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通过猪血浆的高通量代谢组学获得的去势公猪和未阉割后备母猪之间代谢差异的描述。

Description of metabolic differences between castrated males and intact gilts obtained from high-throughput metabolomics of porcine plasma.

作者信息

Bovo Samuele, Bolner Matteo, Schiavo Giuseppina, Galimberti Giuliano, Bertolini Francesca, Dall'Olio Stefania, Ribani Anisa, Zambonelli Paolo, Gallo Maurizio, Fontanesi Luca

机构信息

Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.

Department of Statistical Sciences "Paolo Fortunati", University of Bologna, Bologna, Italy.

出版信息

J Anim Sci. 2025 Jan 4;103. doi: 10.1093/jas/skaf178.

Abstract

Surgically castrated male pigs, which are commonly produced in pork production systems, have slightly lower production efficiency, compared to intact female pigs (gilts). This is mainly due to an unfavorable feed conversion rate and fatter carcasses. These differences influenced by physiological and genetic factors can be identified through metabolomics, which describes metabolic profiles. In this study, we used untargeted metabolomics to analyze the plasma of 694 Italian Large White pigs (228 castrated males and 466 intact gilts), sampled at slaughter. The metabolomic profiles included 731 metabolites covering 98 sub-pathways. The raw metabolomic data were cleaned and imputed using multivariate imputation by chained equations. The Boruta algorithm was then employed to identify metabolites that have different concentrations between castrated males and intact gilts. To address the random nature of feature selection, multiple Boruta runs were generated, and nested within a 10-fold cross-validation, resulting in 1,250 Boruta datasets. These datasets helped identify 40 informative metabolites, with a reduced core of 15 metabolites consistently confirmed across all runs. Their calculated random forest out-of-bag error was 0.25 and 0.27, respectively. The relevance, ranking, and predictive ability of each selected metabolite were determined based on the mean decrease Gini (MDG) and the area under the curve (AUC) of the receiver operating characteristic curve analysis, with MDG values of 0.024 ± 0.007 and 0.030 ± 0.009 and AUC values of 0.62 ± 0.04 and 0.65 ± 0.03 for the 2 metabolite sets, respectively. Of the 40 selected metabolites, 60% had higher concentrations in castrated males than in intact gilts, while in the 15 metabolites set, this percentage was 80%. Network and biological pathways analyses indicated that the selected metabolites were primarily amino acids and lipids, many of which belonged to their respective sub-pathways, suggesting minimal biological differences between castrated males and intact gilts. These findings support previous results obtained using a targeted metabolomic platform. This study represents the largest investigation to date on the pig sex metabolome, providing essential biological insights that could inform precise husbandry and feeding strategies in pigs, taking into consideration the castration status of the males.

摘要

在猪肉生产系统中常见的经手术阉割的雄性猪,与未阉割的雌性猪(后备母猪)相比,生产效率略低。这主要是由于饲料转化率不佳和胴体更肥。受生理和遗传因素影响的这些差异可通过代谢组学来识别,代谢组学描述代谢谱。在本研究中,我们使用非靶向代谢组学分析了694头意大利大白猪(228头阉割雄性猪和466头未阉割后备母猪)屠宰时采集的血浆。代谢组学谱包括731种代谢物,涵盖98条亚途径。原始代谢组学数据通过链式方程的多元插补进行清理和插补。然后采用博鲁塔算法识别阉割雄性猪和未阉割后备母猪之间浓度不同的代谢物。为了解决特征选择的随机性,生成了多个博鲁塔运行,并嵌套在10折交叉验证中,产生了1250个博鲁塔数据集。这些数据集帮助识别出40种信息性代谢物,在所有运行中一致确认的核心代谢物减少到15种。它们计算出的随机森林袋外误差分别为0.25和0.27。根据平均减少基尼系数(MDG)和接受者操作特征曲线分析的曲线下面积(AUC)确定每个选定代谢物的相关性、排名和预测能力,两个代谢物集的MDG值分别为0.024±0.007和0.030±0.009,AUC值分别为0.62±0.04和0.65±0.03。在选定的40种代谢物中,60%在阉割雄性猪中的浓度高于未阉割后备母猪,而在15种代谢物组中,这一比例为80%。网络和生物途径分析表明,选定的代谢物主要是氨基酸和脂质,其中许多属于各自的亚途径,这表明阉割雄性猪和未阉割后备母猪之间的生物学差异最小。这些发现支持了使用靶向代谢组学平台获得的先前结果。本研究是迄今为止对猪性别代谢组进行的最大规模调查,提供了重要的生物学见解,可为考虑雄性阉割状态的猪的精准饲养和喂养策略提供参考。

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