Identification of Gut Microbiota Affecting Fiber Digestibility in Pigs

文献类型： 外文期刊

第一作者： Niu, Qing

作者： Niu, Qing;Pu, Guang;Fan, Lijuan;Gao, Chen;Lan, Tingxu;Liu, Chenxi;Du, Taoran;Li, Pinghua;Huang, Ruihua;Niu, Qing;Pu, Guang;Fan, Lijuan;Gao, Chen;Lan, Tingxu;Liu, Chenxi;Du, Taoran;Niu, Peipei;Zhang, Zongping;Li, Pinghua;Huang, Ruihua;Niu, Qing;Kim, Sung Woo

作者机构：

关键词： gut microbiota; apparent NDF digestibility; apparent ADF digestibility; microbial function

期刊名称：CURRENT ISSUES IN MOLECULAR BIOLOGY （ 影响因子：2.976； 五年影响因子：3.139 ）

ISSN： 1467-3037

年卷期： 2022 年 44 卷 10 期

页码：

收录情况： SCI

摘要： Dietary fiber plays an important role in porcine gut health and welfare. Fiber is degraded by microbial fermentation in the intestine, and most gut microbiota related to fiber digestibility in pigs are worth pursuing. The aim of this study was to identify gut microbiota associated with the apparent total tract digestibility (ATTD) of neutral detergent fiber (NDF) and of acid detergent fiber (ADF) in pigs. Large phenotypic variations in the ATTD of NDF and of ADF were separately found among 274 Suhuai pigs. Microbial community structures were significantly different between high and low fiber digestibility groups. Fourteen genera separately dominated the communities found in the high ATTD (H-AD) of NDF and ADF samples and were in very low abundance in the low ATTD (L-AD) of NDF and ADF samples. In conclusion, norank_f__Bacteroidales_S24-7_group (p < 0.05), Ruminococcaceae_UCG-005 (p < 0.05), unclassified_f__Lachnospiraceae (p < 0.05), Treponema_2 (p < 0.01), and Ruminococcaceae_NK4A214_group (p < 0.01) were the main genera of gut microbiota affecting the ATTD of NDF in pigs. Christensenellaceae_R-7_group (p < 0.01), Treponema_2 (p < 0.05), Ruminococcaceae_NK4A214_group (p < 0.05), Ruminococcaceae_UCG-002 (p < 0.05), and [Eubacterium]_coprostanoligenes_group (p < 0.05) were the main genera of gut microbiota affecting the ATTD of ADF in pigs. The most important functions of the above different potential biomarkers were: carbohydrate transport and metabolism, general function prediction only, amino acid transport and metabolism, cell wall/membrane/envelope biogenesis, translation, transcription, replication, energy production and conversion, signal transduction mechanisms, and inorganic ion transport and metabolism. The most important metabolic pathways of the above different potential biomarkers were: membrane transport, carbohydrate metabolism, amino acid metabolism, replication and repair, translation, cell motility, energy metabolism, poorly characterized, nucleotide metabolism, metabolism of cofactors and vitamins, and cellular processes and signaling.

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