Genome-wide identification and analysis of the GATA transcription factor gene family in Ustilaginoidea virens

Genome ◽  
2019 ◽  
Vol 62 (12) ◽  
pp. 807-816 ◽  
Author(s):  
Mina Yu ◽  
Junjie Yu ◽  
Huijuan Cao ◽  
Mingli Yong ◽  
Yongfeng Liu
Keyword(s):  
Transcription Factors ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Ustilaginoidea Virens ◽  
Genome Wide ◽  
Transcriptional Regulatory ◽  
Starting Point ◽  
Reactive Oxygen Species Stress ◽  
False Smut ◽  
Transcriptional Regulatory Mechanisms

In filamentous fungi, the conserved transcription factors play important roles in multiple cellular and developmental processes. The GATA proteins, a family of GATA-binding zinc finger transcription factors, play diverse functions in fungi. Ustilaginoidea virens is an economically important pathogen-causing rice false smut worldwide. To gain additional insight into the cellular and molecular mechanisms of this pathogen, in this study, we identified and functionally characterized seven GATA proteins from the U. virens genome (UvGATA). Sequences analysis indicated that these GATA proteins are divided into seven clades. The proteins in each clade contained conserved clade-specific sequences and structures, thus leading to the same motif serving different purposes in various contexts. The expression profiles of UvGATA genes at different infection stages and under H2O2 stress were detected. Results showed that the majority of UvGATA genes performed functions at both processes, thereby confirming the roles of these genes in pathogenicity and reactive oxygen species stress tolerance. This study provided an important starting point to further explore the biological functions of UvGATA genes and increased our understanding of their potential transcriptional regulatory mechanisms in U. virens.

scholarly journals Genetics and Epigenetics of Atrial Fibrillation

2020 ◽  
Vol 21 (16) ◽  
pp. 5717 ◽  
Author(s):  
Estefanía Lozano-Velasco ◽  
Diego Franco ◽  
Amelia Aranega ◽  
Houria Daimi
Keyword(s):  
Atrial Fibrillation ◽  
Regulatory Networks ◽  
Association Studies ◽  
Functional Characterization ◽  
The Elderly ◽  
Supraventricular Arrhythmia ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Transcriptional Regulatory ◽  
Transcriptional Regulatory Mechanisms

Atrial fibrillation (AF) is known to be the most common supraventricular arrhythmia affecting up to 1% of the general population. Its prevalence exponentially increases with age and could reach up to 8% in the elderly population. The management of AF is a complex issue that is addressed by extensive ongoing basic and clinical research. AF centers around different types of disturbances, including ion channel dysfunction, Ca2+-handling abnormalities, and structural remodeling. Genome-wide association studies (GWAS) have uncovered over 100 genetic loci associated with AF. Most of these loci point to ion channels, distinct cardiac-enriched transcription factors, as well as to other regulatory genes. Recently, the discovery of post-transcriptional regulatory mechanisms, involving non-coding RNAs (especially microRNAs), DNA methylation, and histone modification, has allowed to decipher how a normal heart develops and which modifications are involved in reshaping the processes leading to arrhythmias. This review aims to provide a current state of the field regarding the identification and functional characterization of AF-related epigenetic regulatory networks

scholarly journals Screening Driving Transcription Factors in the Processing of Gastric Cancer

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Guangzhong Xu ◽  
Kai Li ◽  
Nengwei Zhang ◽  
Bin Zhu ◽  
Guosheng Feng
Keyword(s):  
Gastric Cancer ◽  
Transcription Factors ◽  
Regulatory Network ◽  
Target Genes ◽  
Transcriptional Regulatory Network ◽  
Expression Profiles ◽  
Functional Enrichment ◽  
Regulatory Mechanisms ◽  
Integrated Analysis ◽  
Transcriptional Regulatory

Background. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer.Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were analyzed by GO enrichment and KEGG pathway enrichment. Transcription factors were further identified and then a global transcriptional regulatory network was constructed.Results. By integrated analysis of the six eligible datasets (340 cases and 43 controls), a bunch of 2327 DEGs were identified, including 2100 upregulated and 227 downregulated DEGs. Functional enrichment analysis of DEGs showed that digestion was a significantly enriched GO term for biological process. Moreover, there were two important enriched KEGG pathways: cell cycle and homologous recombination. Furthermore, a total of 70 differentially expressed TFs were identified and the transcriptional regulatory network was constructed, which consisted of 566 TF-target interactions. The top ten TFs regulating most downstream target genes were BRCA1, ARID3A, EHF, SOX10, ZNF263, FOXL1, FEV, GATA3, FOXC1, and FOXD1. Most of them were involved in the carcinogenesis of gastric cancer.Conclusion. The transcriptional regulatory network can help researchers to further clarify the underlying regulatory mechanisms of gastric cancer tumorigenesis.

scholarly journals Genome-Wide Identification of Zn2Cys6 Class Fungal-Specific Transcription Factors (ZnFTFs) and Functional Analysis of UvZnFTF1 in Ustilaginoidea virens

Rice Science ◽  
2021 ◽  
Vol 28 (6) ◽  
pp. 567-578
Author(s):  
Song Tianqiao ◽  
Zhang Xiong ◽  
Zhang You ◽  
Liang Dong ◽  
Yan Jiaoling ◽  
...  
Keyword(s):  
Functional Analysis ◽  
Transcription Factors ◽  
Ustilaginoidea Virens ◽  
Genome Wide

scholarly journals Genome-wide identification and expression profiles of ERF subfamily transcription factors in Zea mays

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9551
Author(s):  
Lidong Hao ◽  
Shubing Shi ◽  
Haibin Guo ◽  
Ming Li ◽  
Pan Hu ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Plant Growth ◽  
Growth And Development ◽  
Expression Profiles ◽  
Vital Role ◽  
Ethylene Response Factor ◽  
Plant Growth And Development ◽  
Element Analysis ◽  
Genome Wide ◽  
Genes Expression

The Ethylene-Response Factor (ERF) subfamily transcription factors (TFs) belong to the APETALA2/Ethylene-Responsive Factor (AP2/ERF) superfamily and play a vital role in plant growth and development. However, identification and analysis of the ERF subfamily genes in maize have not yet been performed at genome-wide level. In this study, a total of 76 ERF subfamily TFs were identified and were found to be unevenly distributed on the maize chromosomes. These maize ERF (ZmERF) TFs were classified into six groups, namely groups B1 to B6, based on phylogenetic analysis. Synteny analysis showed that 50, 54, and 58 of the ZmERF genes were orthologous to those in rice, Brachypodium, and Sorghum, respectively. Cis-element analysis showed that elements related to plant growth and development, hormones, and abiotic stress were identified in the promoter region of ZmERF genes. Expression profiles suggested that ZmERF genes might participate in plant development and in response to salinity and drought stresses. Our findings lay a foundation and provide clues for understanding the biological functions of ERF TFs in maize.

scholarly journals The Conserved Effector UvHrip1 Interacts with OsHGW and Infection of Ustilaginoidea virens Regulates Defense- and Heading Date-Related Signaling Pathway

2020 ◽  
Vol 21 (9) ◽  
pp. 3376
Author(s):  
Songhong Wei ◽  
Yingling Wang ◽  
Jianming Zhou ◽  
Shibo Xiang ◽  
Wenxian Sun ◽  
...  
Keyword(s):  
Fusion Protein ◽  
Virulence Factors ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Heading Date ◽  
Ustilaginoidea Virens ◽  
Bifc Assay ◽  
Gfp Fusion Protein ◽  
False Smut ◽  
Insight Into

Ustilaginoidea virens, which causes rice false smut (RFS), is one of the most detrimental rice fungal diseases and poses a severe threat to rice production and quality. Effectors in U. virens often act as a group of essential virulence factors that play crucial roles in the interaction between host and the pathogen. Thus, the functions of individual effectors in U. virens need to be further explored. Here, we demonstrated a small secreted hypersensitive response-inducing protein (hrip), named UvHrip1, which was highly conserved in U. virens isolates. UvHrip1 was also proven to suppress necrosis-like defense symptoms in N. benthamiana induced by the oomycete elicitor INF1. The localization of UvHrip1 was mainly in the nuclei and cytoplasm via monitoring the UvHrip1-GFP fusion protein in rice cells. Furthermore, Y2H and BiFC assay demonstrated that UvHrip1 interacted with OsHGW, which is a critical regulator in heading date and grain weight signaling pathways in rice. Expression patterns of defense- and heading date-related genes, OsPR1#051 and OsMYB21, were down-regulated over U. virens infection in rice. Collectively, our data provide a theory for gaining an insight into the molecular mechanisms underlying the UvHrip1 virulence function.

scholarly journals Construction and application of a co-expression network in Mycobacterium tuberculosis

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Jun Jiang ◽  
Xian Sun ◽  
Wei Wu ◽  
Li Li ◽  
Hai Wu ◽  
...  
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Transcription Factors ◽  
Correlation Coefficients ◽  
Hypoxic Condition ◽  
Expression Levels ◽  
Transcriptional Regulatory ◽  
Validation Experiment ◽  
Gene Correlation ◽  
Transcriptional Regulatory Mechanisms ◽  
Different Response

Abstract Because of its high pathogenicity and infectivity, tuberculosis is a serious threat to human health. Some information about the functions of the genes in Mycobacterium tuberculosis genome was currently available, but it was not enough to explore transcriptional regulatory mechanisms. Here, we applied the WGCNA (Weighted Gene Correlation Network Analysis) algorithm to mine pooled microarray datasets for the M. tuberculosis H37Rv strain. We constructed a co-expression network that was subdivided into 78 co-expression gene modules. The different response to two kinds of vitro models (a constant 0.2% oxygen hypoxia model and a Wayne model) were explained based on these modules. We identified potential transcription factors based on high Pearson’s correlation coefficients between the modules and genes. Three modules that may be associated with hypoxic stimulation were identified, and their potential transcription factors were predicted. In the validation experiment, we determined the expression levels of genes in the modules under hypoxic condition and under overexpression of potential transcription factors (Rv0081, furA (Rv1909c), Rv0324, Rv3334, and Rv3833). The experimental results showed that the three identified modules related to hypoxia and that the overexpression of transcription factors could significantly change the expression levels of genes in the corresponding modules.

scholarly journals Transcriptome signature of E. coli under a prolonged starvation environment

2020 ◽  
Author(s):  
Sotaro Takano ◽  
Hiromi Takahashi ◽  
Yoshie Yama ◽  
Ryo Miyazaki ◽  
Saburo Tsuru
Keyword(s):  
Stationary Phase ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Physiological State ◽  
Exponential Growth Phase ◽  
Transcriptional Responses ◽  
E Coli ◽  
Viable Cells ◽  
Genome Wide

ABSTRACTBackground“Non-growing” is a dominant life form of microorganisms in nature, where available nutrients and resources are extremely limited. However, the knowledge of the manner in which microorganisms resist nutrient deficiency is still rudimentary compared to those of the growing cells. In laboratory culture, Escherichia coli can survive for several years under starvation, denoted as long-term stationary phase (LSP), where a small fraction of the cells survive by recycling resources released from the starved nonviable cells and constitute a model system for understanding survival mechanisms under long-term starvation. Although the physiology by which viable cells in LSP adapt to long-term starvation is of great interest, their genome-wide response has not yet been fully understood.ResultsTo understand the physiological state of viable cells in the LSP environment, we analyzed the transcriptional profiles of cells exposed to the supernatant of LSP culture. We found that high expression of transporter genes and low expression of biosynthesis genes are the primary responses of the cells in the LSP supernatant compared to growing cells, which display similar responses to cells entering the stationary phase from the exponential growth phase. We also revealed some specific transcriptional responses in the LSP supernatant, such as higher expression of stress-response genes and lower expression of translation-related genes, compared to other non-growing conditions. This suggests that cells in LSP are highly efficient in terms of cellular survival and maintenance functions under starvation conditions. We also found population-density-dependent gene expression profiles in LSP, which are also informative to understand the survival mechanism of bacterial population.ConclusionOur current comprehensive analysis of the transcriptome of E. coli cells provides an overview of the genome-wide response to the long-term starvation environment. We detected both common and distinctive responses in the primary transcriptional changes between the short- and long-term stationary phase cultures, which could provide clues to understand the possible molecular mechanisms underlying survivability in the starved environment.

scholarly journals Genome-wide investigation of microRNAs and expression profiles during rhizome development in ginger (Zingiber officinale Roscoe)

BMC Genomics ◽  
2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Haitao Xing ◽  
Yuan Li ◽  
Yun Ren ◽  
Ying Zhao ◽  
Xiaoli Wu ◽  
...  
Keyword(s):  
Mirna Target ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Qrt Pcr ◽  
Putative Target ◽  
Genome Wide ◽  
Ginger Rhizome ◽  
Rhizome Development

Abstract Background MicroRNAs (miRNAs) are endogenous, non-coding small functional RNAs that govern the post-transcriptional regulatory system of gene expression and control the growth and development of plants. Ginger is an herb that is well-known for its flavor and medicinal properties. The genes involved in ginger rhizome development and secondary metabolism have been discovered, but the genome-wide identification of miRNAs and their overall expression profiles and targets during ginger rhizome development are largely unknown. In this study, we used BGISEQ-500 technology to perform genome-wide identification of miRNAs from the leaf, stem, root, flower, and rhizome of ginger during three development stages. Results In total, 104 novel miRNAs and 160 conserved miRNAs in 28 miRNA families were identified. A total of 181 putative target genes for novel miRNAs and 2772 putative target genes for conserved miRNAs were predicted. Transcriptional factors were the most abundant target genes of miRNAs, and 17, 9, 8, 4, 13, 8, 3 conserved miRNAs and 5, 7, 4, 5, 5, 15, 9 novel miRNAs showed significant tissue-specific expression patterns in leaf, stem, root, flower, and rhizome. Additionally, 53 miRNAs were regarded as rhizome development-associated miRNAs, which mostly participate in metabolism, signal transduction, transport, and catabolism, suggesting that these miRNAs and their target genes play important roles in the rhizome development of ginger. Twelve candidate miRNA target genes were selected, and then, their credibility was confirmed using qRT-PCR. As the result of qRT-PCR analysis, the expression of 12 candidate target genes showed an opposite pattern after comparison with their miRNAs. The rhizome development system of ginger was observed to be governed by miR156, miR319, miR171a_2, miR164, and miR529, which modulated the expression of the SPL, MYB, GRF, SCL, and NAC genes, respectively. Conclusion This is a deep genome-wide investigation of miRNA and identification of miRNAs involved in rhizome development in ginger. We identified 52 rhizome-related miRNAs and 392 target genes, and this provides an important basis for understanding the molecular mechanisms of the miRNA target genes that mediate rhizome development in ginger.

scholarly journals The pregnant myometrium is epigenetically activated at contractility-driving gene loci prior to the onset of labor in mice

2020 ◽  
Author(s):  
Virlana M. Shchuka ◽  
Luis E. Abatti ◽  
Huayun Hou ◽  
Anna Dorogin ◽  
Michael D. Wilson ◽  
...  
Keyword(s):  
Rna Polymerase Ii ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Post Partum ◽  
Gene Expression Profiles ◽  
Enhancer Rna ◽  
Genome Wide ◽  
Active Labor ◽  
Histone H3k27 ◽  
Chromatin Immunoprecipitation Sequencing

AbstractDuring gestation, uterine smooth muscle cells transition from a state of quiescence to one of contractility, but the molecular mechanisms underlying this transition at a genomic level are not well-known. To better understand these events, we evaluated the epigenetic landscape of the mouse myometrium during pregnancy, labor and post-partum. We established gestational timepoint-specific enrichment profiles involving histone H3K27 acetylation (H3K27ac), H3K4 tri-methylation (H3K4me3), and RNA polymerase II (RNAPII) occupancy by chromatin immunoprecipitation sequencing (ChIP-seq), as well as gene expression profiles by total RNA-sequencing (RNA-seq). Our findings reveal that 533 genes, including known contractility-driving genes (Gja1, Fos, Oxtr, Ptgs2), are upregulated during active labor due to an increase in transcription at gene bodies. Their promoters and putative intergenic enhancers, however, are epigenetically activated by H3K27ac as early as day 15, four days prior to the onset of active labor on day 19. In fact, we find that the majority of genome-wide H3K27ac or H3K4me3 peaks identified during active labor are present in the myometrium on day 15. Despite the early presence of H3K27ac at labor-associated genes, both an increase in non-coding enhancer RNA (eRNA) production, and in recruitment of RNAPII to corresponding genes occur during active labor, at labor upregulated gene loci. Our findings indicate that epigenetic activation of the myometrial genome precedes active labor by at least four days in the mouse model, suggesting the myometrium is poised for rapid activation of contraction-associated genes in order to exit the state of quiescence.

scholarly journals Genome-wide investigation of the AP2/ERF gene family in  ginger: evolution and expression profiles during rhizome and inflorescence development

2021 ◽  
Author(s):  
Haitao Xing ◽  
Yusong Jiang ◽  
Xiaoling Long ◽  
Xiaoli Wu ◽  
Yun Ren ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Whole Genome Sequence ◽  
Chromosomal Distribution ◽  
Inflorescence Development ◽  
Systematic Analysis ◽  
Genome Wide ◽  
A Genome ◽  
Erf Transcription Factors

Abstract Background:AP2/ERF transcription factors perform indispensable functions in various biological processes, such as plant growth, development, biotic and abiotic stresses responses. The AP2/ERF transcription factor family has been identified in many plants, and several AP2/ERF transcription factors from Arabidopsis (Arabidopsis thaliana) have been functionally characterized. However, little research has been conducted on the AP2/ERF genes of ginger (Zingiber officinale), which is an important edible and medicinal horticultural plant. The recently published whole genome sequence of ginger allowed us to study the tissue and expression profiles of AP2/ERF genes in ginger on a genome-wide basis.Results:In this study, 163 AP2/ERF genes of ginger (ZoAP2/ERF) were identified and renamed according to the chromosomal distribution of the ZoAP2/ERF genes. According to the number conserved domains and gene structure, the AP2/ERF genes were divided into three subfamilies by phylogenetic analysis, namely, AP2 (35 members), ERF (125 members) and RAV (3 members). A total of 10 motifs were detected in ginger AP2/ERF genes, and some of the unique motifs were found to be important for the function of ZoAP2/ERF genes.Conclusion:A comprehensive analysis of AP2/ERF gene expression patterns in different tissues and rhizome development stages by transcriptom sequence and quantitative real-time PCR (qRT-PCR) showed that they played an important role in the growth and development of ginger, and genes that might regulate rhizome and flower development were preliminarily identified. This systematic analysis establishes a foundation for further studies of the functional characteristics of ZoAP2/ERF genes and improvement of ginger.

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