Browse
Submit Data
Databases
API
Help

Dataset Information

18 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Cloning and Functional Identification of Phosphoethanolamine Methyltransferase in Soybean (Glycine max).

ABSTRACT: Phosphoethanolamine methyltransferase (PEAMT), a kind of S-adenosylmethionine-dependent methyltransferases, plays an essential role in many biological processes of plants, such as cell metabolism, stress response, and signal transduction. It is the key rate-limiting enzyme that catalyzes the three-step methylation of ethanolamine-phosphate (P-EA) to phosphocholine (P-Cho). To understand the unique function of PEAMT in soybean (Glycine max) lipid synthesis, we cloned two phosphoethanolamine methyltransferase genes GmPEAMT1 and GmPEAMT2, and performed functional identification. Both GmPEAMT1 and GmPEAMT2 contain two methyltransferase domains. GmPEAMT1 has the closest relationship with MtPEAMT2, and GmPEAMT2 has the closest relationship with CcPEAMT. GmPEAMT1 and GmPEAMT2 are located in the nucleus and endoplasmic reticulum. There are many light response elements and plant hormone response elements in the promoters of GmPEAMT1 and GmPEAMT2, indicating that they may be involved in plant stress response. The yeast cho2 opi3 mutant, co-expressing Arabidopsis thaliana phospholipid methyltransferase (PLMT) and GmPEAMT1 or GmPEAMT2, can restore normal growth, indicating that GmPEAMTs can catalyze the methylation of phosphoethanolamine to phosphate monomethylethanolamine. The heterologous expression of GmPEAMT1 and GmPEAMT2 can partially restore the short root phenotype of the Arabidopsis thaliana peamt1 mutant, suggesting GmPEAMTs have similar but different functions to AtPEAMT1.

SUBMITTER: Ji X

PROVIDER: S-EPMC8353235 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Molecular cloning and functional characterization of GmAAPTs from soybean (Glycine max).

Project description:Aminoalcoholphosphotransferase (AAPT) utilizes diacylglycerols and cytidine diphosphate-choline/ethanolamine as substrates for the synthesis of phosphatidylcholine (PC)/phosphatidylethanolamine (PE). Plant AAPTs involved in phospholipid metabolism mediate diverse physiological processes; however, little is known about their functions in triacylglycerol (TAG) metabolism and seed germination. In the present study, we isolated and characterized two AAPTs, GmAAPT1 and GmAAPT2, from soybean (Glycine max). GmAAPT1 and GmAAPT2 exhibited strong similarity in their amino acid contents and expression patterns, and both were found to localize to the endoplasmic reticulum and Golgi apparatus. In vitro enzymatic analyses showed that GmAAPT1 and GmAAPT2 contributed to PC and PE synthesis and exhibited choline/ethanolamine phosphotransferase-like enzymatic properties. The overexpression of GmAAPT1 and GmAAPT2 in Arabidopsis led to reduced levels of seed TAG and polyunsaturated fatty acids and decreased seed germination under freezing stress. Together, these findings suggest that GmAAPTs mediate TAG metabolism and negatively regulate seed freezing tolerance.

| S-EPMC7781836 | biostudies-literature

SoyNet: a database of co-functional networks for soybean Glycine max.

Project description:Soybean (Glycine max) is a legume crop with substantial economic value, providing a source of oil and protein for humans and livestock. More than 50% of edible oils consumed globally are derived from this crop. Soybean plants are also important for soil fertility, as they fix atmospheric nitrogen by symbiosis with microorganisms. The latest soybean genome annotation (version 2.0) lists 56 044 coding genes, yet their functional contributions to crop traits remain mostly unknown. Co-functional networks have proven useful for identifying genes that are involved in a particular pathway or phenotype with various network algorithms. Here, we present SoyNet (available at www.inetbio.org/soynet), a database of co-functional networks for G. max and a companion web server for network-based functional predictions. SoyNet maps 1 940 284 co-functional links between 40 812 soybean genes (72.8% of the coding genome), which were inferred from 21 distinct types of genomics data including 734 microarrays and 290 RNA-seq samples from soybean. SoyNet provides a new route to functional investigation of the soybean genome, elucidating genes and pathways of agricultural importance.

| S-EPMC5210602 | biostudies-literature

Identification of the potent phytoestrogen glycinol in elicited soybean (Glycine max).

Project description:The primary induced isoflavones in soybean, the glyceollins, have been shown to be potent estrogen antagonists in vitro and in vivo. The discovery of the glyceollins' ability to inhibit cancer cell proliferation has led to the analysis of estrogenic activities of other induced isoflavones. In this study, we investigated a novel isoflavone, glycinol, a precursor to glyceollin that is produced in elicited soy. Sensitive and specific in vitro bioassays were used to determine that glycinol exhibits potent estrogenic activity. Estrogen-based reporter assays were performed, and glycinol displayed a marked estrogenic effect on estrogen receptor (ER) signaling between 1 and 10 microM, which correlated with comparable colony formation of MCF-7 cells at 10 microM. Glycinol also induced the expression of estrogen-responsive genes (progesterone receptor and stromal-cell-derived factor-1). Competitive binding assays revealed a high affinity of glycinol for both ER alpha (IC(50) = 13.8 nM) and ER beta (IC(50) = 9.1 nM). In addition, ligand receptor modeling (docking) studies were performed and glycinol was shown to bind similarly to both ER alpha and ER beta. Taken together, these results suggest for the first time that glycinol is estrogenic and may represent an important component of the health effects of soy-based foods.

| S-EPMC2671905 | biostudies-literature

Soybean (Glycine max) Haplotype Map (GmHapMap): a universal resource for soybean translational and functional genomics.

Project description:Here, we describe a worldwide haplotype map for soybean (GmHapMap) constructed using whole-genome sequence data for 1007 Glycine max accessions and yielding 14.9 million variants as well as 4.3 M tag single-nucleotide polymorphisms (SNPs). When sampling random subsets of these accessions, the number of variants and tag SNPs plateaued beyond approximately 800 and 600 accessions, respectively. This suggests extensive coverage of diversity within the cultivated soybean. GmHapMap variants were imputed onto 21 618 previously genotyped accessions with up to 96% success for common alleles. A local association analysis was performed with the imputed data using markers located in a 1-Mb region known to contribute to seed oil content and enabled us to identify a candidate causal SNP residing in the NPC1 gene. We determined gene-centric haplotypes (407 867 GCHs) for the 55 589 genes and showed that such haplotypes can help to identify alleles that differ in the resulting phenotype. Finally, we predicted 18 031 putative loss-of-function (LOF) mutations in 10 662 genes and illustrated how such a resource can be used to explore gene function. The GmHapMap provides a unique worldwide resource for applied soybean genomics and breeding.

| S-EPMC7868971 | biostudies-literature

Functional characterization of Cinnamate 4-hydroxylase gene family in soybean (Glycine max).

Project description:Cinnamate 4-hydroxylase (C4H) is the first key cytochrome P450 monooxygenase (P450) enzyme in the phenylpropanoid pathway. It belongs to the CYP73 family of P450 superfamily, and catalyzes the conversion of trans-cinnamic acid to p-coumaric acid. Since p-coumaric acid serves as the precursor for the synthesis of a wide variety of metabolites involved in plant development and stress resistance, alteration in the expression of soybean C4H genes is expected to affect the downstream metabolite levels, and its ability to respond to stress. In this study, we identified four C4H genes in the soybean genome that are distributed into both class I and class II CYP73 family. GmC4H2, GmC4H14 and GmC4H20 displayed tissue- and developmental stage-specific gene expression patterns with their transcript accumulation at the highest level in root tissues. GmC4H10 appears to be a pseudogene as its transcript was not detected in any soybean tissues. Furthermore, protein homology modelling revealed substrate docking only for GmC4H2, GmC4H14 and GmC4H20. To demonstrate the function of GmC4Hs, we modified a cloning vector for the heterologous expression of P450s in yeast, and used it for microsomal protein production and enzyme assay. Our results confirmed that GmC4H2, GmC4H14 and GmC4H20 contain the ability to hydroxylate trans-cinnamic acid with varying efficiencies.

| S-EPMC10184913 | biostudies-literature

Genome-wide identification and characterization of GRAS genes in soybean (Glycine max).

Project description:BACKGROUND:GRAS proteins are crucial transcription factors, which are plant-specific and participate in various plant biological processes. Thanks to the rapid progress of the whole genome sequencing technologies, the GRAS gene families in different plants have been broadly explored and studied. However, comprehensive research on the soybean (Glycine max) GRAS gene family is relatively lagging. RESULTS:In this study, 117 Glycine max GRAS genes (GmGRAS) were identified. Further phylogenetic analyses showed that the GmGRAS genes could be categorized into nine gene subfamilies: DELLA, HAM, LAS, LISCL, PAT1, SCL3, SCL4/7, SCR and SHR. Gene structure analyses turned out that the GmGRAS genes lacked introns and were relatively conserved. Conserved domains and motif patterns of the GmGRAS members in the same subfamily or clade exhibited similarities. Notably, the expansion of the GmGRAS gene family was driven both by gene tandem and segmental duplication events. Whereas, segmental duplications took the major role in generating new GmGRAS genes. Moreover, the synteny and evolutionary constraints analyses of the GRAS proteins among soybean and distinct species (two monocots and four dicots) provided more detailed evidence for GmGRAS gene evolution. Cis-element analyses indicated that the GmGRAS genes may be responsive to diverse environmental stresses and regulate distinct biological processes. Besides, the expression patterns of the GmGRAS genes were varied in various tissues, during saline and dehydration stresses and during seed germination processes. CONCLUSIONS:We conducted a systematic investigation of the GRAS genes in soybean, which may be valuable in paving the way for future GmGRAS gene studies and soybean breeding.

| S-EPMC7487615 | biostudies-literature

Identification and Functional Characterization of a Soybean (Glycine max) Thioesterase that Acts on Intermediates of Fatty Acid Biosynthesis.

Project description:(1) Background: Plants possess many acyl-acyl carrier protein (acyl-ACP) thioesterases (TEs) with unique specificity. One such TE is methylketone synthase 2 (MKS2), an enzyme with a single-hotdog-fold structure found in several tomato species that hydrolyzes 3-ketoacyl-ACPs to give free 3-ketoacids. (2) Methods: In this study, we identified and characterized a tomato MKS2 homolog gene, namely, GmMKS2, in the genome of soybean (Glycine max). (3) Results: GmMKS2 underwent alternative splicing to produce three alternative transcripts, but only one encodes a protein with thioesterase activity when recombinantly expressed in Escherichia coli. Heterologous expression of the main transcript of GmMKS2, GmMKS2-X2, in E. coli generated various types of fatty acids, including 3-ketoacids-with 3-ketotetradecenoic acid (14:1) being the most abundant-cis-Δ5-dodecanoic acid, and 3-hydroxyacids, suggesting that GmMKS2 acts as an acyl-ACP thioesterase. In plants, the GmMKS2-X2 transcript level was found to be higher in the roots compared to other examined organs. In silico analysis revealed that there is a substantial enrichment of putative cis-regulatory elements related to disease-resistance responses and abiotic stress responses in the promoter of this gene. (4) Conclusions: GmMKS2 showed broad substrate specificities toward a wide range of acyl-ACPs that varied in terms of chain length, oxidation state, and saturation degree. Our results suggest that GmMKS2 might have a stress-related physiological function in G. max.

| S-EPMC6843456 | biostudies-literature

Identification of resistant sources from Glycine max against soybean cyst nematode.

Project description:Soybean cyst nematode (SCN, Heterodera glycines, HG) is one of the severe pests in plant-parasitic nematodes, which impairs root development and causes severe losses in soybean production worldwide. Breeding SCN-resistant cultivars is an important measure for securing harvests without affecting the environment, as can be done with pesticides. The majority of genetic resources for plant pest resistances are found in wild or closely related species which are often difficult to use in breeding due to crossing barriers or close linkage with unfavorable agronomic traits. In this study, 12 soybean cultivars were evaluated for their marker haplotype at the rhg1 and Rhg4 SCN resistance loci and their SCN resistance tested against multiple races in environmentally controlled bioassays. The results showed that all 12 cultivars displayed Peking-type resistance marker haplotypes and all of them proved to be resistant to multiple SCN races. These cultivars provide potential for improving H. glycines resistance of soybean as donor parent in breeding and can contribute to reduce SCN field populations as part of a sustainable agriculture management.

| S-EPMC10028208 | biostudies-literature

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

Characterization of RNAs in soybean (Glycine max)

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

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