A genome-wide transcriptomic analysis of articular cartilage during normal maturation in pigs

Grade follicles transcriptional profiling analysis in different laying stages in chicken

During follicular development, a series of key events such as follicular recruitment and selection are crucially governed by strict complex regulation. However, its molecular mechanisms remain obscure. To identify the dominant genes controlling chicken follicular development, the small white follicle (SWF), the small yellow follicle (SYF), and the large yellow follicle (LYF) in different laying stages (W22, W31, W51) were collected for RNA sequencing and bioinformatics analysis. There were 1866, 1211, and 1515 differentially expressed genes (DEGs) between SWF and SYF in W22, W31, and W51, respectively. 4021, 2295, and 2902 DEGs were respectively identified between SYF and LYF in W22, W31, and W51. 5618, 4016, and 4809 DEGs were respectively identified between SWF and LYF in W22, W31, and W51. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that extracellular matrix, extracellular region, extracellular region part, ECM-receptor interaction, collagen extracellular matrix, and collagen trimer were significantly enriched (P < 0.05). Protein–protein interaction analysis revealed that COL4A2, COL1A2, COL4A1, COL5A2, COL12A1, ELN, ALB, and MMP10 might be key candidate genes for follicular development in chicken. The current study identified dominant genes and pathways contributing to our understanding of chicken follicular development. 

Induced hypothyroidism alters articular cartilage in skeletally immature miniature swine

PURPOSE/AIM

Thyroid hormone has been implicated in the normal growth and development of articular cartilage; however, its effect on a disease state, such as hypothyroidism, is unknown. The purpose of this investigation was to compare normal articular cartilage from proximal femurs of immature miniature swine to proximal femurs from hypothyroid-induced immature miniature swine.

MATERIALS AND METHODS

Two 11-week-old male Sinclair miniature swine were made hypothyroid by administration of 6-propyl-2-thiouracil (PTU) in their drinking water; two control animals did not receive PTU. At 25 weeks of age, the animals were euthanized and their proximal femurs were fixed and decalcified. Samples were sectioned and analyzed by histology to define extracellular matrix (ECM) structure, immunohistochemistry (IHC) to identify types II and X collagen, and histomorphometry to assess articular cartilage mean total and localized height and cell density. Statistics included nested mixed-effects ANOVA with p ≤ 0.05 considered statistically significant.

RESULTS

Compared to controls, hypothyroid articular cartilage demonstrated statistically significant quantitative differences in mean tissue height, mean cell density and type II collagen localized zone height. Qualitative differences in ECM proteoglycans and overall collagen types were also found. Type X collagen was not detected in either hypothyroid or control articular cartilage specimens.

CONCLUSIONS

Significant changes in articular cartilage structure in hypothyroid compared to control immature miniature swine suggest that thyroid hormone is critical in the growth and development of articular cartilage.

CLINICAL SIGNIFICANCE

Understanding articular cartilage development in immature animal models may provide insight into healing or repair of degenerative human articular cartilage.

Transcriptome profiling analysis of underlying regulation of growing follicle development in the chicken

Large ovarian follicles are primary characteristics of oviparous species. The development of such follicles is crucially governed by strict intrinsic complex regulation. Many aspects of the genetic basis of this regulation remain obscure. To identify the dominant genes controlling follicular development in the chicken, growing follicles (400–1,600 μm in diameter) were selected for RNA sequencing and bioinformatics analysis. Comparing the 400-μm follicles with 800-μm follicles identified a total of 3,627 differentially expressed genes (1,792 upregulated and 1,835 downregulated genes). Comparing the 400-μm follicles with 1,600-μm follicles revealed 9,650 differentially expressed genes (including 4,848 upregulated and 4,802 downregulated genes). Comparing 800-μm with 1,600-μm follicles revealed a total of 6,779 differentially expressed genes (3,427 upregulated and 3,352 downregulated genes). Transcriptome analysis revealed that genes related to the extracellular matrix–receptor interactions, steroid biosynthesis, cell adhesion, and phagosomes displayed remarkable differential expressions. Relative to 400-μm follicles, collagen content, production of steroid hormones, cell adhesion, and phagocytic factors were significantly increased in the 1,600-μm follicles. This study identifies the dominant genes involved in the promotion of follicular development in oviparous vertebrates and represents the extraordinary gene regulation pattern related to development of the growing follicles in poultry.

Quantitative trait loci for morphometric and mineral composition traits of the tibia bone in a broiler × layer cross

Many economic losses occur in the poultry industry due to leg fragility. Knowing the genomic regions that influence traits associated with the growth and composition of the leg's bone can help to improve the selection process leading to increased leg resistance to fracture. The present study aimed to map quantitative trait loci (QTL) for mineral composition and morphometric traits of the tibia in 478 animals from an F2 broiler × layer cross. The measurement of weight, length and width of Tibia was carried out at 42 days of age. Ash, dry matter, levels of calcium (Ca), phosphorus (P), magnesium (Mg), Zinc (Zn) and Calcium:Phosphorus (Ca:P) ratio were also recorded. The population was genotyped for 128 microsatellite markers and one single nucleotide polymorphism, covering 2630 cM of the chicken genome. A likelihood ratio test was performed to find QTLs. Additive and dominance effects of the QTLs were included in the model. In the chromosomes 2 (GGA2), 6 (GGA6), 8 (GGA8), 24 (GGA24) and 26 (GGA26) some suggestive QTLs (P&lt;0.00276) were mapped for tibia weight (GGA2 and GGA26), ash percentage (GGA2 and GGA6), dry matter percentage (GGA2), Ca (GGA8 and GGA24) and Ca:P ratio (GGA8), many of which are close to genes already identified as good candidates for those traits. The suggestive QTL on GGA2 has a pleiotropic effect on ash percentage, dry matter and bone weight, whereas in the GGA8 there seems to be two QTLs, one for Ca and another for Ca:P ratio. Thus, this study identified at least five genomic regions, in different chromosomes, that can be targeted for further research to identify potential mutations influencing the development and composition of leg bones in Gallus gallus.