Ontology highlight
ABSTRACT:
PROVIDER: PRJNA706710 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13859066_1.fastq.gz | Fastqsanger.gz | |||
| SRR13859066_2.fastq.gz | Fastqsanger.gz | |||
| SRR13859067_1.fastq.gz | Fastqsanger.gz | |||
| SRR13859067_2.fastq.gz | Fastqsanger.gz | |||
| SRR13859068_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 8 |
Similar Datasets
Project description:Background: Soybean cyst nematode (SCN, Heterodera glycines Ichinohe) is the most devastating pathogen of soybean. Many gene expression profiling studies have been conducted to investigate the responses of soybean to the infection by this pathogen using primarily the first-generation soybean genome array that covered approximately 37,500 soybean transcripts. However, no study has been reported yet using the second-generation Affymetrix soybean whole-genome transcript array (Soybean WT array) that represents approximately 66,000 predicted soybean transcripts. Results: In the present work, the gene expression profiles of two soybean plant introductions (PIs) PI 437654 and PI 567516C (both resistant to multiple SCN races) and cultivar (cv.) Magellan (susceptible to SCN) were compared in the presence or absence of the SCN inoculum at different time points (3 and 8 days post-inoculation). For this purpose, the Soybean WT array, which covers many more predicted soybean transcripts than the first-generation Affymetrix soybean array, was employed. Data analysis revealed that the two resistant soybean lines showed distinctive gene expression profiles from each other and from Magellan not only in response to the SCN inoculation, but also in the absence of SCN. Overall, 1,413 genes and many pathways, such as defense and hormonal pathways, were revealed to be differentially regulated. Among them, 297 genes were constitutively regulated in the two resistant lines (compared with cv. Magellan) and 1,146 genes were responsive to the SCN inoculation in the three lines, with 30 genes regulated both constitutively and by SCN. In addition to the findings similar to those in the published work, many genes involved in ethylene, protein degradation, and phenylpropanoid pathways were also revealed differentially regulated in the present study. GC-rich elements (e.g., GCATGC) were found over-represented in the promoter regions of certain groups of genes. These have not been observed before, and could be new defense-responsive regulatory elements. Conclusions: Different soybean lines showed different gene expression profiles in the presence and absence of the SCN inoculum. Both inducible and constitutive gene expression may contribute to resistance to multiple SCN HG Types in the resistant soybean PI lines. Ethylene, protein degradation, and phenylpropanoid pathways, as well as many other pathways reported previously, may play important roles in mediating the soybean-SCN interactions. The revealed genes, pathways, and promoter elements can be further explored to regulate or engineer soybean for resistance to SCN. Three soybean lines were compared in the study: Magellan (susceptible to SCN), PI 437654 (PI654; resistant to SCN), and PI 567516C (PI516C; resistant to SCN). Overall, thirty samples, including two biological replicates for each sample, were analyzed.
2015-03-04 | E-GEOD-64492 | biostudies-arrayexpress
Project description:Phytophthora root and stem rot caused by the oomycete pathogen Phytophthora sojae, is one of the most destructive diseases of soybean. Deploying soybean cultivars carrying race-specific resistance conferred by Rps genes is the most practicalapproach to managing this disease. Previously, two Rps genes, RpsUN1 and RpsUN2 conferring broad spectra of resistance to P. sojae isolates, were identified in a landrace PI 567139B and mapped to a 6.5-cM region on chromosome 3 and a 3.0-cM region on chromosome 16, corresponding to 840 kb and 600 kb of sequences, respectively,of the soybean reference genome. By analyzing ten and nine recombinants defined by genotypic and phenotypic screening of the 826 F2:3 families derived from two reciprocal crosses between the two parental lines of the mapping populations, RpsUN1 and RpsUN2 were further narrowed to a 151-kb region that harbors five genes including three NBS-LRR genes, and a 36-kb region that contains four genes including five NBS-LRR genes, respectively, according to the reference genome. Analysis of expressional changes of these nine genes before and after inoculation with the pathogen suggest that the counterparts of Glyma.03g034600 in the RpsUN1 region and the counterparts of Glyma.16g215200 and Glyma.16g214900 in the RpsUN2 region of PI 567139B may be associated with the resistance to P. sojae. It is also suggested that unequal recombination between different NBS-LRR genes in the mapped regions may have occurred, resulting in the formation of two recombinants with inconsistent genotypes and phenotypes detected by molecular markers within the fine-mapped regions. The haplotypes of genomic regions surrounding RpsUN1 and RpsUN2 in the entire soybean germplasm deposited in the US soybean germplasm collection were analyzed towards a better understanding of the origins of these two novel sources of resistance and screening of effective markers for marker-assisted selectionof these two resistance genes for soybean breeding.
2017-06-04 | GSE82240 | GEO
Project description:Crossbreeding has been an effective method to improve crossbred performance in pig industry. To have a global view of a classic three-way crossbreeding system of Duroc x (Landrace x Yorkshire) (DLY), we identified SNPs for each pig breed and crossbred individual originated from a DLY pig family to estimate the influence of purebreds on crossbred offspring using whole-genome sequencing. To confirm the accuracy of the SNPs identified by whole-genome sequencing, therefore, we performed the porcine 60K BeadChip genotyping array (Illumina) for each sequenced pig individual.
2018-12-05 | GSE123327 | GEO
Project description:Background: Soybean cyst nematode (SCN, Heterodera glycines Ichinohe) is the most devastating pathogen of soybean. Many gene expression profiling studies have been conducted to investigate the responses of soybean to the infection by this pathogen using primarily the first-generation soybean genome array that covered approximately 37,500 soybean transcripts. However, no study has been reported yet using the second-generation Affymetrix soybean whole-genome transcript array (Soybean WT array) that represents approximately 66,000 predicted soybean transcripts. Results: In the present work, the gene expression profiles of two soybean plant introductions (PIs) PI 437654 and PI 567516C (both resistant to multiple SCN races) and cultivar (cv.) Magellan (susceptible to SCN) were compared in the presence or absence of the SCN inoculum at different time points (3 and 8 days post-inoculation). For this purpose, the Soybean WT array, which covers many more predicted soybean transcripts than the first-generation Affymetrix soybean array, was employed. Data analysis revealed that the two resistant soybean lines showed distinctive gene expression profiles from each other and from Magellan not only in response to the SCN inoculation, but also in the absence of SCN. Overall, 1,413 genes and many pathways, such as defense and hormonal pathways, were revealed to be differentially regulated. Among them, 297 genes were constitutively regulated in the two resistant lines (compared with cv. Magellan) and 1,146 genes were responsive to the SCN inoculation in the three lines, with 30 genes regulated both constitutively and by SCN. In addition to the findings similar to those in the published work, many genes involved in ethylene, protein degradation, and phenylpropanoid pathways were also revealed differentially regulated in the present study. GC-rich elements (e.g., GCATGC) were found over-represented in the promoter regions of certain groups of genes. These have not been observed before, and could be new defense-responsive regulatory elements. Conclusions: Different soybean lines showed different gene expression profiles in the presence and absence of the SCN inoculum. Both inducible and constitutive gene expression may contribute to resistance to multiple SCN HG Types in the resistant soybean PI lines. Ethylene, protein degradation, and phenylpropanoid pathways, as well as many other pathways reported previously, may play important roles in mediating the soybean-SCN interactions. The revealed genes, pathways, and promoter elements can be further explored to regulate or engineer soybean for resistance to SCN.
2015-03-04 | GSE64492 | GEO
Project description:Phosphorus (P) deficiency is a major limitation for legume crop production. Although overall adaptations of plant roots to P deficiency have been extensively studied, fragmentary information is available in regards to root nodule responses to P deficiency. In this study, genome wide transcriptome analysis was conducted using RNA-seq analysis to investigate molecular mechanisms underlying soybean (Glycine max) nodule adaptation to phosphate (Pi) starvation. Phosphorus deficiency significantly decreased soybean nodule growth and nitrogenase activity. Nodule Pi concentrations declined by 49% in response to P deficiency, but this was well below the 87% and 88% decreases observed in shoots and roots, respectively. Nodule transcript profiling revealed that a total of 2,055 genes exhibited differential expression patterns between Pi sufficient and deficient conditions. A set of DEGs appeared to be involved in maintaining Pi homeostasis in soybean nodules, including 8 Pi transporters (PTs), 8 proteins containing the SYG1/PHO81/XPR1 domain (SPXs), and 16 purple acid phosphatases (PAPs). The results suggest that a complex transcriptional regulatory network participates in soybean nodule adaption to Pi starvation, most notable a Pi signaling pathway specifically involved in maintaining Pi homeostasis in nodules.
2018-11-20 | GSE116593 | GEO
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc