Evidence map›Paper›PMID 41852384›Full record

ArticleFrontiers in microbiomes2025

The effects of different dietary nutritional levels on meat quality, rumen microbiota, and muscle metabolomics in Tibetan Plateau yaks.

Shengchun Xu, Shuxiang Wang, Jiyuan Zhang, Xun Wang, Yingkui Yang, Shengsheng Li, Yang Xiang, Hongxin Nie, Yuming Li, Ziming Zeng and 2 more

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Article in Frontiers in microbiomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Shengchun XuQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Shuxiang WangQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Jiyuan ZhangQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Xun WangQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Yingkui YangQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Shengsheng LiQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Yang XiangQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Hongxin NieNew Hope Ecological Animal Husbandry Company Limited, Chengdu, Sichuan, China.
Yuming LiQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Ziming ZengQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Shatuo ChaiQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.
Shujie LiuQinghai Academy of Animal Husbandry and Veterinary Sciences in Qinghai University, Xining, Qinghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The nutritional level of the diet plays a crucial role in maintaining the balance of the yak rumen microbiota. To explore the relationship between dietary nutritional levels, the rumen microbiota, and muscle metabolites, we examined the characteristics of the yak rumen microbiota and muscle metabolome under different dietary nutritional levels. Methods: Randomly divide 24 yaks with similar body weights, [235.96 ± 12.46 kg], into three groups. These groups were subjected to three nutritional feeding levels: ad libitum feeding (AL), 70% of ad libitum intake (IR70), and 40% of ad libitum intake (IR40). When the yaks in the AL group gained 70 kg in body weight, they were slaughtered. Results: The results indicated that the ad libitum feeding group (AL) demonstrated superior edible meat quality in terms of Chroma L*, Chroma a*, and shear force, compared to the 70% intake group (IR70) and the 40% intake group (IR40). At the phylum level, the abundance of Patescibacteria was notably greater in the IR40 group compared to both the AL group and the IR70 group. At the genus level, the relative abundance of Succinimonas was higher in the AL group than in both the IR70 and IR40 groups. Untargeted metabolomics analysis revealed that the levels of metabolites such as 5-Methylcytosine, Cytosine, and Thymine were upregulated in the longissimus dorsi muscle of the AL group, which contributed to the enhancement of meat flavor. Furthermore, Spearman's correlation analysis revealed a notable relationship between the rumen microbiota and both meat quality and metabolite levels. pH45min is positively correlated with trans-Cinnamic acid. Methanobrevibacter exhibited a positive correlation with the concentration of 4-(Diethylamino)benzaldehyde, while Candidatus_Saccharimonas showed a positive correlation with the concentration of phenylacetylglycine. Discussion: This study provides scientific evidence for understanding the impact of different nutritional feeding conditions on yak meat quality, rumen microbiota, and related muscle metabolomic pathways. It also reveals the potential impact of these factors on meat flavor. These findings offer important reference information for optimizing yak husbandry management, improving the formation of beef flavor compounds, and understanding their regulatory mechanisms.

Indexed as

16S rRNAdietary nutritional levelsmeat qualitymetabolomicsyak

Identifiers

PMID41852384
PMCPMC12993581

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.