Search

ABSTRACTThis study was conducted to evaluate the effects of stocking density on productive performance, egg quality, and antioxidant capacity in laying ducks. A total of 720 20-week-old Jinding laying ducks were randomly assigned to 5 stocking densities (4, 5, 6, 7, and 8 birds/m2) with 8 replicate pens each treatment. The results showed that increasing stocking density linearly increased egg production and egg mass and linearly decreased FCR of laying ducks (P < 0.05). The eggshell strength and thickness decreased linearly (P < 0.05) and quadratically (P < 0.05) with an increase in stocking density. Increased stocking density linearly decreased concentrations of estradiol-17β and follicle-stimulating hormone, activities of superoxide dismutase, glutathione peroxidase, and total antioxidant capacity in plasma (P < 0.05), but linearly increased plasma and hepatic malondialdehyde content (P < 0.05). The results suggested that high stocking density adversely influenced laying performance and egg quality of ducks, which is associated with impaired antioxidant capacity. Under our experimental conditions, we recommend that the stocking density of laying ducks should be kept to 4 or fewer birds/m2to avoid the negative effects of high stocking density on performance and egg quality of laying ducks.

Chicken Mx1 gene, as a positive antiviral gene, has been reported to provide resistance to several viruses especially avian influenza virus. In present research, the genotype frequency contributions of chicken Mx1 polymorphisms were characterized in five lowly selected as well as one moderately selected Sichuan native chicken populations and two highly selected commercial chicken breeds. Together with two newly-identified mutation sites (r.8A > G and r.1257T > C), a total of 13 single nucleotide polymorphisms (SNPs), including seven nonsynonymous mutation and six synonymous mutation, were found in the coding region of chicken Mx1 gene. Local Chinese chicken populations exhibited higher nucleotide diversity than commercial populations. Moreover, amino acid substitution sites as well as positive selection sites were located only in the domain not determined and GTPase domain, implying that amino acids mutations were likely needed in the modulatory and structural regions to better adapt the environment. Collectively, our results suggest that different selection pressures greatly influenced the genotype frequency contributions of chicken Mx1 gene. Understanding the interaction between genetic diversity and artificial selection may help us to better select and breed superior domestic chickens.

Studies have shown that prebiotics can affect meat quality; however, the underlying mechanisms remain poorly understood. This study aimed to investigate whether prebiotics affect the flavor of chicken meat via the gut microbiome and metabolome. The gut content was collected from chickens fed with or without prebiotics (galacto-oligosaccharides or xylo-oligosaccharides) and subjected to microbiome and metabolome analyses, whereas transcriptome sequencing was performed using chicken breast. Prebiotic supplementation yielded a slight improvement that was not statistically significant in the growth and production performance of chickens. Moreover, treatment with prebiotics promoted fat synthesis and starch hydrolysis, thus increasing meat flavor by enhancing lipase and α-amylase activity in the blood of broiler chickens. The prebiotics altered the proportions of microbiota in the gut at different levels, especially microbiota in the phyla Bacteroidetes and Firmicutes, such as members of the Alistipes, Bacteroides, and Faecalibacteriumgenera.Furthermore, the prebiotics altered the content of cecal metabolites related to flavor substances, including 8 types of lysophosphatidylcholine (lysoPC) and 4 types of amino acid. Differentially expressed genes (DEGs) induced by prebiotics were significantly involved in fatty acid accumulation processes, such as lipolysis in adipocytes and the adipocytokine signaling pathway. Changes in gut microbiota were correlated with metabolites, for example, Bacteroidetesand Firmicuteswere positively and negatively correlated with lysoPC, respectively. Finally, DEGs interacted with cecal metabolites, especially meat-flavor-related amino acids and their derivatives. The findings of this study integrated and incorporated associations among the gut microbiota, metabolites, and transcriptome, which suggests that prebiotics affect the flavor of chicken meat.

Follicular atresia is an important cause of reproductive decline in egg-laying hens. Therefore, a better understanding of the regulation mechanism of follicle atresia in poultry is an important measure to maintain persistent high egg performance. However, how the role of the regulatory relationship between autophagy and apoptosis in the intrafollicular environment affects the follicular atresia of chickens is remain unclear. The objective of this study was to explore the regulatory molecular mechanisms in regard to follicular atresia. 20 white leghorn layers (32-wk-old) were equally divided into 2 groups. The control group was fed freely, and the experimental group induced follicular atretic by fasting for 5 d. The results showed that the expression of prolactin (PRL) levels was significantly higher in the fasted hens, while the levels of luteinizing hormone (LH) and follicle stimulating hormone (FSH) were lower. Most importantly, RNA sequencing, qPCR, and Western blotting detected significantly elevated levels of autophagy and apoptosis markers in atresia follicles. Interestingly, we found that fibromodulin (FMOD) levels was significantly lower in follicles from fasted hens and that this molecule had an important regulatory role in autophagy. FMOD silencing significantly promoted autophagy and apoptosis in granulosa cells, resulting in hormonal imbalance. FMOD was found to regulate autophagy via the transforming growth factor beta (TGF-β) signaling pathway. Our results suggest that the increase in autophagy and the imbalance in internal homeostasis cause granulosa cell apoptosis, leading to follicular atresia in the chicken ovary. This finding could provide further insight into broodiness in chicken and provide avenues for further improvements in poultry production.

As a ubiquitous heavy metal, cadmium (Cd) is highly toxic to various organs. However, the effects and molecular mechanism of Cd toxicity in the chicken heart remain largely unknown. The goal of our study was to investigate the cardiac injury in chickens' exposure to Cd. We detected the levels of oxidative stress–related molecules in the Cd-induced chicken heart, and assessed the histopathological changes by hematoxylin and eosin staining. RNA sequencing was performed to identify differentially expressed mRNAs between the Cd-induced group and control group. The expression of candidate genes involved in oxidative stress was certified by quantitative reverse transcription PCR. Our results showed that the expression of glutathione, peroxidase, and superoxide dismutase was significantly decreased and malondialdehyde was increased in the heart of chickens by Cd induction. The disorderly arranged cardiomyocytes, swelled and enlarged cells, partial cardiomyocyte necrosis, blurred morphological structure, and notable inflammatory cell infiltration were observed in the Cd-induced chicken heart. RNA sequencing identified 23 upregulated and 11 downregulated mRNAs in the heart tissues of the chicken in the Cd-induced group, and functional pathways indicated that they were associated with oxidative stress. Moreover, CREM, DUSP8, and ITGA11 expressions were significantly reduced, whereas LAMA1 expression was induced in heart tissue of chickens by Cd treatment. Overall, our findings revealed that oxidative stress and pathological changes in the chicken heart could be triggered by Cd. The mRNA transcriptional profiles identified differentially expressed genes in the chicken heart by Cd induction, revealing oxidative stress–related key genes and enhancing our understanding of Cd toxicity in the chicken heart.

Hypoxia affects the physiology of cells and organisms; however, the mechanisms associated with hypoxia adaptation remain unknown in Tibetan chickens. In this study, we aimed to identify long noncoding RNAs (lncRNAs) involved in hypoxia adaptation in Tibetan chickens and Daheng broilers, to provide insights into the mechanisms underlying hypoxia induction. RNA sequencing results revealed that a total of 5504 lncRNAs and 16,779 microRNAs were differentially expressed in four Tibetan chickens and four Daheng broilers; 70 lncRNAs were up-regulated and 113 lncRNAs were down-regulated in the Tibetan chickens compared to the expression levels in the Daheng broilers. The differentially expressed lncRNAs (DElncRNAs) were enriched in the following Gene ontology terms: protein complex localization, small-molecule metabolic process, and RNA splicing. Kyoto Encyclopedia of Genes and Genomes analyses revealed that the DElncRNAs were mainly enriched in pathways that regulate cell junctions and intercellular spaces and oxygen or energy metabolism, mainly involved in hypoxic adaption. Moreover, a predicted ceRNA network with five DElncRNAs interacted with three miRNAs that acted on 42 pathways through 19 target genes. Quantitative real-time polymerase chain reaction was used to verify that the expression levels of ENSGALG00000008047, ENSGALG00000050044, and ENSGALG00000053982 were significantly lower in Tibetan chickens than in the Daheng broilers, consistent with the RNA sequencing results. We obtained lncRNA expression profiles for the heart tissue of Tibetan chickens for the first time and have provided novel data that may aid research on biological adaptation to hypoxic stress.

Functional studies have revealed miRNAs play pivotal roles in ovulation and ovary development in mammalians, whereas little is known about the miRNA function in ducks. In this study, miRNA deep sequencing in the ovary tissues was carried out to obtain the miRNA profile from ovaries before oviposition (BO) and after oviposition (AO) in Jinding duck. Overall, an average of 23,128,075 and 26,020,523 reads were identified in the BO and AO samples, respectively, and 6739 miRNAs were identified from them through further mapping and analysis. Besides, 1570 miRNAs were identified as differentially expressed miRNAs compared with BO, including 493 miRNAs up-regulated and 1077 down-regulated in AO. Moreover, 2291 target genes were predicted from 443 significantly differentially expressed miRNAs. In addition, GO and KEGG pathway analysis indicated that target genes were enriched in some basic cell metabolism pathways as well as the productive pathways such as MAPK signaling pathway, gonadotropin-releasing hormone signaling pathway, TGF-beta signaling pathway which had been significantly changed. Our results helped to replenish the duck miRNA database and illustrate the potential mechanism of miRNA function in duck ovary development and reproduction process.