Glycine max
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA103787 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Expression data from soybean after soybean mosaic virus inoculation
| PRJNA354634 | ENA
Project description:Transcriptional response to soybean aphid infestation in susceptible and resistant soybean plants
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Project description:Virus Induced Gene Silencing (VIGS) was used to silence the expression of soybean Replication Protein 3 (GmRPA3). RNAseq was used to compare gene expression in GmRPA3 silenced and empty vector treated plants
2013-07-29 | E-MTAB-4354 | biostudies-arrayexpress
Project description:Mitogen-activated protein kinase kinase kinase (MAPKKK) assume a pivotal position within the MAPK cascade signaling pathway that converts external stimuli into intracellular responses, and plays a central role in adaptation and resistance to biotic and abiotic stress. Only a limited number of researches have reported that MAPKKK conducted on regulating the resistance to soybeans mosaic viruses (SMV). Here, we identified a MAPKKK 2-like gene named as GmMEKK2 from SMV resistance cultivar. Overexpression of GmMEKK2 in soybean not only reduced SMV content but also decreased the disease index of virus. Importantly, overexpression of GmMEKK2 mitigated the yield loss after SMV inoculation and improved the yield-related traits of soybean. These demonstrated that GmMEKK2 had a favorable role in SMV resistance. This study explored the functions of GmMEKK2 in soybean and provided an assertive solution for effectively improving SMV resistance.
2025-06-01 | GSE288208 | GEO
Project description:Transcript profiling of control vs Mungbean yellow mosaic India virus infected Glycine max variety JS335. RNA samples were collected at 2 dpi to study change in transcript profile at early infection.
2015-03-01 | GSE41052 | GEO
Project description:Transcriptional changes in soybean plants infected with Soybean mosaic virus (SMV) was assessed at 7, 14 and 21 days post inoculation (dpi). Keywords: Time course
2008-03-17 | GSE9824 | GEO
Project description:Transcript profiling of control vs Mungbean yellow mosaic India virus infected Glycine max variety JS335. RNA samples were collected at 2 dpi to study change in transcript profile at early infection. Two-condition experiment, control vs. MYMIV infected.
2015-03-01 | E-GEOD-41052 | biostudies-arrayexpress
Project description:Deep Sequencing Leads to the Identification of Eukaryotic Translation Initiation Factor 5A as a Key Element in Rsv1-Mediated Lethal Systemic Hypersensitive Response to Soybean Mosaic Virus Infection in Soybean
| PRJNA311571 | ENA
Project description:Background: Pollen, the male partner in the reproduction of flowering plants, comprises either two or three cells at maturity. The current knowledge of the pollen transcriptome is limited to the model plant Arabidopsis thaliana, which has tri-cellular pollen grains at maturity. Comparative studies on pollen of other genera, particularly crop plants, are needed to understand the pollen gene networks that are subject to functional and evolutionary conservation. In this study, we used the Affymetrix Soybean GeneChip® to perform transcriptional profiling on mature bi-cellular soybean pollen. Results: Compared to the sporophyte transcriptome, the soybean pollen transcriptome revealed a restricted and unique repertoire of genes, with a significantly greater proportion of specifically expressed genes than is found in the sporophyte tissue. Comparative analysis shows that, among the 37,500 soybean unique transcripts addressed in this study, 10,299 genes (27.46%) are expressed in pollen. Of the pollen-expressed genes, about 9,489 (92.13%) are also expressed in sporophytic tissues, and 810 (7.87%) are selectively expressed in pollen. Overall, the soybean pollen transcriptome shows an enrichment of transcription factors (mostly zinc finger family proteins), cell cycle-related transcripts, signal recognition receptors, ethylene responsive factors, chromatin remodeling factors, and members of the ubiquitin proteasome proteolytic pathway. Moreover, we identify several new pollen-specific candidate genes that might play a significant role in pollen biology. Conclusion: This is the first report of a soybean pollen transcriptional profile. These data extend our current knowledge regarding regulatory pathways that govern the gene regulation and development of pollen. We also demonstrate that pollen is a rich store of regulatory proteins that are essential and sufficient for de novo gene expression. A comparison between transcription factors up-regulated in soybean and those upregulated in Arabidopsis revealed some divergence in the numbers and kinds of regulatory proteins expressed in both species.
2009-03-26 | GSE12286 | GEO