Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

32 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from salinity treated and control soybean

ABSTRACT: Soybean's productivity is significantly compromised by soil salinity, but, like most plants, it has evolved a variety of mechanisms to aid its survival under environmental stress. The expression of many plant genes is altered by salinity stress. We used microarrays to detail the global programme of gene expression and identified distinct up or down-regulated genes between salinity stressed and non stressed soybean Seedlings of the soybean cultivar Williams 82 were grown in vermiculite under a 16h photoperiod at 25 ÂºC for 14 days. RNA were isolated from the mock (M0, M1, M3, M6, M12, M24) and salinity treated (S0, S1, S3, S6, S12, S24) seedlings. 0.5 Âµg RNA that extracted from each time point of the mock and salinity-stressed seedlings were mixed respectively to obtain the mock and salinity-stressed RNA pools, and then they were used to synthesize the cDNA. The cDNA was labeled with biotin, and then hybridized to an Affymetrix soybean Genome Array.

ORGANISM(S): Glycine max

SUBMITTER: Yuguang Song

PROVIDER: E-GEOD-41125 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Gene expression profiles in black soybean sprouts: 0.5 cm long vs 5 cm long

Project description:To explore the mechanism underlying antioxidant activity of extracts from black soybean sprouts 0.5 cm long, Agilent-016772 G. max (Soybean) Oligo Microarray 4x44K was used to compare mRNA expression between the black soybean sprouts 0.5 cm long (n=4) and the black soybean sprouts 5 cm long (n=4). GO term enrichment analysis showed ten up-regulated genes (BE823689.1_567, GMFL01-02-F14-R_381, GMFL01-03-G22-R_364, GMFL01-14-M12-R_553, GMFL01-51-M23-R_265, AW757007.1_297, AW761420.1_260, BI788389.1_501, BQ273202.1_332 and GMFL01-10-I14-F_701) in the 0.5 cm seedlings were associated with response to oxidative stress. qRT-PCR assay confirmed the up-regulation of these ten genes in sprouts 0.5 cm long. In conclusion, these ten genes may contribute to antioxidant activity of sprout extract. Gene expressions in black soybean sprouts were measured using Agilent-016772 G. max (Soybean) Oligo Microarray 4x44K. Four independent experiments were performed in each group using different sprout sample.

2012-08-09 | E-GEOD-40002 | biostudies-arrayexpress

Expression data from maturing soybean seeds

Project description:Environmental stresses such as drought, salinity and both high and low temperature are frequently faced by crops all over the world and can be considered major limiting factors for plant geographical distribution and productivity. Breeding has allowed creation of crops more adapted to some of the adverse environmental conditions and to overcome the geographical limitation without major consequences to productivity. However, due to the climate changes observed in the last few decades, some agricultural areas have experienced the âgreen seed problemâ characterized by chlorophyll retention in mature seeds. This is problematic in oil seed crops such as soybean and canola since it is related to lower seed and oil quality, resulting in serious financial losses. Besides the environmental factors, there are also genetic components controlling the susceptibility of different cultivars to green seed production. Understanding the molecular mechanisms controlling chlorophyll retention in seeds is crucial to allow advanced molecular breeding techniques and genetic engineering as a way to increase tolerance to this growing problem. We have used maturing soybean seeds of the cultivar MG/BR 46, harvested in R6, R7 and R8, produced under non-stressed and stressed environmental conditions, to understand he molecular basis of chlorophyll degradation and, consequently, its retention during soybean seed maturation. Soybean seeds were produced under stressed and non-stressed conditions and harvested in 3 different stages of maturation: R6 non-stressed, R7 non-stressed, R8 non-stressed, R6 stressed, R7 stressed, R8 stressed.

2016-01-21 | E-GEOD-70999 | biostudies-arrayexpress

Expression data from salinity treated and control soybean

Project description:Soybean's productivity is significantly compromised by soil salinity, but, like most plants, it has evolved a variety of mechanisms to aid its survival under environmental stress. The expression of many plant genes is altered by salinity stress. We used microarrays to detail the global programme of gene expression and identified distinct up or down-regulated genes between salinity stressed and non stressed soybean

2012-09-25 | GSE41125 | GEO

Transgenic and conventional cultivar comparison in response to salt stress

Project description:Soybean is one of the main sources of oil worldwide. Salinity severely affect its yield. GmSIN1 is a NAC transcription factor coding gene. Its overexpression (OE) transgenic lines greatly improved the yield in both common and saline fields. This study focuses on founding changes genes between GmSIN1 OE transgenic seedlings and control seedlings under salt stress or non-salt stress conditions. Illumina Solexa sequencing platform was used for the comparative analysis of transcriptome profiles in the roots and leaves of GmSIN1 OE transgenic seedlings and WEI6823 (control) seedlings under mock or 150 mM NaCl treatment for 6 hrs.

2019-08-01 | GSE93322 | GEO

Shotgun proteomic analysis of embryonic axis of soybean seeds during germination under salt stress

Project description:Salinity is one of the main environmental stresses worldwide limiting soybean growth and yield. Seed imbibition and radical emergence are generally less affected by salinity in soybean. Towards unraveling the mechanisms underlying salt tolerance in soybean at germination stage, a comprehensive quantitative proteomic analysis of proteins from soybean embryonic axis during germination sensu stricto (GSS) under saline conditions was performed. Application of 100 and 200 mmol L-1 NaCl at GSS was significantly accompanied by the change in abundance (>2-fold) of 97 and 75 proteins, respectively. Most of these proteins were involved in three major functions, namely stress response and defense, protein turnover and protection and primary metabolism. Our results pave the way towards the identification of suitable biomarkers useful for improving salt tolerance in soybean.

2015-04-07 | PXD001943 | Pride

Soybean leaf proteomic profile influenced by rhizobacteria under optimal and salt stress conditions

Project description:Soil salinity is a major abiotic stressor inhibiting plant growth and development by affecting a range of physiological processes. Plant growth promoting rhizobacteria (PGPR) are considered a sustainable option for alleviation of stress and enhancement of plant growth, yet their mode of action is complex and largely unexplored. In this study, an untargeted proteomic approach provided insights into growth and stress response mechanisms elicited in soybean plants by Rhizobium sp. SL42 and Hydrogenophaga sp. SL48. The plants were grown under optimal and salt-stressed conditions up to their mid-vegetative stage; shoot growth variables were increased in the bacteria-treated plants. Shotgun proteomics of soybean leaf tissue revealed that a number of proteins related to plant growth and stress tolerance were modulated in the bacterial inoculation treatments. Several key proteins involved in major metabolic pathways of photosynthesis, respiration and photorespiration were upregulated. These include photosystem I psaK, Rubisco subunits, glyceraldehyde-3-phosphate dehydrogenase, succinate dehydrogenase and glycine decarboxylase. Similarly, stress response proteins such as catalase and glutathione S-transferase (antioxidants), proline-rich precursor protein (osmolyte), and NADP-dependent malic enzyme (linked to ABA signaling) were increased under salt stress. The functions of proteins related to plant growth and stress adaptation led to an expanded understanding of plant-microbe interactions. These findings suggest that the PGPR strains regulated proteome expression in soybean leaves through multiple signaling pathways, thereby inducing salinity tolerance and improving plant growth in the presence of this abiotic stress challenge. They play a crucial role in the development of soybean plants under stressful conditions and therefore could potentially be utilized as biostimulants to mitigate stress effects and boost crop productivity.

2022-05-20 | PXD025596 | Pride

Soybean Flooding

Project description:Transcriptional profiling of roots and hypocotyls of soybean comparing control untreated 2-d-old seedlings with flooding treated 2-d-old seedlings.

2011-09-02 | E-MEXP-2967 | biostudies-arrayexpress

Soybean root hair cell response to Bradyrhizobium japonicum inoculation

Project description:Soybean root hair transcriptional response to their inoculation by the symbiotic bacteria B. japonicum involved in soybean nodulation. We used the first generation of an Affymetrix microarray to quantify the abundance of the transcripts from soybean root hair cells inoculated and mock-inoculated by B. japonicum. This experiment was performed on a time-course from 6 to 48 hours after inoculation. Soybean seeds were sowed on sterile agar medium and grown for 3 days in a growth chamber before being treated with H2O (mock-inoculated) or B. japonicum (inoculated). Soybean root hair cells were isolated at different time points (6hr, 12hr, 18hr, 24hr, 36hr, 48hr) after treatment. For each time point and condition, 3 or 4 independent biological replicates were produced.

2010-09-16 | E-GEOD-24145 | biostudies-arrayexpress

Transcription profiling of P.sojae and soybean cultivars varying in quantitative resistance during infection with P.sojae

Project description:Identify plant and pathogen genes differentially expressed during P. sojae infection of soybean cultivars differing in quantitative resistance, by using Affymetrix Soybean Genome Array analysis. Experiment Overall Design: RNA samples from mock-inoculated soybean tissue contain 2%-16% spike-in RNA from Phytophthora sojae mycelium grown in liquid sucrose-salts medium. Experiment Overall Design: 4 Experimental Replicates x 8 cultivars x 2 Treatments (inoculated or mock) x 2 Timepoints (72hr or 120hr) = 128 samples in total

2008-06-15 | E-GEOD-7124 | biostudies-arrayexpress

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 GeneChipÂ® 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 Â°C) were exposed to sub-optimal temperature (15 Â°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 GeneChipÂ® Soybean Genome Arrays.

2010-03-20 | E-GEOD-20972 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data