Comprehensive Analysis of mRNAs and miRNAs in the Ovarian Follicles of Uniparous and Multiple Goats at Estrus Phase

Abstract Background Fertility is an important economic trait in production of meat goat, and follicular development plays an important role in fertility. Despite many mRNAs and microRNAs (miRNAs) have been found in playing critical roles in ovarian biological processes, the interactions between mRNAs and miRNAs in follicular development is not yet completely understood. In addition, less attention has been given to the single follicle (dominant or atretic follicle) in goat. The study was aimed to identify mRNAs, miRNAs and signaling pathways as well as their interaction networks in the ovarian follicles (large follicles and small follicles) of multiple and uniparous goats (Chuanzhong Black Goats) at estrus phase by using a deep RNA-sequencing (RNA-seq) method.Results The result showed that there were more large follicles in multiple than in uniparous goats ( P <0.05), while no difference was observed in small follicles between them ( P >0.05). For the small follicles of multiple and uniparous goats at estrus phase, 289 differentially expressed mRNAs (DEmRNAs) and 16 DEmiRNAs were identified; and for the large follicles, 195 DEmRNAs and 7 DEmiRNAs were identified. Ovarian steroidogenesis and steroid hormone biosynthesis were significantly enriched in small follicles, while ABC transporters and steroid hormone biosynthesis in large follicles. The results of qRT-PCR were generally consistent with the RNA-seq data. The mRNA-miRNA interaction network showed that CD36 (miR-122, miR-200a, miR-141), TNFAIP6 (miR-141, miR-200a, miR-182), CYP11A1 (miR-122), SERPINA5 (miR-1, miR-206, miR-133a-3p, miR-133b) and PTGFR (miR-182, miR-122) might be related to fertility, but need further verification.Conclusion This study provides the first identification of the DEmRNAs and DEmiRNAs as well as their interactions in the follicles of multiple and uniparous goats at estrus phase by using RNA-seq technology. These analyses provide new clues to uncover molecular mechanisms and signaling networks of goat reproduction which could be potentially used to increase ovulation rate and kidding rate in goat.

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Analysis of Expression Profiles of mRNA and lncRNA in Oviduct During Estrus Phase of Sheep (Ovis Aries) with Two Fecundity (FecB Gene) Genotypes

10.21203/rs.3.rs-119198/v1 ◽

2021 ◽

Author(s):

Weihao Chen ◽

Zhifeng Li ◽

Wei Sun ◽

Mingxing Chu

Keyword(s):

Embryo Development ◽

Molecular Mechanisms ◽

Expression Profiles ◽

Interaction Network ◽

Enrichment Analysis ◽

Ovis Aries ◽

Functional Enrichment ◽

Saga Complex ◽

Rna Seq ◽

Estrus Phase

Abstract Background:In sheep, FecB is the essential biomarker of the fertility, previous researches have provided a detailed insight on the regulation involved estrus phase and FecB in the reproductive-related tissues including hypothalamus, pituitary, and ovary. However, as the host of embryo development and connection between the ovary and the uterus, little is known about the interaction between mRNAs and lncRNAs in sheep oviduct. In the present study, RNA-Seq was performed to identify the transcriptomic profiles of mRNAs and lncRNAs in oviduct during estrus phase of sheep with FecBBB/++ genotypes.Results:In total, 21,863 lncRNAs and 43,674 mRNAs were identified, 57 DE lncRNAs and 637 DE mRNAs were revealed in the comparisons between follicular phase and luteal phase, 26 DE lncRNAs and 421 DE lncRNAs were revealed in the comparisons between FecB BB genotype and FecB ++ genotype. Functional enrichment analysis suggested that GO and KEGG terms related to reproduction such as SAGA complex, ATP-binding cassette (ABC), Nestin, and Hippo signalling pathway. DE-interaction network suggested that LNC_018420 maybe the key regulators related to embryo development in sheep oviduct.Conclusion:This was the first study to reveal the transcriptomic profiles of mRNAs and lncRNAs in the oviduct of FecB BB/++ sheep at estrus phase using RNA-Seq. Our findings can provide new understanding on the molecular mechanisms of mRNAs and lncRNAs underlying sheep embryo development and also opening new lines of investigation in sheep reproduction.

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Therapeutic Effect and Metabolic Mechanism of A Selenium-Polysaccharide from Ziyang Green Tea on Chronic Fatigue Syndrome

Polymers ◽

10.3390/polym10111269 ◽

2018 ◽

Vol 10 (11) ◽

pp. 1269 ◽

Cited By ~ 1

Author(s):

Changzhuan Shao ◽

Jing Song ◽

Shanguang Zhao ◽

Hongke Jiang ◽

Baoping Wang ◽

...

Keyword(s):

Therapeutic Effect ◽

Green Tea ◽

Metabolic Pathways ◽

Steroid Hormone ◽

Chronic Fatigue ◽

Gas Chromatography Mass Spectrometry ◽

Urine Metabolites ◽

Steroid Hormone Biosynthesis ◽

Hormone Biosynthesis ◽

Metabolic Mechanism

Ziyang green tea was considered a medicine food homology plant to improve chronic fatigue Ssyndrome (CFS) in China. The aim of this research was to study the therapeutic effect of selenium-polysaccharides (Se-TP) from Ziyang green tea on CFS and explore its metabolic mechanism. A CFS-rats model was established in the present research and Se-TP was administrated to evaluate the therapeutic effect on CFS. Some serum metabolites including blood urea nitrogen (BUN), blood lactate acid (BLA), corticosterone (CORT), and aldosterone (ALD) were checked. Urine metabolites were analyzed via gas chromatography-mass spectrometry (GC-MS). Multivariate statistical analysis was also used to check the data. The results selected biomarkers that were entered into the MetPA database to analyze their corresponding metabolic pathways. The results demonstrated that Se-TP markedly improved the level of BUN and CORT in CFS rats. A total of eight differential metabolites were detected in GC-MS analysis, which were benzoic acid, itaconic acid, glutaric acid, 4-acetamidobutyric acid, creatine, 2-hydroxy-3-isopropylbutanedioic acid, l-dopa, and 21-hydroxypregnenolone. These differential metabolites were entered into the MetPA database to search for the corresponding metabolic pathways and three related metabolic pathways were screened out. The first pathway was steroid hormone biosynthesis. The second was tyrosine metabolism, and the third was arginine-proline metabolism. The 21-hydroxypregnenolone level of rats in the CFS group markedly increased after the Se-TP administration. In conclusion, Se-TP treatments on CFS rats improved their condition. Its metabolic mechanism was closely related to that which regulates the steroid hormone biosynthesis.

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The mediation of pigeon egg production by regulating the steroid hormone biosynthesis of pigeon ovarian granulosa cells

Poultry Science ◽

10.1016/j.psj.2020.06.048 ◽

2020 ◽

Vol 99 (11) ◽

pp. 6075-6083

Author(s):

Ying Wang ◽

Hai-ming Yang ◽

Chen Zi ◽

Jing Gu ◽

Zhiyue Wang

Keyword(s):

Granulosa Cells ◽

Egg Production ◽

Steroid Hormone ◽

Steroid Hormone Biosynthesis ◽

Ovarian Granulosa Cells ◽

Hormone Biosynthesis

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Untargeted Metabolomics and Steroid Signatures in Urine of Male Pattern Baldness Patients after Finasteride Treatment for a Year

Metabolites ◽

10.3390/metabo10040131 ◽

2020 ◽

Vol 10 (4) ◽

pp. 131 ◽

Cited By ~ 1

Author(s):

Yu Ra Lee ◽

Eunju Im ◽

Haksoon Kim ◽

Bark Lynn Lew ◽

Woo-Young Sim ◽

...

Keyword(s):

Steroid Hormone ◽

Normal Subjects ◽

Healthy Controls ◽

Male Pattern Baldness ◽

Steroid Hormone Biosynthesis ◽

Physiological Alterations ◽

Urinary Androgens ◽

Hormone Biosynthesis ◽

One Year ◽

Male Pattern

Male pattern baldness (MPB) has been associated with dihydrotestosterone (DHT) expression. Finasteride treats MPB by inhibiting 5-alpha reductase and blocking DHT production. In this study, we aimed to identify metabolic differences in urinary metabolomics profiles between MPB patients after a one-year treatment with finasteride and healthy controls. Untargeted and targeted metabolomics profiling was performed using liquid chromatography-mass spectrometry (LC-MS). We hypothesized that there would be changes in overall metabolite concentrations, especially steroids, in the urine of hair loss patients treated with finasteride and normal subjects. Untargeted analysis indicated differences in steroid hormone biosynthesis. Therefore, we conducted targeted profiling for steroid hormone biosynthesis to identify potential biomarkers, especially androgens and estrogens. Our study confirmed the differences in the concentration of urinary androgens and estrogens between healthy controls and MPB patients. Moreover, the effect of finasteride was confirmed by the DHT/T ratio in urine samples of MPB patients. Our metabolomics approach provided insight into the physiological alterations in MPB patients who have been treated with finasteride for a year and provided evidence for the association of finasteride and estrogen levels. Through a targeted approach, our results suggest that urinary estrogens must be studied in relation to MPB and post-finasteride syndrome.

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