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43 results for “Soybean plant”
Fig. 9 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 9. Expression analysis of target genes performed by qRT-PCR involved in plant bacterial interactions from BiP-overexpressing (C9) and wild-type (WT) soybean plants infected (I) or noninfected (NI) with P. syringae pv. tomato. The expression levels were obtained using the 2-ΔCT method. Bars (mean SE; ± n = 4) with the same capital letters indicate no significant difference between control and inoculated treatments and those followed by the same lowercase letters indicate no significant difference among genotypes within the same treatment (Student's test: P <0.05).
Fig. 8 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 8. Relative abundance of the flavonoid derivatives from BiP-overexpressing (C9) and wild-type (WT) soybean plants infected (I) or noninfected (NI) with P. syringae pv. tomato. Bars (mean ± SE; n = 4) with the same capital letters indicate no significant difference between control and inoculated treatments and those followed by the same lowercase letters indicate no significant difference among genotypes within the same treatment (Student's test: P <0.05).
Fig. 4 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 4. Absolute concentrations of phytohormones (A) and of flavonoid aglycones (B) by UHPLC/MS QqQ. The data represent the mean ± standard error. Bars (mean ± SE; n = 4) with the same capital letters indicate no significant difference between control and inoculated treatments and those followed by the same lowercase letters indicate no significant difference among genotypes within the same treatment (Student's test: P <0.05).
Fig. 3 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 3. Clustering analysis by Heat Map method of the characterized metabolites by GC/MS in soybean leaves from the WT and C9 genotypes, infected (I) or noninfected (NI) by P. syringae pv. tomato 36 h after inoculation. Differences in the abundance of the metabolites are indicate in response to treatments.
Fig. 6 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 6. Clustering analysis by Heat Map method of the characterized flavonoids by LC QqQ in soybean leaves from the WT and C9 genotypes, infected (I) or noninfected (NI) by P. syringae pv. tomato 36 h after inoculation. This shows the differences in the abundance of the flavonoids analyzed by LC-MS in response to bacterial infection. Differences in the abundances of the detected flavonoids are indicate in response to treatments. Green color represents a decrease, and red color an increase.
Fig. 7 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 7. Schematic overview of flavonoid biosynthesis pathway reconstructed using the characterized compounds from soybean leaves. Each colored square box is indicative of the abundance levels of the metabolites involved in the flavonoid biosynthesis and identified for each WT and C9 genotypes, infected (I) or noninfected (NI) by P. syringae pv. tomato. The main flavonoids of pathway are sketched by continuous line while compounds not detected, but intermediate of the pathway, are sketched by dashed line. Compounds marked by blue asterisk were more abundant in the inoculated C9 genotype while compounds marked by red asterisk were more abundant in the inoculated WT genotype.
Fig. 2 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 2. Analysis of the metabolic profiles of the C9 and WT genotypes in soybean leaves from the WT and C9 genotypes infected (I) or noninfected (NI) by P. syringae pv tomato 36 h after inoculation. In (A) 2D Scores Plot generated by Partial Least Squares Discriminant Analysis (PLS-DA) of all the metabolites. Points represent analyzed replicates, whereas ellipses indicate 95% confidence region. In (B) Major metabolites responsible for discrimination between inoculated and mock inoculated soybean groups identified by VIP score. Green color represents a decrease, and red color an increase.
Data from: Combined effects of mutualistic rhizobacteria counteract virus-induced suppression of indirect plant defenses in soybean
It is increasingly clear that microbial plant symbionts can influence interactions between their plant hosts and other organisms. Yet, such effects remain poorly understood, particularly under ecologically realistic conditions where plants simultaneously interact with diverse mutualists and antagonists. Here we examine how the effects of a plant virus on indirect plant defenses against its insect vector are influenced by co-occurrence of other microbial plant symbionts. Using a multi-factorial design, we manipulated colonization of soybean using three different microbes: a pathogenic plant virus (Bean pod mottle virus [BPMV]), a nodule-forming beneficial rhizobacterium (Bradyrhizobium japonicum), and a plant growth-promoting rhizobacterium (PGPR) (Delftia acidovorans). We then assessed recruitment of parasitoids (Pediobious foveolatus [Eulophidae]) and parasitism rates following feeding by the BPMV vector Epilachna varivestis (Coccinellidae). BPMV infection suppressed parasitoid recruitment, prolonged parasitoid foraging time, and reduced parasitism rates in semi-natural foraging assays. However, simultaneous colonization of BPMV-infected hosts by both rhizobacteria restored parasitoid recruitment and rates of parasitism to levels similar to uninfected controls. Co-colonization by the two rhizobacteria also enhanced parasitoid recruitment in the absence of BPMV infection. These results illustrate the potential of plant-associated microbes to influence indirect plant defenses, with implications for disease transmission and herbivory, but also highlight the potential complexity of such interactions.
Data from: Combined effects of mutualistic rhizobacteria counteract virus-induced suppression of indirect plant defenses in soybean
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Transcriptional response of soybean plants to soybean mosaic virus infection
GEO Series GSE9824. Glycine max. 3 samples. Type: Expression profiling by array.
Quantitative RNA pseudouridine maps reveal multi-layered translation control through plant rRNA, tRNA and mRNA pseudouridylation (soybean)
GEO Series GSE262373. Glycine max. 5 samples. Type: Expression profiling by high throughput sequencing; Other.
Melatonin enhances plant growth and abiotic stress tolerance in soybean plants
GEO Series GSE57960. Glycine max. 4 samples. Type: Expression profiling by high throughput sequencing.
Data from: An individual-based model of seed and rhizome propagated perennial plant species and sustainable management of Sorghum halepense in soybean production systems in Argentina
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Transcriptional response to soybean aphid infestation in susceptible and resistant soybean plants
GEO Series GSE35427. Glycine max. 24 samples. Type: Expression profiling by array.
Fig. 1 in BiP-overexpressing soybean plants display accelerated hypersensitivity response (HR) affecting the SA-dependent sphingolipid and flavonoid pathways
Fig. 1. Symptoms of the soybean leaves from the transgenic overexpressing BiP (C9) and untransformed (WT) genotypes submitted to inoculation by P. syringae pv. tomato. In (A) Leaves from plants after 8 and 36 hai (hour after inoculation) and in (B) after 15 and 30 dai (day after inoculation).
An embryo lethal transgenic line manifests global expression changes and elevated protein/oil ratios in heterozygous soybean plants
GEO Series GSE130483. Glycine max. 26 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional response to long-term soybean aphid infestation in susceptible and resistant soybean plants
GEO Series GSE115790. Glycine max. 12 samples. Type: Expression profiling by array.
Combined phenotypic and transcriptomic analysis of soybean plants subjected to multifactorial stress combination
GEO Series GSE237798. Glycine max. 108 samples. Type: Expression profiling by high throughput sequencing.
Plant-derived soybean peroxidase stimulates osteoblast collagen biosynthesis and matrix mineralization
GEO Series GSE168303. Homo sapiens. 6 samples. Type: Expression profiling by array.
Combination of drought and heat in soybean plants
GEO Series GSE153951. Glycine max. 12 samples. Type: Expression profiling by high throughput sequencing.
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