Potential Role of the Bovine Rumen Microbiome in Modulating Milk Composition and Feed Efficiency

Jami, Elie; White, Bryan A.; Mizrahi, Itzhak

doi:10.1371/journal.pone.0085423

Cited by 460 publications

(440 citation statements)

References 27 publications

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“…The composition of the core rumen microbiome did not change, but the relative abundance of these two phyla showed great variation, since the percentage of Bacteroidetes was less than Firmicutes. Bacteroidetes and Firmicutes are the most prevalent phyla in many ruminants, and the Firmicutes to Bacteroidetes ratio has been considered as an important parameter for assessing the microbe impact on host energy requirements [33,40,75]. Many studies have found a strong correlation between the ratio of Firmicutes to Bacteroidetes related to roughage proportion and milk-fat yield [19,33,57].…”

Section: Core Prokaryotic Communities In the Rumenmentioning

confidence: 99%

“…Bacteroidetes and Firmicutes are the most prevalent phyla in many ruminants, and the Firmicutes to Bacteroidetes ratio has been considered as an important parameter for assessing the microbe impact on host energy requirements [33,40,75]. Many studies have found a strong correlation between the ratio of Firmicutes to Bacteroidetes related to roughage proportion and milk-fat yield [19,33,57]. Jami et al [30] found that Bacteroidetes was more abundant than Firmicutes in older bovines that had a diet composed mainly of plant fiber, but they were less abundant in newborns.…”

Section: Core Prokaryotic Communities In the Rumenmentioning

confidence: 99%

“…The diet and feeding pattern are recognized as the key factors affecting rumen efficiency and the rumen microbial community composition [88]. Consequently, according to previous studies [9,33,35], it was speculated that differences in rumen microbial communities in yaks and Tibetan sheep under different feeding paradigms could cause variations in CH 4 formation and the conversion of feed to animal products. Consequently, a deep understanding of rumen microbial composition and variation is essential not only for developing appropriate feeding and management strategies for enhancing health and productivity of yaks and Tibetan sheep, but also for reducing CH 4 emission from ruminants on the QTP.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rumen prokaryotic communities of ruminants under different feeding paradigms on the Qinghai-Tibetan Plateau

Xue

Chen

Zhao

et al. 2017

Systematic and Applied Microbiology

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Section: Core Prokaryotic Communities In the Rumenmentioning

confidence: 99%

Section: Core Prokaryotic Communities In the Rumenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Rumen prokaryotic communities of ruminants under different feeding paradigms on the Qinghai-Tibetan Plateau

Xue

Chen

Zhao

et al. 2017

Systematic and Applied Microbiology

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“…Feed efficiency in dairy cattle is known to be affected by a variety of factors, including host genetics, environmental conditions such as ambient temperature, the various metabolic contributions and demands of pregnancy, tissue mobilization, and immune response. Moreover, recent studies have reported that the composition of the ruminal microbial community is associated with differences in several drivers of feed efficiency (2, 12-15), milk yield and composition (12,(16)(17)(18)(19), and alterations in pregnancy stage (20).Recent work using high-throughput sequencing technology has revealed correlations between the abundance of particular ruminal bacterial genera with milk composition and RFI, although these determinations did not consider changes over entire lactation cycles (12,20). Given that milk production is altered by major physiological shifts associated with stage of lactation and pregnancy (6, 21), it is necessary to consider that time may be a significant variable in the composition of the ruminal microbial community.…”

mentioning

confidence: 99%

Ruminal Bacterial Community Composition in Dairy Cows Is Dynamic over the Course of Two Lactations and Correlates with Feed Efficiency

Jewell

McCormick

Odt

et al. 2015

Appl Environ Microbiol

237

223

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bFourteen Holstein cows of similar ages were monitored through their first two lactation cycles, during which ruminal solids and liquids, milk samples, production data, and feed consumption data were collected for each cow during early (76 to 82 days in milk [DIM]), middle (151 to 157 DIM), and late (251 to 257 DIM) lactation periods. The bacterial community of each ruminal sample was determined by sequencing the region from V6 to V8 of the 16S rRNA gene using 454 pyrosequencing. Gross feed efficiency (GFE) for each cow was calculated by dividing her energy-corrected milk by dry matter intake (ECM/DMI) for each period of both lactation cycles. Four pairs of cows were identified that differed in milk production efficiency, as defined by residual feed intake (RFI), at the same level of ECM production. The most abundant phyla detected for all cows were Bacteroidetes (49.42%), Firmicutes (39.32%), Proteobacteria (5.67%), and Tenericutes (2.17%), and the most abundant genera included Prevotella (40.15%), Butyrivibrio (2.38%), Ruminococcus (2.35%), Coprococcus (2.29%), and Succiniclasticum (2.28%). The bacterial microbiota between the first and second lactation cycles were highly similar, but with a significant correlation between total community composition by ruminal phase and specific bacteria whose relative sequence abundances displayed significant positive or negative correlation with GFE or RFI. These data suggest that the ruminal bacterial community is dynamic in terms of membership and diversity and that specific members are associated with high and low milk production efficiency over two lactation cycles.R uminants, such as cattle, rely upon a rich and diverse community of symbiotic ruminal microbes to digest their feed. These symbionts are capable of fermenting host-indigestible feed into nutrient sources usable by the host, such as volatile fatty acids (1, 2). Ruminants are born without a functional rumen and are thought to acquire their digestive microbes from the environment as the rumen develops (3-6). Although the means by which ruminants acquire this ruminal microbial community remains unclear, the membership and stability of the ruminal community can have a direct and measurable impact on host function and health (7). Importantly, the host requires ruminal fermentation products for body maintenance and growth (8) and milk production (9).Of particular interest, both scientifically and agriculturally, is the impact of the ruminal microbial community on host milk production efficiency in dairy cattle. Two major methods are widely used to calculate milk production efficiency: gross feed efficiency (GFE) and residual feed intake (RFI). GFE is a more traditional measure that is based on the yield of milk produced (corrected to a constant-energy basis) per unit of intake of dietary dry matter (DM) (10). RFI was first applied to weight gain in steers but has more recently been adapted for use in dairy production (11); it is defined as the difference in feed consumption relative to that of other animals on the...

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“…Previous studies of the rumen microbiome from steers found that changes in the abundances of microbial population were associated with feed efficiency group 3,4,18 . However, in vivo microbial communities composition associated with changes in biohydrogenation have had low correlation 19,20 and limited explanation of it association 21 .…”

Section: Discussionmentioning

confidence: 95%

1605 Rumen fluid metabolomics analysis associated with feed efficiency on crossbred steers

Artegoitia¹,

Foote²,

Lewis³

et al. 2016

Journal of Animal Science

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The rumen has a central role in the efficiency of digestion in ruminants. To identify potential differences in rumen function that lead to differences in average daily gain (ADG), rumen fluid metabolomic analysis by LC-MS and multivariate/univariate statistical analysis were used to identify differences in rumen metabolites. Individual feed intake and body-weight was measured on 144 steers during 105 d on a high concentrate ration. Eight steers with the greatest ADG and 8 steers with the least-ADG with dry matter intake near the population average were selected. Blood and rumen fluid was collected from the 16 steers 26 d before slaughter and at slaughter, respectively. As a result of the metabolomics analysis of rumen fluid, 33 metabolites differed between the ADG groups based on t-test, fold changes and partial least square discriminant analysis. These metabolites were primarily involved in linoleic and alpha-linolenic metabolism (impact-value 1.0 and 0.75, respectively; P < 0.05); both pathways were down-regulated in the greatest-ADG compared with least-ADG group. Ruminal biohydrogenation might be associated with the overall animal production. The fatty acids were quantified in rumen and plasma using targeted MS to validate and evaluate the simple combination of metabolites that effectively predict ADG.Improving production efficiency of cattle by increasing meat produced per amount of feed offered would result in economic and environmental benefits 1 . However, the physiological mechanisms and the shifts in the metabolic pathways that result in increased efficiency are not fully elucidated. Digestion and nutrient absorption are considered important sources of variation in cattle growth efficiency 2 . Changes in ruminal microbial communities have been associated with differences in feed efficiency of beef cattle 3, 4 . Hence, differences in feed efficiency might be related to changes in the metabolism in the cattle rumen.Metabolomics, has been a useful approach to characterize the metabolism of rumen fluid in dairy cows 5-8 . For instance, phenotype differences on residual feed intake were associated with specific ruminal microbes and targeted metabolic pathway in dairy cows 8 . By definition when feed efficiency is defined as residual feed intake there is a difference in feed intake between the groups. The differences in feed intake can greatly influence the microbial communities. We have chosen an alternative model that classifies steers based on divergent body weight gain at similar feed intakes in order to avoid changes associated with feed intake. We hypothesized that cattle that differed in ADG had differences in rumen metabolism. Therefore, untargeted metabolomics profile based on UPLC-quadrupole time of flight tandem mass spectrometry (qTOF-MS/MS) coupled to univariate and multivariate analysis was used to identify rumen metabolites that differed with feed efficiency and determine biomarkers in rumen fluid and plasma for ADG. ResultsCharacteristics of steers in the two groups. The DMI did not differ bet...

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Potential Role of the Bovine Rumen Microbiome in Modulating Milk Composition and Feed Efficiency

Cited by 460 publications

References 27 publications

Rumen prokaryotic communities of ruminants under different feeding paradigms on the Qinghai-Tibetan Plateau

Rumen prokaryotic communities of ruminants under different feeding paradigms on the Qinghai-Tibetan Plateau

Ruminal Bacterial Community Composition in Dairy Cows Is Dynamic over the Course of Two Lactations and Correlates with Feed Efficiency

1605 Rumen fluid metabolomics analysis associated with feed efficiency on crossbred steers

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