scholarly journals Genome-wide identification of the GATA transcription factor family and their expression patterns under temperature and salt stress in Aspergillus oryzae

AMB Express ◽  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chunmiao Jiang ◽  
Gongbo Lv ◽  
Jinxin Ge ◽  
Bin He ◽  
Zhe Zhang ◽  
...  
Keyword(s):  
Salt Stress ◽  
Expression Patterns ◽  
Interaction Network ◽  
Protein Protein Interaction ◽  
Genome Wide ◽  
Gata Transcription Factor ◽  
Starting Point ◽  
Evolutionary Features ◽  
First Time

AbstractGATA transcription factors (TFs) are involved in the regulation of growth processes and various environmental stresses. Although GATA TFs involved in abiotic stress in plants and some fungi have been analyzed, information regarding GATA TFs in Aspergillusoryzae is extremely poor. In this study, we identified and functionally characterized seven GATA proteins from A.oryzae 3.042 genome, including a novel AoSnf5 GATA TF with 20-residue between the Cys-X2-Cys motifs which was found in Aspergillus GATA TFs for the first time. Phylogenetic analysis indicated that these seven A. oryzae GATA TFs could be classified into six subgroups. Analysis of conserved motifs demonstrated that Aspergillus GATA TFs with similar motif compositions clustered in one subgroup, suggesting that they might possess similar genetic functions, further confirming the accuracy of the phylogenetic relationship. Furthermore, the expression patterns of seven A.oryzae GATA TFs under temperature and salt stresses indicated that A. oryzae GATA TFs were mainly responsive to high temperature and high salt stress. The protein–protein interaction network of A.oryzae GATA TFs revealed certain potentially interacting proteins. The comprehensive analysis of A. oryzae GATA TFs will be beneficial for understanding their biological function and evolutionary features and provide an important starting point to further understand the role of GATA TFs in the regulation of distinct environmental conditions in A.oryzae.

scholarly journals Characteristics of the Aspergillus oryzae GATA Transcription Factor Family and Expression Analysis under Temperature or Salt Stresses

2020 ◽  
Author(s):  
Chunmiao Jiang ◽  
Gongbo Lv ◽  
Bin He ◽  
Zhe Zhang ◽  
Zhihong Hu ◽  
...  
Keyword(s):  
Expression Patterns ◽  
Interacting Proteins ◽  
Ppi Network ◽  
Transcription Factor Family ◽  
Gata Transcription Factor ◽  
Evolutionary Features ◽  
Gata Transcription Factors ◽  
High Salt Stress ◽  
First Time

Abstract GATA transcription factors（TFs）are involved in the regulation of diverse growth processes and various environmental stimuli stresses. Although the analysis of GATA TFs involved in abiotic stress has been performed in plants and some fungi, information regarding GATA TFs in A. oryzae is extremely poor. Therefore, we identified seven GATA TFs from A. oryzae 3.042 genome and classified into six subgroups in NJ_tree, including a novel AoSnf5 with 20-residue between the Cys-X2-Cys motifs which was found in Aspergillus for the first time. Conserved motifs demonstrated that Aspergillus GATA TFs with similar motif compositions clustered into one subgroup, which suggests they might have similar genetic functions and further confirms the accuracy of the phylogenetic relationship. Moreover, the expression patterns of seven A. oryzae GATA TFs under temperature and salt stresses indicated that A. oryzae GATA TFs were mainly responsive to high-temperature and high salt stress. The PPI network of A. oryzae GATA TFs proposed some potentially interacting proteins. The comprehensive analysis of A. oryzae GATA TFs will be beneficial to understand their functional and evolutionary features and provide useful information for the further analyzing the role of GATA TFs in regulation of distinct environmental conditions in A. oryzae.

scholarly journals Characterization of MATE Gene Family And Its Role In Drought, Heat, And Salt Tolerance In Wheat (Triticum Aestivum L.)

2021 ◽  
Author(s):  
Joseph Noble Amoah ◽  
Yong Weon Seo
Keyword(s):  
Salt Stress ◽  
Expression Patterns ◽  
Triticum Aestivum L ◽  
Stress Conditions ◽  
Crop Species ◽  
Expression Levels ◽  
Cis Acting ◽  
Genome Wide ◽  
A Genome

Abstract To explore the response of multidrug and toxic compound extrusion (MATE) proteins to drought, heat, and salt stress in wheat, a genome-wide identification and expression study was performed. 20 MATE genes located on 4 of the 12 chromosomes were identified and categorized into four (I-1V) subfamilies, based on phylogenetic analysis. Wheat MATE family expansion was primarily driven by whole-genome duplication (WGD) and tandem events. In the same subfamily, gene exon-intron structures and motif composition are more similar. TaMATE genes had cis-acting elements that were implicated in stress and defense response. Tae-miR5175e was identified as the highly expressed miRNA that targets TaMATEs by miRNA prediction. When compared to controls, the relative expression patterns of seven TaMATE genes were substantially elevated during drought stress. TaMATE2, 10, 13, and 14 expression levels considerably elevated after 15 days (d) of heat stress, whereas TaMATE2, 14, 18, and 20 expression levels were highly upregulated following 15 d of salt stress treatment, indicating the crucial role of TaMATEs under these abiotic stress conditions. Furthermore, drought, heat, and salt stress decreased wheat water content, but increased malondialdehyde (MDA), electrolyte leakage (EL), and proline content, whereas the expression of the 7 putative MATE genes was correlated with physio-biochemical indicators of these stress conditions. The findings contribute to a better understanding of the complexities of MATEs and present a theoretical base for future MATE gene discovery and application in wheat and other crop species.

scholarly journals Transcriptional landscape of cellular networks reveal interactions driving the dormancy mechanisms in cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dilara Uzuner ◽  
Yunus Akkoç ◽  
Nesibe Peker ◽  
Pınar Pir ◽  
Devrim Gözüaçık ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Regulatory Networks ◽  
Metastatic Cancer ◽  
Interaction Network ◽  
Current Treatment ◽  
Cellular Mechanisms ◽  
Protein Protein Interaction ◽  
Cancer Dormancy ◽  
Protein Protein Interaction Networks ◽  
First Time

AbstractPrimary cancer cells exert unique capacity to disseminate and nestle in distant organs. Once seeded in secondary sites, cancer cells may enter a dormant state, becoming resistant to current treatment approaches, and they remain silent until they reactivate and cause overt metastases. To illuminate the complex mechanisms of cancer dormancy, 10 transcriptomic datasets from the literature enabling 21 dormancy–cancer comparisons were mapped on protein–protein interaction networks and gene-regulatory networks to extract subnetworks that are enriched in significantly deregulated genes. The genes appearing in the subnetworks and significantly upregulated in dormancy with respect to proliferative state were scored and filtered across all comparisons, leading to a dormancy–interaction network for the first time in the literature, which includes 139 genes and 1974 interactions. The dormancy interaction network will contribute to the elucidation of cellular mechanisms orchestrating cancer dormancy, paving the way for improvements in the diagnosis and treatment of metastatic cancer.

scholarly journals Genome-Wide Expression Patterns of Rhoptry Kinases during the Eimeria tenella Life-Cycle

2021 ◽  
Vol 9 (8) ◽  
pp. 1621
Author(s):  
Adeline Ribeiro E Silva ◽  
Alix Sausset ◽  
Françoise I. Bussière ◽  
Fabrice Laurent ◽  
Sonia Lacroix-Lamandé ◽  
...  
Keyword(s):  
Life Cycle ◽  
Expression Patterns ◽  
Housekeeping Genes ◽  
Catalytic Triad ◽  
Eimeria Tenella ◽  
Apicomplexan Parasites ◽  
Genome Wide ◽  
Infected Cells ◽  
First And Second Generation

Kinome from apicomplexan parasites is composed of eukaryotic protein kinases and Apicomplexa specific kinases, such as rhoptry kinases (ROPK). Ropk is a gene family that is known to play important roles in host–pathogen interaction in Toxoplasma gondii but is still poorly described in Eimeria tenella, the parasite responsible for avian coccidiosis worldwide. In the E. tenella genome, 28 ropk genes are predicted and could be classified as active (n = 7), inactive (incomplete catalytic triad, n = 12), and non-canonical kinases (active kinase with a modified catalytic triad, n = 9). We characterized the ropk gene expression patterns by real-time quantitative RT-PCR, normalized by parasite housekeeping genes, during the E. tenella life-cycle. Analyzed stages were: non-sporulated oocysts, sporulated oocysts, extracellular and intracellular sporozoites, immature and mature schizonts I, first- and second-generation merozoites, and gametes. Transcription of all those predicted ropk was confirmed. The mean intensity of transcription was higher in extracellular stages and 7–9 ropk were specifically transcribed in merozoites in comparison with sporozoites. Transcriptional profiles of intracellular stages were closely related to each other, suggesting a probable common role of ROPKs in hijacking signaling pathways and immune responses in infected cells. These results provide a solid basis for future functional analysis of ROPK from E. tenella.

scholarly journals Identification of Type II Interferon Receptors in Geese: Gene Structure, Phylogenetic Analysis, and Expression Patterns

2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Hao Zhou ◽  
Shun Chen ◽  
Yulin Qi ◽  
Qin Zhou ◽  
Mingshu Wang ◽  
...  
Keyword(s):  
Expression Profiles ◽  
Expression Patterns ◽  
Harderian Gland ◽  
Distribution Analysis ◽  
Expression Levels ◽  
Age Related ◽  
Cecal Tonsil ◽  
Immune Tissues ◽  
First Time

Interferonγreceptor 1 (IFNGR1) and IFNGR2 are two cell membrane molecules belonging to class II cytokines, which play important roles in the IFN-mediated antiviral signaling pathway. Here, goose IFNGR1 and IFNGR2 were cloned and identified for the first time. Tissue distribution analysis revealed that relatively high levels of goose IFNγmRNA transcripts were detected in immune tissues, including the harderian gland, cecal tonsil, cecum, and thymus. Relatively high expression levels of both IFNGR1 and IFNGR2 were detected in the cecal tonsil, which implicated an important role of IFNγin the secondary immune system of geese. No specific correlation between IFNγ, IFNGR1, and IFNGR2 expression levels was observed in the same tissues of healthy geese. IFNγand its cognate receptors showed different expression profiles, although they appeared to maintain a relatively balanced state. Furthermore, the agonist R848 led to the upregulation of goose IFNγbut did not affect the expression of goose IFNGR1 or IFNGR2. In summary, trends in expression of goose IFNγand its cognate receptors showed tissue specificity, as well as an age-related dependency. These findings may help us to better understand the age-related susceptibility to pathogens in birds.

scholarly journals Repurposing novel therapeutic candidate drugs for coronavirus disease-19 based on protein-protein interaction network analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Masoumeh Adhami ◽  
Balal Sadeghi ◽  
Ali Rezapour ◽  
Ali Akbar Haghdoost ◽  
Habib MotieGhader
Keyword(s):  
Network Analysis ◽  
Protein Interaction ◽  
Target Therapy ◽  
Interaction Network ◽  
Drug Repurposing ◽  
Ppi Network ◽  
Protein Protein Interaction ◽  
Candidate Drug ◽  
Starting Point ◽  
Experimental Validations

Abstract Background The coronavirus disease-19 (COVID-19) emerged in Wuhan, China and rapidly spread worldwide. Researchers are trying to find a way to treat this disease as soon as possible. The present study aimed to identify the genes involved in COVID-19 and find a new drug target therapy. Currently, there are no effective drugs targeting SARS-CoV-2, and meanwhile, drug discovery approaches are time-consuming and costly. To address this challenge, this study utilized a network-based drug repurposing strategy to rapidly identify potential drugs targeting SARS-CoV-2. To this end, seven potential drugs were proposed for COVID-19 treatment using protein-protein interaction (PPI) network analysis. First, 524 proteins in humans that have interaction with the SARS-CoV-2 virus were collected, and then the PPI network was reconstructed for these collected proteins. Next, the target miRNAs of the mentioned module genes were separately obtained from the miRWalk 2.0 database because of the important role of miRNAs in biological processes and were reported as an important clue for future analysis. Finally, the list of the drugs targeting module genes was obtained from the DGIDb database, and the drug-gene network was separately reconstructed for the obtained protein modules. Results Based on the network analysis of the PPI network, seven clusters of proteins were specified as the complexes of proteins which are more associated with the SARS-CoV-2 virus. Moreover, seven therapeutic candidate drugs were identified to control gene regulation in COVID-19. PACLITAXEL, as the most potent therapeutic candidate drug and previously mentioned as a therapy for COVID-19, had four gene targets in two different modules. The other six candidate drugs, namely, BORTEZOMIB, CARBOPLATIN, CRIZOTINIB, CYTARABINE, DAUNORUBICIN, and VORINOSTAT, some of which were previously discovered to be efficient against COVID-19, had three gene targets in different modules. Eventually, CARBOPLATIN, CRIZOTINIB, and CYTARABINE drugs were found as novel potential drugs to be investigated as a therapy for COVID-19. Conclusions Our computational strategy for predicting repurposable candidate drugs against COVID-19 provides efficacious and rapid results for therapeutic purposes. However, further experimental analysis and testing such as clinical applicability, toxicity, and experimental validations are required to reach a more accurate and improved treatment. Our proposed complexes of proteins and associated miRNAs, along with discovered candidate drugs might be a starting point for further analysis by other researchers in this urgency of the COVID-19 pandemic.

scholarly journals Genome-wide identification and characterization of GRAS transcription factors in tomato (Solanum lycopersicum)

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3955 ◽  
Author(s):  
Yiling Niu ◽  
Tingting Zhao ◽  
Xiangyang Xu ◽  
Jingfu Li
Keyword(s):  
Gene Family ◽  
Solanum Lycopersicum ◽  
Stress Responses ◽  
Expression Patterns ◽  
Gene Families ◽  
Shoot Meristem ◽  
Axillary Shoot ◽  
Multiple Sequence ◽  
Genome Wide ◽  
First Time

Solanum lycopersicum, belonging to Solanaceae, is one of the commonly used model plants. The GRAS genes are transcriptional regulators, which play a significant role in plant growth and development, and the functions of several GRAS genes have been recognized, such as, axillary shoot meristem formation, radial root patterning, phytohormones (gibberellins) signal transduction, light signaling, and abiotic/biotic stress; however, only a few of these were identified and functionally characterized. In this study, a gene family was analyzed comprehensively with respect to phylogeny, gene structure, chromosomal localization, and expression pattern; the 54 GRAS members were screened from tomato by bioinformatics for the first time. The GRAS genes among tomato, Arabidopsis, rice, and grapevine were rebuilt to form a phylogenomic tree, which was divided into ten groups according to the previous classification of Arabidopsis and rice. A multiple sequence alignment exhibited the typical GRAS domain and conserved motifs similar to other gene families. Both the segmental and tandem duplications contributed significantly to the expansion and evolution of the GRAS gene family in tomato; the expression patterns across a variety of tissues and biotic conditions revealed potentially different functions of GRAS genes in tomato development and stress responses. Altogether, this study provides valuable information and robust candidate genes for future functional analysis for improving the resistance of tomato growth.

scholarly journals The diminishing role of hubs in dynamical processes on complex networks

2013 ◽  
Vol 10 (88) ◽  
pp. 20130568 ◽  
Author(s):  
Rick Quax ◽  
Andrea Apolloni ◽  
Peter M. A. Sloot
Keyword(s):  
Interaction Network ◽  
Macroscopic System ◽  
Protein Protein Interaction ◽  
Equilibrium Dynamics ◽  
Qualitative Evidence ◽  
Individual Unit ◽  
System Of Units ◽  
Protein Protein Interaction Network

It is notoriously difficult to predict the behaviour of a complex self-organizing system, where the interactions among dynamical units form a heterogeneous topology. Even if the dynamics of each microscopic unit is known, a real understanding of their contributions to the macroscopic system behaviour is still lacking. Here, we develop information-theoretical methods to distinguish the contribution of each individual unit to the collective out-of-equilibrium dynamics. We show that for a system of units connected by a network of interaction potentials with an arbitrary degree distribution, highly connected units have less impact on the system dynamics when compared with intermediately connected units. In an equilibrium setting, the hubs are often found to dictate the long-term behaviour. However, we find both analytically and experimentally that the instantaneous states of these units have a short-lasting effect on the state trajectory of the entire system. We present qualitative evidence of this phenomenon from empirical findings about a social network of product recommendations, a protein–protein interaction network and a neural network, suggesting that it might indeed be a widespread property in nature.

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