scholarly journals Transcriptomic analysis reveals responses to Cycloastragenol in Arabidopsis thaliana

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242986
Author(s):  
Wissem Mhiri ◽  
Merve Ceylan ◽  
Neslihan Turgut-Kara ◽  
Barbaros Nalbantoğlu ◽  
Özgür Çakır
Keyword(s):  
Telomerase Activity ◽  
Cytochrome P450s ◽  
Rna Seq ◽  
Tolerance Mechanisms ◽  
Transcriptional Responses ◽  
Kegg Pathways ◽  
Signaling Mechanisms ◽  
Genome Wide ◽  
Go Terms ◽  
Cag A

Cycloastragenol (CAG), a molecule isolated from ‘Astragalus membranaceus’, stimulates the telomerase activity and cell proliferation significantly. It has been proven that CAG has the ability to prevent some diseases in humans. In this study, we aimed to figure out the CAG effects on the different signaling mechanisms in plants and to broadly analyze the genome-wide transcriptional responses in order to demonstrate CAG as a new key molecule that can potentially help plants to overcome different environmental stresses. RNA-seq strategy was employed to assess the transcriptional profiles in A. thaliana calli. Our work primarily focused on an overall study on the transcriptomic responses of A. thaliana to CAG. A total of 22593 unigenes have been detected, among which 1045 unigenes associated with 213 GO terms were differentially expressed and were assigned to 118 KEGG pathways. The up-regulated genes are principally involved in cellular and metabolic processes in addition to the response to a stimulus. The data analysis revealed genes associated with defense signaling pathways such as cytochrome P450s transporter, antioxidant system genes, and stress-responsive protein families were significantly upregulated. The obtained results can potentially help in better understanding biotic and/or abiotic tolerance mechanisms in response to CAG.

scholarly journals Comparative Transcriptome Profiling of High and Low oil yielding Santalum album L.

2021 ◽  
Author(s):  
Tanzeem Fatima ◽  
Rangachari Krishnan ◽  
Ashutosh Srivastava ◽  
Vageeshbabu S. Hanur ◽  
M. Srinivasa Rao
Keyword(s):  
Transcriptome Profiling ◽  
Santalum Album ◽  
Rna Seq ◽  
Improvement Program ◽  
East Indian ◽  
Kegg Pathways ◽  
Oil Biosynthesis ◽  
Genome Wide ◽  
A Genome ◽  
Santalum Album L

East Indian Sandalwood (Santalum album L.) is highly valued for its heartwood and its oil. There have been no efforts to comparative study of high and low oil yielding genetically identical sandalwood trees grown in similar climatic condition. Thus we intend to study a genome wide transcriptome analysis to identify the corresponding genes involved in high oil biosynthesis in S. album. In this study, 15 years old S. album (SaSHc and SaSLc) genotypes were targeted for analysis to understand the contribution of genetic background on high oil biosynthesis in S. album. A total of 28,959187 and 25,598869 raw PE reads were generated by the Illumina sequencing. 2.12 million and 1.811 million coding sequences were obtained in respective accessions. Based on the GO terms, functional classification of the CDS 21262, & 18113 were assigned into 26 functional groups of three GO categories; (4,168; 3,641) for biological process (5,758;4,971) cellular component and (5,108;4,441) for molecular functions. Total 41,900 and 36,571 genes were functionally annotated and KEGG pathways of the DEGs resulted 213 metabolic pathways. In this, 14 pathways were involved in secondary metabolites biosynthesis pathway in S. album. Among 237 cytochrome families, nine groups of cytochromes were participated in high oil biosynthesis. 16,665 differentially expressed genes were commonly detected in both the accessions (SaHc and SaSLc). The results showed that 784 genes were upregulated and 339 genes were downregulated in SaHc whilst 635 upregulated 299 downregulated in SaSLc S. album. RNA-Seq results were further validated by quantitative RT-PCR. Maximum Blast hits were found to be against Vitis vinifera. From this study we have identified additional number of cytochrome family in SaHc. The accessibility of a RNA-Seq for high oil yielding sandalwood accessions will have broader associations for the conservation and selection of superior elite samples/populations for further genetic improvement program.

scholarly journals Transcriptome Analysis of Spleen in Chickens Administered β-glucan Derived From Yeast Cell Wall

2021 ◽  
Author(s):  
Liting Cao ◽  
Jianrong Zhang ◽  
Yiwen Qu ◽  
Weihao Li ◽  
Yue Ma ◽  
...  
Keyword(s):  
Cell Wall ◽  
Oral Administration ◽  
Yeast Cell ◽  
Yeast Cell Wall ◽  
Rna Seq ◽  
Cell Wall Polysaccharides ◽  
Kegg Pathways ◽  
Expression Of Genes ◽  
Multiple Signaling ◽  
Go Terms

Abstract Background: Our previous study shown that oral administration of a product contained yeast cell wall polysaccharides enhanced immune responses elicited by Newcastle disease virus and changed microbial community of cecum in chickens.Results: The present study was design to investigate the potential molecular mechanism in relation to the immunomodulation of β-glucan in chickens. Using RNA-sequence (RNA-seq) technique, we identified 198 DEGs in spleen in chickens after oral administration of β-glucan. In addition, these DEGs were significantly enriched in 205 GO terms and 7 KEGG pathways. Conclusions: β-glucan might regulate chicken immune system by regulating expression of genes involved in cognition, cytokines, binding, enzyme activities and multiple signaling pathway.

scholarly journals Transcriptome Profile Analysis of Strawberry Leaves Reveals Flowering Regulation under Blue Light Treatment

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Yuntian Ye ◽  
Yongqiang Liu ◽  
Xiaolong Li ◽  
Qing Chen ◽  
Yong Zhang ◽  
...  
Keyword(s):  
Blue Light ◽  
Profile Analysis ◽  
Expression Patterns ◽  
Light Treatment ◽  
Rna Seq ◽  
Function Annotation ◽  
Data Resource ◽  
Kegg Pathways ◽  
Flowering Regulation ◽  
Go Terms

Blue light is an important signal that regulates the flowering of strawberry plants. To reveal the mechanism of early flowering under blue light treatment at the transcriptional regulation level, seedlings of cultivated strawberry (Fragaria × ananassa Duch.) “Benihoppe” were subjected to a white light treatment (WL) and blue light treatment (BL) until their flowering. To detect the expression patterns of genes in response to BL, a transcriptome analysis was performed based on RNA-Seq. The results identified a total of 6875 differentially expressed genes (DEGs) that responded to BL, consisting of 3138 (45.64%) downregulated ones and 3737 (54.36%) upregulated ones. These DEGs were significantly enriched into 98 GO terms and 71 KEGG pathways based on gene function annotation. Among the DEGs, the expression levels of genes that might participate in light signaling (PhyB, PIFs, and HY5) and circadian rhythm (FKF1, CCA1, LHY, and CO) in plants were altered under BL. The BBX transcription factors which responded to BL were also identified. The result showed that the FaBBX29, one of strawberry’s BBX family genes, may play an important role in flowering regulation. Our results provide a timely, comprehensive view and a reliable reference data resource for further study of flowering regulation under different light qualities.

Comprehensive Analysis of Transcriptomics and Metabolomics between the Heads and Tails of Angelica Sinensis: Genes Related to Phenylpropanoid Biosynthesis Pathway

2020 ◽  
Vol 23 ◽  
Author(s):  
Jie Yang ◽  
Chi Zhang ◽  
Wei-Hong Li ◽  
Tian-Er Zhang ◽  
Guang-Zhong Fan ◽  
...  
Keyword(s):  
Ferulic Acid ◽  
Metabolic Regulation ◽  
Comprehensive Analysis ◽  
Angelica Sinensis ◽  
Rna Seq ◽  
Targeted Metabolomics ◽  
Kegg Pathways ◽  
Qrt Pcr ◽  
Phenylpropanoid Biosynthesis ◽  
Combined Strategy

Background:: In Traditional Chinese Medicine (TCM), the heads and tails of Angelica sinensis (Oliv.) Diels (AS) is used in treating different diseases due to their different pharmaceutical efficacies. The underline mechanisms, however, have not been fully explored. Objective:: Novel mechanisms responsible for the discrepant activities between AS heads and tails were explored by a combined strategy of transcriptomes and metabolomics. Method:: Six pairs of the heads and tails of AS roots were collected in Min County, China. Total RNA and metabolites, which were used for RNA-seq and untargeted metabolomics analysis, were respectively isolated from each AS sample (0.1 g) by Trizol and methanol reagent. Subsequently, differentially expressed genes (DEGs) and discrepant pharmaceutical metabolites were identified for comparing AS heads and tails. Key DEGs and metabolites were quantified by qRT-PCR and targeted metabolomics experiment. Results:: Comprehensive analysis of transcriptomes and metabolomics results suggested that five KEGG pathways with significant differences included 57 DEGs. Especially, fourteen DEGs and six key metabolites were relation to the metabolic regulation of Phenylpropanoid biosynthesis (PB) pathway. Results of qRT-PCR and targeted metabolomics indicated that higher levels of expression of crucial genes in PB pathway, such as PAL, CAD, COMT and peroxidase in the tail of AS were positively correlated with levels of ferulic acid-related metabolites. The average content of ferulic acid in tails (569.58162.39 nmol/g) was higher than those in the heads (168.73  67.30 nmol/g) (P˂0.01); Caffeic acid in tails (3.82  0.88 nmol/g) vs heads (1.37  0.41 nmol/g) (P˂0.01), and Cinnamic acid in tails (0.24  0.09 nmol/g) vs heads (0.14  0.02 nmol/g) (P˂0.05). Conclusion:: Our work demonstrated that overexpressed genes and accumulated metabolites derived from PB pathway might be responsible for the discrepant pharmaceutical efficacies between AS heads and tails.

scholarly journals VELCRO-IP RNA-seq reveals ribosome expansion segment function in translation genome-wide

Cell Reports ◽  
2021 ◽  
Vol 34 (3) ◽  
pp. 108629
Author(s):  
Kathrin Leppek ◽  
Gun Woo Byeon ◽  
Kotaro Fujii ◽  
Maria Barna
Keyword(s):  
Rna Seq ◽  
Expansion Segment ◽  
Genome Wide

scholarly journals Distinct regulation of hippocampal neuroplasticity and ciliary genes by corticosteroid receptors

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Karen R. Mifsud ◽  
Clare L. M. Kennedy ◽  
Silvia Salatino ◽  
Eshita Sharma ◽  
Emily M. Price ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Glucocorticoid Receptors ◽  
Acute Stress ◽  
Circadian Variation ◽  
Rna Seq ◽  
Physiological Regulation ◽  
Behavioural Adaptation ◽  
Neuronal Progenitor ◽  
Genome Wide ◽  
Transcriptional Changes

AbstractGlucocorticoid hormones (GCs) — acting through hippocampal mineralocorticoid receptors (MRs) and glucocorticoid receptors (GRs) — are critical to physiological regulation and behavioural adaptation. We conducted genome-wide MR and GR ChIP-seq and Ribo-Zero RNA-seq studies on rat hippocampus to elucidate MR- and GR-regulated genes under circadian variation or acute stress. In a subset of genes, these physiological conditions resulted in enhanced MR and/or GR binding to DNA sequences and associated transcriptional changes. Binding of MR at a substantial number of sites however remained unchanged. MR and GR binding occur at overlapping as well as distinct loci. Moreover, although the GC response element (GRE) was the predominant motif, the transcription factor recognition site composition within MR and GR binding peaks show marked differences. Pathway analysis uncovered that MR and GR regulate a substantial number of genes involved in synaptic/neuro-plasticity, cell morphology and development, behavior, and neuropsychiatric disorders. We find that MR, not GR, is the predominant receptor binding to >50 ciliary genes; and that MR function is linked to neuronal differentiation and ciliogenesis in human fetal neuronal progenitor cells. These results show that hippocampal MRs and GRs constitutively and dynamically regulate genomic activities underpinning neuronal plasticity and behavioral adaptation to changing environments.

Genome-wide investigation on transcriptional responses to drought stress in wild and cultivated rice

2021 ◽  
pp. 104555
Author(s):  
Mu-Fan Geng ◽  
Xiu-Hua Wang ◽  
Mei-Xia Wang ◽  
Zhe Cai ◽  
Qing-Lin Meng ◽  
...  
Keyword(s):  
Drought Stress ◽  
Cultivated Rice ◽  
Transcriptional Responses ◽  
Genome Wide

scholarly journals SPLICE-q: a Python tool for genome-wide quantification of splicing efficiency

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Verônica R. de Melo Costa ◽  
Julianus Pfeuffer ◽  
Annita Louloupi ◽  
Ulf A. V. Ørom ◽  
Rosario M. Piro
Keyword(s):  
Gene Expression ◽  
Cancer Progression ◽  
Time Course ◽  
Progressive Increase ◽  
Rna Seq ◽  
Transcript Processing ◽  
Aberrant Transcript ◽  
Genome Wide ◽  
Splicing Efficiency ◽  
Nascent Rna

Abstract Background Introns are generally removed from primary transcripts to form mature RNA molecules in a post-transcriptional process called splicing. An efficient splicing of primary transcripts is an essential step in gene expression and its misregulation is related to numerous human diseases. Thus, to better understand the dynamics of this process and the perturbations that might be caused by aberrant transcript processing it is important to quantify splicing efficiency. Results Here, we introduce SPLICE-q, a fast and user-friendly Python tool for genome-wide SPLICing Efficiency quantification. It supports studies focusing on the implications of splicing efficiency in transcript processing dynamics. SPLICE-q uses aligned reads from strand-specific RNA-seq to quantify splicing efficiency for each intron individually and allows the user to select different levels of restrictiveness concerning the introns’ overlap with other genomic elements such as exons of other genes. We applied SPLICE-q to globally assess the dynamics of intron excision in yeast and human nascent RNA-seq. We also show its application using total RNA-seq from a patient-matched prostate cancer sample. Conclusions Our analyses illustrate that SPLICE-q is suitable to detect a progressive increase of splicing efficiency throughout a time course of nascent RNA-seq and it might be useful when it comes to understanding cancer progression beyond mere gene expression levels. SPLICE-q is available at: https://github.com/vrmelo/SPLICE-q

scholarly journals Genome-Wide Identification and Characterization of Hsf and Hsp Gene Families and Gene Expression Analysis under Heat Stress in Eggplant (Solanum melongema L.)

Horticulturae ◽  
2021 ◽  
Vol 7 (6) ◽  
pp. 149
Author(s):  
Chao Gong ◽  
Qiangqiang Pang ◽  
Zhiliang Li ◽  
Zhenxing Li ◽  
Riyuan Chen ◽  
...  
Keyword(s):  
Heat Stress ◽  
Gene Families ◽  
High Temperature Stress ◽  
Pcr Analysis ◽  
Rna Seq ◽  
Genome Wide ◽  
Motif Composition ◽  
Hsp Genes ◽  
Identification And Characterization

Under high temperature stress, a large number of proteins in plant cells will be denatured and inactivated. Meanwhile Hsfs and Hsps will be quickly induced to remove denatured proteins, so as to avoid programmed cell death, thus enhancing the thermotolerance of plants. Here, a comprehensive identification and analysis of the Hsf and Hsp gene families in eggplant under heat stress was performed. A total of 24 Hsf-like genes and 117 Hsp-like genes were identified from the eggplant genome using the interolog from Arabidopsis. The gene structure and motif composition of Hsf and Hsp genes were relatively conserved in each subfamily in eggplant. RNA-seq data and qRT-PCR analysis showed that the expressions of most eggplant Hsf and Hsp genes were increased upon exposure to heat stress, especially in thermotolerant line. The comprehensive analysis indicated that different sets of SmHsps genes were involved downstream of particular SmHsfs genes. These results provided a basis for revealing the roles of SmHsps and SmHsp for thermotolerance in eggplant, which may potentially be useful for understanding the thermotolerance mechanism involving SmHsps and SmHsp in eggplant.

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