Aluminium (Al) toxicity is the single most important contributing factor constraining crop productivity in acidic soils. Hydroponics based screening of three rice genotypes, a tolerant (ARR09, AR), a susceptible (IR 1552, IR) and an acid soil adapted landrace (Theruvii, TH) revealed that AR accumulates less Al and shows minimum decrease in shoot and root biomass under Al toxicity conditions when compared with IR. Transcriptome data generated on roots (grown in presence or absence of Al) led to identification of ~1500 transcripts per genotype with percentage annotation ranging from 21.94% (AR) to 29.94% (TH). A total of 511, 804 and 912 DEGs were identified in genotypes AR, IR and TH, respectively. IR showed upregulation of transcripts involved in exergonic processes. AR appears to conserve energy by downregulating key genes of glycolysis pathway and maintaining transcript levels of key exergonic step enzymes under Al stress. The tolerance in AR appears to be as a result of novel mechanism as none of the reported Al toxicity genes or QTLs overlap with significant DEGs. Components of signal transduction and regulatory machinery like transcripts encoding zinc finger protein, calcieurin binding protein and cell wall associated transcripts are among the highly upregulated DEGs in AR, suggesting increased and better signal transduction in response to Al stress in tolerant rice. Sequencing of NRAT1 and glycine-rich protein A3 revealed distinct haplotype for indica type AR. The newly identified components of Al tolerance will help in designing molecular breeding tools to enhance rice productivity in acidic soils.www.nature.com/scientificreports www.nature.com/scientificreports/ downregulated, respectively. Similarly, 804 DEGs were identified in IR, out of which 219 were upregulated and 368 were downregulated. In the case of TH, out of a total of 912 DEGs, only 37 transcripts showed significant upregulation in presence of Al 3+ (Fig. 2B).
Scientific RepoRtS |(2020) 10:4580 | https://doi.
Validation of selected up-regulated DEGs by Q-PCR.A set of 15 genes were randomly selected and validated by qRT-PCR analysis in three biological replicates for confirming the results obtained from DEG analysis. The analysis revealed similar expression pattern for all the selected genes in qPCR analysis as observed from RNA-seq data. The statistical analysis also showed significant association (r 2 = 0.78) between the results of qPCR and RNA-seq data analyses (Fig. 2C).Scientific RepoRtS | (2020) 10:4580 | https://doi.National Center for Biotechnology Information (NCBI) was used for BLASTx 56 (E value ≤0.00001; annotation cutoff = 55; GO weight = 5). The transcriptome for the three genotypes was analyzed for a) DEGs and b) transcripts which were specific to the Al concentration (treatment (0.54 mM Al 3+ )).