Project description:Two Near Isogenic soybean (Glycine max) lines were grown in hydroponic conditions with either 50uM ferric nitrate or 100uM ferric nitrate. After 10 days, half the plants were harvested (total root tissue). At 12 days after planting, iron was added to plants grown in low iron conditions bringing them up to sufficient iron growth conditions. Root tissue was harvested for the remaining plants at 14 days after planting. Gene expression analysis from root tissue of two Near Isogenic Lines (NILs), Clark (PI548553) and IsoClark (PI547430), grown in iron stress or iron stress recovered conditions.
Project description:Two Near Isogenic soybean (Glycine max) lines were grown in hydroponic conditions with either 50uM ferric nitrate or 100uM ferric nitrate. After 10 days, half the plants were harvested (total root tissue). At 12 days after planting, iron was added to plants grown in low iron conditions bringing them up to sufficient iron growth conditions. Root tissue was harvested for the remaining plants at 14 days after planting. Gene expression analysis from root tissue of two Near Isogenic Lines (NILs), Clark (PI548553) and IsoClark (PI547430), grown in iron stress or iron stress recovered conditions. A total of 24 samples from four growth conditions, three biological replicates per 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: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: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.
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.
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.