Dominant foliar endophytes in soybean
Ontology highlight
ABSTRACT:
ORGANISM(S): Glycine max
PROVIDER: GSE200235 | GEO | 2025/04/04
REPOSITORIES: GEO
Similar Datasets
Project description:Dominant foliar endophytes in soybean
| PRJNA823720 | ENA
Project description:Currently unpublished data suggested that the foliar application of the Bradyrhizobium japonicum Nod factor induced changes in hormone level and enzyme activity in soybean cv. OAC Bayfield. This study was designed to examine any possible differences in gene expression that occur as a result of the foliar treatment of Nod factor. The data herein are gene expression data of that experiment, from the sprayed, first trifoliolate leaf of each plant, 48 h after treatment. Keywords: stress response
2008-04-03 | GSE9730 | GEO
Project description:Lipo-chitooligosaccharides (LCOs) produced by N2-fixing rhizobacteria initiate host nodule formation. Foliar application of LCOs has been shown to induce stress-related genes under optimal growth conditions. To study the effects of LCO foliar spray under stressed conditions, soybean seedlings grown at optimal temperature were exposed to sub-optimal temperature. After a 5-day acclimation period, the first trifoliolate leaves were sprayed with 10-7 M LCO (NodBj-V (C18:1, MeFuc)) produced by Bradyrhizobium japonicum, and harvested at 0 and 48 h following treatment. Microarray analysis was performed using Affymetrix GeneChip® Soybean Genome Arrays. A total of 147 genes were differentially expressed 48 h after LCO treatment, including a number of stress-related genes and transcription factors. In addition, during the 48 h following treatment, hundreds of genes were differentially expressed in LCO-treated plants, indicating that the dynamic soybean foliar transcriptome was highly responsive to LCO treatment. The microarray data was supported by quantitative real-time PCR data.
2010-03-20 | GSE20972 | GEO
Project description:The transcript responses of both growing, trifoliate 6 and fully expanded, trifoliate 4 soybean leaves to elevated CO2 was investigated. We also compared the transcriptome of fully expanded vs. developing leaves in both ambient and elevated CO2. Keywords = soybean Keywords = elevated carbon dioxide Keywords = global change Keywords = leaf growth Keywords = plant Keywords: soybean leaf comparisons
2006-08-23 | GSE5573 | GEO
Project description:Lipo-chitooligosaccharides (LCOs) produced by N2-fixing rhizobacteria initiate host nodule formation. Foliar application of LCOs has been shown to induce stress-related genes under optimal growth conditions. To study the effects of LCO foliar spray under stressed conditions, soybean seedlings grown at optimal temperature were exposed to sub-optimal temperature. After a 5-day acclimation period, the first trifoliolate leaves were sprayed with 10-7 M LCO (NodBj-V (C18:1, MeFuc)) produced by Bradyrhizobium japonicum, and harvested at 0 and 48 h following treatment. Microarray analysis was performed using Affymetrix GeneChip® Soybean Genome Arrays. A total of 147 genes were differentially expressed 48 h after LCO treatment, including a number of stress-related genes and transcription factors. In addition, during the 48 h following treatment, hundreds of genes were differentially expressed in LCO-treated plants, indicating that the dynamic soybean foliar transcriptome was highly responsive to LCO treatment. The microarray data was supported by quantitative real-time PCR data. Soybean seedlings grown at optimal temperature (25 °C) were exposed to sub-optimal temperature (15 °C). After a 5-day acclimation period, the first trifoliolate leaves were sprayed with 10-7 M LCO (NodBj-V (C18:1, MeFuc)) produced by Bradyrhizobium japonicum, and harvested at 0 and 48 h following treatment. Total RNA was extracted and microarray analysis was performed using Affymetrix GeneChip® Soybean Genome Arrays.
2010-03-20 | E-GEOD-20972 | biostudies-arrayexpress
Project description:Currently unpublished data suggested that the foliar application of the Bradyrhizobium japonicum Nod factor induced changes in hormone level and enzyme activity in soybean cv. OAC Bayfield. This study was designed to examine any possible differences in gene expression that occur as a result of the foliar treatment of Nod factor. The data herein are gene expression data of that experiment, from the sprayed, first trifoliolate leaf of each plant, 48 h after treatment. Experiment Overall Design: This experimental design was a Completely Randomized Design (CRD), comparing 1 treatment (first trifoliolate leaf sprayed with 10^-7M LCO/Nod factor and 0.02% Tween 20) against a mock-treated control (first trifoliolate leaf sprayed with dH2O and 0.02% Tween 20). There are 3 replicates per treatment type, with a total of 6 samples for this experiment.
2008-06-16 | E-GEOD-9730 | biostudies-arrayexpress
Project description:Soybean is a rich source of protein and oil and a primary feedstock for biodiesel production. Previous research on soybean indicated that protein, oil and yield are controlled quantitatively in soybean seeds. However, genetic mechanisms controlling seed composition and yield in soybean remain unknown. We used Affymetrix Soybean GeneChips® to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean varieties, which differ in seed weight, yield, protein content and oil content. Some of the differentially expressed genes identified in this study may play important roles in controlling these traits.
2015-04-29 | GSE21598 | GEO
Project description:Seeds, including soybean (Glycine max), contain bioactive proteins with anti-nutritional and immunological properties that affect metabolism and assimilation of seed derived nutrients and as allergens that can induce escalating adverse immune responses. The presence of anti-nutritional proteins requires soybean protein to be processed by heat that results in energy costs and alteration of soybean protein’s physiochemical properties. Nulls for bioactive seed proteins have been isolated from the USDA soybean collection including Kunitz trypsin inhibitor (TI) and soybean agglutinin (LE) and immunodominant soybean allergen P34 proteins. Each of these nulls has the potential to partially address concerns of soybean feed/food consumption and stacked together these traits can form a basis for engineering improved soybean cultivars. A stack of cultivars of recessive nulls of TI, LE, and P34 was created in a cv Williams 82 background termed “Triple Null”. The reduction of these proteins slightly diminishes the overall protein content of the seed that was analyzed by 2D IEF/SDS gels and proteomics. P34 and Kunitz Trypsin Inhibitor nulls are frame shift mutants shown by mass spectroscopy to accumulate small amounts of authentic protein. Triple Null’s capacity for biolistic transformation was assessed showing that Triple Null can be transformed permitting stacking of transgene traits. Triple Null has possible application as a conventional feed/food source and for immunotherapy to mitigate soybean allergenic response and be leveraged as a transformation platform to stack other production or consumer traits.
2022-02-23 | PXD000967 | Pride
Project description:Soybean (Glycine max) is one of the most important economic crops. The protein and oil content traits in its seeds usually show a negative correlation, which is worthy of further study. Compared mature seeds of the high-protein soybean Tokachi long-leaf and high-oil soybean Zhonghuang 35, as well as the recombinant inbred lines of high-protein/low-oil populations and high-oil/ low-protein populations by proteomic analysis, it was found that there is a good repeatability and clear separation of proteomes with protein or oil content traits
2021-05-10 | PXD025909 |
Project description:Plants show an extraordinary diversity in chemical composition and are characterized by different functional traits. However, relationships between the foliar primary and specialized metabolism in terms of metabolite numbers and composition as well as links with the leaf economics spectrum have rarely been explored. We investigated these relationships in leaves of 20 woody species from the Mediterranean region grown as saplings in a common garden, using a comparative ecometabolomics approach that included (semi-)polar primary and specialized metabolites. Our analyses revealed significant positive correlations between both the numbers and relative composition of primary and specialized metabolites. The leaf metabolomes were highly species-specific but in addition showed some phylogenetic imprints. Moreover, metabolomes of deciduous species were distinct from those of evergreens. Significant relationships were found between the primary metabolome and nitrogen content and carbon/nitrogen ratio, important traits of the leaf economics spectrum, ranging from acquisitive (mostly deciduous) to conservative (evergreen) leaves. A comprehensive understanding of various leaf traits and their coordination in different plant species may facilitate our understanding of plant functioning in ecosystems. Chemodiversity is thereby an important component of biodiversity.
2021-05-24 | MTBLS2414 | MetaboLights