Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Quantitative Analysis of soybean seeds Transcriptomes

ABSTRACT: Next Generation Sequencing Quantitative Analysis of soybean seeds Transcriptomes

PROVIDER: PRJNA719094 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14128356_1.fastq.gz	Fastqsanger.gz
	SRR14128356_2.fastq.gz	Fastqsanger.gz
	SRR14128357_1.fastq.gz	Fastqsanger.gz
	SRR14128357_2.fastq.gz	Fastqsanger.gz
	SRR14128358_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

Next Generation Sequencing Quantitative Analysis of soybean seeds Transcriptomes

Project description:Next Generation Sequencing Quantitative Analysis of soybean seeds Transcriptomes

| PRJNA726519 | ENA

Next Generation Sequencing Quantitative Analysis of soybean seeds Transcriptomes

Project description:To investigate the regulatory mechanisms of GmZF392, GmZF351 and GmNFYA in oil accumulation, seeds at H3 stage of transgenic plants and JACK plants were collected for RNA extraction and sequencing. Before sequencing, qPCR showed that expression of GmZF392, GmZF351 and GmNFYA increased to about 10, 109 and 7 times respectively compared to JACK. Clean reads of RNA-sequencing were mapped to soybean genome and genes that had a 1.5 fold increase or 50% decrease, compared to JACK, were defined as differential expressed genes (DEGs).

2021-04-02 | GSE171304 | GEO

Next Generation Sequencing Quantitative Analysis of soybean seeds Transcriptomes

Project description:To investigate the regulatory mechanisms of GmNFYA in salt stress, leaves and roots of transgenic plants and JACK plants were collected for RNA extraction and sequencing. Clean reads of RNA-sequencing were mapped to soybean genome and genes that had a 2 fold increase or 50% decrease, compared to JACK, were defined as differential expressed genes (DEGs).

2021-05-01 | GSE173640 | GEO

Identification of Soybean WOX9-like binding sites in soybean seeds during seed development

Project description:To dissect the gene regulatory networks operating during soybean seed development, we identified the binding sites genome-wide for transcription factor in soybean seeds during seed development using ChIP-seq

2019-08-02 | GSE135267 | GEO

Identification of Soybean AGL62-like binding sites in soybean seeds during seed development

2019-08-02 | GSE135265 | GEO

Identification of soybean YAB1-like binding sites in soybean seeds during seed development

2019-08-02 | GSE135268 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of PSKγ1ox and control Transcriptomes

Project description:Phytosulfokine-α (PSK-α), a sulfated pentapeptide hormone with the sequence YIYTQ, plays important roles in many aspects of plant growth and development. In this study, we identified a pair of putative precursor genes in soybean, GmPSKγ1 and -2, encoding a PSK-like peptide: PSK-γ. Similar to PSK-α in amino acid composition, the sequence of PSK-γ is YVYTQ, and the tyrosines undergo sulfonylation. Treatment of Arabidopsis seedlings with synthetic sulfated PSK-γ significantly enhanced root elongation, indicating that PSK-γ might be a functional analog of PSK-α. Expression pattern analysis revealed that the two GmPSKγ genes, especially GmPSKγ1, are primarily expressed in developing soybean seeds. Heterologous expression of GmPSKγ1 under the control of a seed-specific promoter markedly increased seed size and weight in Arabidopsis, and this promoting effect of PSK-γ on seed growth was further confirmed in transgenic tobacco constitutively expressing GmPSKγ1. Cytological analysis of transgenic Arabidopsis seeds revealed that PSK-γ promotes seed growth by inducing embryo cell expansion. In addition, transcriptome analysis of GmPSKγ1-expressing Arabidopsis seeds suggested that PSK-γ signaling may regulate cell wall loosening to promote cell expansion. Overall, our results shed light on the mechanism by which PSK-γ promotes seed growth, paving the way for the use of this new peptide for biotechnological improvement of crop seed/grain size and yield.

2019-04-19 | GSE121567 | GEO

Circadian clock controlled gene expression in soybean seeds

Project description:Microarray expression profiling was used to identify genes expressed in developing soybean (Glycine max) seeds that are controlled by the circadian clock. Plants with developing seeds were entrained to 12hour light: 12 hour dark cycles and sampled in constant light conditions.

2010-06-21 | GSE18827 | GEO

Identification of differentially expressed genes between developing seeds of different soybean cultivars

Project description:Soybean is a rich source of protein and oil and a primary feedstock for biodiesel production. Previous research on soybean indicated that protein, oil and yield are controlled quantitatively in soybean seeds. However, genetic mechanisms controlling seed composition and yield in soybean remain unknown. We used Affymetrix Soybean GeneChips® to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean varieties, which differ in seed weight, yield, protein content and oil content. Some of the differentially expressed genes identified in this study may play important roles in controlling these traits.

2015-04-29 | GSE21598 | GEO

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 “green seed problem” 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.

2016-01-21 | GSE70999 | GEO

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