Transcriptome Profiling of a Salt Excluder Hybrid Grapevine Rootstock 'Ruggeri' throughout Salinity.
Pranavkumar GajjarAhmed IsmailMd Tabibul IslamMohammad MoniruzzamanAhmed G DarwishAhmed S DawoodAhmed G MohamedAmr M HaikalAbdelkareem M El-SaadyAshraf El-KereamySherif M SherifMichael D AbazingeDevaiah KambirandaIslam El-SharkawyPublished in: Plants (Basel, Switzerland) (2024)
Salinity is one of the substantial threats to plant productivity and could be escorted by other stresses such as heat and drought. It impairs critical biological processes, such as photosynthesis, energy, and water/nutrient acquisition, ultimately leading to cell death when stress intensity becomes uncured. Therefore, plants deploy several proper processes to overcome such hostile circumstances. Grapevine is one of the most important crops worldwide that is relatively salt-tolerant and preferentially cultivated in hot and semi-arid areas. One of the most applicable strategies for sustainable viticulture is using salt-tolerant rootstock such as Ruggeri (RUG). The rootstock showed efficient capacity of photosynthesis, ROS detoxification, and carbohydrate accumulation under salinity. The current study utilized the transcriptome profiling approach to identify the molecular events of RUG throughout a regime of salt stress followed by a recovery procedure. The data showed progressive changes in the transcriptome profiling throughout salinity, underpinning the involvement of a large number of genes in transcriptional reprogramming during stress. Our results established a considerable enrichment of the biological process GO-terms related to salinity adaptation, such as signaling, hormones, photosynthesis, carbohydrates, and ROS homeostasis. Among the battery of molecular/cellular responses launched upon salinity, ROS homeostasis plays the central role of salt adaptation.
Keyphrases
- cell death
- microbial community
- single cell
- rna seq
- genome wide
- gene expression
- dna damage
- reactive oxygen species
- climate change
- multiple sclerosis
- dna methylation
- stress induced
- cell cycle arrest
- minimally invasive
- electronic health record
- high intensity
- single molecule
- machine learning
- solid state
- genome wide analysis