Long read cassava genome assemblies
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB27129 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Cassava genomes assembled with single-molecule long reads, optical and Hi-C
| PRJNA508471 | ENA
Project description:Cassava is the most important root crop in the tropics but rapid post-harvest physiological root deterioration (PPD) is a major constraint to commercial cassava production. We used label-free quantitative proteomics to generate an extensive cassava root and PPD proteome. Over 2400 unique proteins were identified in the cassava root and nearly 300 proteins showed significant abundance regulation during PPD. A candidate gene for reducing PPD was identified from the regulated proteins with enzymatic assays and afterwards verified with a transgene approach. This demonstrates the relevance of proteomics approach for crop improvements.
2014-06-03 | PXD000587 | Pride
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: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:Analysis of transcriptional response of virus-infected cassava and identification of putative sources of resistance for cassava brown streak disease
2014-04-03 | GSE56467 | GEO
Project description:Cassava mosaic disease (CMD) suppresses cassava yields across the tropics. It has been reported that landraces lose CMD resistance after regeneration through de novo morphogenesis. We sequenced WGBS data of 14 samples.
2022-05-27 | GSE192748 | GEO
Project description:Cassava mosaic disease caused by cassava begomoviruses is the most serious disease of cassava in Africa. However, the molecular mechanisms leading to symptom development of infected cassava plants are poorly understood. Here a high throughput digital gene expression profiling (DGE) based on Illumina Solexa sequencing technology was used to investigate the global transcriptional response of cassava to the African cassava mosaic virus infection. Results showed that 3,210 genes were differentially expressed in virus-infected cassava leaves. Gene Ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that photosynthesis related genes were most affected, which was consistent with the chlorotic symptom on the infected leaves. The upregulation of chlorophyll degradation genes, e.g. the genes encoding chlorophyllase and pheophorbide a oxygenase, as well as the downregulation of the major apoproteins genes in light harvesting complex II (LHCII) identified by the DGE analysis were confirmed by qRT-PCR. Together with the reduction of chlorophyll b content and fewer grana stacks in the infected leaf cells, this study reveals that the degradation of chlorophyll plays an important role during ACMV symptom development for the first time. Meanwhile, we believe that the non-lethal effect on photosystem is a trick for virus to avoid fierce host immune response and a result of the long-term co-evolution. This study will provide a road map for future investigations into virus symptom development.
2014-04-01 | GSE47224 | GEO
Project description:Cassava mosaic disease caused by cassava begomoviruses is the most serious disease of cassava in Africa. However, the molecular mechanisms leading to symptom development of infected cassava plants are poorly understood. Here a high throughput digital gene expression profiling (DGE) based on Illumina Solexa sequencing technology was used to investigate the global transcriptional response of cassava to the African cassava mosaic virus infection. Results showed that 3,210 genes were differentially expressed in virus-infected cassava leaves. Gene Ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that photosynthesis related genes were most affected, which was consistent with the chlorotic symptom on the infected leaves. The upregulation of chlorophyll degradation genes, e.g. the genes encoding chlorophyllase and pheophorbide a oxygenase, as well as the downregulation of the major apoproteins genes in light harvesting complex II (LHCII) identified by the DGE analysis were confirmed by qRT-PCR. Together with the reduction of chlorophyll b content and fewer grana stacks in the infected leaf cells, this study reveals that the degradation of chlorophyll plays an important role during ACMV symptom development for the first time. Meanwhile, we believe that the non-lethal effect on photosystem is a trick for virus to avoid fierce host immune response and a result of the long-term co-evolution. This study will provide a road map for future investigations into virus symptom development. ACMV-infected cassava leaves mixture from three independent replicates were collected for RNA extractions at 20 dpi. Control samples were harvested from empty agrobacteria treated leaves incubated under the same conditions.
2014-04-01 | E-GEOD-47224 | biostudies-arrayexpress
Project description:The start site analysis of transcripts from WT and cold treated samples of cassava that were used with other multi-omics data to build gene model annotation of Cassava.
2024-05-28 | GSE225364 | 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