Ontology highlight
ABSTRACT:
PROVIDER: PRJNA596791 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10742428_1.fastq.gz | Fastqsanger.gz | |||
| SRR10742428_2.fastq.gz | Fastqsanger.gz | |||
| SRR10742429_1.fastq.gz | Fastqsanger.gz | |||
| SRR10742429_2.fastq.gz | Fastqsanger.gz | |||
| SRR10742430_1.fastq.gz | Fastqsanger.gz |
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Project description:HaHB11 is a divergent member of the sunflower homeodomain-leucine zipper I subfamily of transcription factors. A sunflower microarray was hybridized with RNA from HaHB11-transformed leaf-disks and its analysis indicated the regulation of many genes encoding enzymes from fermentative pathways. A 1300 bp sequence exhibiting flooding-responsive cis-acting elements, upstream the transcription initiation site, was isolated and Arabidopsis plants transformed with a construct in which this promoter directs GUS expression. GUS expression was induced after flooding treatments and, in the same sense, HaHB11 expression was induced by flooding stress in sunflower. Furthermore, Arabidopsis plants were transformed with different constructs, varying in the promoter used, able to express HaHB11 cDNA. These transgenic plants exhibited differential phenotypes which the more remarkable traits were a significant increase in the rosette biomass and seeds yield. Moreover these plants exhibited an enhanced tolerance to flooding stress, both to submergence and waterlogging. Starch, sucrose and glucose contents were higher in the transgenics compared to WT and decreased less after submergence treatments. Finally, transcript levels of selected genes, involved in fermentative pathways, and the corresponding enzymatic activities were assessed both in sunflower and transgenic Arabidopsis plants after submergence indicating a general repression of the fermentative pathway which suggested that tolerance occurs via the quiescent strategy. Altogether the results indicated a role for HaHB11 in the flooding response and allowed us to propose this gene as a biotechnological tool to improve crops for increased yield and biomass and flooding tolerance.
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Project description:To decipher stress responses under flooding and drought as well as flooding-tolerant mechanisms in soybean, the mathematic biological approach of simulation model was applied. Furthermore, wild-type soybean with ABA treatment and flooding-tolerant mutant line, which displayed flooding tolerance, were used as the flooding-tolerant materials. Proteins acquired by gel-free/label-free proteomic technique were used for simulation model of responses under different stresses and flooding tolerant.
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Project description:In this project we are investigating the differential mechanism of tolerance in rice under combined stresses of salinity and partial submergence as encountered during saline water flooding by looking into expression profile of DEGs and uniquely expressed genes.
2021-06-30 | GSE124618 | GEO
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:Soybean, which provides abundant proteins and edible oil, is an important crop; however, it is very sensitive to flooding stress. The growth and grain yields of soybean are seriously reduced by flooding stress. To explore the initial flooding-tolerant mechanism of soybean, flooding-tolerant mutant line and ABA treated soybean were used. Because both material and treatment showed the flooding tolerance, the commonly changed proteins in plants under initial flooding stress were identified. To identify the common proteins, gel free/label free proteomic technique was used.
2019-01-09 | PXD003329 | Pride
Project description:Purpose: The State of Rio Grande do Sul is the largest producer of peaches from Brazil. However, it still has low values of productivity when compared to other States. One of the problems associated to it this is the occurrence of drainage soils problems, which can suffer flooding situations potentially hampering the development and productivity such culture. For studies to assist in the selection of flood tolerant genotypes, it is essential to understand the physiological and molecular changes of the plants in situations of oxygen deprivation. Using Illumina Hiseq2500 we performed transcriptome analysis of leaves from ‘Capdeboscq’ (Prunus persica) and ‘Julior’ (Prunus insititia x Prunus domestica) rootstocks under flooding for 48 hours. Methods: The mRNA of Prunus spp. plants cv. Capdeboscq e Julior was generated using deep sequencing, in triplicate, using Illumina Hi-Seq 2500, for the following treatments:I) control: plants received irrigation daily until field capacity; and II) plants exposed to flood stress, maintaining a water level of approximately 3 cm above the ground. The sequence reads that passed quality filters were analyzed at the transcript level using this method: Mapping using STAR and identification of differentially expressed genes (DEGs) was performed with the edgeR (false discovery rates - FDRs of <0.05). RT–qPCR validation was performed using SYBR Green assays. Results: Flooding stress causes important high transcriptional changes in the ‘Capdeboscq’ compared to 'Julior' and this is mainly due to their sensitivity/tolerance levels. ‘Capdeboscq’ had photosynthesis as the most affected physiological process at the molecular level, showing a large number of down-regulated enriched GOs, even though it activated cellular signaling pathways under flooding. 'Julior' was more efficient in defense responses, which include the activation of flavonoid biosynthesis pathways. Conclusions: The analysis of two Prunus spp. rootstocks contrasting to the level of tolerance / sensitivity provide new insights into the process of plant flood stress tolerance.
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Project description:Alfalfa (Medicago sativa) is the most widely grown and most important forage crop in the world. However, alfalfa is susceptible to waterlogging stress, which is the major constraint for its cultivation area and crop production. So far, the molecular mechanism of alfalfa response to the waterlogging is largely unknown. Here, comparative transcriptome combined with proteomic analyses of two cultivars (M12, tolerant; M25, sensitive) of alfalfa showing contrasting tolerance to waterlogging were performed to understand the mechanism of alfalfa in response to waterlogging stress. Totally, 748 (581 up- and 167 down-regulated) genes were differentially expressed in leaves of waterlogging-stressed alfalfa compared with the control (M12_W vs M12_CK), whereas 1193 (740 up- and 453 down-regulated) differentially abundant transcripts (DATs) were detected in the leaves of waterlogging-stressed plants in comparison with the control plants (M25_W vs M25_CK). Furthermore, a total of 187 (122 up- and 65 down-regulated) and 190 (105 up- and 85 down-regulated) differentially abundant proteins (DAPs) were identified via iTRAQ method in M12_W vs M12_CK and M25_W vs M25_CK comparison, respectively. Compared dataset analysis of proteomics and transcriptomics revealed that 27 and 8 genes displayed jointly up-regulated or down-regulated expression profiles at both mRNA and protein levels in M12_W vs M12_CK comparison, whereas 30 and 27 genes were found to be co-up-regulated or co-down-regulated in M25_W vs M25_CK comparison, respectively. The strongly enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways for co-up-regulated genes at mRNA and protein levels in M12_W vs M12_CK comparison were ‘Amino sugar and nucleotide sugar metabolism’, ‘Arginine and proline metabolism’ and ‘Starch and sucrose metabolism’, whereas co-up-regulated protein-related pathways including ‘Arginine and proline metabolism’ and ‘Valine, leucine and isoleucine degradation’ were largely enriched in M25_W vs M25_CK comparison. Importantly, the identified genes related to beta-amylase, Ethylene response Factor (ERF), Calcineurin B-like (CBL) interacting protein kinases (CIPKs), Glutathione peroxidase (GPX) and Glutathione-S-transferase (GST) may play key roles in conferring alfalfa tolerance to waterlgging stress. The present study may contribute to our understanding the molecular mechanism underlying the responses of alfalfa to waterlogging stress, and also provide important clues for further study and in-depth characterization of waterlogging-resistance breeding candidate genes in alfalfa.
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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.
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