Re-Sequencing and Transcriptomic Analysis Reveal Differences in Nitrite Reductase in Jujube Fruit (Ziziphus Jujube)

Abstract BackgroundJujube is one of the characteristic fruit tree species in China. ‘Linhuang No. 1’, a cracking-resistant cultivar, and ‘Muzao’, a cracking-susceptible cultivar, were selected as materials by previous study. Whole-genome re-sequencing and transcriptome of ‘Linhuang No. 1’ and ‘Muzao’ allow the screening out of differently expressed genes with different gene structures between them. It could be helpful in explaining divergence/similarity between the two cultivars. ResultsThere are 664,129 mutation sites between ‘Linhuang No. 1’ and ‘Muzao’ by re-sequencing. To determine the genetic relationship of ‘Linhuang 1’, ‘Muzao’ and reference genome ‘Dongzao’, the characteristic mutation sites were analyzed by principal component analysis. The genetic relationship between ‘Linhuang No. 1’ and ‘Muzao’ was closer than that with ‘Dongzao’. 19 differentially expressed genes were screened by combining the transcriptomics with re-sequencing analysis. LOC107427052 (encoding nitrite reductase) was determined by KEGG enrichment analysis for further study. The large base insertion was not in the domain region of the LOC107427052 gene CDS region. As verified by the finding that the base insertion did not affect protein translation. LOC107427052 gene expression levels, the nitrite reductase activities and the nitrite content of ‘Muzao’ were significantly higher than those of ‘Linhuang No. 1’ at young fruit stage. There was no significant difference in the product ammonia of nitrite reductase between the two varieties. ConclusionsOur study has laid a foundation for the analysis of genetic information and the comparative nitrite metabolism of ‘Linhuang No. 1’ and ‘Muzao’.

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Re-sequencing and transcriptomic analysis reveals rich DNA sequence variation and differential gene expression between varieties of Ziziphus jujuba

10.21203/rs.3.rs-253917/v1 ◽

2021 ◽

Author(s):

Na Li ◽

Yuqin Song ◽

Jie Li ◽

Ruijie Hao ◽

Xinxin Feng ◽

...

Keyword(s):

Differentially Expressed Genes ◽

Genetic Relationship ◽

Principal Component ◽

Enrichment Analysis ◽

Protein Translation ◽

Differentially Expressed ◽

Sequencing Analysis ◽

Gene Structures ◽

Relationship Of ◽

Base Insertion

Abstract Background: Jujube is one of the characteristic fruit tree species in China. ‘Linhuang No. 1’, a cracking-resistant cultivar, and ‘Muzao’, a cracking-susceptible cultivar, were selected as materials by previous study. Whole-genome re-sequencing and transcriptome of ‘Linhuang No. 1’ and ‘Muzao’ allow the screening out of differently expressed genes with different gene structures between them. It could be helpful in explaining divergence/similarity of cracking resistance between the two cultivars. Results: There are 664,129 mutation sites between ‘Linhuang No. 1’ and ‘Muzao’ by re-sequencing. To determine the genetic relationship of ‘Linhuang 1’, ‘Muzao’ and reference genome ‘Dongzao’, the characteristic mutation sites were analyzed by principal component analysis. The genetic relationship between ‘Linhuang No. 1’ and ‘Muzao’ was closer than that with ‘Dongzao’. A total of 431 differentially expressed genes was screened by transcriptomics, and 19 differentially expressed genes were screened by combining the transcriptomics with re-sequencing analysis. LOC107427052 (encoding nitrite reductase) was determined by KEGG enrichment analysis for further study. Conclusions: The large base insertion was not in the domain region of the LOC107427052 gene CDS region. As verified by the finding that the base insertion did not affect protein translation. Our study has laid a foundation for the analysis of genetic information and the comparative nitrite metabolism of ‘Linhuang No. 1’ and ‘Muzao’.

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Resequencing and transcriptomic analysis reveal differences in nitrite reductase in jujube fruit (Ziziphus jujuba Mill.)

Plant Methods ◽

10.1186/s13007-021-00776-9 ◽

2021 ◽

Vol 17 (1) ◽

Author(s):

Na Li ◽

Yuqin Song ◽

Jie Li ◽

Ruijie Hao ◽

Xinxin Feng ◽

...

Keyword(s):

Differentially Expressed Genes ◽

Genetic Relationship ◽

Nitrite Reductase ◽

Principal Component ◽

Enrichment Analysis ◽

Transcriptomic Analysis ◽

Differentially Expressed ◽

Genome Resequencing ◽

Jujube Fruit ◽

Significant Difference

Abstract Background Jujube is a typical fruit tree species from China. ‘Muzao’, a cracking-susceptible cultivar, and ‘Linhuang No. 1’, a cracking-resistant cultivar, were selected in a previous study as contrasting research materials. Whole-genome resequencing and transcriptomic analysis of ‘Linhuang No. 1’ and ‘Muzao’ allowed the identification of differentially expressed genes with different gene structures between the two cultivars and could be helpful in explaining the differences and similarities between the two cultivars. Results Resequencing identified 664,129 polymorphic variable sites between ‘Linhuang No. 1’ and ‘Muzao’. To determine the genetic relationship among ‘Linhuang No. 1’, ‘Muzao’ and the jujube genome reference cultivar ‘Dongzao’, the characteristic polymorphic variable sites were analysed by principal component analysis. The genetic relationship between ‘Linhuang No. 1’ and ‘Muzao’ was closer than that of either variety and ‘Dongzao’. Nineteen differentially expressed genes were identified by combining transcriptomic analysis with resequencing analysis. LOC107427052 (encoding a nitrite reductase) was identified by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis for further study. The identified insertion was not in the domain region of the LOC107427052 gene coding sequence (CDS) region and was verified by the finding that the insertion did not affect translation of the protein. The LOC107427052 gene expression levels, nitrite reductase activities and nitrite contents of ‘Muzao’ were significantly higher than the corresponding values of ‘Linhuang No. 1’ at the young fruit stage. There was no significant difference in the quantity of the product of nitrite reductase, namely, ammonia, between the two cultivars. Conclusions The present study was the first to explore the differences between different jujube cultivars (‘Linhuang No. 1’ and ‘Muzao’) by combining genome resequencing and transcriptomics. LOC107427052 (encoding a nitrite reductase) was characterized by KEGG enrichment analysis. The insertion in the CDS region of the LOC107427052 gene provides a new direction for the study of nitrogen metabolism in jujube. Our study has laid a foundation for the comparative analysis of nitrite metabolism between the jujube cultivars ‘Linhuang No. 1’ and ‘Muzao’.

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Inhibition of Kynurenine Metabolism and Its Effect in Mitochondrial Function in Hepatocellular Carcinoma

Innovation in Aging ◽

10.1093/geroni/igaa057.410 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 124-125

Author(s):

Raul Castro-Portuguez ◽

Samuel Freitas ◽

George Sutphin

Keyword(s):

Hepatocellular Carcinoma ◽

Mitochondrial Function ◽

De Novo ◽

Principal Component ◽

Kynurenine Pathway ◽

The Cancer Genome Atlas ◽

Wilcoxon Test ◽

Nad Synthesis ◽

Significant Difference ◽

Kynurenine Metabolism

Abstract Hepatocellular carcinoma (HCC) is the most prevalent cancer in the liver. The majority of ingested tryptophan is processed in the liver through the kynurenine pathway, the endpoint of which is de novo NAD+ biosynthesis. Dysregulation of tryptophan-kynurenine metabolism and NAD+ synthesis may promote mitochondrial malfunction, tumor reprogramming, and carcinogenesis. Using a publicly available gene expression dataset from liver hepatocellular carcinoma (LIHC) samples available through The Cancer Genome Atlas (TCGA; n = 371), we employed Principal Component Analysis (PCA), hierarchical clustering, gene-pattern expression profiling, and survival analysis to cluster patients and determine overall survival. Our analysis of genes encoding kynurenine pathway enzymes determined that patients with high QPRT expression had a poor prognosis with decreased median survival, with no effect on the maximum survival. There is a significant difference in the survival between patients with high QPRT expression relative to patients with high HAAO/AFMID expression (HR = 1.2, [95% CI 0.5-1.8] P = 0.0181, Gehan-Breslow-Wilcoxon Test). Patients with high QPRT expression have higher survival rates compared with low QPRT expression (HR = 1.4, [95% CI 0.9-2.2] P = 0.0344, Gehan-Breslow-Wilcoxon Test). To test the consequences of kynurenine-pathway inhibition in mitochondrial function and morphology we use 4-Cl-3HAA, an irreversible HAAO inhibitor, and observed a small increase in mitochondrial fragmentation in HepG2 cells after 24 hours of treatment. We conclude that kynurenine metabolism may be useful as a biomarker to predict patient prognosis among HCC patients. In ongoing work, we are testing QPRT inhibitors in cell culture as a potential adjuvant for chemotherapies.

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1H NMR-Based Analysis of Serum Metabolites in Monocrotaline-Induced Pulmonary Arterial Hypertensive Rats

Disease Markers ◽

10.1155/2016/5803031 ◽

2016 ◽

Vol 2016 ◽

pp. 1-11 ◽

Cited By ~ 5

Author(s):

Taijie Lin ◽

Jinping Gu ◽

Caihua Huang ◽

Suli Zheng ◽

Xu Lin ◽

...

Keyword(s):

Intraperitoneal Injection ◽

Ventricular Hypertrophy ◽

Principal Component ◽

Enrichment Analysis ◽

Pathway Enrichment Analysis ◽

Metabolic Profiles ◽

Metabolic Dysfunction ◽

Sprague Dawley ◽

Mean Pulmonary Arterial Pressure ◽

Pulmonary Arterial

Aims. To study the changes of the metabolic profile during the pathogenesis in monocrotaline (MCT) induced pulmonary arterial hypertension (PAH).Methods. Forty male Sprague-Dawley (SD) rats were randomly divided into 5 groups (n=8, each). PAH rats were induced by a single dose intraperitoneal injection of 60 mg/kg MCT, while 8 rats given intraperitoneal injection of 1 ml normal saline and scarified in the same day (W0) served as control. Mean pulmonary arterial pressure (mPAP) was measured through catherization. The degree of right ventricular hypertrophy and pulmonary hyperplasia were determined at the end of first to fourth weeks; nuclear magnetic resonance (NMR) spectra of sera were then acquired for the analysis of metabolites. Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used to discriminate different metabolic profiles.Results. The prominent changes of metabolic profiles were seen during these four weeks. Twenty specific metabolites were identified, which were mainly involved in lipid metabolism, glycolysis, energy metabolism, ketogenesis, and methionine metabolism. Profiles of correlation between these metabolites in each stage changed markedly, especially in the fourth week. Highly activated methionine and betaine metabolism pathways were selected by the pathway enrichment analysis.Conclusions. Metabolic dysfunction is involved in the development and progression of PAH.

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Metabonomic-Transcriptome Integration Analysis on Osteoarthritis and Rheumatoid Arthritis

International Journal of Genomics ◽

10.1155/2020/5925126 ◽

2020 ◽

Vol 2020 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Ningyang Gao ◽

Li Ding ◽

Jian Pang ◽

Yuxin Zheng ◽

Yuelong Cao ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Gap Junction ◽

Molecular Mechanisms ◽

Linear Models ◽

Principal Component ◽

Enrichment Analysis ◽

Pathway Enrichment Analysis ◽

Nf Kappa B ◽

Linear Module ◽

Hedgehog Acyltransferase

Purpose. This study is aimed at exploring the potential metabolite/gene biomarkers, as well as the differences between the molecular mechanisms, of osteoarthritis (OA) and rheumatoid arthritis (RA). Methods. Transcriptome dataset GSE100786 was downloaded to explore the differentially expressed genes (DEGs) between OA samples and RA samples. Meanwhile, metabolomic dataset MTBLS564 was downloaded and preprocessed to obtain metabolites. Then, the principal component analysis (PCA) and linear models were used to reveal DEG-metabolite relations. Finally, metabolic pathway enrichment analysis was performed to investigate the differences between the molecular mechanisms of OA and RA. Results. A total of 976 DEGs and 171 metabolites were explored between OA samples and RA samples. The PCA and linear module analysis investigated 186 DEG-metabolite interactions including Glycogenin 1- (GYG1-) asparagine_54, hedgehog acyltransferase- (HHAT-) glucose_70, and TNF receptor-associated factor 3- (TRAF3-) acetoacetate_35. Finally, the KEGG pathway analysis showed that these metabolites were mainly enriched in pathways like gap junction, phagosome, NF-kappa B, and IL-17 pathway. Conclusions. Genes such as HHAT, GYG1, and TRAF3, as well as metabolites including glucose, asparagine, and acetoacetate, might be implicated in the pathogenesis of OA and RA. Metabolites like ethanol and tyrosine might participate differentially in OA and RA progression via the gap junction pathway and phagosome pathway, respectively. TRAF3-acetoacetate interaction may be involved in regulating inflammation in OA and RA by the NF-kappa B and IL-17 pathway.

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Leaf geometric morphometrics among populations of Dalbergia ecastaphyllum (L.) Taub.

Bioscience Journal ◽

10.14393/bj-v35n6a2019-39814 ◽

2019 ◽

Vol 35 (6) ◽

Author(s):

Daniel Vieira de Morais ◽

Lorena Andrade Nunes ◽

Vandira Pereira da Mata ◽

Maria Angélica Pereira de Carvalho Costa ◽

Geni da Silva Sodré ◽

...

Keyword(s):

Principal Component Analysis ◽

Geometric Morphometrics ◽

Cross Validation ◽

Abiotic Factors ◽

Principal Component ◽

Canonical Variate ◽

Validation Test ◽

Significant Difference ◽

Variate Analysis ◽

Geographical Distances

Leaves are plant structures that express important traits of the environment where they live. Leaf description has allowed identification of plant species as well as investigation of abiotic factors effects on their development, such as gases, light, temperature, and herbivory. This study described populations of Dalbergia ecastaphyllum through leaf geometric morphometrics in Brazil. We evaluated 200 leaves from four populations. The principal component analysis (PCA) showed that the first four principal components were responsible for 97.81% of variation. The non-parametric multivariate analysis of variance (NPMANOVA) indicated significant difference between samples (p = 0.0001). The Mentel test showed no correlation between geographical distances and shape. The canonical variate analysis (CVA) indicated that the first two variables were responsible for 96.77 % of total variation, while the cross-validation test showed an average of 83.33%. D. ecastaphyllum leaves are elliptical and ovate.

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Bioinformatics-based Screening of Key Genes for Saponin Metabolism in Quinoa

10.21203/rs.3.rs-139481/v1 ◽

2021 ◽

Author(s):

Chengang Guo ◽

Zhimin wei ◽

Wei Lyu ◽

Yanlou Geng

Keyword(s):

Differentially Expressed Genes ◽

Principal Component ◽

Enrichment Analysis ◽

Hierarchical Cluster ◽

Gene Set Enrichment Analysis ◽

Differentially Expressed ◽

Differential Analysis ◽

Rna Seq ◽

Protein Coding ◽

Key Genes

Abstract Quinoa saponins have complex, diverse and evident physiologic activities. However, the key regulatory genes for quinoa saponin metabolism are not yet well studied. The purpose of this study was to explore genes closely related to quinoa saponin metabolism. In this study, the significantly differentially expressed genes in yellow quinoa were firstly screened based on RNA-seq technology. Then, the key genes for saponin metabolism were selected by gene set enrichment analysis (GSEA) and principal component analysis (PCA) statistical methods. Finally, the specificity of the key genes was verified by hierarchical clustering. The results of differential analysis showed that 1654 differentially expressed genes were achieved after pseudogenes deletion. Therein, there were 142 long non-coding genes and 1512 protein-coding genes. Based on GSEA analysis, 116 key candidate genes were found to be significantly correlated with quinoa saponin metabolism. Through PCA dimension reduction analysis, 57 key genes were finally obtained. Hierarchical cluster analysis further demonstrated that these key genes can clearly separate the four groups of samples. The present results could provide references for the breeding of sweet quinoa and would be helpful for the rational utilization of quinoa saponins.

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Effect of Different Edaphic Crop Conditions on the Free Amino Acid Profile of PH-16 Dry Cacao Beans

Agronomy ◽

10.3390/agronomy11081637 ◽

2021 ◽

Vol 11 (8) ◽

pp. 1637

Author(s):

Quintino Reis de Araujo ◽

Guilherme Amorim Homem de Abreu Loureiro ◽

Cid Edson Mendonça Póvoas ◽

Douglas Steinmacher ◽

Stephane Sacramento de Almeida ◽

...

Keyword(s):

Amino Acids ◽

Amino Acid ◽

Glutamic Acid ◽

Free Amino Acid ◽

Free Amino Acids ◽

Free Amino ◽

Principal Component ◽

Amino Acid Profile ◽

Gamma Aminobutyric Acid ◽

Significant Difference

Free amino acids in cacao beans are important precursors to the aroma and flavor of chocolate. In this research, we used inferential and explanatory statistical techniques to verify the effect of different edaphic crop conditions on the free amino acid profile of PH-16 dry cacao beans. The decreasing order of free amino acids in PH-16 dry cacao beans is leucine, phenylalanine, glutamic acid, alanine, asparagine, tyrosine, gamma-aminobutyric acid, valine, isoleucine, glutamine, lysine, aspartic acid, serine, tryptophan, threonine, glycine. With the exception of lysine, no other free amino acid showed a significant difference between means of different edaphic conditions under the ANOVA F-test. The hydrophobic free amino acids provided the largest contribution to the explained variance with 58.01% of the first dimension of the principal component analysis. Glutamic acid stands out in the second dimension with 13.09%. Due to the stability of the biochemical profile of free amino acids in this clonal variety, it is recommended that cacao producers consider the genotype as the primary source of variation in the quality of cacao beans and ultimately the chocolate to be produced.

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Prognostic and immunological value of LTB4R in pan-cancer

Mathematical Biosciences and Engineering ◽

10.3934/mbe.2021459 ◽

2021 ◽

Vol 18 (6) ◽

pp. 9336-9356

Author(s):

Sidan Long ◽

◽

Shuangshuang Ji ◽

Kunmin Xiao ◽

Peng Xue ◽

...

Keyword(s):

Immune Cells ◽

Prognostic Significance ◽

Enrichment Analysis ◽

Negative Influence ◽

Leukotriene B4 ◽

Gene Set Enrichment Analysis ◽

Functional Enrichment ◽

Immune Infiltration ◽

Significant Difference ◽

Pan Cancer

<abstract> <sec><title>Background</title>LTB4 receptor 1 (LTB4R), as the high affinity leukotriene B4 receptor, is rapidly revealing its function in malignancies. However, it is still uncertain. </sec> <sec><title>Methods</title>We investigated the expression pattern and prognostic significance of LTB4R in pan-cancer across different databases, including ONCOMINE, PrognoScan, GEPIA, and Kaplan-Meier Plotter, in this study. Meanwhile, we explored the significance of LTB4R in tumor metastasis by HCMDB. Then functional enrichment analysis of related genes was performed using GeneMANIA and DAVID. Lastly, utilizing the TIMER datasets, we looked into the links between LTB4R expression and immune infiltration in malignancies. </sec> <sec><title>Results</title>In general, tumor tissue displayed higher levels of LTB4R expression than normal tissue. Although LTB4R had a negative influence on pan-cancer, a high expression level of LTB4R was protective of LIHC (liver hepatocellular carcinoma) patients' survival. There was no significant difference in the distribution of LTB4R between non-metastatic and metastatic tumors. Based on Gene Set Enrichment Analysis, LTB4R was implicated in pathways involved in inflammation, immunity, metabolism, and cancer diseases. The correlation between immune cells and LTB4R was found to be distinct across cancer types. Furthermore, markers of infiltrating immune cells, such as Treg, T cell exhaustion and T helper cells, exhibited different LTB4R-related immune infiltration patterns. </sec> <sec><title>Conclusion</title>The LTB4R is associated with immune infiltrates and can be used as a prognostic biomarker in pan-cancer. </sec> </abstract>

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Gut Microbiota May Not Be Fully Restored in Recovered COVID-19 Patients After 3-Month Recovery

Frontiers in Nutrition ◽

10.3389/fnut.2021.638825 ◽

2021 ◽

Vol 8 ◽

Author(s):

Yu Tian ◽

Kai-yi Sun ◽

Tian-qing Meng ◽

Zhen Ye ◽

Shi-meng Guo ◽

...

Keyword(s):

Gut Microbiota ◽

Bacterial Species ◽

Short Chain Fatty Acids ◽

Sequencing Analysis ◽

Gut Health ◽

Opportunistic Pathogens ◽

Recovery Stage ◽

Β Diversity ◽

Significant Difference ◽

Male Patients

Coronavirus disease 2019 (COVID-19) has infected over 124 million people worldwide. In addition to the development of therapeutics and vaccines, the evaluation of the sequelae in recovered patients is also important. Recent studies have indicated that COVID-19 has the ability to infect intestinal tissues and to trigger alterations of the gut microbiota. However, whether these changes in gut microbiota persist into the recovery stage remains largely unknown. Here, we recruited seven healthy Chinese men and seven recovered COVID-19 male patients with an average of 3-months after discharge and analyzed their fecal samples by 16S rRNA sequencing analysis to identify the differences in gut microbiota. Our results suggested that the gut microbiota differed in male recovered patients compared with healthy controls, in which a significant difference in Chao index, Simpson index, and β-diversity was observed. And the relative abundance of several bacterial species differed clearly between two groups, characterized by enrichment of opportunistic pathogens and insufficiency of some anti-inflammatory bacteria in producing short chain fatty acids. The above findings provide preliminary clues supporting that the imbalanced gut microbiota may not be fully restored in recovered patients, highlighting the importance of continuous monitoring of gut health in people who have recovered from COVID-19.

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