Whole genome bisulfite sequencing data of Russian wheat aphid biotypes SA1 and SAM
Ontology highlight
ABSTRACT:
ORGANISM(S): Diuraphis noxia
PROVIDER: GSE119504 | GEO | 2020/07/15
REPOSITORIES: GEO
Similar Datasets
Project description:The aim for this study was to compare the differences in the methylome of three Russian wheat aphid populations that differ in virulence and bacterial load. Differences in the methylome of US Russian wheat aphid biotype 2 (US-RWA2) that have undergone removal of their phytobiomes through isolation of newly born nymphs from their mothers compared to nymphs who stayed in close proximity to their progenitors. US-RWA1 is the least virulent biotype and US-RWA2 is the most virulent biotype. The isolated US-RWA2 population (with a reduced bacterial load) has been shown to be less virulent than the co-fed population (Luna et al., 2018). The corresponding two methylomes were then compared to the methylome of US Russian wheat aphid biotype 1 (US-RWA1 is less virulent than US-RWA2) to ascertain the contribution (or lack thereof) of the phytobiome in regards to the increased/decreased virulence of phytobiome present and absent aphids. We investigated the overall, genic, intergenic, exonic and intronic methylation - as well as genic and intergenic hemimethylation -all three available contexts ( CpG, CHG and CHH) through use of the Bismark pipeline. These findings were used to ascertain to what effect the phytobiome (bacterial load) had on methylation within the US Russian wheat aphid biotypes.
2022-06-30 | GSE185975 | GEO
Project description:Phenotypic responses to biotic stresses are often studied as the interactions between two species; however, in the phytobiome, these responses frequently result from complex interactions involving several organisms. Here, we show that variation in chlorosis caused by Russian wheat aphid (Diuraphis noxia) feeding is determined, in part, by aphid-associated bacteria. Proteomic analysis of fluids injected into a sterile medium by the aphid during feeding indicate that 99% of the proteins are of bacterial origin. Of these, the greatest proportion are produced by bacteria in the order Enterobacteriales. Bacteria from five genera in four families that have the capacity to produce these proteins were isolated directly from aphids as well as from wheat leaves only after D. noxia feeding. By themselves or in combination, these bacteria were not virulent to wheat, even at high inoculum levels. Metagenomic analysis showed that the same five D. noxia-associated genera dominated the non-Buchnera component of the aphid microbiome, and that representation of these genera was reduced in aphids from colonies established after isolation of newborn nymphs from their mothers prior to feeding (‘isolated’ aphids). Isolation or treatment with antibiotics reduced bacterial numbers, and these aphids caused less feeding damage on wheat than non-isolated or non-antibiotic treated aphids. Our data show that bacterial proteins are a significant component of Russian wheat aphid saliva, that the bacteria producing these proteins are associated with aphids and plants fed upon by aphids, and that these aphid-associated bacteria facilitate aphid virulence to wheat.
2020-11-09 | PXD010663 | Pride
Project description:Mammalian genomes encode a family of 12 proteins that contain a CXXC zinc finger domain. These domains are known to bind to unmethylated DNA sequences rich in CpG dinucleotides. Most members of this family are large multi-domain proteins that function in the control of DNA methylation and histone methylation patterns. CXXC5 is a smaller member of the family, along with its closest homologue CXXC4. These two proteins lack known catalytic domains. Here we have characterized CXXC5 in mouse embryonic stem (ES) cells. We show that CXXC5 is a nuclear protein that interacts with 5-methylcytosine oxidases (TET proteins). Removal of CXXC5 from ES cells leads to very few changes in gene expression. CXXC5 extensively colocalizes with TET1 and TET2 at CpG islands. CXXC5 inactivation leads to a substantial reduction of DNA methylation levels that affects all genomic compartments including genic and intergenic regions and CpG island shores. No hypermethylation of CpG islands was observed. We propose a model in which CXXC5 serves as an anchor for TET proteins at CpG islands. In the absence of CXXC5, the 5-methylcytosine oxidases become dislodged from CpG islands and are enabled to induce genome-scale DNA demethylation. Thus, CXXC5 serves as a stabilizer of DNA methylation patterns.
2024-06-04 | GSE268884 | GEO
Project description:Mammalian genomes encode a family of 12 proteins that contain a CXXC zinc finger domain. These domains are known to bind to unmethylated DNA sequences rich in CpG dinucleotides. Most members of this family are large multi-domain proteins that function in the control of DNA methylation and histone methylation patterns. CXXC5 is a smaller member of the family, along with its closest homologue CXXC4. These two proteins lack known catalytic domains. Here we have characterized CXXC5 in mouse embryonic stem (ES) cells. We show that CXXC5 is a nuclear protein that interacts with 5-methylcytosine oxidases (TET proteins). Removal of CXXC5 from ES cells leads to very few changes in gene expression. CXXC5 extensively colocalizes with TET1 and TET2 at CpG islands. CXXC5 inactivation leads to a substantial reduction of DNA methylation levels that affects all genomic compartments including genic and intergenic regions and CpG island shores. No hypermethylation of CpG islands was observed. We propose a model in which CXXC5 serves as an anchor for TET proteins at CpG islands. In the absence of CXXC5, the 5-methylcytosine oxidases become dislodged from CpG islands and are enabled to induce genome-scale DNA demethylation. Thus, CXXC5 serves as a stabilizer of DNA methylation patterns.
2024-06-04 | GSE268886 | GEO
Project description:Mammalian genomes encode a family of 12 proteins that contain a CXXC zinc finger domain. These domains are known to bind to unmethylated DNA sequences rich in CpG dinucleotides. Most members of this family are large multi-domain proteins that function in the control of DNA methylation and histone methylation patterns. CXXC5 is a smaller member of the family, along with its closest homologue CXXC4. These two proteins lack known catalytic domains. Here we have characterized CXXC5 in mouse embryonic stem (ES) cells. We show that CXXC5 is a nuclear protein that interacts with 5-methylcytosine oxidases (TET proteins). Removal of CXXC5 from ES cells leads to very few changes in gene expression. CXXC5 extensively colocalizes with TET1 and TET2 at CpG islands. CXXC5 inactivation leads to a substantial reduction of DNA methylation levels that affects all genomic compartments including genic and intergenic regions and CpG island shores. No hypermethylation of CpG islands was observed. We propose a model in which CXXC5 serves as an anchor for TET proteins at CpG islands. In the absence of CXXC5, the 5-methylcytosine oxidases become dislodged from CpG islands and are enabled to induce genome-scale DNA demethylation. Thus, CXXC5 serves as a stabilizer of DNA methylation patterns.
2024-06-04 | GSE268885 | GEO
Project description:The wheat Nils expression profiles differ because of their response to aphid feeding (i.e., antibiosis - Dn1; tolerance - Dn2; antixenosis and antibiosis - Dn5) We used GeneChip Wheat Genome Array (Affymetrix, USA) analysis to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process.
2018-09-22 | GSE120267 | GEO
Project description:DNA methylation at a gene promoter region has the potential to regulate gene transcription. Their patterns are often complex with the region showing multiple allelic patterns in a sample. This complexity is commonly obscured when DNA methylation data is summarised as an average percentage value for each CpG site (or aggregated across CpG sites). The methylation state at adjacent CpG sites is therefore lost when data is summarised this way. Methylation patterns can only be characterised by clonal analysis. Deep sequencing provides the ability to investigate clonal DNA methylation patterns in unprecedented detail and scale, enabling the proper characterisation of the heterogeneity of methylation patterns. However, the sheer amount of sequencing data requires new synoptic approaches to visualise the distribution of allelic patterns. We have developed an analysis and visualisation software tool "Methpat", that extracts and displays clonal DNA methylation patterns from massively parallel sequencing data aligned using Bismark. We have performed multiplex bisulfite amplicon sequencing on a range of CpG island targets across a panel of human cell lines and primary tissues. Using Methpat, we demonstrate clonal diversity of epialleles analysed at specific gene promoter regions. We also describe the existence of DNA methylation within the mitochondrial genome. Multiplex bisulfite PCR and Next Generation sequencing of 35 samples
2015-11-23 | E-GEOD-67856 | biostudies-arrayexpress
Project description:<p><strong>INTRODUCTION:</strong> The aphid Rhopalosiphum padi L. is a vector of Barley yellow dwarf virus (BYDV) in wheat and other economically important cereal crops. Increased atmospheric CO2 has been shown to alter plant growth and metabolism, enhancing BYDV disease in wheat. However, the biochemical influences on aphid metabolism are not known.</p><p><strong>OBJECTIVES:</strong> This work aims to determine whether altered host-plant quality, influenced by virus infection and elevated CO2, impacts aphid weight and metabolism.</p><p><strong>METHODS:</strong> Untargeted 1H NMR metabolomics coupled with multivariate statistics were employed to profile the metabolism of R. padi reared on virus-infected and non-infected (sham-inoculated) wheat grown under ambient CO2 (aCO2, 400 µmol mol−1) and future, predicted elevated CO2 (eCO2, 650 µmol mol−1) concentrations. Un-colonised wheat was also profiled to observe changes to host-plant quality (i.e., amino acids and sugars).</p><p><strong>RESULTS:</strong> The direct impacts of virus or eCO2 were compared. Virus presence increased aphid weight under aCO2 but decreased weight under eCO2; whilst eCO2 increased non-viruliferous (sham) aphid weight but decreased viruliferous aphid weight. Discriminatory metabolites due to eCO2 were succinate and sucrose (in sham wheat), glucose, choline and betaine (in infected wheat), and threonine, lactate, alanine, GABA, glutamine, glutamate and asparagine (in aphids), irrespective of virus presence. Discriminatory metabolites due to virus presence were alanine, GABA, succinate and betaine (in wheat) and threonine and lactate (in aphids), irrespective of CO2 treatment.</p><p><strong>CONCLUSION:</strong> This study confirms that virus and eCO2 alter host-plant quality, and these differences are reflected by aphid weight and metabolism.</p>
2019-01-16 | MTBLS622 | MetaboLights
Project description:Whole genome bisulfite sequencing data of Russian wheat aphid biotypes SA1 and SAM
| PRJNA489432 | ENA
Project description:DNA methylation at a gene promoter region has the potential to regulate gene transcription. Their patterns are often complex with the region showing multiple allelic patterns in a sample. This complexity is commonly obscured when DNA methylation data is summarised as an average percentage value for each CpG site (or aggregated across CpG sites). The methylation state at adjacent CpG sites is therefore lost when data is summarised this way. Methylation patterns can only be characterised by clonal analysis. Deep sequencing provides the ability to investigate clonal DNA methylation patterns in unprecedented detail and scale, enabling the proper characterisation of the heterogeneity of methylation patterns. However, the sheer amount of sequencing data requires new synoptic approaches to visualise the distribution of allelic patterns. We have developed an analysis and visualisation software tool "Methpat", that extracts and displays clonal DNA methylation patterns from massively parallel sequencing data aligned using Bismark. We have performed multiplex bisulfite amplicon sequencing on a range of CpG island targets across a panel of human cell lines and primary tissues. Using Methpat, we demonstrate clonal diversity of epialleles analysed at specific gene promoter regions. We also describe the existence of DNA methylation within the mitochondrial genome.
2015-11-23 | GSE67856 | GEO