Dataset Information

Isolation and transcription profiling of low-O2 stress-associated cDNA clones from the flooding-stress-tolerant FR13A rice genotype.

ABSTRACT:

Background

and Aims Flooding stress leads to a significant reduction in transcription and translation of genes involved in basal metabolism of plants. However, specific genes are noted to be up-regulated in this response. With the aim of isolating genes that might be specifically involved in flooding stress-tolerance mechanism(s), two subtractive cDNA libraries for the flooding-stress-tolerant rice genotype FR13A have been constructed, namely the single and double subtraction libraries (SSL and DSL, respectively).

Methods

To construct the SSL, mRNAs present in the unstressed control FR13A roots were subtracted from the mRNA pool present in low O2-stressed roots of FR13A rice seedlings. The DSL was constructed from mRNAs isolated from the roots of low O2-stressed FR13A rice seedlings from which pools of low-O2-stress up-regulated mRNAs from Pusa Basmati 1 and constitutively expressed mRNAs from FR13A roots were subtracted.

Results

In all, 400 and 606 cDNA clones were obtained from the SSL and DSL, respectively. Global transcript profiling by reverse northern analysis revealed that a large number of clones from these libraries were up-regulated by anaerobic stress. Importantly, selective up-regulated clones showed characteristic cultivar- and tissue-specific expression profiles. Sequencing and annotation of the up-regulated clones revealed that specific signal proteins, hexose transporters, ion channel transporters, RNA-binding proteins and transcription factor proteins possibly play important roles in the response of rice to flooding stress. Also a significant number of novel cDNA clones was noted in these libraries.

Conclusions

It appears that cellular functions such as signalling, sugar and ion transport and transcript stability play an important role in conferring higher flooding tolerance in the FR13A rice type.

SUBMITTER: Agarwal S

PROVIDER: S-EPMC4247047 | biostudies-literature | 2005 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Isolation and transcription profiling of low-O2 stress-associated cDNA clones from the flooding-stress-tolerant FR13A rice genotype.

Agarwal Sangeeta S Grover Anil A

Annals of botany 20050822 5

<h4>Background</h4>and Aims Flooding stress leads to a significant reduction in transcription and translation of genes involved in basal metabolism of plants. However, specific genes are noted to be up-regulated in this response. With the aim of isolating genes that might be specifically involved in flooding stress-tolerance mechanism(s), two subtractive cDNA libraries for the flooding-stress-tolerant rice genotype FR13A have been constructed, namely the single and double subtraction libraries ( ...[more]

PMID: 16115835

Similar Datasets

Project description:BackgroundDrought stress tolerance for crop improvement is an important goal worldwide. Drought is a complex trait, and it is vital to understand the complex physiological, biochemical, and molecular mechanisms of drought tolerance to tackle it effectively. Osmotic adjustment, oxidative stress management (OSM), and cell membrane stability (CMS) are major components of cellular tolerance under drought stress. In the current study, we explored the molecular basis of OSM in the drought tolerant rice variety, Nagina 22 and compared it with the popular drought sensitive rice variety, IR 64, under drought imposed at the reproductive stage, to understand how the parental polymorphisms correlate with the superiority of Nagina 22 and tolerant bulk populations under drought.ResultsWe generated recombinant inbred lines (RIL) from contrasting parents Nagina 22 and IR 64 and focussed on spikelet fertility (SF), in terms of its correlation with OSM, which is an important component of drought tolerance in Nagina 22. Based on SF under drought stress and its correlations with other yield related traits, we used superoxide dismutase (SOD), glutathione reductase (GR), and ascorbate peroxidase (APX) activity assays to establish the relationship between SF and OSM genes in the tolerant and sensitive lines. Among the OSM enzymes studied, GR had a significant and positive correlation with single plant yield (SPY) under drought stress. GR was also positively correlated with APX but negatively so with SOD. Interestingly, none of the enzyme-morphology correlations were significant under irrigated control (IC). Through genome-wide SNP analysis of the 21 genes encoding for OSM enzymes, we identified the functional polymorphisms between the parents and identified superior alleles. By using network analysis of OSM genes in rice, we identified the genes that are central to the OSM network.ConclusionsFrom the biochemical and morphological data and the SNP analysis, the superiority of Nagina 22 in spikelet fertility under drought stress is because of its superior alleles for SOD (SOD2, SODCC1, SODA) and GR (GRCP2) rather than for APX, for which IR 64 had the superior allele (APX8). Nagina 22 can bypass APX8 by directly interacting with SODA. For nine of the 11 genes present in the central network, Nagina 22 had the superior alleles. We propose that Nagina 22 tolerance could mainly be because of SODA which is a reactive oxygen scavenger in mitochondria which is directly associated with spikelet fertility.

Project description:BackgroundThe effects of viral infection involve concomitant plant gene variations and cellular changes. A simple system is required to assess the complexity of host responses to viral infection. The genome of the Rice yellow mottle virus (RYMV) is a single-stranded RNA with a simple organisation. It is the most well-known monocotyledon virus model. Several studies on its biology, structure and phylogeography have provided a suitable background for further genetic studies. 12 rice chromosome sequences are now available and provide strong support for genomic studies, particularly physical mapping and gene identification.ResultsThe present data, obtained through the cDNA-AFLP technique, demonstrate differential responses to RYMV of two different rice cultivars, i.e. susceptible IR64 (Oryza sativa indica), and partially resistant Azucena (O. s. japonica). This RNA profiling provides a new original dataset that will enable us to gain greater insight into the RYMV/rice interaction and the specificity of the host response. Using the SIM4 subroutine, we took the intron/exon structure of the gene into account and mapped 281 RYMV stress responsive (RSR) transcripts on 12 rice chromosomes corresponding to 234 RSR genes. We also mapped previously identified deregulated proteins and genes involved in partial resistance and thus constructed the first global physical map of the RYMV/rice interaction. RSR transcripts on rice chromosomes 4 and 10 were found to be not randomly distributed. Seven genes were identified in the susceptible and partially resistant cultivars, and transcripts were colocalized for these seven genes in both cultivars. During virus infection, many concomitant plant gene expression changes may be associated with host changes caused by the infection process, general stress or defence responses. We noted that some genes (e.g. ABC transporters) were regulated throughout the kinetics of infection and differentiated susceptible and partially resistant hosts.ConclusionWe enhanced the first RYMV/rice interaction map by combining information from the present study and previous studies on proteins and ESTs regulated during RYMV infection, thus providing a more comprehensive view on genes related to plant responses. This combined map provides a new tool for exploring molecular mechanisms underlying the RYMV/rice interaction.

Dataset Information

Isolation and transcription profiling of low-O2 stress-associated cDNA clones from the flooding-stress-tolerant FR13A rice genotype.

Background

Methods

Results

Conclusions

Publications

Isolation and transcription profiling of low-O2 stress-associated cDNA clones from the flooding-stress-tolerant FR13A rice genotype.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets