Transcriptomic analysis of the red and green light responses in Columba livia domestica

Interacting Networks of the Hypothalamic-Pituitary-Ovarian Axis Regulate Layer Hens Performance

Egg production is a vital biological and economic trait for poultry breeding. The 'hypothalamic-pituitary-ovarian (HPO) axis' determines the egg production, which affects the layer hens industry income. At the organism level, the HPO axis is influenced by the factors related to metabolic and nutritional status, environment, and genetics, whereas at the cellular and molecular levels, the HPO axis is influenced by the factors related to endocrine and metabolic regulation, cytokines, key genes, signaling pathways, post-transcriptional processing, and epigenetic modifications. MiRNAs and lncRNAs play a critical role in follicle selection and development, atresia, and ovulation in layer hens; in particular, miRNA is known to affect the development and atresia of follicles by regulating apoptosis and autophagy of granulosa cells. The current review elaborates on the regulation of the HPO axis and its role in the laying performance of hens at the organism, cellular, and molecular levels. In addition, this review provides an overview of the interactive network regulation mechanism of the HPO axis in layer hens, as well as comprehensive knowledge for successfully utilizing their genetic resources.

Transcriptome Analysis of Long Noncoding RNAs and mRNAs in Granulosa Cells of Jinghai Yellow Chickens Illuminated With Red Light

Jinghai Yellow chickens are a new indigenous breed with a dual purpose in China, but their egg laying performance is limited. Compared with white light (WL), exposure to red light (RL) can improve the egg laying performance of hens. Herein, to elucidate the molecular mechanism by which RL affects the egg laying performance, RNA sequencing was used to analyze long noncoding RNAs (lncRNAs) and mRNAs from granulosa cells of small yellow follicles from Jinghai Yellow chickens in RL and WL groups. A total of 12,466 lncRNAs were identified among the assembled transcripts, of which 168 lncRNAs were significantly different between the RL and WL groups (101 downregulated and 67 upregulated). Additionally, 1182 differentially expressed mRNAs were identified (958 downregulated and 224 upregulated). Integrated network analysis demonstrated that numerous differential mRNAs were involved in follicular development through steroid hormone synthesis, oocyte meiosis, and the PI3K-Akt signaling pathway. The impact of lncRNAs on cis and trans target mRNAs indicates that some lncRNAs play important roles in follicular development of small yellow follicles. The results provide a starting point for studies aimed at understanding the molecular mechanisms by which monochromatic light affects follicular development and egg production in hens.

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

The aim of this study was to determine the molecular mechanism of miR-205b targeting 11β-hydroxysteroid dehydrogenase type 1 (HSD11B1) on the apoptosis and proliferation of granulosa cells (GC) of pigeons. Our previous studies suggested that HSD11B1 was the target gene of miR-205b and played a key role in steroid hormone biosynthesis and GC development. The adenovirus-miR-205b recombinant virus and adenovirus-cli-miR-205b-sh recombinant virus were generated, verified, and their characteristics determined. The recombinant viruses were used to infect the GC of pigeons, with real time quantitative PCR used to examine the expressions of HSD11B1 and related genes. The HSD11B1 antibody was obtained and verified, and Western blotting was used to detect the protein level of HSD11B1. The Cell Counting Kit-8 assay kit was used to detect cell viability, and the Annexin V-FITC/PI kit was used for the apoptosis assays. The expression of HSD11B1 was significantly lower in the overexpression (OE) than in OE negative control (OE-NC) treatments and significantly higher in short hairpin (SH) than in SH negative control (SH-NC) treatments. The expression levels of cytochrome P4503A5 was significantly higher in SH and lower in OE treatments, and the rhythms of cytochrome P450 aromatase mRNA levels were similar. The mRNA level of cytochrome P450scc in OE was lower than in OE-NC treatments and higher in SH than in SH-NC treatments. The protein expressions of HSD11B1 were decreased in the GC of OE, whereas increased in the SH group. The Cell Counting Kit-8 assay revealed that overexpression of miR-205b significantly suppressed proliferation of the GC of pigeons, whereas interference of miR-205b significantly induced the proliferation of the GC. The overexpression and the interference of miR-205b did not have a significant effect on cell cycle. The overexpression of miR-205b significantly increased the number of apoptotic cells, whereas the interference of miR-205b decreased the number of apoptotic cells. These findings indicated that miR-205b mediated pigeon egg production by regulating the steroid hormone biosynthesis of the pigeon ovarian GC by targeting HSD11B1, which may be useful in increasing pigeon egg production.

Human follicular fluid shows diverse metabolic profiles at different follicle developmental stages

BACKGROUND

To investigate the metabolic profiles in the follicular fluid (FF) samples from patients undergoing in vitro fertilization (IVF) and to analyze the correlations with follicular development.

METHODS

The FF samples were obtained from participants (N = 26) who were receiving IVF under the gonadotropin-releasing hormone agonist (GnRH-a) long protocol stimulation and were collected separately from small (8-13 mm) and large (17-22 mm) follicles at the time of oocyte retrieval. Metabolomic analysis of the FF samples was performed using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

RESULTS

The results demonstrated that the size of the follicle influences the metabolic signature of the FF according to the profile and differential metabolites. Dehydroepiandrosterone (DHEA), which is enriched in steroid hormone biosynthesis, correlated negatively with the oocyte maturation rate and the high-quality embryo rate, and thus could be used to estimate the predictive diagnostic potential of follicular development.

CONCLUSION

The FF has different metabolic characteristics in different stages of follicular development. Exploring meaningful metabolites could predict follicular development, and modifications of these metabolites could influence follicular development.