Project description:Currently unpublished data suggested that the foliar application of the Bradyrhizobium japonicum Nod factor induced changes in hormone level and enzyme activity in soybean cv.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
Project description:Currently unpublished data suggested that the foliar application of the Bradyrhizobium japonicum Nod factor induced changes in hormone level and enzyme activity in soybean cv.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.
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.
Project description:Alterations in soybean gene expression profile after foliar application of lipo-chitooligosaccharide (LCO) from Bradyrhizobium japonicum under sub-optimal temperature
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.
Project description:Alkali stress is one of the most severe abiotic stresses affecting agricultural production worldwide. To understand the phosphorylation events in soybean in response to alkali stress, we performed the TMT labeling-based quantitative phosphoproteomic analyses on soybean leaf and root tissues under 50 mM NaHCO3 treatment.
Project description:Soybean (Glycine max, cv Williams82) leaf petiole explants exposed to 25 ul/l ethylene for 0 to 72 h. Explants were prepared from 21 day-old greenhouse grown plants. Leaf abscission zones (LAZ) consisted of 2 mm of tissue collected below the leaf blade. The petioles (NAZ) consisted of approximately 3 to 4 mm of petiole tissue with the AZ removed. Explants and tissue were collected in February, March and April of 2013. Tissue and RNA were collected at USDA, Beltsville, MD (Mark L Tucker, Joonyup Kim and Ronghui Yang). Library construction and sequencing was completed at Univ of Cornell, Itheca, NY using a Illumina HiSeq 2000 (James J Giovannoni and Zhangjun Fei).
Project description:Two soybean isolines that differed in leaf phenotype were profiled by high throughput RNA and small RNA (sRNA) sequencing. A Clark isoline abbreviated as CF and homozygous for a dominant mutant allele, Lf1, that specifies a five-foliate compound leaf was compared to wild type Clark, designated CS, which is homozygous for the standard allele that produces trifoliate leaves. Although Lf1 is dominant, it presents variable expressivity as the young plantlets with the Lf1Lf1 genotype initially have trifoliate leaves in the first few weeks, after which they transition to five-foliate leaves. This study provides insight into the initial understanding of leaf development in soybean by revealing a number of small RNAs differentially expressed between the CS and CF. Out of over 200,000 unique sequences, 913 showed similarities to 122 known miRNAs in soybean.
Project description:Molecular characterization of leaf development has not been well studied in soybean. Studies have shown that genomic regions controlling multifoliate leaf morphology in Glycine max also regulates important agronomic characters including yield, seed weight, seed number, shattering, plant growth, and flowering. Two soybean isolines that differed in leaf phenotype were profiled by high throughput RNA and small RNA (sRNA) sequencing. A Clark isoline, homozygous for a dominant mutant allele, Lf1, that specifies a five-foliate compound leaf was compared to wild type Clark that is homozygous for the standard allele that produces trifoliate leaves. Although Lf1 is dominant, it presents variable expressivity as the young plantlets with the Lf1Lf1 genotype initially have trifoliate leaves in the first few weeks, after which they transition to five-foliate leaves. At later developmental stages, they begin to produce four-foliate or trifoliate leaves. In RNA-Seq experiments, a total of 91 and 95 million reads were generated in each lane of Illumina sequencing for the shoot tip of wild type Clark standard (CS) and mutant Clark five-foliate (CF) libraries, respectively. Of these, ~70% million reads aligned to the 78,743 target Glyma models from the reference soybean genome (cv. Williams 82) with maximum of 3 mismatches and up to 25 alignments. Where as in vegetative bud, 56 (CS) to 59 (CF) million reads were produced and of these ~80% aligned to the soybean reference genome. The comparative studies of the transcript profiles of the wild-type versus mutant line revealed a number of differentially expressed genes. A total of 1,296 and 2,083 genes were up-regulated in the shoot tip of CS and CF, respectively that showed ≥2-fold expression difference. On the contrary in the vegetative bud, much smaller number of genes 14 (CS) and 94 (CF) showed increased transcript abundance. In sRNA analysis, a collection of 200,447 and 268,508 unique sRNA sequences isolated from shoot tip tissue of CS and CF were aligned to the soybean reference genome and their target glyma models were predicted using bioinformatics. This sRNA analysis at genome level reveals differences in size distribution of classes in the CS and CF. This study provides insight into the initial understanding of leaf development in soybean by revealing a number of genes and sRNAs differentially expressed between the CS and CF.