148 FOLLICULAR FLUID microRNA SEQUENCES AS BIOMARKERS OF COMPETENT OOCYTES IN CATTLE

2016 ◽  
Vol 28 (2) ◽  
pp. 204
Author(s):  
R. Pasquariello ◽  
N. Fiandanese ◽  
A. Viglino ◽  
P. Pocar ◽  
J. L. Williams ◽  
...  
Keyword(s):  
Follicular Fluid ◽  
Target Genes ◽  
Oocyte Quality ◽  
Cellular Adhesion ◽  
Differentially Expressed ◽  
Transcriptional Level ◽  
Developmental Potential ◽  
Go Analysis ◽  
Antral Follicles ◽  
Differentially Expressed Mirnas

Oocyte developmental competence is correlated with antral follicle count through ill-defined mechanisms. Oocytes from ovaries with fewer than 10 mid-antral follicles of 2 to 6 mm in diameter (low group) show reduced competence compared with those from ovaries with more than 10 follicles (high group). To unravel mechanisms underlying this phenomenon, this work explored the role of follicular fluid microRNAs (miRNAs, short non-coding RNAs regulating gene expression at the post-transcriptional level). A total of 3 pools of 300 µL of follicular fluid (FF) were collected from mid-antral follicles of low (L) and high (H) groups, respectively. Following miRNA extraction and library preparation, deep sequencing was carried out on Illumina HisEqn 2000 (Illumina Inc., San Diego, CA, USA). Differentially expressed miRNAs were identified with R package edgeR (http://bioconductor.org/packages/release/bioc/html/edgeR.html). Target genes of differentially expressed miRNAs were predicted with DIANA miRPath using homologous human miRNA and gene union options (P < 0.01). Gene ontology (GO) analysis was carried out by Cytoscape (http://www.cytoscape.org/) using a bovine database. In total, 1279 miRNAs were identified in FF: 805 ± 139 in L and 862 ± 36 in H (P > 0.05). We found that 27 miRNAs were differentially expressed (false discovery rate ≤0.001): 17 were up-regulated in L and 10 in H. Up-regulated miRNAs in L group were predicted to target 121 genes, 39 of which are specific for ovarian function (e.g. BCL2, FOXO3, KIT, TP53, and PTK2). The GO analysis indicated that these genes were kinases, anti-apoptotic and oncogenic factors, and enriched stress-activated MAPK cascade mediated by oxygen reactive species, G1/S transition checkpoint, cellular response to interleukin-1, and negative regulation of cellular adhesion. Overexpressed miRNAs in H group were predicted to target 92 genes, 22 of which (e.g. MAPK, APC, JNK, PKA) are involved in folliculogenesis. These genes were represented by kinases, apoptotic and cytoskeleton remodelling factors, and enriched very important ovarian processes such as cell cycle, ephrin receptor, smoothened and phosphatidylinositol 3-kinase activity GO processes. Only 7 target genes were common between the 2 groups, 2 of which were important in ovarian functionality (CDKN1A and ITGA5). Interestingly, overexpressed miRNAs in both groups regulate several genes involved in processes apparently not related to folliculogenesis. Finally, regulation can be exerted also by low levels of specific miRNAs such as miR-320, which was reduced in L group and is known to be associated with premature ovarian senescence in women and decreased developmental potential of mouse oocytes. Our results indicate that the different oocyte quality is associated with a different miRNA blueprint, which may alter the expression of several genes relevant for intra- and extra-ovarian processes. Further studies will be necessary to determine if FF miRNAs can act outside the ovary and if their levels can be detected in the bloodstream thereby becoming possible noninvasive, real-time markers to determine oocyte quality in living animals. This study was supported by FP7-KBBE-2012-FECUND-312097.

Bioinformatics Analysis Reveals Functions of MicroRNAs in Rice Under the Drought Stress

2021 ◽  
Vol 15 (8) ◽  
pp. 927-936 ◽  
Author(s):  
Yan Peng ◽  
Yuewu Liu ◽  
Xinbo Chen
Keyword(s):  
Drought Stress ◽  
Target Genes ◽  
Hot Spot ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Protein Protein Interaction ◽  
Promising Tool ◽  
Differentially Expressed Mirnas ◽  
Aba Biosynthesis

Background: Drought is one of the most damaging and widespread abiotic stresses that can severely limit the rice production. MicroRNAs (miRNAs) act as a promising tool for improving the drought tolerance of rice and have become a hot spot in recent years. Objective: In order to further extend the understanding of miRNAs, the functions of miRNAs in rice under drought stress are analyzed by bioinformatics. Method: In this study, we integrated miRNAs and genes transcriptome data of rice under the drought stress. Some bioinformatics methods were used to reveal the functions of miRNAs in rice under drought stress. These methods included target genes identification, differentially expressed miRNAs screening, enrichment analysis of DEGs, network constructions for miRNA-target and target-target proteins interaction. Results: (1) A total of 229 miRNAs with differential expression in rice under the drought stress, corresponding to 73 rice miRNAs families, were identified. (2) 1035 differentially expressed genes (DEGs) were identified, which included 357 up-regulated genes, 542 down-regulated genes and 136 up/down-regulated genes. (3) The network of regulatory relationships between 73 rice miRNAs families and 1035 DEGs was constructed. (4) 25 UP_KEYWORDS terms of DEGs, 125 GO terms and 7 pathways were obtained. (5) The protein-protein interaction network of 1035 DEGs was constructed. Conclusion: (1) MiRNA-regulated targets in rice might mainly involve in a series of basic biological processes and pathways under drought conditions. (2) MiRNAs in rice might play critical roles in Lignin degradation and ABA biosynthesis. (3) MiRNAs in rice might play an important role in drought signal perceiving and transduction.

scholarly journals MicroRNA sequence analysis identifies microRNAs associated with peri-implantitis in dogs

2017 ◽  
Vol 37 (5) ◽  
Author(s):  
Xiaolin Wu ◽  
Xipeng Chen ◽  
Wenxiang Mi ◽  
Tingting Wu ◽  
Qinhua Gu ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Target Genes ◽  
Alveolar Bone ◽  
Biological Effects ◽  
Bone Destruction ◽  
Mapk Signaling ◽  
Differentially Expressed ◽  
Mitogen Activated Protein Kinase ◽  
Mirna Sequence ◽  
Differentially Expressed Mirnas

Peri-implantitis, which is characterized by dense inflammatory infiltrates and increased osteoclast activity, can lead to alveolar bone destruction and implantation failure. miRNAs participate in the regulation of various inflammatory diseases, such as periodontitis and osteoporosis. Therefore, the present study aimed to investigate the differential expression of miRNAs in canine peri-implantitis and to explore the functions of their target genes. An miRNA sequence analysis was used to identify differentially expressed miRNAs in peri-implantitis. Under the criteria of a fold-change >1.5 and P<0.01, 8 up-regulated and 30 down-regulated miRNAs were selected for predictions of target genes and their biological functions. Based on the results of Gene Ontology (GO) and KEGG pathway analyses, these miRNAs may fine-tune the inflammatory process in peri-implantitis through an intricate mechanism. The results of quantitative real-time PCR (qRT-PCR) revealed that let-7g, miR-27a, and miR-145 may play important roles in peri-implantitis and are worth further investigation. The results of the present study provide insights into the potential biological effects of the differentially expressed miRNAs, and specific enrichment of target genes involved in the mitogen-activated protein kinase (MAPK) signaling pathway was observed. These findings highlight the intricate and specific roles of miRNAs in inflammation and osteoclastogenesis, both of which are key aspects of peri-implantitis, and thus may contribute to future investigations of the etiology, underlying mechanism, and treatment of peri-implantitis.

Drugs used to treat bipolar disorder act via microRNAs to regulate expression of genes involved in neurite outgrowth

2020 ◽  
Vol 34 (3) ◽  
pp. 370-379 ◽  
Author(s):  
Srisaiyini Kidnapillai ◽  
Ben Wade ◽  
Chiara C Bortolasci ◽  
Bruna Panizzutti ◽  
Briana Spolding ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Neurite Outgrowth ◽  
Neural Plasticity ◽  
Drug Combination ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Drug Effects ◽  
Differentially Expressed ◽  
Transcriptional Level ◽  
Expression Of Genes

Background: The drugs commonly used to treat bipolar disorder have limited efficacy and drug discovery is hampered by the paucity of knowledge of the pathophysiology of this disease. This study aims to explore the role of microRNAs in bipolar disorder and understand the molecular mechanisms of action of commonly used bipolar disorder drugs. Methods: The transcriptional effects of bipolar disorder drug combination (lithium, valproate, lamotrigine and quetiapine) in cultured human neuronal cells were studied using next generation sequencing. Differential expression of genes ( n=20) and microRNAs ( n=6) was assessed and the differentially expressed microRNAs were confirmed with TaqMan MicroRNA Assays. The expression of the differentially expressed microRNAs were inhibited to determine bipolar disorder drug effects on their target genes ( n=8). Independent samples t-test was used for normally distributed data and Kruskal-Wallis/Mann-Whitney U test was used for data not distributed normally. Significance levels were set at p<0.05. Results: We found that bipolar disorder drugs tended to increase the expression of miR-128 and miR-378 ( p<0.05). Putative target genes of these microRNAs targeted pathways including those identified as “neuron projection development” and “axonogenesis”. Many of the target genes are inhibitors of neurite outgrowth and neurogenesis and were downregulated following bipolar disorder drug combination treatment (all p<0.05). The bipolar disorder drug combination tended to decrease the expression of the target genes ( NOVA1, GRIN3A, and VIM), however this effect could be reversed by the application of microRNA inhibitors. Conclusions: We conclude that at a transcriptional level, bipolar disorder drugs affect several genes in concert that would increase neurite outgrowth and neurogenesis and hence neural plasticity, and that this effect is mediated (at least in part) by modulation of the expression of these two key microRNAs.

scholarly journals Identification of New miRNA-mRNA Networks in the Development of Non-syndromic Cleft Lip With or Without Cleft Palate

2021 ◽  
Vol 9 ◽  
Author(s):  
Chengyi Fu ◽  
Shu Lou ◽  
Guirong Zhu ◽  
Liwen Fan ◽  
Xin Yu ◽  
...  
Keyword(s):  
Cell Proliferation ◽  
Cleft Palate ◽  
Negative Correlation ◽  
Cell Apoptosis ◽  
Cleft Lip ◽  
Target Genes ◽  
Craniofacial Development ◽  
Differentially Expressed ◽  
Differentially Expressed Mirnas

Objective: To identify new microRNA (miRNA)-mRNA networks in non-syndromic cleft lip with or without cleft palate (NSCL/P).Materials and Methods: Overlapping differentially expressed miRNAs (DEMs) were selected from cleft palate patients (GSE47939) and murine embryonic orofacial tissues (GSE20880). Next, the target genes of DEMs were predicted by Targetscan, miRDB, and FUNRICH, and further filtered through differentially expressed genes (DEGs) from NSCL/P patients and controls (GSE42589), MGI, MalaCards, and DECIPHER databases. The results were then confirmed by in vitro experiments. NSCL/P lip tissues were obtained to explore the expression of miRNAs and their target genes.Results: Let-7c-5p and miR-193a-3p were identified as DEMs, and their overexpression inhibited cell proliferation and promoted cell apoptosis. PIGA and TGFB2 were confirmed as targets of let-7c-5p and miR-193a-3p, respectively, and were involved in craniofacial development in mice. Negative correlation between miRNA and mRNA expression was detected in the NSCL/P lip tissues. They were also associated with the occurrence of NSCL/P based on the MGI, MalaCards, and DECIPHER databases.Conclusions: Let-7c-5p-PIGA and miR-193a-3p-TGFB2 networks may be involved in the development of NSCL/P.

scholarly journals Identification of cold stress responsive microRNAs in cold tolerant and susceptible Hemerocallis fulva by high throughput sequencing

2020 ◽  
Author(s):  
Changbing Huang ◽  
Chun Jiang ◽  
limin Jin ◽  
Huanchao Zhang
Keyword(s):  
Low Temperature ◽  
Cold Stress ◽  
Cold Tolerance ◽  
Temperature Stress ◽  
Stress Responses ◽  
Target Genes ◽  
Low Temperature Stress ◽  
Differentially Expressed ◽  
Differentially Expressed Mirnas ◽  
Cold Tolerant

Abstract Background:Hemerocallis fulva is a perennial herb belonging to Hemerocallis of Hemerocallis. Because of the large and bright colors, it is often used as a garden ornamental plant. But most varieties of H. fulva on the market will wither in winter, which will affect their beauty. It is very important to study the effect of low temperature stress on the physiological indexes of H. fulva and understand the cold tolerance of different H. fulva. MiRNA is a kind of endogenous non coding small molecular RNA with length of 21-24nt. It mainly inhibits protein translation by cutting target genes, and plays an important role in the development of organisms, gene expression and biological stress. Low temperature is the main abiotic stress affecting the production of H. fulva in China, which hinders the growth and development of plants. A comprehensive understanding of the expression pattern of microRNA in H. fulva under low temperature stress can improve our understanding of microRNA mediated stress response. Although there are many studies on miRNAs of various plants under cold stress at home and abroad, there are few studies on miRNAs related to cold stress of H. fulva. It is of great significance to explore the cold stress resistant gene resources of H. fulva, especially the identification and functional research of miRNA closely related to cold stress, for the breeding of excellent H. fulva.Results A total of 5619 cold-responsive miRNAs, 315 putative novel and 5 304 conserved miRNAs, were identified from the leaves and roots of two different varieties ‘Jinyan’ (cold-tolerant) and ‘Lucretius ’ (cold-sensitive), which were stressed under -4 oC for 24 h. Twelve conserved and three novel miRNAs (novel-miR10, novel-miR19 and novel-miR48) were differentially expressed in leaves of ‘Jinyan’ under cold stress. Novel-miR19, novel-miR29 and novel-miR30 were up-regulated in roots of ‘Jinyan’ under cold stress. Thirteen and two conserved miRNAs were deferentially expressed in leaves and roots of ‘Lucretius’ after cold stress. The deferentially expressed miRNAs between two cultivars under cold stress include novel miRNAs and the members of the miR156, miR166 and miR319 families. A total of 6 598 target genes for 6 516 known miRNAs and 82 novel miRNAs were predicted by bioinformatic analysis, mainly involved in metabolic processes and stress responses. Ten differentially expressed miRNAs and predicted target genes were confirmed by quantitative reverse transcription PCR(q-PCR), and the expressional changes of target genes were negatively correlated to differentially expressed miRNAs. Our data indicated that some candidate miRNAs (e.g., miR156a-3-p, miR319a, and novel-miR19) may play important roles in plant response to cold stress.Conclusions Our study indicates that some putative target genes and miRNA mediated metabolic processes and stress responses are significant to cold tolerance in H. fulva.

scholarly journals Construction and validation of a novel prognostic signature of microRNAs in lung adenocarcinoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10470
Author(s):  
Wanzhen Li ◽  
Shiqing Liu ◽  
Shihong Su ◽  
Yang Chen ◽  
Gengyun Sun
Keyword(s):  
Lung Adenocarcinoma ◽  
Signaling Pathway ◽  
Prognostic Value ◽  
Target Genes ◽  
Predictive Accuracy ◽  
Differentially Expressed ◽  
Prognostic Signature ◽  
Tissue Samples ◽  
Gene Set ◽  
Differentially Expressed Mirnas

MicroRNA (miRNA, miR) has been reported to be highly implicated in a wide range of biological processes in lung cancer (LC), and identification of differentially expressed miRNAs between normal and LC samples has been widely used in the discovery of prognostic factors for overall survival (OS) and response to therapy. The present study was designed to develop and evaluate a miRNA-based signature with prognostic value for the OS of lung adenocarcinoma (LUAD), a common histologic subtype of LC. In brief, the miRNA expression profiles and clinicopathological factors of 499 LUAD patients were collected from The Cancer Genome Atlas (TCGA) database. Kaplan–Meier (K-M) survival analysis showed significant correlations between differentially expressed miRNAs and LUAD survival outcomes. Afterward, 1,000 resample LUAD training matrices based on the training set was applied to identify the potential prognostic miRNAs. The least absolute shrinkage and selection operator (LASSO) cox regression analysis was used to constructed a six-miRNA based prognostic signature for LUAD patients. Samples with different risk scores displayed distinct OS in K-M analysis, indicating considerable predictive accuracy of this signature in both training and validation sets. Furthermore, time-dependent receiver operating characteristic (ROC) analysis demonstrated the nomogram achieved higher predictive accuracy than any other clinical variables after incorporating the clinical information (age, sex, stage, and recurrence). In the stratification analysis, the prognostic value of this classifier in LUAD patients was validated to be independent of other clinicopathological variables, such as age, gender, tumor recurrence, and early stage. Gene set annotation analyses were also conducted through the Hallmark gene set and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, indicating target genes of the six miRNAs were positively related to various molecular pathways of cancer, such as hallmark UV response, Wnt signaling pathway and mTOR signaling pathway. In addition, fresh cancer tissue samples and matched adjacent tissue samples from 12 LUAD patients were collected to verify the expression of miR-582’s target genes in the model, further revealing the potential relationship between SOX9, RASA1, CEP55, MAP4K4 and LUAD tumorigenesis, and validating the predictive value of the model. Taken together, the present study identified a robust signature for the OS prediction of LUAD patients, which could potentially aid in the individualized selection of therapeutic approaches for LUAD patients.

scholarly journals Plasma-Derived Exosomal hsa-miR-4488 and hsa-miR-1228-5p: Novel Biomarkers for Dermatomyositis-Associated Interstitial Lung Disease with Anti-Melanoma Differentiation-Associated Protein 5 Antibody-Positive Subset

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Danli Zhong ◽  
Chanyuan Wu ◽  
Dong Xu ◽  
Jingjing Bai ◽  
Qian Wang ◽  
...  
Keyword(s):  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Target Genes ◽  
Homo Sapiens ◽  
Differentially Expressed ◽  
Transmission Electron ◽  
Exosomal Mirnas ◽  
Differentially Expressed Mirnas ◽  
Novel Biomarkers ◽  
And Gender

The present study is aimed at profiling circulating exosome-derived microRNAs (miRNAs/miRs) from patients with dermatomyositis (DM), in particular those complicated with interstitial lung disease (ILD) with anti-melanoma differentiation-associated protein 5 (MDA5) antibody-positive. Fifteen participants were enrolled, including five patients with DM complicated with ILDs prior to treatment with circulating anti-MDA5 antibody-positive status [DM-ILD-MDA5 Ab(+)], five DM patients without ILDs who were negative for 16 detectable myositis-specific antibodies [DM-nonILD-MSA16(-)], and five age- and gender-matched healthy donor controls (HCs). The characteristics of the exosomes extracted by Ribo™ Exosome Isolation Reagent were identified using transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and flow cytometry. Differentially expressed miRNAs, determined by next-generation deep sequencing, were identified through the criteria of ∣ log 2   fold   change ∣ ≥ 1 and P < 0.01 . A total of 38 miRNAs were significantly upregulated in exosomes from patients with DM-ILD-MDA5 Ab(+) compared to those from HC, while 21 miRNAs were significantly downregulated. Compared to exosomes derived from patients with DM-nonILD-MSA16(-), 51 miRNAs were significantly upregulated and 33 miRNAs were significantly downregulated from patients with DM-ILD-MDA5 Ab(+). A total of 73 exosomal miRNAs were significantly differentially expressed between DM-nonILD-MSA16(-) and HC. In particular, two miRNAs, Homo sapiens- (hsa-) miR-4488 and hsa-miR-1228-5p, were common differentially expressed miRNAs among three comparisons. GO and KEGG analyses suggested that several pathways may contribute the pathogenesis of DM-ILD-MDA5 Ab(+) and DM-nonILD-MSA16(-), while PPI network analysis of hsa-miR-4488 and hsa-miR-1228-5p indicated that their predicted target genes, DExD-box helicase 39B and MDM2, may be involved in the mechanisms of DM-ILD-MDA5 Ab(+).

scholarly journals Identification of microRNAs and genes as biomarkers of atrial fibrillation using a bioinformatics approach

2019 ◽  
Vol 47 (8) ◽  
pp. 3580-3589 ◽  
Author(s):  
Yingyuan Li ◽  
Wulin Tan ◽  
Fang Ye ◽  
Faling Xue ◽  
Shaowei Gao ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Control Groups ◽  
Protein Protein Interaction ◽  
Differentially Expressed Mirnas ◽  
Software Modules ◽  
And Control

Objective We aimed to explore potential microRNAs (miRNAs) and target genes related to atrial fibrillation (AF). Methods Data for microarrays GSE70887 and GSE68475, both of which include AF and control groups, were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs between AF and control groups were identified within each microarray, and the intersection of these two sets was obtained. These miRNAs were mapped to target genes in the miRNet database. Functional annotation and enrichment analysis of these target genes was performed in the DAVID database. The protein-protein interaction (PPI) network from the STRING database and the miRNA-target-gene network were merged into a PPI-miRNA network using Cytoscape software. Modules of this network containing miRNAs were detected and further analyzed. Results Ten differentially expressed miRNAs and 1520 target genes were identified. Three PPI-miRNA modules were constructed, which contained miR-424, miR-15a, miR-542-3p, and miR-421 as well as their target genes, CDK1, CDK6, and CCND3. Conclusion The identified miRNAs and genes may be related to the pathogenesis of AF. Thus, they may be potential biomarkers for diagnosis and targets for treatment of AF.

scholarly journals Small RNA sequencing evaluation of renal microRNA biomarkers in dogs with X-linked hereditary nephropathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Candice P. Chu ◽  
Shiguang Liu ◽  
Wenping Song ◽  
Ethan Y. Xu ◽  
Mary B. Nabity
Keyword(s):  
Small Rna ◽  
Target Genes ◽  
Differentially Expressed ◽  
Small Rna Sequencing ◽  
Rna Seq ◽  
Ckd Progression ◽  
Critical Pathways ◽  
Qrt Pcr ◽  
Hereditary Nephropathy ◽  
Differentially Expressed Mirnas

AbstractDogs with X-linked hereditary nephropathy (XLHN) are an animal model for Alport syndrome in humans and progressive chronic kidney disease (CKD). Using mRNA sequencing (mRNA-seq), we have characterized the gene expression profile affecting the progression of XLHN; however, the microRNA (miRNA, miR) expression remains unknown. With small RNA-seq and quantitative RT-PCR (qRT-PCR), we used 3 small RNA-seq analysis tools (QIAGEN OmicSoft Studio, miRDeep2, and CPSS 2.0) to profile differentially expressed renal miRNAs, top-ranked miRNA target genes, and enriched biological processes and pathways in CKD progression. Twenty-three kidney biopsies were collected from 5 dogs with XLHN and 4 age-matched, unaffected littermates at 3 clinical time points (T1: onset of proteinuria, T2: onset of azotemia, and T3: advanced azotemia). We identified up to 23 differentially expressed miRNAs at each clinical time point. Five miRNAs (miR-21, miR-146b, miR-802, miR-142, miR-147) were consistently upregulated in affected dogs. We identified miR-186 and miR-26b as effective reference miRNAs for qRT-PCR. This study applied small RNA-seq to identify differentially expressed miRNAs that might regulate critical pathways contributing to CKD progression in dogs with XLHN.

scholarly journals Characterization of microRNAs during Embryonic Skeletal Muscle Development in the Shan Ma Duck

Animals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1417
Author(s):  
Chuan Li ◽  
Ting Xiong ◽  
Mingfang Zhou ◽  
Lei Wan ◽  
Suwang Xi ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Development ◽  
Target Genes ◽  
Mapk Signaling ◽  
Differentially Expressed ◽  
Mitogen Activated Protein Kinase ◽  
Luciferase Reporter ◽  
Meat Production ◽  
Skeletal Muscle Development ◽  
Differentially Expressed Mirnas

Poultry skeletal muscle provides high quality protein for humans. Study of the genetic mechanisms during duck skeletal muscle development contribute to future duck breeding and meat production. In the current study, three breast muscle samples from Shan Ma ducks at embryonic day 13 (E13) and E19 were collected, respectively. We detected microRNA (miRNA) expression using high throughput sequencing following bioinformatic analysis. qRT-PCR validated the reliability of sequencing results. We also identified target prediction results using the luciferase reporter assay. A total of 812 known miRNAs and 279 novel miRNAs were detected in six samples; as a result, 61 up-regulated and 48 down-regulated differentially expressed miRNAs were identified between E13 and E19 (|log2 fold change| ≥ 1 and p ≤ 0.05). Enrichment analysis showed that target genes of the differentially expressed miRNAs were enriched on many muscle development-related gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, especially mitogen-activated protein kinase (MAPK) signaling pathways. An interaction network was constructed using the target genes of the differentially expressed miRNAs. These results complement the current duck miRNA database and offer several miRNA candidates for future studies of skeletal muscle development in the duck.

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