Dynamic Alterations in Yak Rumen Bacteria Community and Metabolome Characteristics in Response to Feed Type

被引:217
作者
Liu, Chang [1 ]
Wu, Hao [1 ]
Liu, Shujie [2 ]
Chai, Shatuo [2 ]
Meng, Qingxiang [1 ]
Zhou, Zhenming [1 ]
机构
[1] China Agr Univ, Coll Anim Sci & Technol, State Key Lab Anim Nutr, Beijing, Peoples R China
[2] Qinghai Univ, Qinghai Acad Anim & Vet Sci, Xining, Qinghai, Peoples R China
关键词
yak; rumen; microbiota; metabolomics; feed type; REVEALS UNHEALTHY ALTERATIONS; VOLATILE FATTY-ACIDS; MICROBIAL COMMUNITIES; RUMINAL MICROBIOTA; LINOLEIC-ACID; AMINO-ACIDS; OLEIC-ACID; SP-NOV; BIOHYDROGENATION; METHIONINE;
D O I
10.3389/fmicb.2019.01116
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Current knowledge about the relationships between ruminal bacterial communities and metabolite profiles in the yak rumen is limited. This is due to differences in the nutritional and metabolic features between yak and other ordinary cattle combined with difficulties associated with farm-based research and a lack of technical guidance. A comprehensive analysis of the composition and alterations in ruminal metabolites is required to advance the development of modern yak husbandry. In the current study, we characterized the effect of feed type on the ruminal fluid microbiota and metabolites in yak using 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC-MS). Bacteroidetes and Firmicutes were the predominant bacterial phyla in the yak rumen. At the genus level, the relative abundance of Bacteroidales BS11 gut group, Prevotellaceae UCG-003, Ruminococcaceae UCG-011, Bacteroidales RF16 group and Ruminococcaceae UCG-010 was significantly (P < 0.01) higher in the forage group compared to that in the concentrate group, while the concentrate group harbored higher proportions of Bacteroidales S24-7 group, Ruminococcaceae NK4A214, Succiniclasticum and Ruminococcus 2. Yak rumen metabolomics analysis combined with enrichment analysis revealed that feed type altered the concentrations of ruminal metabolites as well as the metabolic pattern, and significantly (P < 0.01) affected the concentrations of ruminal metabolites involved in protein digestion and absorption (e.g., L-arginine, ornithine, L-threonine, L-proline and beta-alanine), purine metabolism (e.g., xanthine, hypoxanthine, deoxyadenosine and deoxyadenosine monophosphate) and fatty acid biosynthesis (e.g., stearic acid, myristic acid and arachidonic acid). Correlation analysis of the association of microorganisms with metabolite features provides us with a comprehensive understanding of the composition and function of microbial communities. Associations between utilization or production were widely identified between affected microbiota and certain metabolites, and these findings will contribute to the direction of future research in yak.
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页数:19
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共 102 条
[1]   BIOSYNTHESIS OF AMINO ACIDS BY RUMINAL MICROORGANISMS [J].
ALLISON, MJ .
JOURNAL OF ANIMAL SCIENCE, 1969, 29 (05) :797-+
[2]   Metabolomics reveals unhealthy alterations in rumen metabolism with increased proportion of cereal grain in the diet of dairy cows [J].
Ametaj, Burim N. ;
Zebeli, Qendrim ;
Saleem, Fozia ;
Psychogios, Nikolaos ;
Lewis, Michael J. ;
Dunn, Suzanna M. ;
Xia, Jianguo ;
Wishart, David S. .
METABOLOMICS, 2010, 6 (04) :583-594
[3]   Rumen bacterial communities can be acclimated faster to high concentrate diets than currently implemented feedlot programs [J].
Anderson, C. L. ;
Schneider, C. L. ;
Erickson, G. E. ;
MacDonald, J. C. ;
Fernando, S. C. .
JOURNAL OF APPLIED MICROBIOLOGY, 2016, 120 (03) :588-599
[4]   Rumen Fluid Metabolomics Analysis Associated with Feed Efficiency on Crossbred Steers [J].
Artegoitia, Virginia M. ;
Foote, Andrew P. ;
Lewis, Ronald M. ;
Freetly, Harvey C. .
SCIENTIFIC REPORTS, 2017, 7
[5]   Alteration of Rumen Bacteria and Protozoa Through Grazing Regime as a Tool to Enhance the Bioactive Fatty Acid Content of Bovine Milk [J].
Bainbridge, Melissa L. ;
Saldinger, Laurel K. ;
Barlow, John W. ;
Alvez, Juan P. ;
Roman, Joe ;
Kraft, Jana .
FRONTIERS IN MICROBIOLOGY, 2018, 9
[6]   The Contribution of Mathematical Modeling to Understanding Dynamic Aspects of Rumen Metabolism [J].
Bannink, Andre ;
van Lingen, Henk J. ;
Ellis, Jennifer L. ;
France, James ;
Dijkstra, Jan .
FRONTIERS IN MICROBIOLOGY, 2016, 7
[7]   Characterization of the biochemical variability of bovine milk using metabolomics [J].
Boudonck, Kurt J. ;
Mitchell, Matthew W. ;
Wulff, Jacob ;
Ryals, John A. .
METABOLOMICS, 2009, 5 (04) :375-386
[8]   AUTOMATED SIMULTANEOUS DETERMINATION OF AMMONIA AND TOTAL AMINO-ACIDS IN RUMINAL FLUID AND INVITRO MEDIA [J].
BRODERICK, GA ;
KANG, JH .
JOURNAL OF DAIRY SCIENCE, 1980, 63 (01) :64-75
[9]   Lipid metabolism in the rumen: New insights on lipolysis and biohydrogenation with an emphasis on the role of endogenous plant factors [J].
Buccioni, Arianna ;
Decandia, Mauro ;
Minieri, Sara ;
Molle, Giovanni ;
Cabiddu, Andrea .
ANIMAL FEED SCIENCE AND TECHNOLOGY, 2012, 174 (1-2) :1-25
[10]   Associating microbiome composition with environmental covariates using generalized UniFrac distances [J].
Chen, Jun ;
Bittinger, Kyle ;
Charlson, Emily S. ;
Hoffmann, Christian ;
Lewis, James ;
Wu, Gary D. ;
Collman, Ronald G. ;
Bushman, Frederic D. ;
Li, Hongzhe .
BIOINFORMATICS, 2012, 28 (16) :2106-2113