应用递归模型评估宿主基因组和肠道微生物组对猪饲料效率的作用

IF 4.1 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Animal Pub Date : 2025-03-01 Epub Date: 2025-02-05 DOI:10.1016/j.animal.2025.101453
P. Nuñez , G. Martinez-Boggio , J. Casellas , L. Varona , F. Peñagaricano , N. Ibáñez-Escriche
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引用次数: 0

摘要

肠道微生物组通过提供必需的营养物质和支持免疫系统,在猪的生产性能和健康中起着重要作用。最近的研究表明,肠道微生物组可以解释在生长、健康和肉类品质方面观察到的部分变化。饲料效率在养猪生产中至关重要,因为饲料成本占总生产成本的60%以上。本研究旨在评估在集约化条件下饲养的伊比利亚猪的宿主基因组、肠道微生物组和饲料效率之间的关系。具体目的是评估肠道微生物组对饲料效率的中介作用,并估计饲料效率的直接和总遗传力。数据集包括587头伊比利亚猪的饲料转化率(FCR)和剩余采食量(RFI),以及151头在选择核中饲养的伊比利亚猪的16S rRNA肠道微生物丰度。我们将标准双变量混合模型中的方差成分重新参数化为递归模型,以解开微生物组对饲料效率的中介作用。在我们的模型中,宿主基因组对表型(G→P)和肠道微生物组(G→M)都有直接影响。此外,宿主基因组对微生物组介导的表型有间接影响(G→M→P)。共鉴定出对FCR有相关影响的类群14个,对RFI有相关影响的类群16个。我们对肠道微生物组进行了分类,以便在养猪业中有潜在的实际应用。对因果关系相关、遗传力低的肠道微生物可通过管理干预进行调控,对因果关系相关、遗传力中等的肠道微生物可通过选择性育种进行针对性调控。我们的研究结果表明,结合微生物组数据导致FCR和RFI的总遗传力降低。本研究为肠道微生物组与饲料效率之间的联系提供了新的见解,提出了通过选择性育种或管理干预可以影响目标微生物的实用方法。
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Applying recursive modelling to assess the role of the host genome and the gut microbiome on feed efficiency in pigs
The gut microbiome plays an important role in the performance and health of swine by providing essential nutrients and supporting the immune system. Recent studies have demonstrated that the gut microbiome can explain part of the variation observed in growth, health, and meat quality. Feed efficiency is crucial in swine production, as feed cost account for more than 60% of total production costs. This study aimed to assess the relationships between the host genome, gut microbiome, and feed efficiency in Iberian pigs raised under intensive conditions. The specific objectives were to assess the mediating effects of the gut microbiome on feed efficiency and to estimate the direct and total heritability of feed efficiency. The data set included the feed conversion ratio (FCR) and residual feed intake (RFI) from 587 Iberian pigs, as well as the 16S rRNA gut microbial abundance from 151 of those pigs raised in a nucleus of selection. We reparametrised variance components from standard bivariate mixed models into recursive models to disentangle the microbiome’s mediating effect on feed efficiency. In our models, the host genome has direct effects on both the phenotype (G→P) and the gut microbiome (G→M). Additionally, there is an indirect effect of the host genome on the phenotype mediated by the microbiome (G→M→P). We identified a total of 14 taxa with relevant effects on FCR and 16 taxa with relevant effects on RFI. We categorised the gut microbiome into groups for potential practical application in pig farming. The gut microbes with relevant causal effects and low heritability can be manipulated through management interventions, while those microbes with relevant causal effects and moderate heritability can be targeted through selective breeding. Our findings indicate that incorporating microbiome data leads to a reduction in total heritability for both FCR and RFI. This study provides new insights into the link between the gut microbiome and feed efficiency, presenting practical methods to target microbes that can be influenced through selective breeding or management interventions.
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来源期刊
Animal
Animal 农林科学-奶制品与动物科学
CiteScore
7.50
自引率
2.80%
发文量
246
审稿时长
3 months
期刊介绍: Editorial board animal attracts the best research in animal biology and animal systems from across the spectrum of the agricultural, biomedical, and environmental sciences. It is the central element in an exciting collaboration between the British Society of Animal Science (BSAS), Institut National de la Recherche Agronomique (INRA) and the European Federation of Animal Science (EAAP) and represents a merging of three scientific journals: Animal Science; Animal Research; Reproduction, Nutrition, Development. animal publishes original cutting-edge research, ''hot'' topics and horizon-scanning reviews on animal-related aspects of the life sciences at the molecular, cellular, organ, whole animal and production system levels. The main subject areas include: breeding and genetics; nutrition; physiology and functional biology of systems; behaviour, health and welfare; farming systems, environmental impact and climate change; product quality, human health and well-being. Animal models and papers dealing with the integration of research between these topics and their impact on the environment and people are particularly welcome.
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