Transcriptomic expression patterns of two contrasting lowland rice varieties reveal high iron stress tolerance
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA631179 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Iron (Fe) toxicity is a major challenge for plant cultivation in acidic water-logged soil environments, where lowland rice is a major staple food crop. Only few studies addressed the molecular characterization of excess Fe tolerance in rice, and these highlight different mechanisms for Fe tolerance in the studied varieties. Here, we screened 16 lowland rice varieties for excess Fe stress growth responses to identify contrasting lines, Fe-tolerant Lachit and -susceptible Hacha. Hacha and Lachit differed in their physiological and morphological responses to excess Fe, including leaf growth, leaf rolling, reactive oxygen species generation, Fe and metal contents. These responses were mirrored by differential gene expression patterns, obtained through RNA-sequencing, and corresponding GO term enrichment in tolerant versus susceptible lines. From the comparative transcriptomic profiles between Lachit and Hacha in response to excess Fe stress, individual genes of the category metal homeostasis, mainly root-expressed, may contribute to the tolerance of Lachit. 22 out of these 35 metal homeostasis genes are present in selection sweep genomic regions, in breeding signatures and/or differentiated during rice domestication. These findings will serve to design targeted Fe tolerance breeding of rice crops.
2020-05-09 | GSE150103 | 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:Two alfalfa varieties, 'Chilean' (M. sativa ssp. sativa var. Chilean, drought sensitive) and 'Wisfal' (M. sativa ssp. falcata var. Wisfal, drought tolerant), with contrasting water use efficiency were subjected to water withholding for 11 days followed by re-watering. Samples were taken for well-watered plants and plants after five, eight, eleven days of drought stress as well as plants after recovery for one day following drought stress. Roots and shoots were sampled and analyzed separately by expression profiling using Affymetrix Medicago GeneChip.
2011-08-29 | E-MEXP-3320 | biostudies-arrayexpress
Project description:Iron toxicity is one of the most common mineral disorders affecting Oryza sativa production in flooded lowland fields. Efforts have been made to develop new rice varieties tolerant to Fe toxicity (+Fe). Oryza meridionalis is an endemic from Northern Australia and grows in regions with Fe rich soils, which may provide Fe tolerance genes and mechanisms that can be used for adaptive breeding. Aiming to understand tolerance mechanisms in rice, we screened a population of interspecific introgression lines (IL) from a cross between O. sativa and O. meridionalis for the identification of QTLs contributing to Fe excess tolerance. Six putative QTLs were identified. A line carrying one introgression from O. meridionalis on chromosome 9 associated with one QTL for leaf bronzing score was identified as tolerant in terms of lipid peroxidation and electrolyte leakage despite presenting very high shoot Fe concentrations. Further physiological, biochemical, ionomic and transcriptomic analyses showed that the IL tolerance could be partly explained by Fe partitioning between the leaf sheath and culm. After the in silico construction of an interspecific hybrid genome to map the sequences from transcriptomic analysis, we identified 47 and 27 genes from O. meridionalis up and down-regulated, respectively, by Fe treatment on the tolerant IL. Among possible genes associated with shoot-based tolerance, we identified metallothionein-like proteins, genes from glutathione S-transferase family and transporters from ABC and Major Facilitator Superfamily. This is the first work to demonstrate that introgressions of O. meridionalis in O. sativa genome confer increased tolerance to +Fe
2021-10-08 | GSE151559 | GEO
Project description:Two alfalfa varieties contrasting in heat tolerance, MS30 and MS37, were used for this experiment, and their seeds were provided by Sichuan Academy of Grassland Sciences. After two months of growth, both alfalfa varieties grow into adult-plants. Select 10-15 healthy plants with consistent growth to remain in each nutritional bowl. All materials are transferred to artificial climate boxes for high temperature stress treatment. The light cycle is still the day/night cycle:16/8h. According to the results of a prior experiment and based on the relevant report, the treatment temperature was set to 20℃, 25℃, 30℃, 35℃, 40℃ and 4℃, which is a gradient upward trend. Among them, alfalfa growing at 20°C were used as the control (non-HT stress). All alfalfa varieties were treated at each temperature gradient for 7 days and the leaves was collected for the determination of physiological indicators. Moreover, the physiological conditions of the plants and the humidity of the climate box were observed at any time. water the plants properly once a day, and the alfalfa special fertilizer was applied once in each cycle of temperature stress treatment to ensure the water and nutrition demand of the plant. Based on the results of the above experiment, some physiological responses demonstrated that most alfalfa varieties showed the most significant variation at 20℃, 35℃ and 43℃. Therefore, leaf samples collected from plants after exposure to the rising temperature 7 days were harvested for further TMT quantitative proteomic analysis.
2022-02-17 | PXD025642 | Pride
Project description:In this study, we analysed the proteomic response of 5mm sections of root tips to water-deficit stress in two contrasting genotypes of rice: IR64, a lowland, drought-susceptible, and shallow-rooting genotype; and Azucena, an upland, drought-tolerant, and deep-rooting genotype. Using a Partial Least Square Discriminant Analysis, we identified statistically significant differentially abundant proteins across genotypes and conditions. Analysis of biological processes led to the identification of novel proteins involved in root elongation with specific expression patterns in Azucena.
2022-08-11 | PXD033343 | Pride
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
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 We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice leaf tissues during drought stress. We used two contrasting rice genotypes (IR64 drought susceptible and Apo drought tolerant) differing in their degree of drought tolerance. Plants were grown under green house conditions and drought stress was imposed on 33rd DAS. Leaf sampling was done in both control and drought stressed plants after 6 days of drought stress. Three replications of microarray experiments were carried out by hybridizing the control samples against the drought stressed samples.
2012-04-30 | E-GEOD-5978 | biostudies-arrayexpress
Project description:Contrasting patterns of microbial dominance
| PRJEB44136 | ENA
Project description:The aim of this study was to minimize the number of candidate genes responsible for salt tolerance between a pair of rice varieties (CSR27 and MI48) with contrasting level of salt tolerance by bulked segregant analysis of their recombinant inbred lines. Microarray analysis of RNA extracted from the tolerant and susceptible parents without and with stress showed 798 and 2407 differentially expressed genes, respectively. The number of differentially expressed genes was drastically reduced to 70 and 30, by pooling the RNAs from ten extreme tolerant and ten extreme susceptible RILs due to normalization of irrelevant differentially expressed genes between the parents.
2010-04-20 | GSE16108 | GEO