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Glycine max strain:multiple

ABSTRACT: A Scheme to Revitalize Agriculture and Fisheries in Disaster Area through Deploying Highly Advanced Technology

PROVIDER: PRJDB9454 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	DRR439621_1.fastq.gz	Fastqsanger.gz
	DRR439621_2.fastq.gz	Fastqsanger.gz
	DRR439624_1.fastq.gz	Fastqsanger.gz
	DRR439624_2.fastq.gz	Fastqsanger.gz
	DRR439737_1.fastq.gz	Fastqsanger.gz

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Comparative genomic hybridization analysis in glycine max fast neutron mutants

Project description:Soybean fast neutron mutant lines were maintained to an advanced generation (ranging between approximately M6 and M11) and compared to their wild-type parent (M92-220-Long) using CGH to identify sequence deletions and duplications in the mutant plants.

2018-08-16 | GSE118590 | GEO

Metabolomic Variability of Different Soybean Genotypes: β-Carotene-Enhanced (Glycine max), Wild (Glycine soja), and Hybrid (Glycine max × Glycine soja) Soybeans.

Project description:We obtained a new hybrid soybean (Hybrid) by hybridizing β-carotene-enhanced soybean (BCE; Glycine max L.) containing the phytoene synthase-2A-carotene desaturase gene and wild-type soybean (Wild; Glycine soja). To investigate metabolic changes between variants, we performed metabolic profiling of leaves (three growth stages) and seeds. Multivariate analyses revealed significant metabolic differences between genotypes in seeds and leaves, with seeds showing accumulation of phytosterols, tocopherols, and carotenoids (BCE only), indicating co-induction of the methylerythritol 4-phosphate and mevalonic acid pathways. Additionally, Hybrid produced intermediate levels of carotenoids and high levels of amino acids. Principal component analysis revealed metabolic discrimination between growth stages of soybean leaves and identified differences in leaf groups according to different genotypes at 8, 12, and 16 weeks, with Wild showing higher levels of environmental stress-related compounds relative to BCE and Hybrid leaves. The metabolic profiling approach could be a useful tool to identify metabolic links in various soybean cultivars.

| S-EPMC8535314 | biostudies-literature

Short trichome comparative genomic hybridization analysis in glycine max fast neutron mutants

Project description:One short trichome mutant (family known by multiple names, including R59C46, FN0175946, and FNMN0409) was identified in a soybean fast neutron population (known as VP02 in Bolon et al. 2011). An advanced line of this mutant was compared to its wild-type parent (M92-220-Long) using CGH to identify the causative region/gene associated with the short trichome phenotype.

2018-08-08 | GSE118251 | GEO

Epigenomics of Glycine max

Project description:Cytosine methylation is a base modification that is often used by genomes to store information that is stably inherited through mitotic cell divisions. Most cytosine DNA methylation is stable throughout different cell types or by exposure to different environmental conditions in plant genomes. Here, we profile the epigenomes of ~100 Glycine max lines to explore the extent of natural epigenomic variation. We also use these data to determine the extent to which DNA methylation variants are linked to genetic variations.

2018-05-07 | GSE114074 | GEO

Seed composition traits: comparative genomic hybridization analysis in glycine max fast neutron mutants

Project description:Ten mutants with altered seed composition traits were identified in a soybean fast neutron population (Bolon et al. 2014). These mutant lines were maintained to an advanced generation (ranging between M5 and M9) and compared to their wild-type parent (M92-220-Long) using CGH to identify the causative region/gene associated with the seed composition changes.

2018-08-16 | GSE118594 | GEO

High-sucrose/low-oil comparative genomic hybridization analysis in glycine max fast neutron mutants

Project description:Two high-sucrose/low-oil mutants (FN0176450/2012CM7F040P06/SRX826343 and FN0176450/2012CM7F040P05/SRX826351) were identified in a soybean fast neutron population (Bolon et al. 2014). These mutant lines were then advanced to the M3:7 generation and compared to thier wild-type parent (M92-220-Long) using CGH to identify the causative region/gene associated with high-sucrose/low-oil.

2017-01-14 | GSE93411 | GEO

Evaluation of Glycine max mRNA clusters.

Project description:BackgroundClustering the ESTs from a large dataset representing a single species is a convenient starting point for a number of investigations into gene discovery, genome evolution, expression patterns, and alternatively spliced transcripts. Several methods have been developed to accomplish this, the most widely available being UniGene, a public domain collection of gene-oriented clusters for over 45 different species created and maintained by NCBI. The goal is for each cluster to represent a unique gene, but currently it is not known how closely the overall results represent that reality. UniGene's build procedure begins with initial mRNA clusters before joining ESTs. UniGene's results for soybean indicate a significant amount of redundancy among some sequences reported to be unique mRNAs. To establish a valid non-redundant known gene set for Glycine max we applied our algorithm to the clustering of only mRNA sequences. The mRNA dataset was run through the algorithm using two different matching stringencies. The resulting cluster compositions were compared to each other and to UniGene. Clusters exhibiting differences among the three methods were analyzed by 1) nucleotide and amino acid alignment and 2) submitting authors conclusions to determine whether members of a single cluster represented the same gene or not.ResultsOf the 12 clusters that were examined closely most contained examples of sequences that did not belong in the same cluster. However, neither the two stringencies of PECT nor UniGene had a significantly greater record of accuracy in placing paralogs into separate clusters.ConclusionOur results reveal that, although each method produces some errors, using multiple stringencies for matching or a sequential hierarchical method of increasing stringencies can provide more reliable results and therefore allow greater confidence in the vast majority of clusters that contain only ESTs and no mRNA sequences.

| S-EPMC1637028 | biostudies-literature

Transcriptomic study of soybean (Glycine max) in response to zinc deficiency

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:Soil microbiomes in agriculture area

| PRJNA1152543 | ENA

Gene Expression Profiling of Glycine max Cotyledons and Trifoliate Leaves to Determine Genes Associated with Senescence

Project description:We use RNA sequencing technology in a time course study to measure transcript abundance from three developmental stages in cotyledons and five stages in the trifoliate leaf of Glycine max to identify genes with distinct temporal patterns of expression during leaf or cotyledon development. We also examine the diffrences between these two photosynthetic tissues.

2015-05-01 | GSE61857 | GEO

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