Soybean (Glycine max)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA350171 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Pod size varies among soybean cultivars, but the mechanism is largely unknown. We investigated pod size differences between two cultivars. The larger pod of ‘Tachinagaha’ was due to longer cell proliferation activity than in the shorter pod of ‘Iyodaizu’. Pod size of soybean 9 (GmPSS9), a member of the heat shock protein 70 family, was detected in a major QTL (qPSS on Chr. 2) as a candidate gene for determining pod length by QTL and expression QTL analysis. Expression of GmPSS9 in pods was higher in ‘Tachinagaha’ than in ‘Iyodaizu’ and was highest in early pod development. The difference in expression resulted from an indel polymorphism, Tachinagaha-specific-1, which has a 5′-UTR Py-rich stretch motif that boosts transcription. Treatment with an HSP70 inhibitor reduced plant height, pod length, and pod cell number. Our results identify GmPSS9 as a target gene for pod length which regulates cell number during early pod development.
2021-04-01 | GSE136772 | GEO
Project description:GmMPK4 silencing was performed in Glycine max (Williams 82) using virus-induced gene silencing (VIGS) mediated by Bean pod mottle virus (BPMV). Microarray analysis was performed to compare the transcriptional profile of GmMPK4-silenced plants vs vector control plants. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Jianzhong Liu. The equivalent experiment is GM25 at PLEXdb.]
2011-06-02 | GSE29653 | GEO
Project description:Tropospheric ozone (O3) is a secondary air pollutant and anthropogenic greenhouse gas. Concentrations of tropospheric O3 have more than doubled since the Industrial Revolution, and are high enough to damage plant productivity. Soybean (Glycine max L. Merr.) is the worldâs most important legume crop and is sensitive to O3. Current ground-level O3 are estimated to reduce global soybean yields by 6% to 16%. In order to understand transcriptional mechanisms of yield loss in soybean, we examined the transcriptome of soybean flower and pod tissues exposed to elevated O3 using RNA-Sequencing.
2015-01-31 | E-MTAB-5226 | biostudies-arrayexpress
Project description:GmMPK4 silencing was performed in Glycine max (Williams 82) using virus-induced gene silencing (VIGS) mediated by Bean pod mottle virus (BPMV). Microarray analysis was performed to compare the transcriptional profile of GmMPK4-silenced plants vs vector control plants. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Jianzhong Liu. The equivalent experiment is GM25 at PLEXdb.] genotype: Williams 82(4-replications) genotype: GmMPK4-silenced Williams 82(4-replications)
2011-06-01 | E-GEOD-29653 | biostudies-arrayexpress
Project description:RNA-seq was used to characterize gene expression in soybean from a wide range of tissues. The primary focus of the project was small RNAs, and the identification of microRNAs and phased siRNA-generating loci, but RNA-seq data were generated from the same samples. This project was supported by the United Soybean Board.
2020-05-09 | GSE150157 | GEO
Project description:Gene expression profiles in soybean seeds at 4 developmental stages, pod, bean 2 mm, bean 5 mm, and full-sized bean, were examined by DNA microarray analysis. Total genes of each samples were classified into 4 clusters according to developmental stages. Differentially expressed genes (DEGs) were extracted by comparing their expression in two adjacent stages, by using the rank product method. To characterize the gene expression during seed development, DEGs were sorted into 8 clusters by the hclust function, according to gene expression patterns. Keywords: time course
2011-01-05 | GSE26443 | GEO
Project description:Gene expression profiles in soybean seeds at 4 developmental stages, pod, bean 2 mm, bean 5 mm, and full-sized bean, were examined by DNA microarray analysis. Total genes of each samples were classified into 4 clusters according to developmental stages. Differentially expressed genes (DEGs) were extracted by comparing their expression in two adjacent stages, by using the rank product method. To characterize the gene expression during seed development, DEGs were sorted into 8 clusters by the hclust function, according to gene expression patterns. Keywords: time course Soybean seeds were selected at successive stages of early development for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain transitional changes in gene expression during seed develpment.
2011-01-05 | E-GEOD-26443 | biostudies-arrayexpress
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
Project description:Seed desiccation during maturation is important process for seed post-maturation behavior and harvest. However, the desiccation mechanism in soybean seed maturation is hardly known. In this study, water content in seed, pod and pedicel decreased faster than that in peduncle and stem. Therefore, we focus on the pedicel during seed maturation. By morphological analysis, the deposits in xylem vessels were confirmed in pedicel at 61 day after flowering (DAF), when there are not the deposits in peduncle. It was clarified by microarray analysis that lignin biosynthesis related genes expressed in pedicel at 61 DAF. Indeed, GmPAL, Gm4CL, GmC3H and GmCAD, which are lignin biosynthesis related genes, increased in pedicel during seed maturation. Furthermore, lignin content in pedicel also increased toward at 61 DAF and accumulated in the xylem vessels. These results suggested that lignin deposits into xylem vessels in pedicel cause the soybean seed desiccation during seed maturation.
2021-04-01 | GSE136771 | GEO
Project description:Pod dehiscence is an important agronomic trait. Pod dehiscence would cause huge yield losses before soybean maturity. Although some of soybean pod dehiscence associated genes have been identified, the underlying mechanism of pod dehiscence is still not comprehensively explained. In this study, we have identified differentially expressed genes (DEGs) between shattering-resistant and shattering-susceptible soybean accessions based on transcriptome analyses of 10 soybean accessions. Long non-coding RNAs (lncRNAs) that may be involved in soybean pod dehiscence were also identified, and we constructed co-expression networks between mRNAs and lncRNAs. RNA sequencing results were further verified by real-time PCR. Furthermore, DEGs were screened through analyzing positions of soybean pod dehiscence quantitative trait locus (QTLs) and phenotypes of soybean pod dehiscence for achieving pod-dehiscence candidate genes.
2019-07-22 | GSE130010 | GEO