Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

In silico structural homology modeling of nif A protein of rhizobial strains in selective legume plants.

ABSTRACT: Symbiosis is a complex genetic regulatory biological evolution which is highly specific pertaining to plant species and microbial strains. Biological nitrogen fixation in legumes is a functional combination of nodulation by nod genes and regulation by nif, fix genes. Three rhizobial strains (Rhizobium leguminosarum, Bradyrhizobium japonicum, and Mesorhizobium ciceri) that we considered for in silico analysis of nif A are proved to be the best isolates with respect to N2 fixing for ground nut, chick pea and soya bean (in vitro) out of 47 forest soil samples. An attempt has been made to understand the structural characteristics and variations of nif genes that may reveal the factors influencing the nitrogen fixation. The primary, secondary and tertiary structure of nif A protein was analyzed by using multiple bioinformatics tools such as chou-Fasman, GOR, ExPasy ProtParam tools, Prosa -web. Literature shows that the homology modeling of nif A protein have not been explored yet which insisted the immediate development for better understanding of nif A structure and its influence on biological nitrogen fixation. In the present predicted 3D structure, the nif A protein was analyzed by three different software tools (Phyre2, Swiss model, Modeller) and validated accordingly which can be considered as an acceptable model. However further in silico studies are suggested to determine the specific factors responsible for nitrogen fixing in the present three rhizobial strains.

SUBMITTER: Satyanarayana SDV

PROVIDER: S-EPMC6353771 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

In silico structural homology modeling and functional characterization of Mycoplasma gallisepticum variable lipoprotein hemagglutin proteins

Project description:Mycoplasma gallisepticum variable lipoprotein hemagglutin (vlhA) proteins are crucial for immune evasion from the host cells, permitting the persistence and survival of the pathogen. However, the exact molecular mechanism behind the immune evasion function is still not clear. In silico physiochemical analysis, domain analysis, subcellular localization, and homology modeling studies have been carried out to predict the structural and functional properties of these proteins. The outcomes of this study provide significant preliminary data for understanding the immune evasion by vlhA proteins. In this study, we have reported the primary, secondary, and tertiary structural characteristics and subcellular localization, presence of the transmembrane helix and signal peptide, and functional characteristics of vlhA proteins from M. gallisepticum strain R low. The results show variation between the structural and functional components of the proteins, signifying the role and diverse molecular mechanisms in functioning of vlhA proteins in host immune evasion. Moreover the 3D structure predicted in this study will pave a way for understanding vlhA protein function and its interaction with other molecules to undergo immune evasion. This study forms the basis for future experimental studies improving our understanding in the molecular mechanisms used by vlhA proteins.

| S-EPMC9386052 | biostudies-literature

Mycelial network-mediated rhizobial dispersal enhances legume nodulation.

Project description:The access of rhizobia to legume host is a prerequisite for nodulation. Rhizobia are poorly motile in soil, while filamentous fungi are known to grow extensively across soil pores. Since root exudates-driven bacterial chemotaxis cannot explain rhizobial long-distance dispersal, mycelia could constitute ideal dispersal networks to help rhizobial enrichment in the legume rhizosphere from bulk soil. Thus, we hypothesized that mycelia networks act as vectors that enable contact between rhizobia and legume and influence subsequent nodulation. By developing a soil microcosm system, we found that a facultatively biotrophic fungus, Phomopsis liquidambaris, helps rhizobial migration from bulk soil to the peanut (Arachis hypogaea) rhizosphere and, hence, triggers peanut-rhizobium nodulation but not seen in the absence of mycelia. Assays of dispersal modes suggested that cell proliferation and motility mediated rhizobial dispersal along mycelia, and fungal exudates might contribute to this process. Furthermore, transcriptomic analysis indicated that genes associated with the cell division, chemosensory system, flagellum biosynthesis, and motility were regulated by Ph. liquidambaris, thus accounting for the detected rhizobial dispersal along hyphae. Our results indicate that rhizobia use mycelia as dispersal networks that migrate to legume rhizosphere and trigger nodulation. This work highlights the importance of mycelial network-based bacterial dispersal in legume-rhizobium symbiosis.

| S-EPMC7082348 | biostudies-literature

In silico structural homology modeling and characterization of multiple N-terminal domains of selected bacterial Tcps.

Project description:Several bacterial pathogens produce Toll/interleukin-1 receptor (TIR) domain-containing protein homologs that are important for subverting the Toll-like receptor (TLR) signaling cascades in hosts. Consequently, promoting the persistence and survival of the bacterial pathogens. However, the exact molecular mechanisms elucidating the functional characteristics of these bacterial proteins are not clear. Physicochemical and homology modeling characterization studies have been conducted to predict the conditions suitable for the stability and purification of these proteins and to predict their structural properties. The outcomes of these studies have provided important preliminary data for the drug discovery pipeline projects. Here, using in silico physicochemical and homology modeling tools, we have reported the primary, secondary and tertiary structural characteristics of multiple N-terminal domains of selected bacterial TIR domain-containing proteins (Tcps). The results show variations between the primary amino acid sequences, secondary structural components and three-dimensional models of the proteins, suggesting the role of different molecular mechanisms in the functioning of these proteins in subverting the host immune system. This study could form the basis of future experimental studies advancing our understanding of the molecular basis of the inhibition of the host immune response by the bacterial Tcps.

| S-EPMC7646307 | biostudies-literature

Phylogenetic and structural analysis of annexins in pea (Pisum sativum L.) and their role in legume-rhizobial symbiosis development.

Project description:Annexins as Ca2+/phospholipid-binding proteins are involved in the control of many biological processes essential for plant growth and development. In a previous study, we had shown, using a proteomic approach, that the synthesis of two annexins is induced in pea roots in response to rhizobial inoculation. In this study, phylogenetic analysis identif ied these annexins as PsAnn4 and PsAnn8 based on their homology with annexins from other legumes. The modeling approach allowed us to estimate the structural features of these annexins that might inf luence their functional activity. To verify the functions of these annexins, we performed comparative proteomic analysis, experiments with calcium inf lux inhibitors, and localization of labeled proteins. Essential down-regulation of PsAnn4 synthesis in a non-nodulating pea mutant P56 (sym10) suggests an involvement of this annexin in the rhizobial symbiosis. Quantitative RT-PCR analysis showed that PsAnn4 was upregulated at the early stages of symbiosis development, starting from 1-3 days after inoculation to up to 5 days after inoculation, while experiments with the Ca2+ channel blocker LaCl3 revealed its negative inf luence on this expression. To follow the PsAnn4 protein localization in plant cells, it was fused to the f luorophores such as red f luorescent protein (RFP) and yellow f luorescent protein (YFP) and expressed under the transcriptional regulation of the 35S promoter in Nicotiana benthamiana leaves by inf iltration with Agrobacterium tumefaciens. The localization of PsAnn4 in the cell wall or plasma membrane of plant cells may indicate its participation in membrane modif ication or ion transport. Our results suggest that PsAnn4 may play an important role during the early stages of pea-rhizobial symbiosis development.

| S-EPMC8453364 | biostudies-literature

Homology modeling and structural analysis of human P-glycoprotein.

Project description:UnlabelledHomology modeling and structural analysis of human P-glycoprotein (hP-gp) were performed with a software package the Molecular Operating Environment (MOE). A mouse P-gp (mP-gp; PDB code: 3G5U) was selected as a template for the 3D structure modeling of hP-gp. The modeled hP-gp showed significant 3D similarities at the drug biding site (DBS) to the mP-gp structure. The contact energy profiles of the hP-gp model were in good agreement with those of the mP-gp structure. Ramachandran plots revealed that only 3.5% of the amino acid residues were in the disfavored region for hP-gp. Further, docking simulations between 6-(methylsulfinyl)hexyl isothiocyanate (6-MITC) and the P-gp models revealed the similarity of the ligand-receptor bound location between the hP-gp and mP-gp models. These results indicate that the hP-gp model was successfully modeled and analyzed. To the best of our knowledge, this is the first report of a hP-gp model with a naturally occurring isothiocyanate, and our data verify that the model can be utilized for application to target hP-gp for the development of antitumor drugs.AbbreviationsABC - ATP-binding cassette, ASE-Dock - alpha sphere and excluded volume-based ligand-protein docking, DBS - drug biding site, MDR - multidrug resistance, MOE - Molecular Operating Environment, ITC - isothiocyanate, P-gp - P-glycoprotein.

| S-EPMC3523220 | biostudies-literature

Rhizobial adaptation to hosts, a new facet in the legume root-nodule symbiosis

Project description:Certain alpha- and beta-proteobacteria, the rhizobia, are able to infect legume roots, elicit root nodules, and live therein as endosymbiotic, nitrogen-fixing bacteroids. Host recognition and specificity are the results of consecutive programming events in bacteria and host plants in which important signaling molecules, e.g. plant flavonoids and rhizobial lipooligosaccharides, play key roles. Here, we introduce a new aspect of this symbiosis: the adaptive response to hosts. In contrast to host specificity, which determines early steps in bacteria-plant interaction, the adaptation to hosts refers to late events in mature bacteroids where specific genes are transcribed and translated that help the endosymbionts to meet the disparate environmental requirements imposed by the hosts in which they live. This concept was elaborated with Bradyrhizobium japonicum and three different legumes (soybean, cowpea, siratro). We systematically analyzed and compared the transcriptomes as well as the proteomes in bacteroids from root nodules of the three hosts. Transcripts and proteins were thus identified which are induced in only one of the three hosts. We then focused on those determinants that were congruent in the two data sets of host-specific transcripts and proteins, and arrived at 20 for soybean, 7 for siratro, and 4 for cowpea. One conspicuous gene cluster for a predicted ABC-type transporter, differentially expressed in siratro, was deleted. The corresponding mutant had a symbiotic defect on siratro rather than on soybean or cowpea. This result demonstrates the value of the applied approach and corroborates the host-specific adaptation concept.

2010-03-07 | GSE18884 | GEO

Legume receptors perceive the rhizobial lipochitin oligosaccharide signal molecules by direct binding.

Project description:Lipochitin oligosaccharides called Nod factors function as primary rhizobial signal molecules triggering legumes to develop new plant organs: root nodules that host the bacteria as nitrogen-fixing bacteroids. Here, we show that the Lotus japonicus Nod factor receptor 5 (NFR5) and Nod factor receptor 1 (NFR1) bind Nod factor directly at high-affinity binding sites. Both receptor proteins were posttranslationally processed when expressed as fusion proteins and extracted from purified membrane fractions of Nicotiana benthamiana or Arabidopsis thaliana. The N-terminal signal peptides were cleaved, and NFR1 protein retained its in vitro kinase activity. Processing of NFR5 protein was characterized by determining the N-glycosylation patterns of the ectodomain. Two different glycan structures with identical composition, Man(3)XylFucGlcNAc(4), were identified by mass spectrometry and located at amino acid positions N68 and N198. Receptor-ligand interaction was measured by using ligands that were labeled or immobilized by application of chemoselective chemistry at the anomeric center. High-affinity ligand binding was demonstrated with both solid-phase and free solution techniques. The K(d) values obtained for Nod factor binding were in the nanomolar range and comparable to the concentration range sufficient for biological activity. Structure-dependent ligand specificity was shown by using chitin oligosaccharides. Taken together, our results suggest that ligand recognition through direct ligand binding is a key step in the receptor-mediated activation mechanism leading to root nodule development in legumes.

| S-EPMC3427107 | biostudies-literature

Structural Equation Modeling of In silico Perturbations.

Project description:Gene expression is controlled by multiple regulators and their interactions. Data from genome-wide gene expression assays can be used to estimate molecular activities of regulators within a model organism and extrapolate them to biological processes in humans. This approach is valuable in studies to better understand complex human biological systems which may be involved in diseases and hence, have potential clinical relevance. In order to achieve this, it is necessary to infer gene interactions that are not directly observed (i.e. latent or hidden) by way of structural equation modeling (SEM) on the expression levels or activities of the downstream targets of regulator genes. Here we developed an R Shiny application, termed "Structural Equation Modeling of In silico Perturbations (SEMIPs)" to compute a two-sided t-statistic (T-score) from analysis of gene expression data, as a surrogate to gene activity in a given human specimen. SEMIPs can be used in either correlational studies between outcome variables of interest or subsequent model fitting on multiple variables. This application implements a 3-node SEM model that consists of two upstream regulators as input variables and one downstream reporter as an outcome variable to examine the significance of interactions among these variables. SEMIPs enables scientists to investigate gene interactions among three variables through computational and mathematical modeling (i.e. in silico). In a case study using SEMIPs, we have shown that putative direct downstream genes of the GATA Binding Protein 2 (GATA2) transcription factor are sufficient to infer its activities in silico for the conserved progesterone receptor (PGR)-GATA2-SRY-box transcription factor 17 (SOX17) genetic network in the human uterine endometrium.

| S-EPMC8652139 | biostudies-literature

Homology modeling and structural validation of tissue factor pathway inhibitor.

Project description:Blood coagulation is a cascade of complex enzymatic reactions which involves specific proteins and cellular components to interact and prevent blood loss. The coagulation process begins by either "Tissue Dependent Pathway" (also known as extrinsic pathway) or by "contact activation pathway" (also known as intrinsic pathway). TFPI is an endogenous multivalent Kunitz type protease inhibitor which inhibits Tissue factor dependent pathway by inhibiting Tissue Factor:Factor VIIa (TF:FVIIa) complex and Factor Xa. TFPI is one of the most studied coagulation pathway inhibitor which has various clinical and potential therapeutic applications, however, its exact mechanism of inhibition is still unknown. Structure based mechanism elucidation is commonly employed technique in such cases. Therefore, in the current study the generated a complete TFPI structural model so as to understand the mechanistic details of it's functioning. The model was checked for stereochemical quality by PROCHECK-NMR, WHATIF, ProSA, and QMEAN servers. The model was selected, energy minimized and simulated for 1.5ns. The result of the study may be a guiding point for further investigations on TFPI and its role in coagulation mechanism.

| S-EPMC3796881 | biostudies-literature

Homology Modeling-Based in Silico Affinity Maturation Improves the Affinity of a Nanobody.

Project description:Affinity maturation and rational design have a raised importance in the application of nanobody (VHH), and its unique structure guaranteed these processes quickly done in vitro. An anti-CD47 nanobody, Nb02, was screened via a synthetic phage display library with 278 nM of KD value. In this study, a new strategy based on homology modeling and Rational Mutation Hotspots Design Protocol (RMHDP) was presented for building a fast and efficient platform for nanobody affinity maturation. A three-dimensional analytical structural model of Nb02 was constructed and then docked with the antigen, the CD47 extracellular domain (CD47ext). Mutants with high binding affinity are predicted by the scoring of nanobody-antigen complexes based on molecular dynamics trajectories and simulation. Ultimately, an improved mutant with an 87.4-fold affinity (3.2 nM) and 7.36 °C higher thermal stability was obtained. These findings might contribute to computational affinity maturation of nanobodies via homology modeling using the recent advancements in computational power. The add-in of aromatic residues which formed aromatic-aromatic interaction plays a pivotal role in affinity and thermostability improvement. In a word, the methods used in this study might provide a reference for rapid and efficient in vitro affinity maturation of nanobodies.

| S-EPMC6747709 | biostudies-literature

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