Transcriptome profiling of contrasting rice genotypes in response to submergence during seed germination
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB10405 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR986071.fastq.gz | Fastqsanger.gz | |||
| ERR986072.fastq.gz | Fastqsanger.gz | |||
| ERR986073.fastq.gz | Fastqsanger.gz | |||
| ERR986074.fastq.gz | Fastqsanger.gz | |||
| ERR986075.fastq.gz | Fastqsanger.gz |
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Project description:This transcriptome experiment identified a core set of genes differentially regulated under submergence between tolerant and sensitive rice genotypes. This differential modulation of gene expressions could contribute to the level of flooding tolerance in diverse rice genotypes. Rare allele-specific gene regulations and genotype-specific adaptive mechanisms could further promote the submergence tolerance in those genotypes with extremely adaptive phenotype.
2017-05-31 | E-MTAB-3834 | biostudies-arrayexpress
Project description:An indica rice cultivar FR13A, is widely grown as submergence tolerant variety and can withstand submergence up to two weeks. The tolerance is governed by a major QTL on chromosome 9 and represented as sub1. Recently the gene for sub1 has been mapped and cloned. However, the trait is governed by several QTLs and not by a single gene. To understand the mechanism of submergence tolerance we selected, two indica rice genotypes namely, I) FR13A, a tolerant indica variety and ii) IR24, a susceptible genotype for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under constitutive and submerged conditions at seedling stage. Keywords: Mechanism of submergence tolerance
2007-11-24 | GSE6362 | GEO
Project description:Most rice (Oryza sativa L.) cultivars die within several days of complete submergence, but some indica cultivars, such as FR13A, can survive up to 2 weeks of complete submergence. In FR13A, a major quantitative trait locus (QTL), named Sub1, provides mature plants with submergence tolerance. However, the Sub1 locus can not confer flooding tolerance during germination to FR13A. Another indica cultivar, Goda Heenati, shows both tolerance to flooding during germination and submergence in mature plants. It was once reported that submergence tolerance in FR13A and Goda Heenati cultivars was controlled by their respective genetic locus. These evidences indicate that tolerance to submergence in these two cultivars may involve differential mechanisms. To gain insight into their putatively differential responses to submergence stress, the Agilent rice genome 4×44 K oligonucleotide microarray was used to explore the transcriptome of FR13A and Goda Heenati under control and submergence-stressed conditions. Two-way ANOVA analysis with Benjamini-Hochberg false discovery rate demonstrated that at an overall P＜0.01 level, 2810, 8207, and 4 probes were significantly regulated for genotype, treatment, and genotype×treatment interaction, respectively. To identify statistically significant differentially expressed genes, a combined criterion of 2-fold or more change and unpaired t-test P value < 0.01 was uesd for both FR13A and Goda Heenati. A total of 504 probes were up-regulated and 592 probes were down-regulated in FR13A under submergence stress. In Goda Heenati, 998 probes were induced and 1186 probes were suppressed by submergence treatment.
2010-12-01 | GSE23574 | GEO
Project description:An indica rice cultivar FR13A, is widely grown as submergence tolerant variety and can withstand submergence up to two weeks. The tolerance is governed by a major QTL on chromosome 9 and represented as sub1. Recently the gene for sub1 has been mapped and cloned. However, the trait is governed by several QTLs and not by a single gene. To understand the mechanism of submergence tolerance we selected, two indica rice genotypes namely, I) FR13A, a tolerant indica variety and ii) IR24, a susceptible genotype for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under constitutive and submerged conditions at seedling stage. SUBMITTER_CITATION: Combining In Silico Mapping and Arraying: an Approach to Identifying Common Candidate Genes for Submergence Tolerance and Resistance to Bacterial Leaf Blight in Rice. Mol. Cells 2007 24:394-408. Experiment Overall Design: We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice leaf tissues during submergence treatment. We used two contrasting rice genotypes (FR13A tolerant and IR24 susceptible) differing in submergence response. Plants were grown in growth chambers and treated by submerging the plants in transparent polythene bags on14th DAS. Leaf sampling was done in both constitutive and treated plants at 3 time points. Two replications of microarray experiments were carried out by hybridizing the RNA from tolerant samples against the susceptible lines.
2008-06-14 | E-GEOD-6362 | biostudies-arrayexpress
Project description:Maize is highly sensitive to short term flooding and submergence. We aimed to discover genetic variation for submergence tolerance in maize and elucidate the genetic basis of submergence tolerance through transcriptional profiling of contrasting genotypes. A diverse set of maize nested association mapping (NAM) founder lines were screened, and two highly tolerant (Mo18W and M162W) and sensitive (B97 and B73) genotypes were identified. Transcriptome analysis was performed on these inbreds to provide genome level insights into the molecular responses to submergence.
2015-01-01 | GSE63429 | GEO
Project description:Maize is highly sensitive to short term flooding and submergence. We aimed to discover genetic variation for submergence tolerance in maize and elucidate the genetic basis of submergence tolerance through transcriptional profiling of contrasting genotypes. A diverse set of maize nested association mapping (NAM) founder lines were screened, and two highly tolerant (Mo18W and M162W) and sensitive (B97 and B73) genotypes were identified. Transcriptome analysis was performed on these inbreds to provide genome level insights into the molecular responses to submergence. RNA deep sequencing of shoot tissue from four inbreds (B73, B97, Mo18W and M162W) in three conditions 24h control (non-submerged), 24h submerged and 72h submerged.
2015-01-01 | E-GEOD-63429 | biostudies-arrayexpress
Project description:Little is known of the consequences of genetic pyramiding of abiotic stress tolerance loci in crops. In rice (Oryza sativa L.), ANAEROBIC GERMINATION1 (AG1) encodes TREHALOSE 6-PHOSPHATE PHOSPHATASE 7 (OsTPP7) that enhances mobilization of endosperm reserves to the embryo, promoting formation of a highly elongated hollow coleoptile in seeds sown directly into shallow paddies. This trait reduces labor costs and herbicide use. SUBMERGENCE1 (SUB1) includes the ethylene-responsive transcription factor SUB1A that confers tolerance to complete submergence by dampening shoot elongation of vegetative-phase plants and enhancing regrowth upon desubmergence. As OsTPP7 and SUB1A-1 mRNAs simultaneously accumulate in shoots, we evaluated the independent contribution and interactions between these loci in rice seeded under complete submergence until the four-leaf stage (14 d). Evaluating growth, carbohydrates, and the transcriptome of shoot tissue of four near-isogenic genotypes uncovered independent and interacting effects including: (a) early enhanced coleoptile elongation by IR64(AG1); (b) precocious transition to phototrophy followed by limited elongation by IR64(SUB1); and (c) delayed phototrophy by IR64(AG1, SUB1). mRNA-sequencing highlighted time-dependent and genotype-specific regulation of mRNAs associated with energy sensing, carbohydrate catabolism, photomorphogenesis, elongation, and defense responses. Although SUB1A did not antagonize AG1 in direct seeding, seedling establishment could be negatively impacted if submergence escape does not occur before the transition to photoautotrophy, due to antithetical regulation of carbohydrate catabolism by AG1 and SUB1.
2020-07-05 | GSE136885 | GEO
Project description:Sampada and Sujata are two contrasting genotypes of Papaver somniferum that are contrasting in terms of their latex and alkaloid profiles. The major objective of the present study was to use a small-scale (750 target genes) microarray of P. somniferum for identification of genes that are differentially expressed in the capsule walls of the two contrasting genotypes, Sampada and Sujata. Nidarshana Chaturvedi and Mridula Singh made equal contribution as first authors to this data.
2013-12-30 | GSE37983 | GEO
Project description:Drought avoidance mechanism is one of the component mechanisms contributing for drought tolerance in which roots serves as the master keys, but poorly understood. Comparative analysis of drought stress responsive root transcriptome between drought-tolerant Nootripathu and drought-susceptible IR20 In this study, we used microarrays to dissect out drought responsive changes in roots of two contrasting rice genotypes viz., IR 20 (a shallow rooted lowland indica genotype) and Nootripathu (a deep rooted upland indica genotype) at molecular level.
2018-04-01 | GSE92883 | GEO
Project description:Rice (Oryza sativa), the major staple food crop is being cultivated under varying ecosystems ranging from irrigated lowland to rainfed upland environments. Improvement in the rice production under drought prone unfavourable environment depends on the development of drought tolerant genotypes which needs thorough understanding of physiological and molecular events behind the tolerance mechanism. There is considerable genetic variation for drought tolerance mechanism within the cultivated gene pool. To understand the diversity of drought response, two indica rice genotypes namely, i) Apo, an up-land drought tolerant indica veriety from Philippines and ii) IR64, a popular high yielding drought susceptible genotype were selected for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under control and drought stressed conditions during vegetative phase. Keywords: Drought response
2012-05-01 | GSE5978 | GEO