Transcriptomic diversification of granulosa cells during follicular development between White Leghorn and Silky Fowl hens

Frontiers and emerging topics in a century of Silkie chicken research: insights, challenges, and opportunities

Silkie chickens are a unique breed renowned for their pigmentation, food and medicine homology properties, and distinctive appearance, making them highly valuable in exhibitions, as pets, in medicinal cuisine, and as a model for melanin research. Despite their vast potential, the growing volume of publications and patents related to Silkie chicken highlights the critical need for systematic organization, summarization, and analysis of this wealth of information. For the first time, this study employs bibliometric tools to summarize and analyze 114 years of research on Silkie chicken. Our study demonstrates that academic studies primarily focus on their nutritional value, melanin production, and genetic mechanisms, while patents emphasize food formulations, breeding methods, and purebred identification. Although there has been significant growth in publications and citations since 2001, international collaboration remains limited. This study presents the need for integrated and multidisciplinary research to unlock the full potential of Silkie chicken and provides a foundational framework for future studies and applications.

Genetic parameter estimation and molecular foundation of Double-yolk eggs trait in white leghorn

Double-yolk (DY) eggs refer to the presence of two yolks in an egg, and they are often present in fowl flocks. As abnormal eggs, DY eggs occur frequently in the early stages of egg-laying in hens, as well as in hens with early sexual maturity. In order to understand the inheritant pattern of DY eggs and explore candidate genes associated with DY eggs, we selected over 10,000 white Leghorn (WL) chickens from 4 generations and recorded the data during the egg laying period, including total egg number and the rate of DY egg number during the first 2 months and the period of 18-58 weeks of age (EN2month, EN38, EN58, DY2month, DY38, and DY58), age at first egg (AFE), first egg weight (FEW), and body weight at first egg (BWA). The results of genetic parameter analysis showed that the DY egg rate was a trait with low to medium heritabilities with the values from 0.15 to 0.29. And there were strong positive phenotypic and genetic correlations between DY egg rate and egg production at different age stages, and they were all strongly negatively correlated with AFE. However, the DY egg rate and egg production at different stages had strong positive and negative genetic correlations with BWA and FEW, respectively. We also found that significant differences in these trait values between different generations and cage layers, indicating that generations and cage layers had a certain influence on these traits. Furtherly, we used whole genome-wide association (GWA) analysis to identify genes underlying DY, and 5 candidate genes (EZH2, CNTNAP2, TMEM163, GPC1, and ACMSD) associated with DY2month in WL. Our study improved the understanding of DY eggs in hens, and the genetic parameters of DY eggs, and also provided insights into reducing the production of DY eggs by various selection strategies.

Evaluating ovarian follicles and their steroid hormone gene expression patterns in a high egg-producing research turkey line

Low egg-producing turkeys reduce the profitability of a flock by limiting the number of poults that can be hatched. Understanding the biological mechanics behind egg-production rates will greatly benefit the industry. Two lines with vastly different egg production rates are the Ohio State University E line, and its unselected counterpart, the random-bred control one (RBC1). Differences between E Line and RBC1 hens (n = 4 per line) were investigated by measuring egg production traits, ovarian and follicle anatomical characteristics, and gene expression for reproductively important genes within different follicle types. Data were analyzed by an ANOVA mixed model procedure in SAS. The E line hens produced 20% more eggs than the RBC1 hens, even though they had similar numbers of preovulatory follicles in their ovaries. This was accomplished by increasing clutch length and keeping the pause length the same. On the gene expression side small white follicles (SWF) within E line hens had less LHCGR expression which coincided with downregulation of CYP11A1 and CYP17A1. Along with an upregulation of PRLR in small yellow follicles (SYF) which also coincided with downregulation of CYP17A1. In both cases changes in pituitary hormone receptor transcription levels appeared to affect the steroid hormone synthesis pathway. In SWF from E line hens ESR2 was downregulated, however in the large white follicles and selected follicles ESR1 was the estradiol receptor which was downregulated. The similarity in preovulatory numbers suggests that E line hens aren't selecting more follicles to grow, but instead, follicles are growing faster. Based on the gene expression patterns, the reduction of steroid hormone synthesis might hint at the follicles putting more energy into growth and differentiation. At the same time, the decrease in estradiol receptor might limit the negative effects of estradiol on granulosa cells and allow for more rapid growth, suggesting a possible mechanism for the higher egg production trait of the E line.

Endothelin-3 Suppresses Luteinizing Hormone Receptor Expression by Regulating the cAMP-PKA Pathway in Hen Granulosa Cells

Previous research identified the expression of EDN3 in granulosa cells of preovulatory follicles in chickens. Notably, the expression level of EDN3 in Silky Fowl with low egg-laying performance was significantly higher than that in high-yield laying breed White Leghorn. Given the crucial role of granulosa cells in follicular development and maturation, it is very important to study the effect of EDN3 on the biological function of granular cells. In this study, an EDN3 overexpression plasmid was constructed and transfected into granular cells. The viability of these cells was detected using quantiative (qPCR), Cell Counting Kit-8 (CCK8), and 5-Ethynyl-2'-deoxyuridine (EdU) assays. Gonadal hormone synthesis was detected using enzyme-linked immunosorbent assay (ELISA) techniques. Finally, transcriptome sequencing was employed to identify differentially expressed genes. Result showed thatoverexpression of EDN3 was observed to promote cell viability. In addition, it significantly inhibits the expressions of LHR and cAMP-PKA signaling pathways. Cell transcriptome sequencing data displayed that EDN3 can upregulate energy metabolism and immune-related signaling pathways, whereas follicle maturation and the GnRH signaling pathway were downregulated. In conclusion, this study demonstrates that EDN3 can enhance granulosa cell viability and inhibit the expression of LHCGR, a process likely mediated through the cAMP-PKA signaling pathway. However, further evidence is required to substantiate the regulatory relationship between EDN3 and the cAMP-PKA signaling pathway.

In vitro culture and tissue-derived specific expression of melanocytes from ovary of adult Silky Fowl

The presence of a significant number of melanocytes in the ovary and follicular membrane of Silky Fowl suggests their potential involvement in follicle development. Currently, there is a lack of available data regarding to the isolation of primary melanocytes from adult chickens. To date, primary melanocytes and their in vitro culture system have been successfully conducted in the peritoneum of chicken embryos. Herein, melanocytes from silky fowl ovaries were isolated and identified. Silky Fowl ovaries were obtained by mixed digestion of 0.1% collagenase II and 0.25% trypsin-EDTA. Melanocytes could be further purified and cultured up to 5 generations in vitro. RNA-seq analysis was used to investigate whether there were differences in the functional status of melanocytes in different tissues and developmental stages. Consequently, differential gene expressions between peritoneal and ovarian melanocytes were compared. These findings demonstrated that the Silky Fowl ovary had higher expression levels of genes involved in the production of sexual hormones and melanogenesis, while those of melanocytes derived from the peritoneum were involved in amino acid metabolism, lipid synthesis, and overall metabolic rates. This suggests that the role of melanocytes is dependent on the origin tissue and developmental stage, and is tightly connected to the function of the specific source tissue from which the cells were derived. This study provides a method for isolating adult melanocytes and serve as a basis for further investigate the effect of SFOM on germ cells.

miRNA profiling of chicken follicles during follicular development

MicroRNAs (miRNAs) play a crucial role as transcription regulators in various aspects of follicular development, including steroidogenesis, ovulation, apoptosis, and gene regulation in poultry. However, there is a paucity of studies examining the specific impact of miRNAs on ovarian granulosa cells (GCs) across multiple grades in laying hens. Consequently, this study aims to investigate the roles of miRNAs in chicken GCs. By constructing miRNA expression profiles of GCs at 10 different time points, encompassing 4 pre-hierarchical, 5 preovulatory, and 1 postovulatory follicles stage, we identified highly expressed miRNAs involved in GC differentiation (miR-148a-3p, miR-143-3p), apoptosis (let7 family, miR-363-3p, miR-30c-5p, etc.), and autophagy (miR-128-3p, miR-21-5p). Furthermore, we discovered 48 developmentally dynamic miRNAs (DDMs) that target 295 dynamic differentially expressed genes (DDGs) associated with follicular development and selection (such as oocyte meiosis, progesterone-mediated oocyte maturation, Wnt signaling pathway, TGF-β signaling pathway) as well as follicular regression (including autophagy and cellular senescence). These findings contribute to a more comprehensive understanding of the intricate mechanisms underlying follicle recruitment, selection, and degeneration, aiming to enhance poultry's reproductive capacity.

MFN2 regulates progesterone biosynthesis and proliferation of granulosa cells during follicle selection in hens

Follicle selection in hens refers to a biological process that only one small yellow follicle (SYF) is selected daily or near-daily for following hierarchical development (from F5/F6 to F1) until ovulation. MFN2 is a kind of GTPases located on the mitochondrial outer membrane, which plays a crucial role in mitochondrial fusion. This study aimed to elucidate the role of MFN2 in proliferation and progesterone biosynthesis of granulosa cells (GCs) during follicle selection in hens. The results showed that GCs began to produce progesterone (P4) after follicle selection, accompanied with changes from multi-layer with flat cells to single layer with cubic cells. MFN2 was detected in GCs of follicles from SYF to F1. After follicle selection, the expression level of MFN2 in GCs upregulated significantly, accompanied with increases in P4 biosynthesis, ATP production, mitochondrial DNA (mtDNA) copy numbers of granulosa cells. FSH (80 ng/mL) facilitated the effects of P4 biosynthesis and secretion, ATP production, mtDNA copy numbers, cell proliferation and the MFN2 transcription of granulosa cells from F5 (F5G) in vitro. However, FSH treatment did not promote P4 secretion in granulosa cells from SYF (SYFG) in vitro. Meanwhile, we observed that change fold of MFN2 transcription, ATP production, mtDNA copy numbers and cell proliferation rate in F5G after treatment with FSH were greater than those in SYFG. Furthermore, expression levels of MFN2 protein and messenger RNA in F5G were significantly higher than those in SYFG after treatment with FSH. P4 biosynthesis, ATP production, mtDNA copy numbers as well as cell proliferation reduced significantly in F5G with MFN2 knockdown. Oppositely, P4 biosynthesis, ATP production, mtDNA copy numbers and cell proliferation increased significantly in SYFG after the overexpression of MFN2. Our results suggest that the upregulation of MFN2 may be involved in the initiation of P4 biosynthesis, and promotion of GCs proliferation during follicle selection.

Transcriptome Analysis of Granulosa Cells Reveals Regulatory Mechanisms Related to Chicken Follicle Development

In this study, we aimed to better understand the difference between the functions of the two types of granulosa cells and sought to discover more key genes involved in follicle development and follicle selection. Herein, we separately collected pre-hierarchical follicle granulosa cells (PHGCs) and preovulatory follicle granulosa cells (POGCs) for RNA extraction; the transcriptomes of the two groups were compared via RNA-seq. A total of 5273 differentially expressed genes (DEGs) were identified between the PHGCs and POGCs; 2797 genes were up-regulated and 2476 were down-regulated in the PHGCs compared with the POGCs. A qPCR analysis confirmed that the expression patterns of 16 randomly selected DEGs were highly consistent with the RNA-seq results. In the POGCs, many of the genes with the most significant increase in expression were related to steroid hormone synthesis. In addition, the genes with the most significant decline in expression, including AMH and WT1, were related to the inhibition of steroid hormone synthesis. These results suggest that steroid hormones play a key role in follicle development. Furthermore, a Gene Ontology (GO) analysis revealed that these DEGs were mainly involved in the primary metabolic process, the carbohydrate metabolic process, the cellular process, ribosomes, the cytoplasm, and intracellular processes. A Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that the DEGs were mainly enriched in steroid biosynthesis, the cell cycle, ribosomes, the TGF-beta signaling pathway, focal adhesion, and so on. We also observed the morphology of the follicles at different developmental stages, and the results showed that the thickness of the granular layer of the small yellow follicles (SYFs) decreased significantly with further development. In addition, we also found that the thickness of the granulosa layer of hens over 300 days old was significantly lower than that of 200-day-old hens. In short, these data indicate that the tissue morphology and function of granulosa cells change throughout follicle development.

microRNA transcriptome analysis of granulosa cells predicts that the Notch and insulin pathways affect follicular development in chickens

MicroRNAs (miRNAs) have been documented to play critical roles in chicken reproduction. Granulosa cell (GC) development of the follicle is closely related to hierarchical follicle ordering, making it an important factor in determining laying performance. Thus, it is meaningful to mine follicular development-related miRNAs. To identify regulatory miRNAs and the biological mechanisms by which they control follicular development, we conducted small RNA sequencing of GCs isolated from prehierarchical follicles named small yellow follicle (SYFG), the smallest hierarchical follicle (F6G), and the largest hierarchical follicle (F1G). A total of 99, 196, and 110 differentially expressed miRNAs (DEMs) were identified in SYFG.vs.F6G, SYFG.vs.F1G, and F6G.vs.F1G, respectively. Of these, 22 miRNAs, including miR-223, miR-103a, miR-449c-3p, and miR-203a, were ubiquitously identified as DEMs in three stages. Target gene prediction suggested that these miRNAs are associated with the MAPK, TGF-β, and Wnt signaling pathways, which are all associated with follicular development. The Notch and insulin signaling pathways were commonly enriched in all three comparisons. RT-qPCR analysis further indicated that the expression levels of PSEN2, which encodes an essential factor regulating Notch and insulin signaling, was significantly changed in SYFG, F6G, and F1G. The current study provides basic data and offers a new foundation for further exploration of the roles of miRNAs in follicular development in chickens.

Global gene expression analysis of the turkey hen hypothalamo-pituitary-gonadal axis during the preovulatory hormonal surge

The preovulatory hormonal surge (PS) consists of elevated circulating luteinizing hormone (LH) and progesterone levels and serves as the primary trigger for ovarian follicle ovulation. Increased LH and progesterone, produced by the pituitary and the granulosa layer of the largest ovarian follicle (F1), respectively, result from hypothalamic stimulation and steroid hormone feedback on the hypothalamo-pituitary-gonadal (HPG) axis. The hypothalamus, pituitary, F1 granulosa, and granulosa layer of the fifth largest follicle (F5) were isolated from converter turkey hens outside and during the PS and subjected to RNA sequencing (n = 6 per tissue). Differentially expressed genes were subjected to functional annotation using DAVID and IPA. A total of 12, 250, 1235, and 1938 DEGs were identified in the hypothalamus, pituitary, F1 granulosa, and F5 granulosa respectively (q<0.05, |fold change|>1.5, FPKM>1). Gene Ontology (GO) analysis revealed key roles for metabolic processes, steroid hormone feedback, and hypoxia induced gene expression changes. Upstream analysis identified a total of 4, 42, 126, and 393 potential regulators of downstream gene expression in the hypothalamus, pituitary, F1G, and F5G respectively, with a total of 63 potential regulators exhibiting differential expression between samples collected outside and during the PS (|z-score|>2). The results from this study serve to increase the current knowledge base surrounding the regulation of the PS in turkey hens. Through GO analysis, downstream processes and functions associated with the PS were linked to identified DEGs, and through upstream analysis, potential regulators of DEGs were identified for further analysis. Linking upstream regulators to the downstream PS and ovulation events could allow for genetic selection or manipulation of ovulation frequencies in turkey hens.