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代谢建模揭示了真菌益生菌、家禽微生物群和饮食之间的复杂相互作用。

Metabolic modelling uncovers the complex interplay between fungal probiotics, poultry microbiomes, and diet.

作者信息

Al-Nijir Montazar, Chuck Christopher J, Bedford Michael R, Henk Daniel A

机构信息

Department of Chemical Engineering, University of Bath, Bath, BA2 7AY, UK.

Department of Life Sciences, University of Bath, Bath, BA2 7AY, UK.

出版信息

Microbiome. 2024 Dec 20;12(1):267. doi: 10.1186/s40168-024-01970-2.

Abstract

BACKGROUND

The search for alternatives to antibiotic growth promoters in poultry production has increased interest in probiotics. However, the complexity of the interactions between probiotics, gut microbiome, and the host hinders the development of effective probiotic interventions. This study explores metabolic modelling to examine the possibility of designing informed probiotic interventions within poultry production.

RESULTS

Genomic metabolic models of fungi were generated and simulated in the context of poultry gut microbial communities. The modelling approach correlated with short-chain fatty acid production, particularly in the caecum. Introducing fungi to poultry microbiomes resulted in strain-specific and diet-dependent effects on the gut microbiome. The impact of fungal probiotics on microbiome diversity and pathogen inhibition varied depending on the specific strain, resident microbiome composition, and host diet. This context-dependency highlights the need for tailored probiotic interventions that consider the unique characteristics of each poultry production environment.

CONCLUSIONS

This study demonstrates the potential of metabolic modelling to elucidate the complex interactions between probiotics, the gut microbiome, and diet in poultry. While the effects of specific fungal strains were found to be context-dependent, the approach itself provides a valuable tool for designing targeted probiotic interventions. By considering the specific characteristics of the host microbiome and dietary factors, this methodology could guide the deployment of effective probiotics in poultry production. However, the current work relies on computational predictions, and further in vivo validation studies are needed to confirm the efficacy of the identified probiotic candidates. Nonetheless, this study represents a significant step in using metabolic models to inform probiotic interventions in the poultry industry. Video Abstract.

摘要

背景

在家禽生产中寻找抗生素生长促进剂的替代品,增加了人们对益生菌的兴趣。然而,益生菌、肠道微生物群和宿主之间相互作用的复杂性阻碍了有效的益生菌干预措施的发展。本研究探索代谢建模,以检验在家禽生产中设计明智的益生菌干预措施的可能性。

结果

生成了真菌的基因组代谢模型,并在禽肠道微生物群落的背景下进行了模拟。该建模方法与短链脂肪酸的产生相关,特别是在盲肠中。将真菌引入家禽微生物群会对肠道微生物群产生菌株特异性和饮食依赖性的影响。真菌益生菌对微生物群多样性和病原体抑制的影响因特定菌株、常驻微生物群组成和宿主饮食而异。这种背景依赖性凸显了需要考虑每个家禽生产环境独特特征的定制益生菌干预措施。

结论

本研究证明了代谢建模在阐明家禽中益生菌、肠道微生物群和饮食之间复杂相互作用方面的潜力。虽然发现特定真菌菌株的影响具有背景依赖性,但该方法本身为设计有针对性的益生菌干预措施提供了有价值的工具。通过考虑宿主微生物群的特定特征和饮食因素,这种方法可以指导有效益生菌在家禽生产中的应用。然而,目前的工作依赖于计算预测,需要进一步的体内验证研究来确认所确定的益生菌候选物的功效。尽管如此,本研究代表了利用代谢模型为家禽业的益生菌干预提供信息的重要一步。视频摘要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b49e/11662766/25ab5df90de6/40168_2024_1970_Fig1_HTML.jpg

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