He Huan, Yang Mingzhi, Li Wentao, Lu Zeqing, Wang Yizhen, Jin Mingliang
Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Hangzhou, Zhejiang, China.
Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, Zhejiang, China.
Front Microbiol. 2023 Sep 18;14:1191392. doi: 10.3389/fmicb.2023.1191392. eCollection 2023.
Recently, the research on pig intestinal microbiota has become a hot topic in the field of animal husbandry. There are few articles describing the dynamic changes of porcine fecal microbiota and metabolites at different time points from birth to market.
In the present study, 381 fecal samples were collected from 633 commercial pigs at 7 time points, including the 1st day, the 10th day, the 25th day, the 45th day, the 70th day, the 120th day, and the 180th day after the birth of swine, were used for microbiome analysis by Illumina MiSeq sequencing methods while 131 fecal samples from 3 time points, the 10th day, the 25th day, and 70th day after birth, were used for metabolome analysis by LC-MS methods.
For the microbiome analysis, the fecal microbial richness increased over time from day 1 to 180 and the β-diversity of fecal microbiota was separated significantly at different time points. Firmicutes were the main phyla from day 10 to 180, followed by Bacteroides. The abundance of increased significantly on day 120 compared with the previous 4 time points. From day 120 to day 180, the main porcine fecal microbes were , , and . and increased over time, while , decreased with the time according to the heatmap, which showed the increase or decrease in microbial abundance over time. For the metabolome analysis, the PLS-DA plot could clearly distinguish porcine fecal metabolites on day 10, 25, and 70. The most different metabolic pathways of the 3 time points were Tryptophan metabolism, Sphingolipid signaling pathway, Protein digestion and absorption. Some metabolites increased significantly over time, such as Sucrose, L-Arginine, Indole, 2,3-Pyridinedicarboxylic acid and so on, while D-Maltose, L-2-Aminoadipic acid, 2,6-diaminohexanoic acid, L-Proline were opposite. The correlation between fecal metabolites and microbiota revealed that the microbes with an increasing trend were positively correlated with the metabolites affecting the tryptophan metabolic pathway from the overall trend, while the microbes with a decreasing trend were opposite. In addition, the microbes with an increasing trend were negatively correlated with the metabolites affecting the lysine pathway.
In conclusion, this study elucidated the dynamic changes of porcine fecal microbiota and metabolites at different stages from birth to market, which may provide a reference for a comprehensive understanding of the intestinal health status of pigs at different growth stages.
近年来,猪肠道微生物群的研究已成为畜牧领域的热门话题。目前鲜有文章描述从出生到上市不同时间点猪粪便微生物群和代谢产物的动态变化。
在本研究中,从633头商品猪中在7个时间点采集了381份粪便样本,包括猪出生后的第1天、第10天、第25天、第45天、第70天、第120天和第180天,采用Illumina MiSeq测序方法进行微生物组分析;同时从3个时间点(出生后的第10天、第25天和第70天)采集了131份粪便样本,采用LC-MS方法进行代谢组分析。
对于微生物组分析,粪便微生物丰富度从第1天到第180天随时间增加,且粪便微生物群的β多样性在不同时间点有显著差异。从第10天到第180天,厚壁菌门是主要菌门,其次是拟杆菌门。与前4个时间点相比,第120天的丰度显著增加。从第120天到第180天,猪粪便中的主要微生物是、、和。根据热图显示微生物丰度随时间的增减情况,和随时间增加,而和随时间减少。对于代谢组分析,PLS-DA图可以清晰区分第10天、第25天和第70天的猪粪便代谢产物。这3个时间点差异最大的代谢途径是色氨酸代谢、鞘脂信号通路、蛋白质消化和吸收。一些代谢产物随时间显著增加,如蔗糖、L-精氨酸、吲哚、2,3-吡啶二甲酸等,而D-麦芽糖、L-2-氨基己二酸、2,6-二氨基己酸、L-脯氨酸则相反。粪便代谢产物与微生物群之间的相关性表明,从总体趋势来看,呈增加趋势的微生物与影响色氨酸代谢途径的代谢产物呈正相关,而呈减少趋势的微生物则相反。此外,呈增加趋势的微生物与影响赖氨酸途径的代谢产物呈负相关。
总之,本研究阐明了从出生到上市不同阶段猪粪便微生物群和代谢产物的动态变化,这可能为全面了解猪在不同生长阶段的肠道健康状况提供参考。