scholarly journals Transcriptome Analysis and miRNA Target Profiling at Various Stages of Root-Knot Nematode Meloidogyne incognita Development for Identification of Potential Regulatory Networks

2021 ◽  
Vol 22 (14) ◽  
pp. 7442
Author(s):  
Vimalraj Mani ◽  
Awraris Derbie Assefa ◽  
Bum-Soo Hahn
Keyword(s):  
Life Cycle ◽  
Heat Shock ◽  
Meloidogyne Incognita ◽  
Mirna Target ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Integrated Analysis ◽  
Qrt Pcr ◽  
Mrna Targets ◽  
Related Proteins

Root-knot nematodes (RKNs) are a group of plant-parasitic nematodes that cause damage to various plant species and extensive economical losses. In this study, we performed integrated analysis of miRNA and mRNA expression data to explore the regulation of miRNA and mRNA in RKNs. In particular, we aimed to elucidate the mRNA targets of Meloidogyne incognita miRNAs and variations of the RKN transcriptome during five stages of its life cycle. Stage-wise RNA sequencing of M. incognita resulted in clean read numbers of 56,902,902, 50,762,456, 40,968,532, 47,309,223, and 51,730,234 for the egg, J2, J3, J4, and female stages, respectively. Overall, stage-dependent mRNA sequencing revealed that 17,423 genes were expressed in the transcriptome of M. incognita. The egg stage showed the maximum number of transcripts, and 12,803 gene transcripts were expressed in all stages. Functional Gene Ontology (GO) analysis resulted in three main GO classes: biological process, cellular components, and molecular function; the detected sequences were longer than sequences in the reference genome. Stage-wise selected fragments per kilobase of transcript per million mapped reads (FPKM) values of the top 10 stage-specific and common mRNAs were used to construct expression profiles, and 20 mRNAs were validated through quantitative real-time PCR (qRT-PCR). Next, we used three target prediction programs (miRanda, RNAhybrid, and PITA) to obtain 2431 potential target miRNA genes in RKNs, which regulate 8331 mRNAs. The predicted potential targets of miRNA were generally involved in cellular and metabolic processes, binding of molecules in the cell, membranes, and organelles. Stage-wise miRNA target analysis revealed that the egg stage contains heat shock proteins, transcriptional factors, and DNA repair proteins, whereas J2 includes DNA replication, heat shock, and ubiquitin-conjugating pathway-related proteins; the J3 and J4 stages are represented by the major sperm protein domain and translation-related proteins, respectively. In the female stage, we found proteins related to the maintenance of molybdopterin-binding domain-containing proteins and ubiquitin-mediated protein degradation. In total, 29 highly expressed stage-specific mRNA-targeting miRNAs were analyzed using qRT-PCR to validate the sequence analysis data. Overall, our findings provide new insights into the molecular mechanisms occurring at various developmental stages of the RKN life cycle, thus aiding in the identification of potential control strategies.

scholarly journals Genome-wide investigation of microRNAs and expression profiles during rhizome development in ginger (Zingiber officinale Roscoe)

BMC Genomics ◽  
2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Haitao Xing ◽  
Yuan Li ◽  
Yun Ren ◽  
Ying Zhao ◽  
Xiaoli Wu ◽  
...  
Keyword(s):  
Mirna Target ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Qrt Pcr ◽  
Putative Target ◽  
Genome Wide ◽  
Ginger Rhizome ◽  
Rhizome Development

Abstract Background MicroRNAs (miRNAs) are endogenous, non-coding small functional RNAs that govern the post-transcriptional regulatory system of gene expression and control the growth and development of plants. Ginger is an herb that is well-known for its flavor and medicinal properties. The genes involved in ginger rhizome development and secondary metabolism have been discovered, but the genome-wide identification of miRNAs and their overall expression profiles and targets during ginger rhizome development are largely unknown. In this study, we used BGISEQ-500 technology to perform genome-wide identification of miRNAs from the leaf, stem, root, flower, and rhizome of ginger during three development stages. Results In total, 104 novel miRNAs and 160 conserved miRNAs in 28 miRNA families were identified. A total of 181 putative target genes for novel miRNAs and 2772 putative target genes for conserved miRNAs were predicted. Transcriptional factors were the most abundant target genes of miRNAs, and 17, 9, 8, 4, 13, 8, 3 conserved miRNAs and 5, 7, 4, 5, 5, 15, 9 novel miRNAs showed significant tissue-specific expression patterns in leaf, stem, root, flower, and rhizome. Additionally, 53 miRNAs were regarded as rhizome development-associated miRNAs, which mostly participate in metabolism, signal transduction, transport, and catabolism, suggesting that these miRNAs and their target genes play important roles in the rhizome development of ginger. Twelve candidate miRNA target genes were selected, and then, their credibility was confirmed using qRT-PCR. As the result of qRT-PCR analysis, the expression of 12 candidate target genes showed an opposite pattern after comparison with their miRNAs. The rhizome development system of ginger was observed to be governed by miR156, miR319, miR171a_2, miR164, and miR529, which modulated the expression of the SPL, MYB, GRF, SCL, and NAC genes, respectively. Conclusion This is a deep genome-wide investigation of miRNA and identification of miRNAs involved in rhizome development in ginger. We identified 52 rhizome-related miRNAs and 392 target genes, and this provides an important basis for understanding the molecular mechanisms of the miRNA target genes that mediate rhizome development in ginger.

scholarly journals Genome-wide expression profiling in colorectal cancer focusing on lncRNAs in the adenoma-carcinoma transition

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Alexandra Kalmár ◽  
Zsófia Brigitta Nagy ◽  
Orsolya Galamb ◽  
István Csabai ◽  
András Bodor ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Differential Expression ◽  
Colorectal Adenoma ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Aberrant Expression ◽  
Array Data ◽  
Lncrna Expression ◽  
Qrt Pcr ◽  
Mrna Targets

Abstract Background Long non-coding RNAs (lncRNAs) play a fundamental role in colorectal cancer (CRC) development, however, lncRNA expression profiles in CRC and its precancerous stages remain to be explored. We aimed to study whole genomic lncRNA expression patterns in colorectal adenoma–carcinoma transition and to analyze the underlying functional interactions of aberrantly expressed lncRNAs. Methods LncRNA expression levels of colonic biopsy samples (20 CRCs, 20 adenomas (Ad), 20 healthy controls (N)) were analyzed with Human Transcriptome Array (HTA) 2.0. Expression of a subset of candidates was verified by qRT-PCR and in situ hybridization (ISH) analyses. Furthermore, in silico validation was performed on an independent HTA 2.0, on HGU133Plus 2.0 array data and on the TCGA COAD dataset. MiRNA targets of lncRNAs were predicted with miRCODE and lncBase v2 algorithms and miRNA expression was analyzed on miRNA3.0 Array data. MiRNA-mRNA target prediction was performed using miRWALK and c-Met protein levels were analyzed by immunohistochemistry. Comprehensive lncRNA-mRNA-miRNA co-expression pattern analysis was also performed. Results Based on our HTA results, a subset of literature-based CRC-associated lncRNAs showed remarkable expression changes already in precancerous colonic lesions. In both Ad vs. normal and CRC vs. normal comparisons 16 lncRNAs, including downregulated LINC02023, MEG8, AC092834.1, and upregulated CCAT1, CASC19 were identified showing differential expression during early carcinogenesis that persisted until CRC formation (FDR-adjusted p < 0.05). The intersection of CRC vs. N and CRC vs. Ad comparisons defines lncRNAs characteristic of malignancy in colonic tumors, where significant downregulation of LINC01752 and overexpression of UCA1 and PCAT1 were found. Two candidates with the greatest increase in expression in the adenoma-carcinoma transition were further confirmed by qRT-PCR (UCA1, CCAT1) and by ISH (UCA1). In line with aberrant expression of certain lncRNAs in tumors, the expression of miRNA and mRNA targets showed systematic alterations. For example, UCA1 upregulation in CRC samples occurred in parallel with hsa-miR-1 downregulation, accompanied by c-Met target mRNA overexpression (p < 0.05). Conclusion The defined lncRNA sets may have a regulatory role in the colorectal adenoma-carcinoma transition. A subset of CRC-associated lncRNAs showed significantly differential expression in precancerous samples, raising the possibility of developing adenoma-specific markers for early detection of colonic lesions.

Identification of odorant-binding protein genes inGaleruca daurica(Coleoptera: Chrysomelidae) and analysis of their expression profiles

2017 ◽  
Vol 107 (4) ◽  
pp. 550-561 ◽  
Author(s):  
L. Li ◽  
Y.-T. Zhou ◽  
Y. Tan ◽  
X.-R. Zhou ◽  
B.-P. Pang
Keyword(s):  
Amino Acid ◽  
Molecular Mechanisms ◽  
Insect Pests ◽  
Expression Profiles ◽  
Open Reading Frames ◽  
Amino Acid Residues ◽  
Expression Levels ◽  
Molecular Weights ◽  
Related Proteins ◽  
Odorant Binding

AbstractOdorant-binding proteins (OBPs) play a fundamental role in insect olfaction. In recent years,Galeruca daurica(Joannis) (Coleoptera: Chrysomelidae) has become one of the most important insect pests in the Inner Mongolian grasslands of China. This pest only feeds on the species ofAlliumplants, implying the central role of olfaction in its search for specific host plants. However, the olfaction-related proteins have not been investigated in this beetle. In this study, we identified 29 putative OBP genes, namely GdauOBP1–29, from the transcriptome database ofG. dauricaassembled in our laboratory by using RNA-Seq. All 29 genes had the full-length open reading frames except GdauOBP29, encoding proteins in length from 119 to 202 amino acids with their predicted molecular weights from 12 to 22 kDa with isoelectric points from 3.88 to 8.84. Predicted signal peptides consisting of 15–22 amino acid residues were found in all except GdauOBP6, GdauOBP13 and GdauOBP29. The amino acid sequence identity between the 29 OBPs ranged 8.33–71.83%. GdauOBP1–12 belongs to the Classic OBPs, while the others belong with the Minus-C OBPs. Phylogenetic analysis indicated that GdauOBPs are the closest to CbowOBPs fromColaphellus bowringi. RT-PCR and qRT-PCR analyses showed that all GdauOBPs were expressed in adult antennae, 11 of which with significant differences in their expression levels between males and females. Most GdauOBPs were also expressed in adult heads (without antennae), thoraxes, abdomens, legs and wings. Moreover, the expression levels of the GdauOBPs varied during the different development stages ofG. dauricawith most GdauOBPs expressed highly in the adult antennae but scarcely in eggs and pupae. These results provide insights for further research on the molecular mechanisms of chemical communications inG. daurica.

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 Transcriptomic Analysis of Biological Process and Key Pathway in Three Cotton (Gossypium spp.) Species Under Drought Stress

2019 ◽  
Vol 20 (9) ◽  
pp. 2076 ◽  
Author(s):  
Md Mosfeq-Ul Hasan ◽  
Fanglu Ma ◽  
Faisal Islam ◽  
Muhammad Sajid ◽  
Zakaria H. Prodhan ◽  
...  
Keyword(s):  
Drought Stress ◽  
Heat Shock ◽  
Drought Tolerance ◽  
Heat Shock Protein ◽  
Molecular Mechanisms ◽  
Biological Process ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Small Heat Shock Protein ◽  
Cotton Species

Drought is one of the most important abiotic stresses that seriously affects cotton growth, development, and production worldwide. However, the molecular mechanism, key pathway, and responsible genes for drought tolerance incotton have not been stated clearly. In this research, high-throughput next generation sequencing technique was utilized to investigate gene expression profiles of three cotton species (Gossypium hirsutum, Gossypium arboreum, and Gossypium barbadense L.) under drought stress. A total of 6968 differentially expressed genes (DEGs) were identified, where 2053, 742, and 4173 genes were tested as statistically significant; 648, 320, and 1998 genes were up-regulated, and 1405, 422, and 2175 were down-regulated in TM-1, Zhongmian-16, and Pima4-S, respectively. Total DEGs were annotated and classified into functional groups under gene ontology analysis. The biological process was present only in tolerant species(TM-1), indicating drought tolerance condition. The Kyoto encyclopedia of genes and genomes showed the involvement of plant hormone signal transduction and metabolic pathways enrichment under drought stress. Several transcription factors associated with ethylene-responsive genes (ICE1, MYB44, FAMA, etc.) were identified as playing key roles in acclimatizing to drought stress. Drought also caused significant changes in the expression of certain functional genes linked to abscisic acid (ABA) responses (NCED, PYL, PP2C, and SRK2E), reactive oxygen species (ROS) related in small heat shock protein and 18.1 kDa I heat shock protein, YLS3, and ODORANT1 genes. These results will provide deeper insights into the molecular mechanisms of drought stress adaptation in cotton.

scholarly journals Construction of a circRNA - Mediated ceRNA Network Reveals Novel Biomarkers for Aortic Dissection

2021 ◽  
Author(s):  
De-Bin Liu ◽  
You-Fu He ◽  
Gui-Jian Chen ◽  
Hua Huang ◽  
Xu-Ling Xie ◽  
...  
Keyword(s):  
Aortic Dissection ◽  
Regulatory Network ◽  
Molecular Mechanisms ◽  
Kegg Pathway ◽  
Expression Profiles ◽  
Differentially Expressed ◽  
Receptor Interaction ◽  
Qrt Pcr ◽  
Cerna Network ◽  
Arterial Blood

Abstract Background Aortic dissection (AD) is a rare and lethal disorder with its genetic basis remains largely unknown. Many studies have confirmed that circular RNAs (circRNAs) play important roles in various physiological and pathological processes. However, the roles of circRNAs in AD are still unclear and need further investigation. The present study aimed to elucidate the underlying molecular mechanisms of circRNAs regulation in aortic dissection based on the circRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network. Methods Expression profiles of circRNAs (GSE97745), miRNAs (GSE92427), and mRNAs (GSE52093) were downloaded from Gene Expression Omnibus (GEO) databases, and the differentially expressed RNAs (DERNAs) were subsequently identified in AD by bioinformatics analysis. Further bioinformatics analyses, including circRNA-miRNA-mRNA ceRNA network, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, were used to predict the potential functions of circRNA-associated ceRNA regulatory network. RNA was isolated from human arterial blood samples after which quantitative real-time PCR (qRT-PCR) was performed to confirm the DERNAs. Results We identified 14 (5 up-regulated and 9 down-regulated) differentially expressed circRNAs (DEcircRNAs), 17 (8 up-regulated and 9 down-regulated) differentially expressed miRNAs (DEmiRNAs) and 527 (297 up-regulated and 230 down-regulated) differentially expressed mRNAs (DEmRNAs) when AD samples were compared with normal ascending aorta samples (adjusted P-value < 0.05 and | log2FC |> 1.0). KEGG pathway analysis indicated that DEmRNAs were related to focal adhesion and extracellular matrix (ECM) receptor interaction signaling pathways. Simultaneously, the present study successfully constructed a ceRNA regulatory network based on 1 circRNAs (hsa_circRNA_082317), 1 miRNAs (hsa-miR-149-3p) and 10 mRNAs (MLEC, ENTPD7, SLC16A3, SLC7A8, TBC1D16, PAQR4, MAPK13, PIK3R2, ITGA5, SERPINA1) in AD. Furthermore, qRT-PCR demonstrated that hsa_circRNA_082317 andα5 integrin (ITGA5) were significantly up-regulated in AD (n = 3), and hsa-miR-149-3p was dramatically down-regulated in AD (n = 3). The expression of hsa-miR-149-3p target mRNA, ITGA5, was positively modulated by hsa_circRNA_082317. Conclusion This is the first study to demonstrate the circRNA-associated ceRNA regulatory network is altered in AD, implying that circRNAs may play important roles in regulating the onset and progression of AD and thus may serve as potential biomarkers for the diagnosis and treatment of AD.

scholarly journals Integrated Analysis of Circular RNA-Associated ceRNA Network Reveals Potential circRNA Biomarkers in Human Breast Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Han Sheng ◽  
Huan Pan ◽  
Ming Yao ◽  
Longsheng Xu ◽  
Jianju Lu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Survival Analysis ◽  
Correlation Analysis ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Circular Rna ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Cerna Network

Circular RNA (circRNA) is closely related to tumorigenesis and cancer progression. Yet, the roles of cancer-specific circRNAs in the circRNA-related ceRNA network of breast cancer (BRCA) remain unclear. The aim of this study was to construct a ceRNA network associated with circRNA and to explore new therapeutic and prognostic targets and biomarkers for breast cancer. We downloaded the circRNA expression profile of BRCA from Gene Expression Omnibus (GEO) microarray datasets and downloaded the miRNA and mRNA expression profiles of BRCA from The Cancer Genome Atlas (TCGA) database. Differentially expressed mRNAs (DEmRNAs), differentially expressed miRNAs (DEmiRNAs), and differentially expressed circRNAs (DEcircRNAs) were identified, and a competitive endogenous RNA (ceRNA) regulatory network was constructed based on circRNA–miRNA pairs and miRNA–mRNA pairs. Gene ontology and pathway enrichment analyses were performed on mRNAs regulated by circRNAs in ceRNA networks. Survival analysis and correlation analysis of all mRNAs and miRNAs in the ceRNA network were performed. A total of 72 DEcircRNAs, 158 DEmiRNAs, and 2762 DE mRNAs were identified. The constructed ceRNA network contains 60 circRNA–miRNA pairs and 140 miRNA–mRNA pairs, including 40 circRNAs, 30 miRNAs, and 100 mRNAs. Functional enrichment indicated that DEmRNAs regulated by DEcircRNAs in ceRNA networks were significantly enriched in the PI3K-Akt signaling pathway, microRNAs in cancer, and proteoglycans in cancer. Survival analysis and correlation analysis of all mRNAs and miRNAs in the ceRNA network showed that 13 mRNAs and 6 miRNAs were significantly associated with overall survival, and 48 miRNA–mRNA interaction pairs had a significant negative correlation. A PPI network was established, and 21 hub genes were determined from the network. This study provides an effective bioinformatics basis for further understanding of the molecular mechanisms and predictions of breast cancer. A better understanding of the circRNA-related ceRNA network in BRCA will help identify potential biomarkers for diagnosis and prognosis.

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

2020 ◽  
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 and mRNA Reveals Novel Insights into the Fertility Regulation of Large White Sows

2020 ◽  
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.

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