Ontology highlight
ABSTRACT:
PROVIDER: PRJNA797171 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17625836.fastq.gz | Fastqsanger.gz | |||
| SRR17625837.fastq.gz | Fastqsanger.gz | |||
| SRR17625838.fastq.gz | Fastqsanger.gz | |||
| SRR17625839.fastq.gz | Fastqsanger.gz | |||
| SRR17625840.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 27 |
Similar Datasets
Project description:MeGRX232 and MeGRX360 are drought-inducible CC-type glutaredoxins in cassava. Overexpression of them in Arabidopsis caused different effects on plant growth. We used microarray to identified the different expression genes in MeGRX232-OE and MeGRX360-OE Arabidopsis
2016-05-06 | GSE81136 | GEO
Project description:Cassava is a drought–resistant food crop in tropical and subtropical regions. Although cassava is a relatively drought-tolerant species, the development and yields are greatly affected by the adverse drought conditions. Information about molecular breeding will obtain by studying genetic regulatory mechanism. In this study, we demonstrate the drought-tolerant mechanisms in leaves of both cassava varieties(Xinxuan048 and KU50) by using RNA-Seq technique. 1,880 and 2,066 differentially expressed genes(DEGs) were induced by drought stress in leaves of KU50 and Xinxuan048, respectively. DEGs in the response to drought stress involve in many regulated pathways. ROS- and ABA-associated signaling pathways and photosynthesis-associated regulation are mainly elucidated. In addition, alternative splicing and ingle nucleotide polymorphism also involve in drought-stress responses in both cassava varieties, showing their important roles in response to drought stress in leaves. This study not only increases the understanding of physiological and molecular mechanisms to the drought response in cassava, but also lays a solid foundation on the breeding of drought-resistant varieties using molecular methods.
2018-07-01 | GSE98537 | GEO
Project description:External application of acetic acid has been recently reported to enhance the survival to drought in plants such as Arabidopsis, rapeseed, maize, rice and wheat, but the effects of acetic acid application on increased drought tolerance in woody plants such as a tropical crop “cassava” remain elusive. A molecular understanding of acetic acid-induced drought avoidance in cassava will contribute to the development of technology that can be used to enhance drought tolerance without resorting to transgenic technology or advancements in cassava cultivation. In the present study, morphological, physiological and molecular responses to drought were analyzed in cassava after the treatment with acetic acid. Results indicated that the acetic acid-treated cassava plants had a higher level of drought avoidance than water-treated, control plants. Specifically, higher leaf relative water content, and chlorophyll and carotenoid levels were observed as soils dried out during the drought treatment. Leaf temperatures in acetic acid-treated cassava plants were higher relative to leaves on plants pretreated with water and the increase of ABA content was observed in leaves of acetic acid-treated plants, suggesting that stomatal conductance and the transpiration rate in leaves of acetic acid-treated plants decreased to maintain relative water contents and avoid drought. Transcriptome analysis revealed that the acetic acid treatment increased the expression of ABA signaling-related genes, such as OPEN STOMATA 1 (OST1) and protein phosphatase 2C; as well as drought response and tolerance-related genes, such as outer membrane tryptophan-rich sensory protein (TSPO), and heat shock proteins. Collectively, the external application of acetic acid enhances drought avoidance in cassava through the upregulation of ABA signaling pathway genes and several stress response- and tolerance-related genes. These data support the idea that adjustments of the acetic acid application to plants is useful to enhance drought tolerance in order to minimize the growth inhibition in the agricultural field.
2019-05-29 | GSE122140 | GEO
Project description:We developed a 60-mer oligonucleotide Agilent microarray representing about 20,000 cassava genes and applied it to expression profiling under drought stress. We demonstrated that our microarray is an useful tool for analyzing the cassava transcriptome and that it can be applied to various cassava species.
2012-06-15 | GSE31749 | GEO
Project description:We developed a 60-mer oligonucleotide Agilent microarray representing about 20,000 cassava genes and applied it to expression profiling under drought stress. We demonstrated that our microarray is an useful tool for analyzing the cassava transcriptome and that it can be applied to various cassava species. After cutting of shoots from the cassava plants, the shoots were grown in a glass bottle containing MS medium supplemented with 2% sucrose and 0.3% gelrite for 4 weeks (16 hours light / 8 hours dark). The plantlets were subjected to drought treatment by removing the plantlets from the gelrite plate, placing on a plastic plate and keeping them for 1 hour under 40-80 M-NM-<mol photons m-2 sec-1 at 30M-BM-:C in 50% of relative humidity. Then total RNA was prepared from the shoots and used for the microarray hybridization. Three replicative hybridization experiments were carried out using the independent biological samples.
2012-06-14 | E-GEOD-31749 | biostudies-arrayexpress
Project description:Cassava Anthracnose Disease (CAD) that caused by the fungus Colletotorichum anthracnose is a serious disease of cassava in worldwide. In this study, we aim to establish the cassava oligo-DNA microarray representing approximately 30,000 cassava genes and apply it to investigate the molecular mechanisms against fungal infection using two cassava cultivars; Huay Bong 60 (HB60, resistant line for CAD) and Hanatee (HN, sensitive line for CAD). Based on expression profiling, we showed that the expression of various biotic stress-inducible genes, such as detoxification enzyme related genes is higher in HB60 under the treated conditions and non-treated condition, compared with HN. These results show that stress-inducible signaling pathways including ROS detoxification are constitutively activated in HB60 even under normal growth conditions without stress. These results suggest that our microarray is a useful tool for analyzing the cassava transcriptome and add new insight into the host responses of cassava against fungal infection.
2016-12-31 | GSE63223 | GEO
Project description:Cassava (Manihot esculenta) is the food security crop that feeds approximately 800 million people worldwide. Although this crop displays high productivity under drought and poor soil conditions, it is susceptible to disease, postharvest deterioration and the roots contain low nutritional content. Cassava improvement programs are focused on addressing these constraints but are hindered by the crop’s high heterozygosity, difficulty in synchronizing flowering, low seed production and a poor understanding of the physiology of this plant. Among the major food crops, cassava is unique in its ability to develop massive, underground storage roots. Despite the importance of these structures, their basic physiology remains largely unknown, especially the molecular genetic basis of storage root development. Similarly, in cassava, the favored target tissue for transgene integration and genome editing is a friable embryogenic callus (FEC). Little is known concerning gene expression in this tissue, or its relatedness to the somatic organized embryogenic structures (OES) from which it originates. Here, we provide molecular identities for eleven cassava tissue types through RNA sequencing and develop an open access, web-based interface for further interrogation of the data. Through this dataset, we report novel insight into the physiology of cassava and identify promoters able to drive specified tissue expression profiles. The information gained from this study is of value for both conventional and biotechnological improvement programs.
2016-06-07 | GSE82279 | GEO
Project description:Analysis of transcriptional response of virus-infected cassava and identification of putative sources of resistance for cassava brown streak disease transcriptome analysis of two varieties of cassava that differ in their level of resistance to cassava brown streak virus.
2014-04-03 | E-GEOD-56467 | biostudies-arrayexpress
Project description:Agrobacterium-mediated cassava transformation via friable embryogenic callus (FEC) has allowed the robust production of transgenic cassava. So far, the transformation has been performed mostly for 60444 (the model cassava variety for transformation) and African varieties due to the high ability of callus induction and good regeneration capacity from embryogenic tissues. It is important to develop the transformation methods for elite cassava varieties in Asian area which is one of main cassava production area in the world, however, the suitable transformation method for Asian elite variety via FEC has not been reported. Here, we developed the transformation method in Kasetsart 50 (KU50) which has the highest planting area in Thailand and Vietnam. In cassava transformation, the preparation of FEC is considered as a key step. The ability of FEC induction from KU50 was improved efficiently by the use of media with reduced nutrients and excess vitamin B1, even if the FEC-inducible efficiency was 5 times lower compared with cv. 60444. The optimal concentration of NAA for regeneration from FEC to cotyledon was 1.0 mg/L and the optimal concentration of BAP for shoot formation from cotyledon was 0.4 mg/L. The transformation efficiency was estimated as 45% for 60444 and 22% for KU50. Transcriptome analysis indicated that KU50 FEC is out of balance between cell wall production and assembly, because the expression of the genes related to loosing cell wall was upregulated in the FEC from KU50 compared with 60444. We hope that the developed technology will contribute to molecular breeding of useful cassava plants in Asia by the simultaneous use of genome-editing technology.
2022-03-26 | GSE169685 | GEO