Hanchen Tian

Viral co-infections pose significant challenges, causing substantial economic losses worldwide in the poultry industry. Among these, avian lLeukosis virus subgroup J (ALV-J) and chicken infectious anemia virus (CIAV) are particularly concerning, as they frequently lead to co-infections in chickens, further compromising their immune defenses, increasing susceptibility to secondary infections and diminishing vaccine efficacy. While our previous studies have examined the pathogenicity and immunosuppressive effects of these co-infections in vitro and in vivo, the key genes and molecular pathways involved remain largely unexplored. This study investigates the synergistic effects of co-infection with ALV-J and CIAV through comprehensive transcriptome analysis using high-throughput sequencing. We identified 1007 differentially expressed mRNAs (DEmRNAs) and 62 differentially expressed miRNAs (DEmiRNAs) associated with the synergistic activation effects of co-infection, along with 331 DEmRNAs and 62 DEmiRNAs linked to specific activation processes. Notably, the immune suppression observed in co-infected chickens may be influenced by the enhanced utilization of reactive oxygen species (ROS) and oxidative stress pathways, which impact host immune responses. Furthermore, co-infection appears to employ distinct immune evasion strategies through the modulation of rRNA metabolism, differing from single infections. These insights provide a deeper understanding of the molecular mechanisms underlying immune suppression during viral co-infections and help develop targeted therapies and improve disease control in poultry, reducing economic losses.

In the realm of poultry production, viral superinfections pose significant challenges, causing substantial economic losses worldwide. Among these, avian leukosis virus subgroup J (ALV-J) and infectious bursal disease virus (IBDV) are particularly concerning as they frequently lead to superinfections in chicken, further exacerbating production losses and health complications. Our previous research delved into the pathogenicity and immunosuppressive effects of these superinfections through in vitro and in vivo analyses. Yet, the underlying key genes and pathways governing this phenomenon remained elusive. In this study, we randomly selected three chickens at 21 days post infection from each treatment group (ALV-J, IBDV, ALV-J+IBDV, and control group) to collect the bursa of Fabricius samples for full transcriptome analysis. Utilizing these data, we constructed a comprehensive circRNA/lncRNA-miRNA-mRNA network which elucidated both synergistic and specific activations during the superinfection. Notably, three pivotal genes (FILIP1L, DCX, and MYPN) were pinpointed in datasets reflecting synergistic activations. Conversely, four other genes (STAP, HKR6, XKR4, and TLR5) emerged in datasets associated with specific activations. Further exploration revealed diverse significant GO terms and pathways associated with both synergistic and distinct activation processes. These ceRNA network and core genes potentially wield substantial influence over the synergistic or specific activation of tumorigenesis and pathogenesis induced by ALV-J and IBDV. These findings could help develop targeted therapies and improve disease control in poultry, reducing economic losses.

Subgroup J avian leukemia virus (ALV-J) and chicken infectious anemia virus (CIAV) are widely acknowledged as significant immunosuppressive pathogens that commonly co-infect chickens, causing substantial economic losses in the poultry industry. However, whether co-infection of ALV-J and CIAV have synergistic pathogenicity remains uncertain. To explore their synergistic pathogenesis, we established a co-infection model of ALV-J and CIAV in HD11 cells and specific-pathogen-free (SPF) chickens. We discovered that ALV-J and CIAV can synergistically promote the secretion of IL-6, IL-10, IFN-α, and IFN-γ and apoptosis in HD11 cells. In vivo, compared to the ALV-J and CIAV mono-infected group, the mortality increased significantly by 27% (20 to 47%) and 14% (33 to 47%) in the co-infected group, respectively. We also discovered that ALV-J and CIAV synergistically inhibited weight gain and exhibited more severe organ damage in co-infected chickens. Furthermore, we found that CIAV can promote the replication of ALV-J in HD11 cells and significantly enhance ALV-J viral load in blood and tissues of co-infected chickens, but ALV-J cannot promote the replication of CIAV. Moreover, by measuring the immune organ indexes and proportions of blood CD3⁺CD4⁺ and CD3⁺CD8⁺ lymphocytes, more serious instances of immunosuppression were observed in ALV-J and CIAV co-infected chickens than in mono-infected chickens. Taken together, our findings demonstrate that ALV-J and CIAV synergistically enhance pathogenicity and immunosuppression.

The purpose of the experiment was to study the effects of different concentrations of Lactobacillus plantarum (LP) and Bacillus licheniformis (BL) on the quality of hybrid Pennisetum (HP) silage. The experiment consisted of five treatment groups. The control group did not use additives, and the experimental groups were added with LP or BL of 1 × 10⁵ cfu/g fresh weight (FW) and 1 × 10⁷ cfu/g FW, respectively. The results showed that LP and BL could increase the in vitro fermentation gas production and reduce the ammonia nitrogen (AN) content in HP silage. Water-soluble carbohydrates (WSC), lactic acid (LA) content, and gas production in the LP group were positively correlated with LP addition, and acetic acid (AA) was negatively correlated with addition. The content of WSC and LA in the LP7 group was significantly higher than that in the control group (p < 0.05), and AA was lower than that in the control group (p > 0.05). Dry matter (DM), crude protein (CP), and gas production were negatively correlated with the addition of BL, while acid detergent fiber (ADF) content was positively correlated with the addition of BL. Furthermore, in the above indicators, the BL5 group reached a significant level with the control group (p < 0.05). The results of 16sRNA showed that the use of LP and BL could increase the relative abundance of Lactobacillus and decrease the relative abundance of Weissella in HP silage compared with the control group. In conclusion, LP and BL can significantly improve the quality of HP silage. The LP7 group and the BL5 group have the best silage effect. From the perspective of gas production in in vitro fermentation, the LP7 group had stronger fermentability and higher nutritional value.

The silage quality and bacterial community of hybrid Pennisetum (P. hydridum × P. americanum) with or without 30% and 50% mulberry leaves for 3, 7, 14, and 30 days were investigated. Results showed that compared with the 100% hybrid Pennisetum group, more lactic acid (40.71 vs. 80.81 g/kg dry matter (DM)), acetic acid (10.99 vs. 31.84 g/kg DM), lactic acid bacteria (8.46 vs. 8.51 log₁₀ cfu/g fresh matter), water-soluble carbohydrates (2.41 vs. 4.41 g/100 g DM), crude protein (4.97 vs. 10.84 g/100 g DM), and true protein (3.91 vs. 8.52 g/100 g DM) content as well as less neutral detergent fiber (67.30 vs. 47.26 g/100 g DM), acid detergent fiber (33.85 vs. 25.38 g/100 g DM), and yeast counts (4.78 vs. 2.39 log₁₀ cfu/g fresh matter) and an appropriate pH (3.77 vs. 4.06) were found in silages added with 50% mulberry leaves at 30 days of ensiling. Moreover, the addition of mulberry leaves also influenced the relative abundance of the bacterial community. The relative abundance of Firmicutes increased and Proteobacteria decreased when mulberry leaves were added. Weissella and Lactobacillus abundance also increased. To sum up the above, mixing with 50% mulberry leaves yielded the greatest fermentation quality in this study. In conclusion, mixing with mulberry leaves could be a reasonable way to improve the quality of hybrid Pennisetum silage.

The present study investigated the effects of malic acid, sucrose, and their mixture on the fermentation parameters, Cornell Net Carbohydrate and Protein System (CNCPS) nitrogen fractions, and bacterial community of Moringa oleifera leaves (MOL) silages. The trial was divided into four treatments and labeled as CON (control group) and MLA, SUC, and MIX (respectively denoting the addition of 1% malic acid, 1% sucrose, and 1% malic acid + 1% sucrose to the fresh weight basis). The silage packages were opened on the 2nd, 5th, 10th, 20th, and 40th days of ensiling for subsequent determination. Malic acid and sucrose increased the lactic acid content (p < 0.05) and pH value, and the acetic acid contents of MLA and MIX were lower than those in CON (p < 0.05). Compared with sucrose, malic acid had a better capacity to preserve nutrients and inhibit proteolysis, and thus exerted better effects on the CNCPS nitrogen fractions. The results of 16S rRNA showed that the dominant phyla were Firmicutes and Proteobacteria and that the dominant genera were Lactobacillus and Weissella. With the application of silage additives and the processing of fermentation, there was a remarkable change in the composition and function of the bacterial community. The variation of the fermentation parameters and CNCPS nitrogen fractions in the MOL silages caused by malic acid and sucrose might be attributed to the dynamic and dramatic changes of the bacterial community.

This study investigated the effects of lycopene on the gene expression profile and expression of genes related to fat metabolism of Xinghua breeding hens. Seven hundred and twenty healthy breeding hens were randomly assigned to four treatments; each treatment was replicated six times with 30 hens each. Broken rice and soybean meal were adopted for the basal diet and added with 0 (control group), 20, 40 and 80 mg/kg lycopene respectively. Gene expression profile of the liver induced by lycopene and expression of genes related to fat metabolism in hens liver and intestine were analysed after 42‐day feeding trial including 7‐day pre‐feeding period and 35‐day formal period. The genes involved in fat metabolism were analysed, and we found that lycopene significantly increased the expression of PGC1α, PPARα, RXRα and RARα in the liver, PPARγ, RXRα and RXRγ in the jejunum, and RARα in the duodenum (p < .05); reduced the expression of FABP1 and FABP10 in the liver, and FATP4 in the jejunum (p < .05). By analysing gene expression profile, 158 differentially expressed genes (DEGs) including 69 up‐regulated genes and 89 down‐regulated genes were obtained between control group and 40 mg/kg group. KEGG pathway analysis was performed on all DEGs, and 5 pathways were obtained. In conclusion, lycopene can affect the expression of related genes, and this may be one of the reasons that lycopene can regulate fat metabolism.