Literature DB >> 30728470

The gut microbiota is largely independent of host genetics in regulating fat deposition in chickens.

Chaoliang Wen1, Wei Yan1, Congjiao Sun1, Congliang Ji2, Qianqian Zhou1, Dexiang Zhang2, Jiangxia Zheng3, Ning Yang4.   

Abstract

The gut microbiota has an important role in animal health and performance, but its contribution is difficult to determine, in particular given the effects of host genetic factors. Here, whole-genome sequencing of the hosts and 16S rRNA gene sequencing of the microbiota were performed to separate the effects between host genetics and the microbiota in the duodenum, jejunum, ileum, caecum and faeces on fat deposition in 206 yellow broilers reared under identical conditions. Despite the notable spatial variation in the diversity, composition and potential function of the gut microbiota, host genetics exerted limited effects on the gut microbial community. The duodenal and caecal microbiota made greater contributions to fat deposition and could separately account for 24% and 21% of the variance in the abdominal fat mass after correcting for host genetic effects. We further identified two caecal microbial taxa, Methanobrevibacter and Mucispirillum schaedleri, which were significantly correlated with fat deposition. Chickens with a lower Methanobrevibacter abundance had significantly lower abdominal fat content than those with a higher abundance of Methanobrevibacter (35.51 vs. 55.59 g), and the body weights of these chickens did not notably differ. Chickens with a higher M. schaedleri abundance exhibited lower abdominal fat accumulation (39.88 vs. 55.06 g) and body weight (2.23 vs. 2.41 kg) than those with a lower abundance of this species. These findings may aid the development of strategies for altering the gut microbiota to control fat deposition during broiler production.

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Year:  2019        PMID: 30728470      PMCID: PMC6775986          DOI: 10.1038/s41396-019-0367-2

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


  72 in total

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4.  Construction of multiple linear regression models using blood biomarkers for selecting against abdominal fat traits in broilers.

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5.  Feed efficiency measures and their relationships with production and meat quality traits in slower growing broilers.

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  40 in total

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5.  Feed Restriction Improves Lipid Metabolism by Changing the Structure of the Cecal Microbial Community and Enhances the Meat Quality and Flavor of Bearded Chickens.

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9.  Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance.

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10.  Comparative characterization of bacterial communities in geese consuming of different proportions of ryegrass.

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