Poultry Science最新文献

C1q/tumor necrosis factor-related protein 6 (C1QTNF6) is a newly discovered adiponectin analog that plays a significant role in female reproduction. However, its expression and function in chickens remain unclear. In this study, the full-length coding sequence (CDS) of chicken C1QTNF6 was cloned from adult chicken ovary. We demonstrated that the putative C1QTNF6 protein shares a highly conserved amino acid sequence with known bird homologs. Using quantitative real-time PCR (qRT-PCR) and fluorescence in situ hybridization (FISH), we observed that C1QTNF6 is widely expressed in adult chicken follicle tissues, predominantly in granulosa cells (GCs). In vitro, stimulation with follicle-stimulating hormone (FSH) and luteinizing hormone (LH) significantly increased the expression of C1QTNF6 in chicken preovulatory granulosa cells (PoGCs) and prehierarchical granulosa cells (PhGCs), respectively. Overexpression and knockdown experiments in granulosa cells revealed that C1QTNF6 affects the proliferation and apoptosis of granulosa cells, reducing the expression of steroid hormone synthesis-related genes (STAR, Cyp11a1, Cyp19a1, and 3B-HSD) and hormones (progesterone and estrogen). In granulosa cells (GCs), co-treatment with C1QTNF6 and AdipoRon (an activator of adiponectin receptors) showed that AdipoRon promotes progesterone secretion, while C1QTNF6 inhibits AdipoR1 (adiponectin receptor 1) expression. There was no synergistic effect between C1QTNF6 and AdipoRon in steroid hormone production. Collectively, these findings suggest that C1QTNF6 may be a candidate gene for regulating follicular development and reproductive performance in chickens.

Approximately 10,000 metric tons of broiler livers are yielded every year in Taiwan. However, due to unpleasant odor and health concern, these livers are typically discarded as waste in the slaughtering stream in most developed or developed countries. In alignment with global agrocycle policies, a biofunctional chicken-liver hydrolysate (CLH) has been developed. This study was to investigate the effects of CLHs on glucose homeostasis and complications in type II diabetes. Insulin resistance was induced in liver (FL83B) and muscle (C2C12) cells using 30 and 20 ng TNF-α/mL, respectively, resulting in decreased glucose uptake and lower expressions of IRβ, p-Akt/Akt, and p-GSK3/GSK. CLH supplementation significantly upregulated (p<0.05) glucose uptakes and these proteins. In db/db mice, CLH supplementation improved insulin resistance, as shown by OGTT assay, HOMA-IR value and serum glucose levels, while also reducing serum lipids and liver damage indices (p<0.05). Additionally, CLH ameliorated (p<0.05) decreased hindlimb-gastrocnemius weight, and liver lipid contents, oxidative stress (sera and liver) and inflammatory cytokines. Increased glycogen accumulation was visualized in PAS-stained liver and hindlimb tissues of db/db mice supplemented with CLHs, consistent with upregulated glycogenesis in TNF-α-induced liver and muscle cells through the IRβ-Akt-GSK3 pathway. These findings suggest CLH may offer a mitigation against hyperglycemia and associated complications in type II diabetes, while also highlighting a sustainable solution for utilizing poultry slaughter residues.

Avian influenza viruses (AIVs) pose a significant threat to global poultry production, necessitating effective control strategies to mitigate economic losses and ensure animal welfare. Long non-coding RNAs (lncRNAs) have emerged as crucial regulators of immune responses, yet their roles in AIV-infected chickens remain poorly understood. This study aimed to investigate the expression profiles of lncRNAs and their targets in Vietnamese Ri chickens infected with the highly pathogenic AIV (HPAIV) H5N1. Through RNA sequencing, we identified novel lncRNAs and analyzed differentially expressed (DE) transcripts at 1 and 3 days post-infection (dpi) in chicken lung tissue. Our results revealed a higher number of DE lncRNAs and mRNAs at 1 dpi and 3 dpi, respectively, compared to control, with resistant chickens exhibiting a notably stronger immune response than susceptible chickens at 3 dpi. Functional analysis implicated these lncRNAs in immune-related pathways crucial for host responses to H5N1 viral infection. Furthermore, we identified lncRNA-mRNA interactions associated with antiviral responses and immune function. Notably, several genes involved in antiviral resistance and immune responses showed higher expression in resistant chickens, confirming their stronger antiviral response. Overall, our study provides insights into the role of lncRNAs in the host's response to HPAIV H5N1 infection in chickens and highlights potential candidates for further investigation into host-pathogen interactions. These findings could drive the development of novel control strategies for AIVs, significantly enhancing poultry health and biosecurity.

Reduced-protein diet can save protein ingredients and reduce nitrogen (N) losses. However, the effect of low protein diet on the mineral uptake and utilization in broilers needs to be explored. The aim of this study was to investigate the effect of low-protein diet on the growth performance, N deposition, mineral contents in serum, tissues and excreta, and the activities and gene expression of related enzymes in tissues of medium-growing yellow-feathered broilers, so as to elucidate the relationship between dietary protein level and the absorption and utilization of minerals in broilers. A total of 72 1-d-old Spotted-Brown male broilers were randomly allotted to 1 of 2 treatments with 6 replicate cages of 6 birds per cage for each treatment. The dietary crude protein (CP) levels for the two treatments were 21 % (the control treatment) and 19 % (low protein treatment), respectively. The experimental period was 30 d. The results showed that no differences (P > 0.05) were detected in average daily gain, average daily feed intake and feed: gain ratio of broilers during 1 to 30 d between the two treatments. However, low protein intake increased (P < 0.05) N retention rate, serum P, Cu and Mn, and excreta Cu, Mn and Zn, and decreased (P < 0.05) liver P and excreta P. In addition, birds fed low protein diet had higher (P < 0.05) manganese superoxide dismutase, and total superoxide dismutase activities in liver, and total antioxidant capacity and malondialdehyde content in heart, and lower (P < 0.05) copper-zinc superoxide dismutase (CuZnSOD) and succinate dehydrogenase activities in liver and CuZnSOD mRNA level in heart. In conclusion, the reduction of dietary CP content from 21 % to 19 % improved N retention, the absorption of P, Cu and Mn, as well as the antioxidant ability of liver and heart, and influenced metabolic utilization of P, Cu, Zn, Fe and Mn in medium-growing yellow-feathered broilers from 1 to 30 d of age.

The purpose of this study was to comprehensively analyze the genetic diversity of the Pekin duck conserved population with five generations and to evaluate the effectiveness of the current conservation strategy. In total, 277 Pekin duck conserved individuals and 40 Mallards as ancestral controls were collected. Each duck was sequenced at about 10X whole-genome coverage, while over 7.4 million single nucleotide polymorphisms (SNPs) in total were detected for genetic diversity analysis. Both the expected heterozygosity and observed heterozygosity values exceeded 0.3. The genetic differentiation (F_ST) values ranged from 0.007 to 0.039, and the Polymorphism information content (PIC) values ranged from 0.29 to 0.34. These results indicate no significant differentiation between generations, and the genetic diversity remains high. In particular, the inbreeding coefficient has been strictly controlled and has not increased rapidly during the conservation. Overall, the inbreeding coefficient of the conserved Pekin duck population was higher than that of its wild ancestors, indicating that domestication has resulted in reduced genetic diversity. This is the first report using whole genome resequencing data to systematically evaluate the genomic dynamics across several generations in ducks. The results show that the strategy of free mating and random seed retention within sire families is effective for maintaining the genetic diversity of the conserved Pekin duck population.

Artificial intelligence (AI) in animal behavior and welfare research is on the rise. AI can detect behaviors and localize animals in video recordings, thus it is a valuable tool for studying social dynamics. However, maintaining the identity of individuals over time, especially in homogeneous poultry flocks, remains challenging for algorithms. We propose using differentially colored "backpack" tags (black, gray, white, orange, red, purple, and green) detectable with computer vision (eg. YOLO) from top-view video recordings of pens. These tags can also accommodate sensors, such as accelerometers. In separate experiments, we aim to: (i) evaluate avian visual perception of the different colored tags; (ii) assess the potential impact of tag colors on social behavior; and (iii) test the ability of the YOLO model to accurately distinguish between different colored tags on Japanese quail in social group settings. First, the reflectance spectra of tags and feathers were measured. An avian visual model was applied to calculate the quantum catches for each spectrum. Green and purple tags showed significant chromatic contrast to the feather. Mostly tags presented greater luminance receptor stimulation than feathers. Birds wearing white, gray, purple, and green tags pecked significantly more at their own tags than those with black (control) tags. Additionally, fewer aggressive interactions were observed in groups with orange tags compared to groups with other colors, except for red. Next, heterogeneous groups of 5 birds with different color tags were videorecorded for 1 h. The precision and accuracy of YOLO to detect each color tag were assessed, yielding values of 95.9% and 97.3%, respectively, with most errors stemming from misclassifications between black and gray tags. Lastly using the YOLO output, we estimated each bird's average social distance, locomotion speed, and the percentage of time spent moving. No behavioral differences associated with tag color were detected. In conclusion, carefully selected colored backpack tags can be identified using AI models and can also hold other sensors, making them powerful tools for behavioral and welfare studies.