Glycine max
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA369113 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5210850_1.fastq.gz | Fastqsanger.gz | |||
| SRR5210850_2.fastq.gz | Fastqsanger.gz | |||
| SRR5210860_1.fastq.gz | Fastqsanger.gz | |||
| SRR5210860_2.fastq.gz | Fastqsanger.gz | |||
| SRR5210870_1.fastq.gz | Fastqsanger.gz |
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Project description:Intercropping is a sustainable agricultural practice widely used around the world for enhancing resource use efficiency. However, short crops often grow in shade condition underneath the canopy of tall crops. Soybean is one of the most important oil crops and usually is planted in intercropping patterns. However, little is known about the acclimation responses of soybean leaves to shade in intercropping condition at the transcriptome level.
2013-07-11 | E-MTAB-4279 | biostudies-arrayexpress
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.
2024-12-16 | GSE41199 | 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:Circadian clock controlled gene expression in soybean seeds
| PRJNA121159 | ENA
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: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.
2024-12-16 | GSE41200 | GEO
Project description:We conducted a genome-wide transcriptomic analysis in soybean leaves and roots treated with zinc (Zn) deficiency using RNA sequencing (RNA-seq) technology. Two biological replicates of RNA-seq were included for Zn-sufficient leaves (ZSL), Zn-deficient leaves (ZDL), Zn-sufficient roots (ZSR), and Zn-deficient roots (ZDR). Therefore a total of eight libraries were constructed. Using a 2-fold change and a P-value ≤0.05 as the cut-off for selecting the differentially expressed transcripts, we globally identified Zn-deficiency responsive genes. At least 20 genes that are potentially involved Zn homeostasis were significantly changed by Zn deficiency, including 7 ZIP (ZRT, IRT-related protein) transporter genes, 3 nicotianamine synthase genes, and 7 metallothionein genes. At least 48 genes encoding likely Zn-binding proteins were found to be responsive to Zn deficiency in leaves or roots. Eighty-five transcription factor genes were significantly changed by Zn deficiency in leaves or roots, including 5 bZIP members and 10 Golden 2-like members. In addition, some other groups of genes which are possibly related to reactive oxygen species scavenging, calcium and hormone signaling, and protein phosphorylation and dephosphorylation also differentially expressed under Zn deficiency.
2019-03-30 | GSE111799 | GEO
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:Chilling stress is a major factor limiting the yield and quality of vegetable soybean (Glycine max L.) on a global scale. Systematic identification and function analysis of miRNA under chilling stress could be helpful to clarify the molecular mechanism of chilling resistance. In the present study, two independent small RNA libraries from leaves of vegetable soybean were constructed, and sequenced with the high-throughput Illumina Solexa system. A total of 434 known miRNAs and three novel miRNAs were identified. Moreover, the expression patterns of these miRNAs have been verified by qRT-PCR analysis. Furthermore, we identified their gene targets by high-throughput degradome sequencing and validated using 5'-RACE. A total of 898 transcripts were targeted by 54 miRNA families attributed to five categories. More importantly, we identified 55 miRNAs that differentially expressed between chilling stress and the control. The targets of these miRNAs were enriched in oxidation-reduction, signal transduction, and metabolic process functional categories. The qRT-PCR confirmed that there was a negative relationship among the miRNAs and their targets under chilling stress. Our work provides comprehensive molecular evidence for the possible involvement of miRNAs in the process of chilling-stress responses in vegetable soybean.
2016-12-28 | GSE76435 | GEO