Glycine max
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA213009 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:RNA-seq of two soybean accessions under water deficit
2014-10-03 | E-MTAB-4352 | biostudies-arrayexpress
Project description:The purpose of this study is to compare transcriptome profiles of one fast wilting and two slow wilting genotypes under low- and high- vapor pressure deficit Experiments: Five differential expression analyses were performed. 1. Differences within the Hutchesen line for slow and fast wilting; 2. Differences within the PI471938 line for slow and fast wilting; 3. Differences within the PI416937 line for slow and fast wilting; Differences between Hutchesen, PI471938 and PI416937 (regardless of pheotype); 5. Comparison between all lines and all pheotypes Methods: RNASeq data was generated using the Illumina HiSeq. Data passing quality control was processed as follows: Alignment to reference genome Gmax_109 using Tophat2 followed by the Tuxedo pipeline (cufflinks, cuffmerge, cuffdiff).
2014-07-15 | GSE49097 | GEO
Project description:The purpose of this study is to compare transcriptome profiles of one fast wilting and two slow wilting genotypes under low- and high- vapor pressure deficit Experiments: Five differential expression analyses were performed. 1. Differences within the Hutchesen line for slow and fast wilting; 2. Differences within the PI471938 line for slow and fast wilting; 3. Differences within the PI416937 line for slow and fast wilting; Differences between Hutchesen, PI471938 and PI416937 (regardless of pheotype); 5. Comparison between all lines and all pheotypes Methods: RNASeq data was generated using the Illumina HiSeq. Data passing quality control was processed as follows: Alignment to reference genome Gmax_109 using Tophat2 followed by the Tuxedo pipeline (cufflinks, cuffmerge, cuffdiff). Three cultivars, (wild-type Hutchesen and two parentla lines - PI471938 and PI416937; two conditions (normal and slow-wilting); two reps each for a total of 12 samples
2014-07-15 | E-GEOD-49097 | biostudies-arrayexpress
Project description:Daytime soybean transcriptome fluctuations during water deficit stress
| PRJNA285677 | ENA
Project description:Transcriptomics Analyses of soybean leaves and roots sample during water-deficit
| PRJNA214193 | ENA
Project description:Whole genome-wide transcript profiling to identify differentially expressed genes associated with seed field emergence in two soybean low phytate mutants
| PRJNA325298 | ENA
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:Plants remember what they have experienced and are thereby able to confront repeated stresses more promptly and strongly. A subset of genes showed increased transcript levels under drought stress conditions, followed by a return to basal levels during recovery (watered) states, and then displayed elevated levels again under subsequent drought conditions. To screen for a set of drought stress memory genes in soybean (Glycine max L. cv. Daepoong), we designed a 180K DNA chip comprising 60-bp probes synthesized in situ to examine 55,588 loci. Through microarray analysis using the DNA chip, we identified 2,165 and 2,385 genes with more than 4-fold increases or decreases in transcript levels, respectively, under initial (first) drought stress conditions, when compared with the non-treated control. The transcript levels of the genes returned to basal levels during recovery (watered) states, then 677 and 987 genes displayed more than 16-fold elevated or reduced levels, respectively, under subsequent (second) drought conditions, when compared to the non-treated control. Gene Ontology analysis classified the drought stress memory genes into several functional categories, including those involved in trehalose biosynthesis and drought tolerance responses. We selected a number of drought stress memory genes encoding various transcription factors, protein phosphatase 2Cs, and late embryogenesis abundant proteins, and confirmed the microarray data by quantitative reverse-transcription real-time PCR. Upon repeated watering and subsequent (third) drought treatment, the elevated levels of the drought stress memory gene transcripts were propagated into newly developed second leaves, although at reduced levels when compared to the second drought treatment on the first leaves.
2020-07-13 | GSE153660 | 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
Project description:Two pancreatic cancer cell lines with different metastatic and growth potential were compared under hypoxic conditions and under normal atmospheric oxygen pressure. The FG cell lines shows very few metastases and slow growth in mouse xenograft models. L3.6pl, derived from FG by cycles re-implantation of metastatic cells obtained after orthotopic tumor growth in nude mice, shows high motility, aggressive growth and very high metastatic potential By comparison of the two cell lines under different oxygen concentration we tried to simulate in vivo conditions of tumors at different growth stages. Differentially expressed genes and transcription factor regulating coexpressed genes identified by SOTA clustering were used to identify key genes that define metastatic potential of pancreatic cancer cells Keywords: 2+2 factorial design 12 samples, two cell lines * two culture conditions(oxygen pressure) * three replicates
2010-09-30 | E-GEOD-9350 | biostudies-arrayexpress