scholarly journals Transcriptome Analysis of Lateral Roots Development in Aconitum Carmichaelii

2021 ◽  
Author(s):  
Luojing Zhou ◽  
Sha Zhong ◽  
Yuxin Fan ◽  
Yanpeng Yin ◽  
Jihai Gao ◽  
...  
Keyword(s):  
Metabolic Pathways ◽  
Plant Hormone ◽  
Lateral Roots ◽  
Point Of View ◽  
Functional Enrichment ◽  
Regulation Mechanism ◽  
Illumina Hiseq ◽  
Function Annotation ◽  
Kegg Analysis ◽  
Aconitum Carmichaelii

Abstract Background: Fuzi is a processed product of the lateral root of Aconitum carmichaelii Debx, a plant of the Ranunculaceae, and has been used to treat various diseases. This study used Illumina Hiseq High-throughput platform to sequence, assemble and annotate, screen development related genes, transcription pathways and functional enrichment in true root, lateral roots and “bridge”, and analyzed their correlations with the formation and development of lateral roots of A.carmichaelii, which can reveal the process and regulation mechanism of lateral roots growth and maturation of A. carmichaelii. Results: By sequencing, a total of 66.13Gb clean data and 28,982 unigenes with function annotation were finally obtained, with N50 of 1,627 bp, and 12,833 genes were assigned to 130 specific metabolic pathways by Kyoto Encyclopedia of Genes and Genomes (KEGG), then 2,599 were significantly differentially expressed. The KEGG analysis of the DEGs revealed that it was mainly enriched in starch and sucrose metabolism, ribosome, carbon metabolism, plant hormone signal transduction which play an important role in the expansion of lateral roots. The DEGs and pathways indicated that there was little differences between true root and “bridge”, while a big difference between them and lateral roots. The DEGs of auxin, cytokinin and other pathways may be conducive to the formation of lateral roots, which explained the development mechanism of lateral roots from a molecular point of view. Conclusions: This study provides a reference for the study of cultivation and management of lateral roots of A. carmichaelii.

scholarly journals Transcriptomic Analysis of Rice Plants Overexpressing PsGAPDH in Response to Salinity Stress

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 641
Author(s):  
Hyemin Lim ◽  
Hyunju Hwang ◽  
Taelim Kim ◽  
Soyoung Kim ◽  
Hoyong Chung ◽  
...  
Keyword(s):  
Salt Stress ◽  
Abiotic Stress ◽  
Salinity Stress ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Pathway Enrichment Analysis ◽  
Sequencing Data ◽  
Illumina Hiseq ◽  
Rice Plants ◽  
Significant Difference

In plants, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) is a main enzyme in the glycolytic pathway. It plays an essential role in glycerolipid metabolism and response to various stresses. To examine the function of PsGAPDH (Pleurotus sajor-caju GAPDH) in response to abiotic stress, we generated transgenic rice plants with single-copy/intergenic/homozygous overexpression PsGAPDH (PsGAPDH-OX) and investigated their responses to salinity stress. Seedling growth and germination rates of PsGAPDH-OX were significantly increased under salt stress conditions compared to those of the wild type. To elucidate the role of PsGAPDH-OX in salt stress tolerance of rice, an Illumina HiSeq 2000 platform was used to analyze transcriptome profiles of leaves under salt stress. Analysis results of sequencing data showed that 1124 transcripts were differentially expressed. Using the list of differentially expressed genes (DEGs), functional enrichment analyses of DEGs such as Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were performed. KEGG pathway enrichment analysis revealed that unigenes exhibiting differential expression were involved in starch and sucrose metabolism. Interestingly, trehalose-6-phosphate synthase (TPS) genes, of which expression was enhanced by abiotic stress, showed a significant difference in PsGAPDH-OX. Findings of this study suggest that PsGAPDH plays a role in the adaptation of rice plants to salt stress.

Abstract P625: Non-coding Rna Regulation Of Gene Expression In Angiotensin Ii-induced Vascular Damage

Hypertension ◽  
2015 ◽  
Vol 66 (suppl_1) ◽  
Author(s):  
Kugeng Huo ◽  
Tlili Barhoumi ◽  
Júlio C Fraulob-Aquino ◽  
Chantal Richer ◽  
Mathieu Lajoie ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differential Expression Analysis ◽  
Regulation Of Gene Expression ◽  
Vascular Damage ◽  
Mesenteric Arteries ◽  
Functional Enrichment ◽  
Molecular Networks ◽  
Mirna Cluster ◽  
Ang Ii ◽  
Illumina Hiseq

Introduction: Non-coding RNAs (ncRNAs), including long ncRNAs (lncRNAs) and microRNAs (miRs), account for ~98% of the transcribed RNAs. They have been shown to play a role in cardiovascular disease. Vascular damage is an early manifestation and a cause of end-organ damage in hypertension. However, it is unknown whether ncRNAs are involved in the development of vascular injury in hypertension. We hypothesize that ncRNA regulation participates in mechanisms of vascular remodeling and plays an important role in the pathophysiology of hypertension. Methods and Results: Ten-week old male C57BL/6 mice were infused or not with angiotensin (Ang) II for 14 days. Systolic blood pressure (BP) determined by telemetry was increased by Ang II infusion compared to control (146±8 vs 113±5 mmHg, P<0.001). Total RNA was extracted from mesenteric arteries for total and small RNA deep sequencing using Illumina HiSeq-2500. Sequences were aligned to the mm10 genome with STAR, annotated and counted using HTSeq-count or miRDeep2. Differential expression analysis was done in R. Differentially expressed (DE) mRNAs (550 up & 266 down), lncRNAs (7 up & 42 down), miRs (23 up & 12 down) were identified in the Ang II-treated group (1.5 fold change, q<0.05). Targetscan was used to predict interactions between DE miRs and the inversely correlated DE mRNAs or DE lncRNAs. MEME Suite was used to predict DE transcription factor binding sites in the promoter region of genes encoding DE mRNAs, lncRNAs and miRs. Cytoscape was used to construct molecular networks integrating the above interactions and the gene expression profile and to perform functional enrichment analysis, which revealed enrichment of extracellular matrix and developmental processes in DE miR-targeting DE mRNAs (q<1E-20). Ten DE miRNAs whose expression levels correlated (P<0.05) with BP were identified, 9 of which are located in a single miRNA cluster that is conserved in humans. Conclusions: We have identified a conserved miRNA cluster that may play a pivotal role in the regulation of vascular damage in hypertension. A sub-network of genes that participates in the interaction between the miRNA cluster and other BP-correlated RNAs was selected for future investigation to identify therapeutic targets.

scholarly journals Prognostic Significance of SQSTM1 in Breast Cancer: A Comprehensive Analysis

2020 ◽  
Author(s):  
Yang Liu ◽  
Qian Du ◽  
Dan Sun ◽  
Ruiying Han ◽  
Mengmeng Teng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Somatic Mutation ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Functional Enrichment ◽  
Regulation Mechanism ◽  
Breast Cancer Patients ◽  
Gene Set ◽  
Multiple Datasets

Abstract Background: SQSTM1 (Sequestosome 1, p62) is degraded by activated autophagy and involved in the progression of in various types of cancers. However, the prognostic role and underlying regulation mechanism of SQSTM1 in the progression and development of breast cancer remain unclear.Methods: In this study, 1336 samples with available mRNA data from Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) database and 27 formalin fixation and paraffin embedding (FFPE) tissue samples from the First Affiliated Hospital of Xi’an Jiaotong University were collected to evaluate SQSTM1 expression in mRNA and protein levels. Kaplan–Meier and Cox regression were used for revealing prognostic value in three independent breast cancer independent datasets. Tumor Immune Estimation Resource (TIMER) database and Gene Set Variation Analysis (GSVA) was used to explore the relationship of SQSTM1 mRNA expression and immune infiltration level in breast cancer. Dysregulation mechanisms of SQSTM1 were also explored including copy number variation (CNV), somatic mutation, epigenetic alterations and other transcription and post-transcription level using multiple datasets. Finally, Gene Set Enrichment Analysis (GSEA) was constructed to elucidate functional regulating performance of SQSTM1 in breast cancer.Results: The results showed that mRNA and protein level of SQSTM1 were significantly elevated in breast cancer and receiver operating characteristic (ROC) curve showed that p62 may act as diagnostic biomarker. Lower expression of SQSTM1 predicted better outcome through multiple datasets. It was also found that SQSTM1 correlated with immune infiltrates in breast cancer. Moreover, CNV and methylation of SQSTM1 DNA was correlated with SQSTM1 dysregulation and act as prognostic factors for breast cancer patients. Yet, somatic mutation status of SQSTM1 didn’t show any prognostic relevance. We also identified diverse transcription factors that directly bound to SQSTM1 DNA and the miRNAs which may regulate SQSTM1 mRNA. Finally, functional enrichment analysis revealed that SQSTM1 is related to cell signal transduction, oxidative stress and autophagy in breast cancer.Conclusion: Our findings revealed that SQSTM1 plays a key role in the progression of breast cancer and might be a promising biomarker for the diagnosis and personalized treatment of breast cancer patients.

scholarly journals Discrimination of the Geographical Origin of the Lateral Roots of Aconitum carmichaelii Using the Fingerprint, Multicomponent Quantification, and Chemometric Methods

Molecules ◽  
2019 ◽  
Vol 24 (22) ◽  
pp. 4124 ◽  
Author(s):  
Lu-Lin Miao ◽  
Qin-Mei Zhou ◽  
Cheng Peng ◽  
Chun-Wang Meng ◽  
Xiao-Ya Wang ◽  
...  
Keyword(s):  
High Performance ◽  
Geographical Origin ◽  
Lateral Roots ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Similarity Analysis ◽  
Diterpenoid Alkaloids ◽  
Linear Discriminant ◽  
Hplc Fingerprint ◽  
Aconitum Carmichaelii

Fuzi is a well-known traditional Chinese medicine developed from the lateral roots of Aconitum carmichaelii Debx. It is rich in alkaloids that display a wide variety of bioactivities, and it has a strong cardiotoxicity and neurotoxicity. In order to discriminate the geographical origin and evaluate the quality of this medicine, a method based on high-performance liquid chromatography (HPLC) was developed for multicomponent quantification and chemical fingerprint analysis. The measured results of 32 batches of Fuzi from three different regions were evaluated by chemometric analysis, including similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA), and linear discriminant analysis (LDA). The content of six representative alkaloids of Fuzi (benzoylmesaconine, benzoylhypaconine, benzoylaconine, mesaconitine, hypaconitine, and aconitine) were varied by geographical origin, and the content ratios of the benzoylmesaconine/mesaconitine and diester-type/monoester-type diterpenoid alkaloids may be potential traits for classifying the geographical origin of the medicine. In the HPLC fingerprint similarity analysis, the Fuzi from Jiangyou, Sichuan, was distinguished from the Fuzi from Butuo, Sichuan, and the Fuzi from Yunnan. Based on the HCA and PCA analyses of the content of the six representative alkaloids, all of the batches were classified into two categories, which were closely related to the plants’ geographical origins. The Fuzi samples from Jiangyou were placed into one category, while the Fuzi samples from Butuo and Yunnan were put into another category. The LDA analysis provided an efficient and satisfactory prediction model for differentiating the Fuzi samples from the above-mentioned three geographical origins. Thus, the content of the six representative alkaloids and the fingerprint similarity values were useful markers for differentiating the geographical origin of the Fuzi samples.

scholarly journals Time Series RNA-seq in Pigeonpea Revealed the Core Genes in Metabolic Pathways under Aluminum Stress

Genes ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 380 ◽  
Author(s):  
Zhaoxu Gao ◽  
Biying Dong ◽  
Hongyan Cao ◽  
Hang He ◽  
Qing Yang ◽  
...  
Keyword(s):  
Time Series ◽  
Metabolic Pathways ◽  
Expression Patterns ◽  
Plant Stress ◽  
Regulation Mechanism ◽  
Rna Seq ◽  
Aluminum Stress ◽  
Biological Regulation ◽  
Al Stress ◽  
The Impact

Pigeonpea is an important economic crop in the world and is mainly distributed in tropical and subtropical regions. In order to further expand the scope of planting, one of the problems that must be solved is the impact of soil acidity on plants in these areas. Based on our previous work, we constructed a time series RNA sequencing (RNA-seq) analysis under aluminum (Al) stress in pigeonpea. Through a comparison analysis, 11,425 genes were found to be differentially expressed among all the time points. After clustering these genes by their expression patterns, 12 clusters were generated. Many important functional pathways were identified by gene ontology (GO) analysis, such as biological regulation, localization, response to stimulus, metabolic process, detoxification, and so on. Further analysis showed that metabolic pathways played an important role in the response of Al stress. Thirteen out of the 23 selected genes related to flavonoids and phenols were downregulated in response to Al stress. In addition, we verified these key genes of flavonoid- and phenol-related metabolism pathways by qRT-PCR. Collectively, our findings not only revealed the regulation mechanism of pigeonpea under Al stress but also provided methodological support for further exploration of plant stress regulation mechanisms.

Aromatic acid derivatives from the lateral roots of Aconitum carmichaelii

2014 ◽  
Vol 16 (9) ◽  
pp. 891-900 ◽  
Author(s):  
Zhi-Bo Jiang ◽  
Bing-Ya Jiang ◽  
Cheng-Gen Zhu ◽  
Qing-Lan Guo ◽  
Ying Peng ◽  
...  
Keyword(s):  
Lateral Roots ◽  
Aromatic Acid ◽  
Aconitum Carmichaelii

scholarly journals Transcriptome analysis and differential gene expression profiling of two contrasting quinoa genotypes in response to salt stress

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Pibiao Shi ◽  
Minfeng Gu
Keyword(s):  
Gene Expression ◽  
Signal Transduction ◽  
Salt Stress ◽  
Salt Tolerance ◽  
Candidate Genes ◽  
Transcriptome Analysis ◽  
Plant Hormone ◽  
Stress Factors ◽  
Soil Conditions ◽  
Regulation Mechanism

Abstract Background Soil salinity is one of the major abiotic stress factors that affect crop growth and yield, which seriously restricts the sustainable development of agriculture. Quinoa is considered as one of the most promising crops in the future for its high nutrition value and strong adaptability to extreme weather and soil conditions. However, the molecular mechanisms underlying the adaptive response to salinity stress of quinoa remain poorly understood. To identify candidate genes related to salt tolerance, we performed reference-guided assembly and compared the gene expression in roots treated with 300 mM NaCl for 0, 0.5, 2, and 24 h of two contrasting quinoa genotypes differing in salt tolerance. Results The salt-tolerant (ST) genotype displayed higher seed germination rate and plant survival rate, and stronger seedling growth potential as well than the salt-sensitive (SS) genotype under salt stress. An average of 38,510,203 high-quality clean reads were generated. Significant Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified to deeper understand the differential response. Transcriptome analysis indicated that salt-responsive genes in quinoa were mainly related to biosynthesis of secondary metabolites, alpha-Linolenic acid metabolism, plant hormone signal transduction, and metabolic pathways. Moreover, several pathways were significantly enriched amongst the differentially expressed genes (DEGs) in ST genotypes, such as phenylpropanoid biosynthesis, plant-pathogen interaction, isoquinoline alkaloid biosynthesis, and tyrosine metabolism. One hundred seventeen DEGs were common to various stages of both genotypes, identified as core salt-responsive genes, including some transcription factor members, like MYB, WRKY and NAC, and some plant hormone signal transduction related genes, like PYL, PP2C and TIFY10A, which play an important role in the adaptation to salt conditions of this species. The expression patterns of 21 DEGs were detected by quantitative real-time PCR (qRT-PCR) and confirmed the reliability of the RNA-Seq results. Conclusions We identified candidate genes involved in salt tolerance in quinoa, as well as some DEGs exclusively expressed in ST genotype. The DEGs common to both genotypes under salt stress may be the key genes for quinoa to adapt to salinity environment. These candidate genes regulate salt tolerance primarily by participating in reactive oxygen species (ROS) scavenging system, protein kinases biosynthesis, plant hormone signal transduction and other important biological processes. These findings provide theoretical basis for further understanding the regulation mechanism underlying salt tolerance network of quinoa, as well establish foundation for improving its tolerance to salinity in future breeding programs.

THE STATE EMPLOYMENT REGULATION MECHANISMS

2016 ◽  
Vol 10 (6) ◽  
pp. 90-100
Author(s):  
Наталья Белохвостова ◽  
Natalya Belokhvostova
Keyword(s):  
Social Protection ◽  
The State ◽  
Point Of View ◽  
Regulation Mechanism ◽  
Employment Policy ◽  
Promotion Policy ◽  
State Involvement ◽  
State Employment ◽  
Regulation Mechanisms ◽  
Sound Management

The work defines goals and objectives of state employment policy at the present stage of economic development characterized by crisis phenomena. The author presents main types of state employment policy and identifies main characteristics and the content of active, passive and moderately passive policy types. The author also carries out the systematization of bodies’ activity of state employment management and highlights the main directions of state employment policy. The article shows the features of the distribution of powers and functions among the employment bodies at Federal, regional and municipal levels. The state employment regulation mechanism is characterized from the point of view of application of different management methods. Economic, organizational, administrative and legislative methods to regulate the employment in a crisis have to adapt to the new conditions. There is a need for improving existing regulatory mechanisms of the labour market and for the development of new ones that meet constantly changing conditions. State involvement should be reflected in the extension of the tools of active employment promotion policy. Special attention should be given to the development of regional target programs to support industry, social protection of the population in the sphere of counteraction to mass redundancies and to ensure sound management of the processes of re-training, reduction of long-term unemployment, the increasing unemployment payouts, and, of course, support small business. This article presents the dynamics of unemployment and the budgetary appropriation for the employment regulation in 2015, which allows to make a conclusion about insufficiency of financing of this direction of state activity and the need to identify hidden reserves to increase the efficiency of the employment management mechanism.

scholarly journals Prognostic Significance of SQSTM1 in Breast Cancer: A Comprehensive Analysis

2020 ◽  
Author(s):  
Yang Liu ◽  
Qian Du ◽  
Dan Sun ◽  
Ruiying Han ◽  
Mengmeng Teng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Somatic Mutation ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Functional Enrichment ◽  
Regulation Mechanism ◽  
Breast Cancer Patients ◽  
Gene Set ◽  
Multiple Datasets

Abstract Background: SQSTM1 (Sequestosome 1, p62) is degraded by activated autophagy and involved in the progression of in various types of cancers. However, the prognostic role and underlying regulation mechanism of SQSTM1 in the progression and development of breast cancer remain unclear.Methods: In this study, 1336 samples with available mRNA data from Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) database and 27 formalin fixation and paraffin embedding (FFPE) tissue samples from the First Affiliated Hospital of Xi’an Jiaotong University were collected to evaluate SQSTM1 expression in mRNA and protein levels. Kaplan–Meier and Cox regression were used for revealing prognostic value in three independent breast cancer independent datasets. Tumor Immune Estimation Resource (TIMER) database and Gene Set Variation Analysis (GSVA) was used to explore the relationship of SQSTM1 mRNA expression and immune infiltration level in breast cancer. Dysregulation mechanisms of SQSTM1 were also explored including copy number variation (CNV), somatic mutation, epigenetic alterations and other transcription and post-transcription level using multiple datasets. Finally, Gene Set Enrichment Analysis (GSEA) was constructed to elucidate functional regulating performance of SQSTM1 in breast cancer.Results: The results showed that mRNA and protein level of SQSTM1 were significantly elevated in breast cancer and receiver operating characteristic (ROC) curve showed that p62 may act as diagnostic biomarker. Lower expression of SQSTM1 predicted better outcome through multiple datasets. It was also found that SQSTM1 correlated with immune infiltrates in breast cancer. Moreover, CNV and methylation of SQSTM1 DNA was correlated with SQSTM1 dysregulation and act as prognostic factors for breast cancer patients. Yet, somatic mutation status of SQSTM1 didn’t show any prognostic relevance. We also identified diverse transcription factors that directly bound to SQSTM1 DNA and the miRNAs which may regulate SQSTM1 mRNA. Finally, functional enrichment analysis revealed that SQSTM1 is related to cell signal transduction, oxidative stress and autophagy in breast cancer.Conclusion: Our findings revealed that overexpression of SQSTM1 significantly to poor survival and immune infiltrations in breast cancer. In addition, SQSTM1 plays a key role in the progression of breast cancer and might be a promising biomarker for the diagnosis and personalized treatment of breast cancer patients.

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