Animal Bioscience最新文献

{"title":"Effects of soybean meal replacement strategies on meat flavor in male Dumont lambs.","authors":"Henan Lu, Hairong Wang, Boyang Li, Zenghao Lv, Shufang Li, Shuyuan Xue, Yuhao Xia","doi":"10.5713/ab.260501","DOIUrl":"https://doi.org/10.5713/ab.260501","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the effects of different soybean meal replacement strategies using urea, cottonseed meal, and rapeseed meal on growth performance, meat quality, and flavor of Dumont lambs, and to identify the key metabolic pathways and genes involved in flavor formation through integrated volatile metabolomics and transcriptomics.</p><p><strong>Methods: </strong>Twenty-four male Dumont lambs were randomly divided into four groups: Group T1 (CON, no urea added), Group T2 (1.5% urea replacing 57.9% soybean meal), Group T3 (1% urea replacing 36.8% soybean meal), and Group T4 (1% urea + cottonseed meal + rapeseed meal replacing 100% soybean meal). Growth and carcass performance, meat quality of the longissimus dorsi muscle were evaluated under different soybean meal replacement strategies, volatile metabolomics and transcriptomics analyses were conducted to elucidate the molecular mechanisms regulating meat flavor.</p><p><strong>Results: </strong>The T2 group produced meat quality traits and flavor profiles most like those of the control group. The T3 group reduced the concentrations of several amino acids, while T4 group enhanced intramuscular fat deposition and promoted the accumulation of desirable lipogenic aroma compounds. Integrated omics analysis revealed enrichment of lipid metabolism pathways, including AMPK and PPAR signalling, fatty acid biosynthesis, and glycerolipid metabolism. Key genes involved in fatty acid synthesis, elongation, desaturation, and lipid storage (ACACA, FASN, SCD, ELOVL6, DGAT2, LPL, CIDEC, ADIPOQ) correlated significantly with flavor-related fatty acids and volatile compounds.</p><p><strong>Conclusion: </strong>The 1.5% urea group maintained meat quality and flavor characteristics comparable to those of the control diet, whereas complete replacement of soybean meal promoted intramuscular fat deposition and enhanced the formation of desirable lipid-derived aroma compounds. This study provides a reference for the development of low-cost nitrogen sources and for future research on metabolism related to lamb muscle flavor.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149178724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Regression Models for Predicting Major Primal-Cut Weights across Carcass-Weight Categories in Landrace × Yorkshire × Duroc Pigs.","authors":"Jiwoo Kang, Taehyung Lee, Beobmo Ku, Minjun Kim, Sanghyun Doh, Gyutae Park, Sanghun Park, Jungseok Choi","doi":"10.5713/ab.260403","DOIUrl":"https://doi.org/10.5713/ab.260403","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to identify the best-performing regression algorithm for predicting the weights of major primal cuts within each pig carcass weight category, in order to improve the accuracy of meat yield estimation.</p><p><strong>Methods: </strong>Data from 2,676,916 Landrace × Yorkshire × Duroc (LYD) pigs slaughtered between 2022 and 2024 were utilized. Carcass weights were categorized into five intervals: ≤70, 71-80, 81-90, 91-100, and >100 kg. Five types of regression models (simple linear regression, multiple linear regression, Elastic Net, partial least squares regression, and random forest) were applied to seven primal cuts (shoulder blade, shoulder picnic, loin, belly, ribs, tenderloin, and ham). Model robustness was further assessed via 5-fold cross-validation, nested hyperparameter tuning, external temporal validation, VIF-based multicollinearity screening, and bootstrap-based uncertainty quantification of R² and RMSE.</p><p><strong>Results: </strong>The SLR models showed low explanatory power with coefficients of determination (R2) ranging from 0.04 to 0.66. In contrast, MLR and Elastic Net demonstrated high predictive performance for most primal cuts and weight intervals, with R2 values between 0.56 and 0.99. RF exhibited particularly high explanatory power for the belly. Carcass weight was confirmed as the most critical variable across all cuts, showing a strong positive correlation. Lean meat percentage generally had a positive influence on cut weights, whereas fat percentage had a negative influence, except in the belly, where fat-related variables were highly significant. Backfat thickness, sex, and season had limited impact on prediction performance.</p><p><strong>Conclusion: </strong>The results of this study confirmed the differences in primal cut growth patterns by carcass weight categories and demonstrated that advanced regression models can accurately predict yields. This is expected to provide fundamental data for precise yield estimation and the establishment of data driven production strategies, helping to enhance the efficiency of slaughter and meat processing management.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149178763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of non-linear growth models to estimate growth curves and related genetic parameters in Inter-cross sheep.","authors":"Abdul Rahim, Rajni Chaudhary, K S RajaRavindra, R Pourouchottamane, Pallavi Chauhan, Arun Kumar","doi":"10.5713/ab.250763","DOIUrl":"https://doi.org/10.5713/ab.250763","url":null,"abstract":"<p><strong>Objective: </strong>Evaluation of growth curves is a valuable approach to predict the growth and developmental patterns of different animals. The aim of this study was to monitor the growth curve traits using various non-linear models and related genetic parameters in Inter-cross sheep.</p><p><strong>Methods: </strong>The information utilized in this study were collected from 743 Inter-cross lambs descended from 139 sires and 414 dams over the period from 2012 to 2022. Five non-linear mathematical models were applied to 3715 body weight records collected at birth, 3, 6, 9 and 12 months of age. The best fitting model was evaluated using various goodness of fit criteria including adjusted coefficient of determination(R2adj.), root means square error(RMSE), Akaike's information criterion(AIC) and Bayesian information criterion(BIC). Genetic parameters were estimated by employing animal model using WOMBAT program.</p><p><strong>Results: </strong>Analysis revealed that, Brody model was the most suitable for describing the growth curve of both sexes and overall Inter-cross sheep based on its highest R²adj and lowest RMSE, AIC, and BIC values. The models were ranked in the following order of goodness: Brody, Bertalanffy, Gompertz, Logistic and Negative Exponential. Overall estimated values of asymptotic weight(A), inflexion point(B) and maturation rate(k) under best model were 29.81±1.39, 0.87±0.03 and 0.21±0.03, respectively. Least squares analysis revealed significant influence of period of lambing, lamb sex and ewe weight at lambing on estimated traits. Male lambs showed greater mature weight than ewes, while female lambs had high maturation rate. Direct heritability estimates for A, B and k were 0.13±0.06, 0.40±0.07 and 0.11±0.05 respectively. The genetic and phenotypic correlations of A-B were positive and moderate and negative between A-K and B-K.</p><p><strong>Conclusion: </strong>Limited genetic variability observed in the growth curve parameters indicates the need to control environmental variations through proper measures in order to achieve the desired growth and implement effective selection programs.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149178795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Xylo-oligosaccharides supplementation as prebiotic to fattening Hu lambs: effects on growth, nutrient digestibility, and rumen bacterial community.","authors":"Tao Guo, Fei Li, Xu Yang, Yanli Shi, Xinji Wang, Hui Xu, Zhiyuan Ma, Long Guo, Fadi Li, Baocang Liu, Jing Bai","doi":"10.5713/ab.260537","DOIUrl":"https://doi.org/10.5713/ab.260537","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate the effects of dietary XOS supplementation on growth performance, nutrient digestibility, rumen fermentation parameters, and the ruminal bacterial community in fattening Hu lambs.</p><p><strong>Methods: </strong>A total of 32 fattening lambs with an average body weight (BW) of 20.39±0.35 kg (3 months of age) were randomly assigned to either a control diet without the XOS-containing product (Control, n=16) or a diet supplemented with the commercial XOS-containing product at 6 g/kg DM (XOS, n=16). Body weight was recorded on d 0, 21, 42 and 63. At the end of the experiment, rumen fluid samples from randomly selected lambs were collected for VFA analysis and rRNA gene sequencing.</p><p><strong>Results: </strong>Dietary XOS supplementation increased final body weight (BW) and dry matter intake (DMI), while average daily gain (ADG) tended to be greater when evaluated over the entire 63-d experimental period. Repeated-measures analysis indicated an overall treatment effect on ADG. Additionally, XOS supplementation increased NDF digestibility and the amount of digested NDF. At the time of rumen sampling, total volatile fatty acid (VFA) concentration and the molar proportion of butyrate were greater, whereas the molar proportions of isobutyrate and isovalerate were lower in XOS-supplemented lambs than in control lambs. In addition, XOS supplementation decreased the Shannon and Simpson diversity indices without affecting ACE or Chao1 richness indices and increased the relative abundance of Bacteroidetes.</p><p><strong>Conclusion: </strong>Dietary XOS supplementation was associated with greater DMI, improved NDF utilization, and altered ruminal VFA profiles and bacterial community composition in finishing Hu lambs. These responses were accompanied by greater final BW, suggesting that dietary XOS supplementation may have potential as a nutritional strategy for finishing lambs.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149178786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-trait GWAS and comparative genomics identify candidate genes associated with egg weight and yolk lipid deposition in chicken.","authors":"Qianyun Ji, Xiao Wang, Jiajia Shi, Linnan Han, Xuqiao Lang, Hailiang Yu, Liping Guo, Xingyong Chen","doi":"10.5713/ab.260593","DOIUrl":"https://doi.org/10.5713/ab.260593","url":null,"abstract":"<p><strong>Objective: </strong>Yolk lipids support embryonic and post-hatch development in poultry, while egg weight serves as a crucial selection trait regulated by polygenes. Understanding the genetic mechanisms underlying egg weight and yolk weight helps improve chicken breeding. This research aimed to explore key genomic regions and candidate genes potentially associated with these traits in indigenous chickens, to provide theoretical basis and genetic resources for genomic selection and precision breeding.</p><p><strong>Methods: </strong>Phenotypic and genetic correlation analyses were performed on indigenous chicken populations. Single-trait and multi-trait genome-wide association studies (GWAS) were used to screen trait-related SNPs. Selective sweep and runs of homozygosity (ROH) island analyses across chicken breeds were implemented to verify candidate regions. Upstream transcription factors and signaling pathways of candidate genes were further investigated for molecular mechanism validation.</p><p><strong>Results: </strong>Egg weight was strongly positively correlated with yolk weight in indigenous chickens. Integrated analyses of GWAS, MTAG, ROH, and selection signatures highlighted FASN and FAR1 as candidate genes potentially associated with egg and yolk weight. Functional verification demonstrated that transcription factor Sp1 activates the expression of FASN. This interaction promotes lipid metabolism and lipid droplet synthesis in chicken hepatocytes, suggesting a potential regulatory mechanism that may contribute to egg weight and yolk weight variation.</p><p><strong>Conclusion: </strong>This study highlights candidate loci and genes associated with egg and yolk weight in indigenous chickens and provides in vitro evidence supporting the involvement of the Sp1-FASN axis in hepatic lipid metabolism. These findings provide insights into the potential molecular mechanisms underlying yolk lipid deposition and provide candidate loci for further validation in genetic improvement of egg weight.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149178788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nutritional and metabolic mechanisms linking low protein and low amino acid diets to fatty liver in laying hens.","authors":"Atsushi Murai, Misae Yamazaki, Kyohei Furukawa","doi":"10.5713/ab.260525","DOIUrl":"https://doi.org/10.5713/ab.260525","url":null,"abstract":"<p><p>Fatty liver is a common metabolic disorder in laying hens and is strongly influenced by dietary protein and amino acid supply. Low protein or low amino acid diets disrupt the balance between nitrogen and energy intake, enhancing hepatic de novo lipogenesis. Severe dietary protein and amino acid deficiency also impairs hepatic apolipoprotein synthesis and secretion. These metabolic alterations promote hepatic triglyceride accumulation and increase susceptibility to fatty liver. Although nutrient-sensing mechanisms in birds remain incompletely defined, evidence from mammalian studies suggests that amino acid deficiency may activate GCN2-ATF4 signaling and modulate mTORC1 activity, contributing to lipogenic reprogramming. Importantly, protein dilution alone rarely induces severe steatosis; rather, the combination of low protein and excessive dietary energy (HELP diet feeding) markedly amplifies lipogenesis, oxidative stress, inflammation, and hepatic injury, accelerating progression toward fatty liver hemorrhagic syndrome (FLHS). This review summarizes current knowledge on the physiological and molecular mechanisms linking low protein and low amino acid diets to fatty liver in laying hens, evaluates the HELP model as an experimental framework for FLHS, and outlines nutritional and functional additives shown to mitigate HELP-induced hepatic pathology. Together, these insights provide a mechanistic basis for developing safer low protein feeding strategies in modern layer production.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149178800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic associations of temperament and facial hair whorls with productive, reproductive, and carcass traits in Canchim beef cattle.","authors":"Ayrton Fernandes de Oliveira Bessa, Giovanna Maria Dos Santos Câmara, Carolina Zucatelle, Felipe Kenji Futema, Roney Teixeira, Gabriela Cenedeze, Ana Luisa Paçó Bugner, Vanessa Aparecida Feijó de Souza, Walsiara Estanislau Maffei, Andrea Roberto Bueno Ribeiro, Cintia Righetti Marcondes, Marcos Eli Buzanskas","doi":"10.5713/ab.260151","DOIUrl":"10.5713/ab.260151","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to estimate genetic parameters and evaluate genetic correlations between temperament and facial hair whorl traits with productive, reproductive, and carcass traits in Canchim beef cattle.</p><p><strong>Methods: </strong>Phenotypic records of animals born between 2013 to 2022 were analyzed. Temperament was assessed using behavioral scores, including movement, tension, breathing, and vocalization. Reactivity was measured using accelerometers and flight time, while facial hair whorls were characterized by their presence, number, position, and height. Traits related to productivity, reproduction, and carcass characteristics included body weights, scrotal circumference, and ribeye area at different ages. Genetic parameters were estimated using single- and two-trait animal models.</p><p><strong>Results: </strong>Heritability estimates ranged from low to high (0.09 to 0.67), indicating sufficient additive genetic variability for all trait groups. Positive genetic correlations were observed between body weight traits and temperament measures, particularly vocalization and flight time, in addition to correlations between ribeye area and reactivity flight time. Scrotal circumference at 12 and 18 months of age showed moderate to high genetic correlations with facial hair whorl traits, especially whorl number and position.</p><p><strong>Conclusion: </strong>The results indicate that selection for productive and reproductive traits may result in indirect improvements in temperament. Moreover, the pre-selection for the absence of facial hair whorls, along with the selection for body weight and scrotal circumference, may promote favorable genetic gains in temperament, supporting their inclusion into Canchim breeding programs.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":"260151"},"PeriodicalIF":3.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662933/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147832678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A decision support framework for reliable early prediction of long-term cumulative milk yield in dairy cows.","authors":"Jae-Woo Song, Dong-Hyeon Kim, Seung-Hyun Lee, Seongwon Seo, Wang-Hee Lee","doi":"10.5713/ab.260424","DOIUrl":"10.5713/ab.260424","url":null,"abstract":"<p><strong>Objective: </strong>Early prediction of cumulative milk yield from initial lactation records enables timely culling, selective breeding, and optimized feed allocation, thereby improving herd efficiency and farm profitability. However, predicting long-term production remains challenging because of high variability in early-lactation patterns and limited available data. This study aimed to develop and compare predictive models for estimating long-term cumulative milk yield from daily production records and to identify the optimal approach and minimum days in milk (DIM) threshold for reliable prediction.</p><p><strong>Methods: </strong>We used 211 lactation datasets with complete records up to 305 DIM, selected from daily milk yield records of 727 dairy cows. Six models were evaluated: three statistical methods (simple averaging, adjustment factor, and correction coefficient) and three ensemble machine learning algorithms (CatBoost, XGBoost, and Random Forest). Because lactation patterns differ between primiparous and multiparous cows, parity-specific models were also developed. Predictive performance was assessed using mean absolute percentage error (MAPE) between predicted and actual yields.</p><p><strong>Results: </strong>The 305-day cumulative milk yield was predicted within an 11% error margin across all base DIMs, with the smallest discrepancy of 0.5 kg observed in the XGBoost model. Machine learning models showed better performance during early lactation (MAPE 8.878 at base DIM 30 for parity ≥2), whereas statistical models achieved higher accuracy after base DIM 120 (MAPE 4.311 at base DIM 150 for parity 1).</p><p><strong>Conclusion: </strong>This study provides a lactation stage-dependent and parity-specific prediction framework that bridges early-lactation uncertainty and long-term productivity estimation. By enabling model selection according to data availability and lactation stage, the proposed approach supports the practical application of predictive analytics in dairy farming and provides a decision-support framework for early culling, feeding optimization, and productivity-based herd management.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":"260424"},"PeriodicalIF":3.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662939/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148618035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genome-wide identification of long non-coding RNAs in pigs and their roles in muscle development.","authors":"Hang Liu, Hao Wang, Ligang Wang, Yuedong Zhang, Chao Guo, Lin Tao, Minsheng Peng, Zhongyin Zhou, Ruifei Yang, Ya-Ping Zhang","doi":"10.5713/ab.260444","DOIUrl":"10.5713/ab.260444","url":null,"abstract":"<p><strong>Objective: </strong>Long non-coding RNAs (lncRNAs) regulates complex traits in pigs and the systematic annotation and functional roles of these genes remain poorly understood. This study aimed to construct a comprehensive porcine lncRNA atlas and explore the regulatory role of lncRNAs in muscle development.</p><p><strong>Methods: </strong>We used 8,871 strand-specific RNA-seq datasets to identify porcine lncRNAs. Their transcriptional characteristics, tissue specificity, evolutionary conservation, and expression quantitative trait locus (eQTL)-supported regulatory relationships were esamined. Single-cell RNA-seq, Hi-C, H3K27ac ChIP-seq, and population differentiation analyses were further incorporated to investigate candidate lncRNAs involved in muscle development.</p><p><strong>Results: </strong>We identified 50,203 porcine lncRNA genes with greater tissue specificity and lower expression levels than protein-coding genes. A subset of lncRNAs showed sequence conservation across mammals. Integration with pigGTEx data identified extensive eQTLsupported lncRNA-mRNA candidate regulatory pairs enriched in active promoter and enhancer chromatin states. Single-cell and multi-omics analyses highlighted PRANCR as a candidate regulator of postnatal muscle growth in Laiwu pigs. A highly distinct enhancer variation (chr5:g.34155013T>C; Sscrofa11.1) could affect SOX8 binding and regulate PRANCR expression in satellite stem cells.</p><p><strong>Conclusion: </strong>The current study provides the most comprehensive porcine lncRNA resource currently available and proposes a potential enhancer-lncRNA regulatory mechanism that contributes to muscle development in pigs.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":"260444"},"PeriodicalIF":3.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148618039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated transcriptomic and metabolomic analyses reveal host-metabolite interactions underlying cloacal inflammation in laying Pekin ducks.","authors":"Yaxi Xu, Wentao Cai, Qinglei Yang, Zhenlin Liu, Xihui Sheng, Shuisheng Hou, Jian Hu","doi":"10.5713/ab.260208","DOIUrl":"10.5713/ab.260208","url":null,"abstract":"<p><strong>Objective: </strong>Cloacal inflammation in laying ducks, often accompanied by prolapse, is a major threat to animal welfare, productivity, and intestinal health. However, the underlying molecular and metabolic mechanisms remain largely unclear.</p><p><strong>Methods: </strong>Cloacal tissues and contents from inflamed and healthy laying Pekin ducks were examined histologically, transcriptomically, and metabolomically. Cross-omics integration was used to identify coordinated molecular and metabolic changes.</p><p><strong>Results: </strong>Hematoxylin and eosin staining showed a loose and disorganized structure of the cloacal sphincter in inflamed ducks. Transcriptomic analysis identified differentially expressed genes that are enriched in immune signaling, inflammatory response, and epithelial repair pathways. Metabolomic profiling revealed significant alterations in taurine- and lipid-related metabolic pathways. Integrated analysis highlighted coordinated changes between immune-related genes (COL6A3, SPARC, PPEF1, HSD17B2, and KCNG2) and key metabolites including Hydroxytyrosol-Ac, Phytol, GG-alcohol, MeCys-SO, Thiazoline, and PEA-glu.</p><p><strong>Conclusion: </strong>The findings provide a multi-omics perspective on cloacal inflammation in laying Pekin ducks, highlighting host-metabolite interactions that may play a role in immune activation and epithelial barrier dysfunction.</p>","PeriodicalId":7825,"journal":{"name":"Animal Bioscience","volume":" ","pages":"260208"},"PeriodicalIF":3.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13662949/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147687680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}