scholarly journals Transcriptomic Analysis of Dark-Induced Senescence in Bermudagrass (Cynodon dactylon)

Plants ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 614
Author(s):  
Jibiao Fan ◽  
Yanhong Lou ◽  
Haiyan Shi ◽  
Liang Chen ◽  
Liwen Cao
Keyword(s):  
Leaf Senescence ◽  
Plant Hormone ◽  
Bioinformatics Analysis ◽  
Cynodon Dactylon ◽  
Differential Expression Analysis ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Aesthetic Quality ◽  
Qrt Pcr

Leaf senescence induced by prolonged light deficiency is inevitable whenever turfgrass is cultivated in forests, and this negatively influences the survival and aesthetic quality of the turfgrass. However, the mechanism underlying dark-induced senescence in turfgrass remained obscure. In this study, RNA sequencing was performed to analyze how genes were regulated in response to dark-induced leaf senescence in bermudagrass. A total of 159,207 unigenes were obtained with a mean length of 948 bp. The differential expression analysis showed that a total of 59,062 genes, including 52,382 up-regulated genes and 6680 down-regulated genes were found to be differentially expressed between control leaves and senescent leaves induced by darkness. Subsequent bioinformatics analysis showed that these differentially expressed genes (DEGs) were mainly related to plant hormone (ethylene, abscisic acid, jasmonic acid, auxin, cytokinin, gibberellin, and brassinosteroid) signal transduction, N-glycan biosynthesis, and protein processing in the endoplasmic reticulum. In addition, transcription factors, such as WRKY, NAC, HSF, and bHLH families were also responsive to dark-induced leaf senescence in bermudagrass. Finally, qRT-PCR analysis of six randomly selected DEGs validated the accuracy of sequencing results. Taken together, our results provide basic information of how genes respond to darkness, and contribute to the understanding of comprehensive mechanisms of dark-induced leaf senescence in turfgrass.

scholarly journals ITRAQ-based quantitative proteomic analysis of Fusarium moniliforme (Fusarium verticillioides) in response to Phloridzin inducers

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Rong Zhang ◽  
Weitao Jiang ◽  
Xin Liu ◽  
Yanan Duan ◽  
Li Xiang ◽  
...  
Keyword(s):  
Fusarium Moniliforme ◽  
Abiotic Factors ◽  
Fusarium Verticillioides ◽  
Protein Profile ◽  
Sugar Metabolism ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Differentially Expressed Proteins ◽  
Apple Replant Disease ◽  
Qrt Pcr

Abstract Background Apple replant disease (ARD) has been reported from all major fruit-growing regions of the world, and is often caused by biotic factors (pathogen fungi) and abiotic factors (phenolic compounds). In order to clarify the proteomic differences of Fusarium moniliforme under the action of phloridzin, and to explore the potential mechanism of F. moniliforme as the pathogen of ARD, the role of Fusarium spp. in ARD was further clarified. Methods In this paper, the quantitative proteomics method iTRAQ analysis technology was used to analyze the proteomic differences of F. moniliforme before and after phloridzin treatment. The differentially expressed protein was validated by qRT-PCR analysis. Results A total of 4535 proteins were detected, and 293 proteins were found with more than 1.2 times (P< 0.05) differences. In-depth data analysis revealed that 59 proteins were found with more than 1.5 times (P< 0.05) differences, and most proteins were consistent with the result of qRT-PCR. Differentially expressed proteins were influenced a variety of cellular processes, particularly metabolic processes. Among these metabolic pathways, a total of 8 significantly enriched KEGG pathways were identified with at least 2 affiliated proteins with different abundance in conidia and mycelium. Functional pathway analysis indicated that up-regulated proteins were mainly distributed in amino sugar, nucleotide sugar metabolism, glycolysis/ gluconeogenesis and phagosome pathways. Conclusions This study is the first to perform quantitative proteomic investigation by iTRAQ labeling and LC-MS/MS to identify differentially expressed proteins in F. moniliforme under phloridzin conditions. The results confirmed that F. moniliforme presented a unique protein profile that indicated the adaptive mechanisms of this species to phloridzin environments. The results deepened our understanding of the proteome in F. moniliforme in response to phloridzin inducers and provide a basis for further exploration for improving the efficiency of the fungi as biocontrol agents to control ARD.

scholarly journals Small Non-Coding RNAome of Ageing Chondrocytes

2020 ◽  
Vol 21 (16) ◽  
pp. 5675
Author(s):  
Panagiotis Balaskas ◽  
Jonathan A. Green ◽  
Tariq M. Haqqi ◽  
Philip Dyer ◽  
Yalda A. Kharaz ◽  
...  
Keyword(s):  
Quantitative Polymerase Chain Reaction ◽  
Differential Expression Analysis ◽  
Cartilage Tissue ◽  
Pcr Analysis ◽  
Small Rna Sequencing ◽  
High Grade ◽  
Human Cartilage ◽  
Fragment Analysis ◽  
Qrt Pcr ◽  
Age Related

Ageing is a leading risk factor predisposing cartilage to osteoarthritis. However, little research has been conducted on the effect of ageing on the expression of small non-coding RNAs (sncRNAs). RNA from young and old chondrocytes from macroscopically normal equine metacarpophalangeal joints was extracted and subjected to small RNA sequencing (RNA-seq). Differential expression analysis was performed in R using package DESeq2. For transfer RNA (tRNA) fragment analysis, tRNA reads were aligned to horse tRNA sequences using Bowtie2 version 2.2.5. Selected microRNA (miRNAs or miRs) and small nucleolar RNA (snoRNA) findings were validated using real-time quantitative Polymerase Chain Reaction (qRT-PCR) in an extended cohort of equine chondrocytes. tRNA fragments were further investigated in low- and high-grade OA human cartilage tissue. In total, 83 sncRNAs were differentially expressed between young and old equine chondrocytes, including miRNAs, snoRNAs, small nuclear RNAs (snRNAs), and tRNAs. qRT-PCR analysis confirmed findings. tRNA fragment analysis revealed that tRNA halves (tiRNAs), tiRNA-5035-GluCTC and tiRNA-5031-GluCTC-1 were reduced in both high grade OA human cartilage and old equine chondrocytes. For the first time, we have measured the effect of ageing on the expression of sncRNAs in equine chondrocytes. Changes were detected in a number of different sncRNA species. This study supports a role for sncRNAs in ageing cartilage and their potential involvement in age-related cartilage diseases.

scholarly journals Circular RNA Expression Profiling Identifies Prostate Cancer- Specific circRNAs in Prostate Cancer

2018 ◽  
Vol 50 (5) ◽  
pp. 1903-1915 ◽  
Author(s):  
Qianlin Xia ◽  
Tao Ding ◽  
Guihong Zhang ◽  
Zehuan Li ◽  
Ling Zeng ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Polymerase Chain Reaction Analysis ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
High Morbidity ◽  
Qrt Pcr ◽  
Diagnosis And Prognosis ◽  
Novel Biomarkers ◽  
Rna Expression Profiling

Background/Aims: Prostate cancer (PCa) is one of the main cancers that damage males’ health severely with high morbidity and mortality, but there is still no ideal molecular marker for the diagnosis and prognosis of prostate cancer. Methods: To determine whether the differentially expressed circRNAs in prostate cancer can serve as novel biomarkers for prostate cancer diagnosis, we screened differentially expressed circRNAs using SBC-ceRNA array in 4 pairs of prostate tumor and paracancerous tissues. A circRNA-miRNA-mRNA regulatory network for the differential circRNAs and their host genes was constructed by Cytoscape3.5.1 software. Quantitative real-time polymerase chain reaction analysis (qRT-PCR) was performed to confirm the microarray data. Results: We found 1021 differentially expressed circRNAs in PCa tumor using SBC-ceRNA array and confirmed the expression of circ_0057558, circ_0062019 and SLC19A1 in PCa cell lines and tumor tissues through qRT-PCR analysis. We demonstrated that combination of PSA level and two differentially expressed circRNAs showed significantly increased AUC, sensitivity and specificity (0.938, 84.5% and 90.9%, respectively) than PSA alone (AUC of serum PSA was 0.854). Moreover, circ_0057558 was correlated positively with total cholesterol. The functional network of circRNA-miRNA-mRNA analysis showed that circ_0057558 and circ_0034467 regulated miR-6884, and circ_0062019 and circ_0060325 regulated miR-5008. Conclusion: Our results demonstrated that differentially expressed circRNAs (circ_0062019 and circ_0057558) and host gene SLC19A1 of circ_0062019 could be used as potential novel biomarkers for prostate cancer.

scholarly journals Transcriptome Analysis of Aedes aegypti Aag2 Cells in Response to Dengue Virus-2 Infection

2020 ◽  
Author(s):  
Man-jin Li ◽  
Ce-jie Lan ◽  
He-ting Gao ◽  
Dan Xing ◽  
Zhen-yu Gu ◽  
...  
Keyword(s):  
Aedes Aegypti ◽  
Dengue Virus ◽  
Cell Line ◽  
Differentially Expressed Genes ◽  
Transcriptome Analysis ◽  
Bioinformatics Analysis ◽  
Differentially Expressed ◽  
Control Group ◽  
Sequencing Data ◽  
Qrt Pcr

Abstract Background: Dengue virus (DENV) is a flavivirus transmitted by mosquitoes that is prevalent in tropical and subtropical countries and has four serotypes (DENV1-4). Aedes aegypti, as the main transmission vector of DENV, exhibits strong infectivity and transmission. With the aim of obtaining a better understanding of the Ae. aegypti-DENV interaction, the transcriptome changes in DENV-2-infected Aag2 cells were studied to describe the immune responses of mosquitoes using the Ae. aegypti Aag2 cell line as a model.Methods: RNAseq technology was used to sequence the transcripts of the Ae. aegypti Aag2 cell line before and after infection with DENV-2. A bioinformatics analysis was then performed to assess the biological functions of the differentially expressed genes, and the sequencing data were verified by quantitative reverse transcription-polymerase chain reaction (qRT-PCR).Results: The transcriptome analysis generated 8866 unigenes that were found in both groups, 225 unigenes that were only found in the infection group, and 683 unigenes that only existed in the control group. A total of 1199 differentially expressed genes, including 1014 upregulated and 185 downregulated genes, were identified. The bioinformatics analysis showed that the differentially expressed genes were mainly involved in the longevity regulating pathway, circadian rhythm, DNA replication, and peroxisome, purine, pyrimidine, and drug metabolism. The qRT-PCR verification results showed the same trend, which confirmed that the expression of the differentially expressed genes had changed and that the transcriptome sequencing data were reliable.Conclusions: This study investigated the changes in the transcriptome levels in the DENV-2-infected Ae. aegypti Aag2 cell line, which provides a faster and effective method for discovering genes related to Ae. aegypti pathogen susceptibility. The findings provide basic data and directions for further research on the complex mechanism underlying host-pathogen interactions.

scholarly journals Physiological Characterization and Transcriptome Analysis of Camellia oleifera Abel. during Leaf Senescence

Forests ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 812
Author(s):  
Shiwen Yang ◽  
Kehao Liang ◽  
Aibin Wang ◽  
Ming Zhang ◽  
Jiangming Qiu ◽  
...  
Keyword(s):  
Molecular Mechanism ◽  
Leaf Senescence ◽  
Transcriptome Analysis ◽  
Unsaturated Fatty Acids ◽  
De Novo ◽  
Transcriptome Assembly ◽  
Economic Value ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Rna Seq

Camellia (C.) oleifera Abel. is an evergreen small arbor with high economic value for producing edible oil that is well known for its high level of unsaturated fatty acids. The yield formation of tea oil extracted from fruit originates from the leaves, so leaf senescence, the final stage of leaf development, is an important agronomic trait affecting the production and quality of tea oil. However, the physiological characteristics and molecular mechanism underlying leaf senescence of C. oleifera are poorly understood. In this study, we performed physiological observation and de novo transcriptome assembly for annual leaves and biennial leaves of C. oleifera. The physiological assays showed that the content of chlorophyll (Chl), soluble protein, and antioxidant enzymes including superoxide dismutase, peroxide dismutase, and catalase in senescing leaves decreased significantly, while the proline and malondialdehyde concentration increased. By analyzing RNA-Seq data, we identified 4645 significantly differentially expressed unigenes (DEGs) in biennial leaves with most associated with flavonoid and phenylpropanoid biosynthesis and phenylalanine metabolism pathways. Among these DEGs, 77 senescence-associated genes (SAGs) including NOL, ATAF1, MDAR, and SAG12 were classified to be related to Chl degradation, plant hormone, and oxidation pathways. The further analysis of the 77 SAGs based on the Spearman correlation algorithm showed that there was a significant expression correlation between these SAGs, suggesting the potential connections between SAGs in jointly regulating leaf senescence. A total of 162 differentially expressed transcription factors (TFs) identified during leaf senescence were mostly distributed in MYB (myeloblastosis), ERF (Ethylene-responsive factor), WRKY, and NAC (NAM, ATAF1/2 and CUCU2) families. In addition, qRT-PCR analysis of 19 putative SAGs were in accordance with the RNA-Seq data, further confirming the reliability and accuracy of the RNA-Seq. Collectively, we provide the first report of the transcriptome analysis of C. oleifera leaves of two kinds of age and a basis for understanding the molecular mechanism of leaf senescence.

Differential Expression Profiles of Long Noncoding RNA and mRNA of Osteogenically Differentiated Mesenchymal Stem Cells in Ankylosing Spondylitis

2016 ◽  
Vol 43 (8) ◽  
pp. 1523-1531 ◽  
Author(s):  
Zhongyu Xie ◽  
Jinteng Li ◽  
Peng Wang ◽  
Yuxi Li ◽  
Xiaohua Wu ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Ankylosing Spondylitis ◽  
Osteogenic Differentiation ◽  
Noncoding Rna ◽  
Bioinformatics Analysis ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Qrt Pcr ◽  
Pcr Assays

Objective.We previously demonstrated that mesenchymal stem cells (MSC) from patients with ankylosing spondylitis (AS; ASMSC) have a greater osteogenic differentiation capacity than MSC from healthy donors (HDMSC) and that this difference underlies the pathogenesis of pathological osteogenesis in AS. Here we compared expression levels of long noncoding RNA (lncRNA) and mRNA between osteogenically differentiated ASMSC and HDMSC and explored the precise mechanism underlying abnormal osteogenic differentiation in ASMSC.Methods.HDMSC and ASMSC were induced with osteogenic differentiation medium for 10 days. Microarray analyses were then performed to identify lncRNA and mRNA differentially expressed between HDMSC and ASMSC, which were then subjected to bioinformatics analysis and confirmed by quantitative real-time PCR (qRT-PCR) assays. In addition, coding-non-coding gene co-expression (CNC) networks were constructed to examine the relationships between the lncRNA and mRNA expression patterns.Results.A total of 520 lncRNA and 665 mRNA were differentially expressed in osteogenically differentiated ASMSC compared with HDMSC. Bioinformatics analysis revealed 64 signaling pathways with significant differences, including transforming growth factor-β signaling. qRT-PCR assays confirmed the reliability of the microarray data. The CNC network indicated that 4 differentially expressed lncRNA, including lnc-ZNF354A-1, lnc-LIN54-1, lnc-FRG2C-3, and lnc-USP50-2 may be involved in the abnormal osteogenic differentiation of ASMSC.Conclusion.Our study characterized the differential lncRNA and mRNA expression profiles of osteogenically differentiated ASMSC and identified 4 lncRNA that may participate in the abnormal osteogenic differentiation of ASMSC. These results provide insight into the pathogenesis of pathological osteogenesis in AS.

scholarly journals Identification of Genes Involved in Low Temperature-Induced Senescence of Panicle Leaf in Litchi chinensis

Genes ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 111
Author(s):  
Congcong Wang ◽  
Hao Liu ◽  
Sheng Yu ◽  
Houbin Chen ◽  
Fuchu Hu ◽  
...  
Keyword(s):  
Low Temperature ◽  
Leaf Senescence ◽  
Molecular Breeding ◽  
Hot Springs ◽  
Floral Development ◽  
Pcr Analysis ◽  
Rna Seq ◽  
Qrt Pcr ◽  
Digital Expression ◽  
Indole 3 Acetic Acid

Warm winters and hot springs may promote panicle leaf growing and repress floral development. To identify genes potentially involved in litchi panicle leaf senescence, eight RNA-sequencing (RNA-Seq) libraries of the senescing panicle leaves under low temperature (LT) conditions and the developing panicle leaves under high temperature (HT) conditions were constructed. For each library, 4.78–8.99 × 106 clean reads were generated. Digital expression of the genes was compared between the senescing and developing panicle leaves. A total of 6477 upregulated differentially expressed genes (DEGs) (from developing leaves to senescing leaves), and 6318 downregulated DEGs were identified, 158 abscisic acid (ABA)-, 68 ethylene-, 107 indole-3-acetic acid (IAA)-, 27 gibberellic acid (GA)-, 68 cytokinin (CTK)-, 37 salicylic acid (SA)-, and 23 brassinolide (BR)-related DEGs. Confirmation of the RNA-Seq data by quantitative real-time PCR (qRT-PCR) analysis suggested that expression trends of the 10 candidate genes using qRT-PCR were similar to those revealed by RNA-Seq, and a significantly positive correlation between the obtained data from qRT-PCR and RNA-Seq were found, indicating the reliability of our RNA-Seq data. The present studies provided potential genes for the future molecular breeding of new cultivars that can induce panicle leaf senescence and reduce floral abortion under warm climates.

scholarly journals Differential Transcription Profiling in Bone Marrow Mononuclear Cells Between Myasthenia Gravis Patients With or Without Thymoma

2021 ◽  
Author(s):  
Jingqun Tang ◽  
Ziming Ye ◽  
Yi Liu ◽  
Mengxiao Zhou ◽  
chao qin
Keyword(s):  
Stem Cells ◽  
Bone Marrow ◽  
Myasthenia Gravis ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Mononuclear Cells ◽  
Differentially Expressed ◽  
Pcr Analysis ◽  
Bone Marrow Mononuclear Cells ◽  
Qrt Pcr

Abstract PurposeDefective stem cells have been recognized as being associated with autoimmune diseases, such as systemic lupus erythematosus, rheumatoid arthritis, autoimmune cytopenias and myasthenia gravis (MG). However, the differential gene expression profile of bone marrow mononuclear cells (BMMCs) and the molecular mechanisms underlying MG pathogenesis have not been fully elucidated. Therefore, we investigated the abnormal expression and potential roles and mechanisms of mRNAs in BMMCs among patients with MG with or without thymoma.MethodsTranscription profiling of BMMCs in patients with MG without thymoma (M2) and patients with thymoma-associated MG (M1) was undertaken by using high-throughput RNA sequencing (RNA-Seq), and disease-related differentially expressed genes were validated by quantitative real-time polymerase chain reaction (qRT-PCR).ResultsRNA-Seq demonstrated 60 significantly upregulated and 65 significantly downregulated genes in M2 compared with M1. Five disease-related differentially expressed genes were identified and validated by qRT-PCR analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to predict the functions of aberrantly expressed genes. Recombination activating 1 (RAG1), RAG2, BCL2-like 11, phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha isoform and repressor element-1-silencing transcription factor might play roles in MG pathogenesis involving the primary immunodeficiency signaling pathway, signaling pathways regulating pluripotency of stem cells and forkhead box O signaling pathway.ConclusionThe aberrantly expressed genes of BMMCs in M1 or M2 patients demonstrate the underlying mechanisms governing the pathogenesis of MG.

scholarly journals Integrated metabolome and transcriptome revealed the flavonoid biosynthetic pathway in developing Vernonia amygdalina leaves

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11239
Author(s):  
Lanya Shui ◽  
Kaisen Huo ◽  
Yan Chen ◽  
Zilin Zhang ◽  
Yanfang Li ◽  
...  
Keyword(s):  
Illumina Sequencing ◽  
Biosynthetic Pathway ◽  
Differential Expression Analysis ◽  
Flavonoid Biosynthesis ◽  
Pcr Analysis ◽  
Vernonia Amygdalina ◽  
Gene Expressions ◽  
Qrt Pcr ◽  
Flavonoid Biosynthetic Pathway ◽  
Underlying Mechanisms

Background Vernonia amygdalina as a tropical horticultural crop has been widely used for medicinal herb, feed, and vegetable. Recently, increasing studies revealed that this species possesses multiple pharmacological properties. Notably, V. amygdalina leaves possess an abundance of flavonoids, but the specific profiles of flavonoids and the mechanisms of fl avonoid bi osynthesis in developing leaves are largely unknown. Methods The total flavonoids of V. amygdalina leaves were detected using ultraviolet spectrophotometer. The temporal flavonoid profiles of V. amygdalina leaves were analyzed by LC-MS. The transcriptome analysis of V. amygdalina leaves was performed by Illumina sequencing. Functional annotation and differential expression analysis of V. amygdalina genes were performed by Blast2GO v2.3.5 and RSEM v1.2.31, respectively. qRT-PCR analysis was used to verify the gene expressions in developing V. amygdalina leaves. Results By LC-MS analysis, three substrates (p-coumaric acid, trans-cinnamic acid, and phenylalanine) for flavonoid biosynthesis were identified in V. amygdalina leaves. Additionally, 42 flavonoids were identified from V. amygdalina leaves, including six dihydroflavones, 14 flavones, eight isoflavones, nine flavonols, two xanthones, one chalcone, one cyanidin, and one dihydroflavonol. Glycosylation and methylation were common at the hydroxy group of C3, C7, and C4’ positions. Moreover, dynamic patterns of different flavonoids showed diversity. By Illumina sequencing, the obtained over 200 million valid reads were assembled into 60,422 genes. Blast analysis indicated that 31,872 genes were annotated at least in one of public databases. Greatly increasing molecular resources makes up for the lack of gene information in V. amygdalina. By digital expression profiling and qRT-PCR, we specifically characterized some key enzymes, such as Va-PAL1, Va-PAL4, Va-C4H1, Va-4CL3, Va-ACC1, Va-CHS1, Va-CHI, Va-FNSII, and Va-IFS3, involved in flavonoid biosynthesis. Importantly, integrated metabolome and transcriptome data of V. amygdalina leaves, we systematically constructed a flavonoid biosynthetic pathway with regards to material supplying, flavonoid scaffold biosynthesis, and flavonoid modifications. Our findings contribute significantly to understand the underlying mechanisms of flavonoid biosynthesis in V. amygdalina leaves, and also provide valuable information for potential metabolic engineering.

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