Drought and Oxidative Stress in Flax ( Linum usitatissimum L.) Entails Harnessing Non-Canonical Reference Gene for Precise Quantification of qRT-PCR Gene Expression.
Prasanta K DashRhitu RaiSharat Kumar PradhanSheelavanta Matha ShivarajRupesh Kailasrao DeshmukhManiraj RathinamNagendra Kumar SinghPublished in: Antioxidants (Basel, Switzerland) (2023)
Flax ( Linum usitatissimum L.) is a self-pollinating, annual, diploid crop grown for multi-utility purposes for its quality oil, shining bast fiber, and industrial solvent. Being a cool (Rabi) season crop, it is affected by unprecedented climatic changes such as high temperature, drought, and associated oxidative stress that, globally, impede its growth, production, and productivity. To precisely assess the imperative changes that are inflicted by drought and associated oxidative stress, gene expression profiling of predominant drought-responsive genes (AREB, DREB/CBF, and ARR) was carried out by qRT-PCR. Nevertheless, for normalization/quantification of data obtained from qRT-PCR results, a stable reference gene is mandatory. Here, we evaluated a panel of four reference genes ( Actin , EF1a , ETIF5A , and UBQ ) and assessed their suitability as stable reference genes for the normalization of gene expression data obtained during drought-induced oxidative stress in flax. Taking together, from the canonical expression of the proposed reference genes in three different genotypes, we report that EF1a as a stand-alone and EF1a and ETIF5A in tandem are suitable reference genes to be used for the real-time visualization of cellular impact of drought and oxidative stress on flax.
Keyphrases
- genome wide identification
- genome wide
- climate change
- oxidative stress
- gene expression
- dna methylation
- arabidopsis thaliana
- plant growth
- heat stress
- transcription factor
- genome wide analysis
- copy number
- dna damage
- bioinformatics analysis
- electronic health record
- ischemia reperfusion injury
- big data
- diabetic rats
- heat shock
- poor prognosis
- induced apoptosis
- wastewater treatment
- drug delivery
- artificial intelligence
- nitric oxide
- heat shock protein
- fatty acid
- cancer therapy