaga Bhushana Rao KarampudiAi KitazumiNitika SandhuMargaret CatolosArvind KumarBenildo G De Los ReyesPublished in: The plant genome (2021)
The impact of qDTY12.1 in maintaining yield under drought has not been consistent across genetic backgrounds. We hypothesized that synergism or antagonism with additive-effect peripheral genes across the background genome either enhances or undermines its full potential. By modeling the transcriptional networks across sibling qDTY12.1-introgression lines with contrasting yield under drought (LPB = low-yield penalty; HPB = high-yield penalty), the qDTY12.1-encoded DECUSSATE gene (OsDEC) was revealed as the core of a synergy with other genes in the genetic background. OsDEC is expressed in flag leaves and induced by progressive drought at booting stage in LPB but not in HPB. The unique OsDEC signature in LPB is coordinated with 35 upstream and downstream peripheral genes involved in floral development through the cytokinin signaling pathway. Results support the differential network rewiring effects through genetic coupling-uncoupling between qDTY12.1 and other upstream and downstream peripheral genes across the distinct genetic backgrounds of LPB and HPB. The functional DEC-network in LPB defines a mechanism for early flowering as a means for avoiding the drought-induced depletion of photosynthate needed for reproductive growth. Its impact is likely through the timely establishment of stronger source-sink dynamics that sustains a robust reproductive transition under drought.
Keyphrases
- genome wide
- arabidopsis thaliana
- climate change
- dna methylation
- copy number
- heat stress
- signaling pathway
- plant growth
- genome wide identification
- gene expression
- bioinformatics analysis
- multiple sclerosis
- genome wide analysis
- nitric oxide
- pi k akt
- chemotherapy induced
- endoplasmic reticulum stress
- high glucose
- network analysis