scholarly journals Comprehensive Analysis of Transcriptome and Metabolome Reveals the Flavonoid Metabolic Pathway Is Associated with Fruit Peel Coloration of Melon

Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2830
Author(s):  
Aiai Zhang ◽  
Jing Zheng ◽  
Xuemiao Chen ◽  
Xueyin Shi ◽  
Huaisong Wang ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Comprehensive Analysis ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Fruit Peel ◽  
External Quality ◽  
Color Formation ◽  
Peel Color ◽  
Dark Green

The peel color is an important external quality of melon fruit. To explore the mechanisms of melon peel color formation, we performed an integrated analysis of transcriptome and metabolome with three different fruit peel samples (grey-green ‘W’, dark-green ‘B’, and yellow ‘H’). A total of 40 differentially expressed flavonoids were identified. Integrated transcriptomic and metabolomic analyses revealed that flavonoid biosynthesis was associated with the fruit peel coloration of melon. Twelve differentially expressed genes regulated flavonoids synthesis. Among them, nine (two 4CL, F3H, three F3′H, IFS, FNS, and FLS) up-regulated genes were involved in the accumulation of flavones, flavanones, flavonols, and isoflavones, and three (2 ANS and UFGT) down-regulated genes were involved in the accumulation of anthocyanins. This study laid a foundation to understand the molecular mechanisms of melon peel coloration by exploring valuable genes and metabolites.

scholarly journals Identification of differentially expressed proteins in fresh and frozen–thawed boar spermatozoa by iTRAQ-coupled 2D LC–MS/MS

Reproduction ◽  
2014 ◽  
Vol 147 (3) ◽  
pp. 321-330 ◽  
Author(s):  
Xiaoli Chen ◽  
Huabin Zhu ◽  
Chuanhuo Hu ◽  
Haisheng Hao ◽  
Junfang Zhang ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Bioinformatic Analysis ◽  
Absolute Quantification ◽  
Differentially Expressed ◽  
Differentially Expressed Proteins ◽  
Protein Levels ◽  
Boar Semen ◽  
Isobaric Tags ◽  
Boar Spermatozoa

Cryodamage is a major problem in semen cryopreservation, causing changes in the levels of proteins that influence the function and motility of spermatozoa. In this study, protein samples prepared from fresh and frozen–thawed boar spermatozoa were compared using the isobaric tags for relative and absolute quantification (iTRAQ) labeling technique coupled to 2D LC–MS/MS analysis. A total of 41 differentially expressed proteins were identified and quantified, including 35 proteins that were present at higher levels and six proteins that were present at lower levels in frozen–thawed spermatozoa by at least a mean of 1.79-fold (P<0.05). On classifying into ten distinct categories using bioinformatic analysis, most of the 41 differentially expressed proteins were found to be closely relevant to sperm premature capacitation, adhesions, energy supply, and sperm–oocyte binding and fusion. The expression of four of these proteins, SOD1, TPI1, ODF2, and AKAP3, was verified by western blot analysis. We propose that alterations in these identified proteins affect the quality of cryopreserved semen and ultimately lower its fertilizing capacity. This is the first study to compare protein levels in fresh and frozen–thawed spermatozoa using the iTRAQ technology. Our preliminary results provide an overview of the molecular mechanisms of cryodamage in frozen–thawed spermatozoa and theoretical guidance to improve the cryopreservation of boar semen.

scholarly journals Identification of Non-coding RNA Biomarkers in Stress-induced Depression via Comprehensive Analysis of Competing Endogenous RNA Network

2020 ◽  
Author(s):  
xuanjun liu ◽  
Lan Yan ◽  
Chun Lin ◽  
Yiliang Zhang ◽  
Haofei Miao ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Comprehensive Analysis ◽  
Differentially Expressed ◽  
Psychiatric Disease ◽  
Circular Rnas ◽  
Messenger Rnas ◽  
Competing Endogenous Rna ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Promising Perspective

Abstract BackgroundDepression is one of the most common psychiatric disease worldwide. Although the research about the pathogenesis of depression have achieved progress, the detailed effect of non-coding RNAs (ncRNAs) in depression are still not clearly elucidated. This study was aimed to identify non-coding RNA biomarkers in stress-induced depression via comprehensive analysis of competing endogenous RNA networkMethodsIn this present study, we acquired RNA expression from RNA seq expression profile in three mice with depressive-like behaviors using chronic restraint stress paradigm and three C57BL/6J wild-type mice as control mice. ResultsA total of 41 differentially expressed circular RNAs (circRNAs) and 181 differentially expressed messenger RNAs (mRNAs) were up-regulated, and 65 differentially expressed circRNAs and 289 differentially expressed mRNAs were down-regulated, which were selected by a threshold of fold change ≥2 and a p-value < 0.05. Gene Ontology was performed to analyze the biological functions, and we predicted potential signaling pathways based on Kyoto Encyclopedia of Genes and Genomes pathway database. In addition, we constructed a circRNA-microRNA (miRNA)-mRNA regulatory network to further identify non-coding RNAs biomarkers. ConclusionsOur findings provide a promising perspective for further research into molecular mechanisms of depression, and targeting circRNA -mediated competing endogenous RNA (ceRNA) network is a useful strategy to early recognize the depression.

scholarly journals Integrated analysis of sex-biased mRNA and miRNA expression profiles in the gonad of the discus fish (Symphysodon aequifasciatus)

2018 ◽  
Author(s):  
yuanshuai Fu ◽  
Zhe Xu ◽  
Zaizhong Chen ◽  
Bin Wen ◽  
Jianzhong Gao
Keyword(s):  
Molecular Mechanisms ◽  
Target Genes ◽  
High Efficiency ◽  
Expression Profiles ◽  
Gonad Development ◽  
Differentially Expressed ◽  
Cdna Libraries ◽  
Integrated Analysis ◽  
Illumina Hiseq ◽  
Differentially Expressed Mirnas

The discus fish (Symphysodon aequifasciatus) is an ornamental fish that is well-known around the world. Phenotype investigation indicated that there are no significant differences in appearance between males and females of the discus fish. To better understand the sexual development mechanisms and obtain a high efficiency sex identification method in the artificial reproduction process of the discus fish, we constructed six cDNA libraries from three adult testes and three adult ovaries, and perform RNA-sequencing for identifying sex-biased candidate genes, microRNA (miRNA), and metabolic pathway using the Illumina Hiseq 4000. A total of 50,082 non-redundant genes (unigenes) were identified, of which 18,570 unigenes were significantly overexpressed in testes, and 11,182 unigenes were significantly overexpressed in ovaries, and 8 differentially expressed unigenes were validated by quantitative Real-Time PCR (qPCR). A total of 551 miRNAs were identified, of which 47 miRNAs were differentially expressed between testes and ovaries, and 7 differentially expressed miRNAs and one non-differential miRNA were validated by qPCR. Twenty-four of these differentially expressed miRNAs and their 15 predicted target genes constituted 41 important miRNA-mRNA interaction pairs, which may be important candidates for sex-related miRNAs and sex-related genes in the discus fish. Some of vital sex-related metabolic pathways were also identified that may play key roles in regulating gonad development of the discus fish. These results can provide important insights to better understand molecular mechanisms for sexual dimorphism in gonads development.

scholarly journals Integrated Analysis of lncRNA, miRNA and mRNA Reveals Novel Insights into the Fertility Regulation of Large White Sows

2019 ◽  
Author(s):  
Huiyan Hu ◽  
Qing Jia ◽  
Jianzhong Xi ◽  
Bo Zhou ◽  
Zhiqiang Li
Keyword(s):  
Molecular Mechanisms ◽  
Ovarian Tissue ◽  
Length Distribution ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Rna Seq ◽  
Large White ◽  
Reproductive Process ◽  
Mrna Targets ◽  
Micro Rnas

Abstract Background: Improving sow fertility is extremely important as it can lead to increased reproductive efficiency and thus profitability for swine producers. There are considerable differences in fertility rates among individual animals, but the underlying molecular mechanisms remain unclear. In this study, by using different types of RNA libraries, we investigated the complete transcriptome of ovarian tissue during the luteal (L) and follicular phases (F) of the estrous cycle in Large White pigs with high (H) and low fecundity (L), and performed a comprehensive analysis of long noncoding RNAs (lncRNAs), mRNAs and micro RNAs (miRNAs) from 16 samples by combining RNA sequencing (RNA-seq) with bioinformatics. Results: In total, 24,447 lncRNAs, 27,370 mRNAs, and 216 known miRNAs were identified in ovarian tissues. The genomic features of lncRNAs, such as length distribution and number of exons, were further analyzed. We selected a threshold of P < 0.05 and |log2 (fold change)| ≥ 1to obtain the differentially expressed lncRNAs, miRNAs and mRNAs by pairwise comparison (LH vs. LL, FH vs. FL). Bioinformatics analysis of these differentially expressed RNAs revealed multiple significantly enriched pathways (P < 0.05) that were closely involved in the reproductive process, such as ovarian steroidogenesis, lysosome, steroid biosynthesis, and the estrogen and GnRH signaling pathways. Moreover, bioinformatics screening of differentially expressed miRNAs that share common miRNA response elements (MREs) with lncRNAs and their downstream mRNA targets were performed. Finally, we constructed lncRNA–miRNA–mRNA regulation networks. The key genes in these networks were verified by Reverse Transcription Real-time Quantitative PCR (RT-qRCR), which were consistent with the results from RNA-Seq data.Conclusions: These results provide further insights into the fertility of pigs and can contribute to further experimental investigation of the functions of these genes.

scholarly journals Comparative adipose transcriptome analysis digs out genes related to fat deposition in two pig breeds

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kai Xing ◽  
Kejun Wang ◽  
Hong Ao ◽  
Shaokang Chen ◽  
Zhen Tan ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Signaling Pathway ◽  
Meat Quality ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Mapk Signaling ◽  
Fat Deposition ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Pig Breeds

Abstract Fatness traits are important in pigs because of their implications for fattening efficiency, meat quality, reproductive performance and immunity. Songliao black pigs and Landrace pigs show important differences in production and meat quality traits, including fatness and muscle growth. Therefore, we used a high-throughput massively parallel RNA-seq approach to identify genes differentially expressed in backfat tissue between these two breeds (six pigs in each). An average of 37.87 million reads were obtained from the 12 samples. After statistical analysis of gene expression data by edgeR, a total of 877 differentially expressed genes were detected between the two pig breeds, 205 with higher expression and 672 with lower expression in Songliao pigs. Candidate genes (LCN2, CES3, DGKB, OLR1, LEP, PGM1, PCK1, ACACB, FADS1, FADS2, MOGAT2, SREBF1, PPARGC1B) with known effects on fatness traits were included among the DEGs. A total of 1071 lncRNAs were identified, and 85 of these lncRNAs were differentially expressed, including 53 up-regulated and 32 down-regulated lncRNAs, respectively. The differentially expressed genes and lncRNAs involved in glucagon signaling pathway, glycolysis/gluconeogenesis, insulin signaling pathway, MAPK signaling pathway and so on. Integrated analysis potential trans-regulating or cis-regulating relation between DEGs and DE lncRNAs, suggested lncRNA MSTRG.2479.1 might regulate the expressed level of VLDLR affecting porcine fat metabolism. These results provide a number of candidate genes and lncRNAs potentially involved in porcine fat deposition and provide a basis for future research on the molecular mechanisms underlying in fat deposition.

scholarly journals Integrated analysis of lncRNA, miRNA and mRNA reveals novel insights into the fertility regulation of large white sows

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Huiyan Hu ◽  
Qing Jia ◽  
Jianzhong Xi ◽  
Bo Zhou ◽  
Zhiqiang Li
Keyword(s):  
Molecular Mechanisms ◽  
Ovarian Tissue ◽  
Length Distribution ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Rna Seq ◽  
Large White ◽  
Reproductive Process ◽  
Mrna Targets ◽  
Micro Rnas

Abstract Background Improving sow fertility is extremely important as it can lead to increased reproductive efficiency and thus profitability for swine producers. There are considerable differences in fertility rates among individual animals, but the underlying molecular mechanisms remain unclear. In this study, by using different types of RNA libraries, we investigated the complete transcriptome of ovarian tissue during the luteal (L) and follicular (F) phases of the estrous cycle in Large White pigs with high (H) and low (L) fecundity, and performed a comprehensive analysis of long noncoding RNAs (lncRNAs), mRNAs and micro RNAs (miRNAs) from 16 samples by combining RNA sequencing (RNA-seq) with bioinformatics. Results In total, 24,447 lncRNAs, 27,370 mRNAs, and 216 known miRNAs were identified in ovarian tissues. The genomic features of lncRNAs, such as length distribution and number of exons, were further analyzed. We selected a threshold of P < 0.05 and |log2 (fold change)| ≥ 1 to obtain the differentially expressed lncRNAs, miRNAs and mRNAs by pairwise comparison (LH vs. LL, FH vs. FL). Bioinformatics analysis of these differentially expressed RNAs revealed multiple significantly enriched pathways (P < 0.05) that were closely involved in the reproductive process, such as ovarian steroidogenesis, lysosome, steroid biosynthesis, and the estrogen and GnRH signaling pathways. Moreover, bioinformatics screening of differentially expressed miRNAs that share common miRNA response elements (MREs) with lncRNAs and their downstream mRNA targets were performed. Finally, we constructed lncRNA–miRNA–mRNA regulation networks. The key genes in these networks were verified by Reverse Transcription Real-time Quantitative PCR (RT-qRCR), which were consistent with the results from RNA-Seq data. Conclusions These results provide further insights into the fertility of pigs andcan contribute to further experimental investigation of the functions of these genes.

scholarly journals Integrated Analysis of lncRNA-miRNA-mRNA ceRNA Network in Human Diarrhea Irritable Bowel Syndrome

2021 ◽  
Author(s):  
Jun-wei LIANG ◽  
Wen-jun BAI ◽  
Xiao-yan WANG ◽  
Li-li CHI
Keyword(s):  
Irritable Bowel Syndrome ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Down Regulation ◽  
Tissue Samples ◽  
Cerna Network ◽  
Irritable Bowel

Abstract Background:Many studies on long chain non-coding RNAs (lncRNAs) are published in recent years. But the roles of lncRNAs in diarrhea irritable bowel syndrome (IBS-D) are still unclear and should be further examined. The present work focused on determining the molecular mechanisms underlying lncRNAs regulation in IBS-D on the basis of the lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network.Methods:This study collected the mRNAs (GSE36701) expression data within human tissue samples with IBS-D group and normal group based on Gene Expression Omnibus (GEO) database and collected the differentially expressed lncRNAs (DELs) and differentially expressed miRNAs (DEmiRs) based on PubMed.Functional enrichment analysis of DEGs was performed on the DAVID database. Then the interaction network was constructed and visualized using STRING database and Cytoscape.Results: This study identified 3192 DEmRNAs (1437 with up-regulation and 1755 with down-regulation),29 DEmiRs (18 upregulated and 11 downregulated)and 2 DELs(one upregulated and one downregulated) between IBS-D and control samples.Furthermore,we constructed a lncRNA-miRNA-mRNA network through two DELs (lncRNA TUG1 with up-regulation and lncRNA H19 with down-regulation), four DemiRs (hsa-miR-148a-3p,hsa-miR-342-3p,hsa-miR-149-5p with up-regulation and hsa-miR-219a-5p with down-regulation)and 24 DEGs (4 with up-regulation and 20 with down-regulation) with 42 axes. Simultaneously, we conducted functional enrichment and pathway analyses on genes within the as-constructed ceRNA network. According to our PPI/ceRNA network and functional enrichment analysis results, two critical genes were found (BCL2L11 and QKI). Conclusion:In conclusion, the ceRNA interaction axis we identified is a potentially critical target for treating IBS-D.BCL2L11 axis(LncH19-hsa-miR-148a-3p-BCL2L11) may via interaction with PI3K/AKT pathways in IBS-D.Our results shed more lights on the possible pathogenic mechanism in IBS-D using a lncRNA-associated ceRNA network.

scholarly journals Multi-omics Analysis Reveals Whether and how Naphthylacetic Acid Affects the Quality of Rehmannia Glutinosa

2020 ◽  
Author(s):  
Jianjun LI ◽  
Luying SHAO ◽  
Jialin ZHU ◽  
Jingxiao MA ◽  
Yanqing ZHOU ◽  
...  
Keyword(s):  
Small Rna ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Rehmannia Glutinosa ◽  
Degradome Sequencing ◽  
Differentially Expressed Mirnas ◽  
Naphthylacetic Acid

Abstract Background: Rehmannia glutinosa (R.glutinosa) is an important medicinal plant. The tuberous root of R.glutinosa is often used as herbal medicine. Naphthylacetic acid (NAA) as expansin can improve its yield, but knowledge about gene regulation and metabolome in its root is limited.Results: Full-length transcriptome, next generation transcriptome(NGS), small RNA and degradome sequencing and metabolomics were used to elucidate whether and how NAA affected its quality.30 differential expression metabolites (DEMs) (11 upregulated, 19downregulated) were identified, but catalpol and Rehmannioside D as quality standards were unchanged in its tuberous roots under control and NAA conditions (CKs and NTs); Their NGS identified 1,113 differentially expressed transcripts (DETs) (596 upregulated, 517downregulated) verified by RT-qPCR; Small RNA sequencing identified 78miRNAs (11known, 67 novel), of which 3 were differentially expressed miRNAs (1upregulated, 2downregulated). Among them, 274 differentially expressed miRNAs target transcripts (DEMTs) were predicted found and then validated by degradome sequencing; DETs and DEMTs were mainly related to metabolism. 4 miRNA-mRNA interaction pairs that regulates 4 metabolites (2 negatively correlated, 2 positively correlated) were identified; DETs, DEMs, differentially expressed miRNAs and DEMTs involved in phenylpropanoid biosynthesis regulated metabolites.Conclusions: The identification of DETs, DEMs, differentially expressed miRNAs and DEMTs could help to elucidate the regulatory networks and molecular mechanisms important for NAA-improving root quality of R.glutinosa.

scholarly journals Integrated Transcriptome and Proteome Analysis Reveals Complex Regulatory Mechanism of Cotton in Response to Salt Stress

2020 ◽  
Author(s):  
Lin Chen ◽  
Heng Sun ◽  
Jie Kong ◽  
Haijiang Xu ◽  
Xiyan Yang
Keyword(s):  
Salt Stress ◽  
Proteome Analysis ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Complex Signal ◽  
Calcium Signal ◽  
Signal Pathways ◽  
Yield And Quality ◽  
Signal Cascade

Abstract BackgroundSoil salt stress seriously restricts the yield and quality of cotton worldwide. To investigate the molecular mechanism of cotton response to salt stress, a main cultivated variety Gossypium hirsutum L. acc. Xinluzhong 54 was used to perform transcriptome and proteome integrated analysis. ResultsThrough transcriptome analysis of cotton treated with salt stress for 0 h (T0), 3 h (T3) and 12 h (T12), we identified 8,436, 11,628 and 6,311 differentially expressed genes (DEGs) inT3 / T0, T12 / T0 and T12 / T3, respectively. A total of 459 differentially expressed proteins (DEPs) were identified by proteomic analysis, of which 273, 99 and 260 DEPs were identified in T3 / T0, T12 / T0 and T12 / T3, respectively. Metabolic pathways, biosynthesis of secondary metabolites, photosynthesis and plant hormone signal transduction were the main enrichment pathways by annotation of DEGs or DEPs. Detail analysis of the DEGs or DEPs revealed that complex signal pathways, such as ABA and JA signal, calcium signal, MAPK signal cascade, transcription factors, followed by activation of antioxidant and ion transporters, were identified to participate in regulating salt response in cotton.ConclusionsOur results not only contribute to understand the mechanism of cotton response to salt stress, but also provide nine candidate genes, which might be used for molecular breeding to improve salt-tolerance in cotton.

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