Microbiome And Metabolic Changes In Milk In Response To Artemisinin Supplementation In Dairy Cows
文献类型: 外文期刊
作者: Hou, K; Tong, JJ; Zhang, H; Gao, S; Guo, YQ; Niu, H; Xiong, BH; Jiang, LS
作者机构:
关键词: Microbiome; Metabolomics; Artemisinin; Milk; Dairy Cows
期刊名称: AMB EXPRESS
ISSN: 2191-0855
年卷期: 2020 年 10 卷 1 期
页码:
收录情况: JCR(2021版)
摘要: This study aimed to explore the effects of artemisinin (ART) on the milk microbiome and metabolites of dairy cow. A total of 12 mid-lactation Holstein dairy cows with similar parity, days in milk were randomly divided into 2 groups receiving either a total mixed ration (TMR) as the control group or this TMR and 120 g/d/head ART as the ART group. The milk samples were collected weekly to determine the contents, and end-of-trial (week 8) milk samples were used to identify microbial species and metabolite profiles by 16S rRNA sequencing and LC-MS analyses, respectively. We observed that the milk fat content significantly increased by ART treatment (P < 0.05). The bacterial community richness was significantly lower in the ART group (P < 0.05), while the diversity showed no difference (P > 0.05). Compared with its abundance in the control (CON) group,Firmicuteswas significantly decreased, whereasProteobacteriawas significantly increased. Furthermore, in the ART group, the relative abundances of the generaAerococcus,Staphylococcus, Corynebacterium_1andFacklamiawere significantly lower (P < 0.01). Metabolomics analysis revealed that ART significantly increasing the concentrations of glycerophospholipids, glycerolipids and flavonoids compared with those in the CON group. An enrichment analysis of the different metabolites showed that ART mainly affected glycerophospholipid metabolism and the pantothenate and CoA biosynthesis pathways. These findings revealed that ART supplementation could affect the milk microbiota and metabolites, that glycerophospholipids and glycerolipids could be potential biomarkers in the milk response to ART feed in dairy cows, and that ART changes substances in milk by maintaining lipid metabolism in the mammary gland.
分类号:
- 相关文献
作者其他论文 更多>>
-
Illumina Miseq Sequencing Reveals The Effects Of Grape Seed Procyanidin On Rumen Archaeal Communities In Vitro
作者:Zhang, H; Tong, JJ; Wang, Z; Xiong, BH; Jiang, LS
关键词:Grape Seed Procyanidin Extract; Archaeal Community; Methanogenesis; Miseq High-Throughput Sequencing
-
Effects Of The Combination Of Moderate Electric Field And High-Oxygen Modified Atmosphere Packaging On Pork Meat Quality During Chill Storage
作者:Hu, HH; Zhang, L; Lu, LL; Huang, F; Chen, WB; Zhang, CJ; Zhang, H; Goto, K
关键词:
-
Evaluating The Effect Of Dam Construction On The Phosphorus Fractions In Sediments In A Reservoir Of Drinking Water Source, China
作者:Qin, LH; Lei, P; Lei, QL; Liu, HB; Li, XY; Zhang, H; Lindsey, S
关键词:Phosphorus Fraction; Miyun Reservoir; Dam; Sediment; Eutrophication
-
Strategy Of Fusion Covalent Organic Frameworks And Molecularly Imprinted Polymers: A Surprising Effect In Recognition And Loading Of Cyanidin-3-O-Glucoside
作者:Zhao, QY; Zhang, H; Zhao, HT; Liu, J; Liu, JY; Chen, ZL; Li, B; Liao, XJ; Mac Regenstein, J; Wang, J; Yang, X
关键词:Molecularly Imprinted Polymers; Covalent Organic Frameworks; Magnetic Responsiveness; Cyanidin-3-O-Glucoside; Recognition
-
Diagnostic Indicators Of Wild Pollinators For Biodiversity Monitoring In Long-Term Conservation
作者:Naeem, M; Huang, JX; Zhang, SW; Luo, SD; Liu, YJ; Zhang, H; Luo, QH; Zhou, ZY; Ding, GL; An, JD
关键词:Bumblebees; China; Biogeographic Regions; Ward'S Agglomerative Cluster Analysis; Canonical Correspondence Analysis; Variation Partition
-
Evaluation Of Sugar And Organic Acid Composition And Their Levels In Highbush Blueberries From Two Regions Of China
作者:Zhang, J; Nie, JY; Li, J; Zhang, H; Li, Y; Farooc, S; Bacha, SAS; Wang, J
关键词:Blueberry; Sugar; Organic Acid; Level; Evaluation
-
Proteomic Analysis Of Bovine Mammary Epithelial Cells After In Vitro Incubation Withs. Agalactiae: Potential Biomarkers
作者:Tong, JJ; Sun, MW; Zhang, H; Yang, DL; Zhang, YH; Xiong, BH; Jiang, LS
关键词:Proteomic Analysis; Bovine Mammary Epithelial Cells; Streptococcus Agalactiae; Potential Biomarkers