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A multiplatform metabolomic approach to characterize fecal signatures of negative postnatal events in chicks: a pilot study

机译:多平台代谢组学方法表征雏鸡阴性产后事件的粪便特征:一项初步研究

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摘要

Background:Negative experiences in early life can induce long-lasting effects on the welfare,health,and performance of farm animals.A delayed placement of chicks in rearing houses has negative effects on their performance,and results in fecal-specific odors detectable by rats.Based on this observation,the volatile organic compounds (VOCs) and metabolites from the feces of 12-day-old chickens were screened for early markers of response to negative events using gas-chromatography and liquid-chromatography coupled with mass spectrometry (GC-MS,LC-HRMS).Results:The low reproducibility of solid-phase micro-extraction of the VOCs followed by GC-MS was not suitable for marker discovery,in contrast to liquid extraction of metabolites from freeze-dried feces followed by GC-MS or LC-HRMS analysis.Therefore,the fecal metabolome from 12-day-old chicks having experienced a normal or delayed placement were recorded by GC-MS and LC-HRMS in two genotypes from two experiments.From both experiments,25 and 35 metabolites,respectively explaining 81% and 45% of the difference between delayed and control chickens,were identified by orthogonal partial least-squares discriminant analysis from LC-HRMS and GC-MS profiling.Conclusion:The sets of molecules identified will be useful to better understand the chicks' response to negative events over time and will contribute to define stress or welfare biomarkers.
机译:背景:早期的负面经历会对农场动物的福利,健康和性能产生长期影响。延迟将小鸡放置在饲养场中会对它们的性能产生负面影响,并导致大鼠可检测到粪便特有的气味基于这一观察结果,采用气相色谱和液相色谱-质谱联用(GC-GC-MS)筛选了12日龄鸡粪便中的挥发性有机化合物(VOC)和代谢物,以寻找对阴性事件反应的早期标志物。结果:VOCs固相微萃取和GC-MS的低重现性低再现性不适合标记物的发现,与之相比,冻干粪便中液体的代谢物再GC- MS或LC-HRMS分析。因此,通过GC-MS和LC-HRMS在两个实验中的两个基因型中记录了经历正常或延迟放置的12日龄小鸡的粪便代谢组。两个实验25 a通过LC-HRMS和GC-MS分析的正交偏最小二乘判别分析,鉴定了35种代谢物,分别解释了延迟鸡和对照鸡之间81%和45%的差异。结论:鉴定出的分子集将很有用以便更好地了解雏鸡对负面事件的反应,并有助于确定压力或福利生物标志物。

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  • 来源
    《畜牧与生物技术杂志(英文版)》 |2019年第2期|424-434|共11页
  • 作者单位

    BOA, INRA, Université de Tours, 37380 Nouzilly, France;

    Université de Tours,PST Analyse des systèmes biologiques, Tours, France;

    Université de Tours,PST Analyse des systèmes biologiques, Tours, France;

    BOA, INRA, Université de Tours, 37380 Nouzilly, France;

    BOA, INRA, Université de Tours, 37380 Nouzilly, France;

    PRC, INRA, CNRS,Université de Tours, IFCE, 37380 Nouzilly, France;

    Université de Tours,PST Analyse des systèmes biologiques, Tours, France;

    UMR 1253, iBrain,Université de Tours, Inserm, Tours, France;

    CHRU de Tours, Service de Médecine Nucléaire In Vitro, Tours, France;

    BOA, INRA, Université de Tours, 37380 Nouzilly, France;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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