Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jan 21:11:590441.
doi: 10.3389/fmicb.2020.590441. eCollection 2020.

Unravelling the Role of Rumen Microbial Communities, Genes, and Activities on Milk Fatty Acid Profile Using a Combination of Omics Approaches

Affiliations

Unravelling the Role of Rumen Microbial Communities, Genes, and Activities on Milk Fatty Acid Profile Using a Combination of Omics Approaches

Sokratis Stergiadis et al. Front Microbiol. .

Abstract

Milk products are an important component of human diets, with beneficial effects for human health, but also one of the major sources of nutritionally undesirable saturated fatty acids (SFA). Recent discoveries showing the importance of the rumen microbiome on dairy cattle health, metabolism and performance highlight that milk composition, and potentially milk SFA content, may also be associated with microorganisms, their genes and their activities. Understanding these mechanisms can be used for the development of cost-effective strategies for the production of milk with less SFA. This work aimed to compare the rumen microbiome between cows producing milk with contrasting FA profile and identify potentially responsible metabolic-related microbial mechanisms. Forty eight Holstein dairy cows were fed the same total mixed ration under the same housing conditions. Milk and rumen fluid samples were collected from all cows for the analysis of fatty acid profiles (by gas chromatography), the abundances of rumen microbiome communities and genes (by whole-genome-shotgun metagenomics), and rumen metabolome (using 500 MHz nuclear magnetic resonance). The following groups: (i) 24 High-SFA (66.9-74.4% total FA) vs. 24 Low-SFA (60.2-66.6%% total FA) cows, and (ii) 8 extreme High-SFA (69.9-74.4% total FA) vs. 8 extreme Low-SFA (60.2-64.0% total FA) were compared. Rumen of cows producing milk with more SFA were characterized by higher abundances of the lactic acid bacteria Lactobacillus, Leuconostoc, and Weissella, the acetogenic Proteobacteria Acetobacter and Kozakia, Mycobacterium, two fungi (Cutaneotrichosporon and Cyphellophora), and at a lesser extent Methanobrevibacter and the protist Nannochloropsis. Cows carrying genes correlated with milk FA also had higher concentrations of butyrate, propionate and tyrosine and lower concentrations of xanthine and hypoxanthine in the rumen. Abundances of rumen microbial genes were able to explain between 76 and 94% on the variation of the most abundant milk FA. Metagenomics and metabolomics analyses highlighted that cows producing milk with contrasting FA profile under the same diet, also differ in their rumen metabolic activities in relation to adaptation to reduced rumen pH, carbohydrate fermentation, and protein synthesis and metabolism.

Keywords: cow; metabolomics; metagenomics; microbial genes; milk fatty acids; rumen microbiome; rumen stress.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Variation in milk saturated (SFA, C12, C14, C16) and unsaturated (cis-MUFA, cis-PUFA, ALNA, and n-3) fatty acids (as a percentage of total fatty acids) for 48 animals grouped between Low-(L) and High-(H) milk SFA. *P < 0.05, **P < 0.01.
Figure 2
Figure 2
Heatmap of the microbial genera indicating their partial least square coefficient for each fatty acid. (A) Unsaturated or saturated FA groups correlated with a particular genus. (B) Individual FA groups correlated with a particular genus. Blue color indicates a negative PLS coefficient between the genus and the fatty acid, whilst red indicates the opposite.
Figure 3
Figure 3
Heatmap of the most significant microbial genes indicating their partial least square coefficient for each fatty acid. Blue color indicates a negative PLS coefficient between the genus and the fatty acid, whilst red color indicates the opposite.
Figure 4
Figure 4
(a) Plot of the scores against the cross validated scores generated from the O-PLS DA model calculated using 16 samples of the spectra as a matrix of independent variables and high vs. low gene index as predictor. (b,c) Aliphatic and aromatic regions of ruminal fluid spectra showing metabolomics differences between groups with high and low levels of the genes K01126 (A), K03778 (B), K06148 (C), K00383 (D), and K00525 (E).

Similar articles

Cited by

References

    1. Agricultural and Food Research Council (1993). Energy and Protein Requirements of Ruminants. Wallingford, UK: CAB International.
    1. Akin D. E., Borneman W. S. (1990). Role of rumen fungi in fiber degradation. J. Dairy Sci. 73, 3023–3032. 10.3168/jds.S0022-0302(90)78989-8 - DOI - PubMed
    1. Aue W. P., Bartholdi E., Ernst R. R. (1975). Two-dimensional spectroscopy. application to nuclear magnetic resonance. J. Chem. Phys. 64:2229 10.1063/1.432450 - DOI
    1. Auffret M. D., Dewhurst R. J., Duthie C.-A., Rooke J. A., Wallace R. J., Freeman T. C., et al. (2017). The rumen microbiome as a reservoir of antimicrobial resistance and pathogenicity genes is directly affected by diet in beef cattle. Microbiome 5:159 10.1186/s40168-017-0378-z - DOI - PMC - PubMed
    1. Barcelo-Goblijn G., Murphy E. J. (2009). Alpha-linolenic acid and its conversion to longer chain n-3 fatty acids: benefits for human health and a role in maintaining tissue n-3 fatty acid levels. Prog. Lipid Res. 48, 355–374. 10.1016/j.plipres.2009.07.002 - DOI - PubMed

LinkOut - more resources