Heat stress is one of the most prevalent issues in poultry production that reduces performance, robustness, and economic gains. Previous studies have demonstrated that native chickens are more tolerant of heat than commercial breeds. However, the underlying mechanisms of the heat tolerance observed in native chicken breeds remain unelucidated. Therefore, we performed a phenotypical, physiological, liver transcriptome comparative analysis and WGCNA in response to heat stress in one native (Beijing You, BY) and one commercial (Guang Ming, GM) chicken breed. The objective of this study was to evaluate the heat tolerance and identify the potential driver and hub genes related to heat stress in these two genetically distinct chicken breeds. In brief, 80 BY and 60 GM, 21 days old chickens were submitted to a heat stress experiment for 5 days (33 °C, 8 h/day). Each breed was divided into experimental groups of control (Ctl) and heat stress (HS). The results showed that BY chickens were less affected by heat stress and displayed reduced DEGs than GM chickens, 365 DEGs and 382 DEGs, respectively. The transcriptome analysis showed that BY chickens exhibited enriched pathways related to metabolism activity, meanwhile GM chickens’ pathways were related to inflammatory reactions. CPT1A and ANGPTL4 for BY chickens, and HSP90B1 and HSPA5 for GM chickens were identified as potential candidate genes associated with HS. The WGCNA revealed TLR7, AR, BAG3 genes as hub genes, which could play an important role in HS. The results generated in this study provide valuable resources for studying liver transcriptome in response to heat stress in native and commercial chicken lines.

Bacterial infections remain an important cause of morbidity in poultry production. The molecular characteristics and dynamic changes in immune cell populations after bacterial infection have yet to be fully understood. Beijing-You chicken and Cobb broiler, two broiler breeds with different disease resistance, were infected with Salmonella typhimurium, and inflammation models were constructed. Compared to Beijing-You, Cobb showed higher survival rates, lower liver load, and milder spleen damage after Salmonella infection. We characterized chicken spleen CD45+ immune cells by single-cell RNA sequencing and identified 9 distinct cell types among 54,487 cells. In Beijing-You, mono-macrophages expressed higher levels of pro-inflammatory factors, including IL1B, IL6, and M-CSF, after bacterial infection. In Cobb, Tregs exhibited intense inflammatory inhibition and highly expressed CTLA4, LAG3 and other immunosuppressive regulators. In addition, we found complex macrophage phenotypes during bacterial infection, with a tendency in macrophages from pro-inflammatory phenotypes (Mac-IL1B) to anti-inflammatory phenotypes (Mac-C1QC/Mac-MARCO). This study represents the first single-cell transcriptomic analysis of chicken spleen and compares the immune responses of Beijing-You and Cobb after bacterial infection. These findings provide insight into the mechanism of inflammation regulation in different broiler breeds.

Salmonella Typhimurium (ST) is a foodborne pathogen that adversely affects the health of both animals and humans. Since poultry is a common source and carrier of the disease, controlling ST infection in chickens will have a protective impact on human health. In the current study, Beijing-You (BY) and Cobb chicks (5-day-old specific-pathogen-free) were orally challenged by 2.4 × 10¹² CFU ST, spleen transcriptome was conducted 1 day post-infection (DPI) to identify gene markers and pathways related to the immune system. A total of 775 significant differentially expressed genes (DEGs) in comparisons between BY and Cobb were identified, including 498 upregulated and 277 downregulated genes (fold change ≥2.0, p < 0.05). Several immune response pathways against Salmonella were enriched, including natural killer-cell-mediated-cytotoxicity, cytokine–cytokine receptor interaction, antigen processing and presentation, phagosomes, and intestinal immune network for IgA production, for both BY and Cobb chickens. The BY chicks showed a robust response for clearance of bacterial load, immune response, and robust activation of phagosomes, resulting in ST resistance. These results confirmed that BY breed more resistance to ST challenge and will provide a better understanding of BY and Cobb chickens’ susceptibility and resistance to ST infection at the early stages of host immune response, which could expand the known intricacies of molecular mechanisms in chicken immunological responses against ST. Pathways induced by Salmonella infection may provide a novel approach to developing preventive and curative strategies for ST, and increase inherent resistance in animals through genetic selection.

Lipopolysaccharide (LPS) is a component of the cell wall of Gram-negative bacteria, and triggers an inflammatory response both in vitro and in vivo. Here, we used LPS from Escherichia coli serotype enteritidis to stimulate chicken macrophages (HD11) and conducted the transcriptome analysis using a bioinformatics approach to explore the functions of immune-related genes and miRNAs. In total, 1759 differentially expressed genes (DEGs) and 18 differentially expressed (DE)-miRNAs were detected during LPS infection. At 6 h post infection, 1025 DEGs and 10 miRNAs were up-regulated, and 734 DEGs and 8 DE-miRNAs were down-regulated. Based on both RNA hybrid and miRanda systems, 55 DEGs could be targeted by 14 DE-miRNAs. The target genes were related to the immune response, such as IRF8, STAT3, TRAF7, and other potential candidate genes. The DE-miRNAs miR146a-3p, miR6583-5p, and miR30c-2-3p were investigated further. They were predicted to target 34 genes that may also be candidates for immune-related miRNAs and genes. Our results enhanced our understanding of the pathogenic mechanisms of Gram-negative bacteria in chickens.

Salmonella infection poses a serious threat to the poultry industry, causing significant economic losses. Under global warming conditions, the underlying molecular mechanisms by which heat stress affects bacterial infections in poultry remain unclear. This study conducted a Salmonella Typhimurium infection under heat stress in Guang Ming broilers. A total of 100 chickens were randomly divided into three groups: control group (CTL), Salmonella Typhimurium (ST) infection group, and heat stress and Salmonella Typhimurium (HS + ST) co-stimulation group. By integrating inflammatory phenotypes, liver transcriptome profiles, and weighted gene co-expression network analysis (WGCNA), we systematically investigated the key regulatory factors through which heat stress affects host susceptibility to Salmonella. The results demonstrated that heat stress reduced body weight gain, exacerbated Salmonella Typhimurium-induced inflammatory responses, and increased mortality. Transcriptome results revealed that heat stress led to excessive inflammatory responses and antioxidant defense imbalances. Combined differential expression analysis and WGCNA identified three hub regulatory genes: PTGDS and WISP2 showed significant correlations with the heterophil/lymphocyte ratio, while SLC6A9 was significantly correlated with serum IL-8 levels. Validation in HD11 cell infection models confirmed the differential expression of these genes under heat stress and Salmonella Typhimurium co-stimulation, indicating their critical roles in host immune regulation. This study elucidates the intrinsic regulatory relationships through which heat stress promotes Salmonella pathogenicity and inflammatory responses, providing important insights for disease-resistant poultry breeding and prevention strategies.

Goose foie gras production requires force-feeding with high-energy feed, disrupting hepatic lipid homeostasis and causing excessive lipid accumulation. To investigate the formation mechanism, we collected liver samples from Landes geese at pre-force-feeding (D0), mid-force-feeding (D16), and terminal-force-feeding (D25) stages. Overfeeding shifted liver color from reddish-brown to yellow, significantly increasing size and weight. Histological analysis revealed pronounced lipid droplet accumulation in hepatocytes. Biochemical analysis indicated force-feeding groups (D16, D25) exhibited continuous and significant decreases in liver moisture, crude ash, and crude protein content compared to D0, while crude fat increased substantially. Integrated transcriptomic and lipidomic analyses identified 497 differentially expressed genes (DEGs) and 368 differential lipid molecules (DLMs) between D16 and D0, and 303 DEGs and 172 DLMs between D25 and D16. KEGG enrichment highlighted four pathways associated with fatty liver formation: glycerolipid metabolism, adipocytokine signaling pathway, ErbB signaling pathway, and MAPK signaling pathway. Within these, key genes (DGAT2, LIPG, LPL, LPIN1, NFKBIA, SLC2A1, AREG, DUSP1, DUSP10, PPARGC1A, NR4A1, PAK5) potentially regulate critical lipid metabolites (1-acyl-sn-glycerol-3-phosphate, 1,2-diacyl-sn-glycerol-3-phosphate, diglyceride, triacylglycerol). These genes and metabolites likely play a dominant role in the development of goose fatty liver, collectively promoting hepatic triacylglycerol accumulation and the progression of goose fatty liver.