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Review: Ruminal microbiome and microbial metabolome: effects of diet and ruminant host

Published online by Cambridge University Press:  06 February 2020

C. J. Newbold  and
E. Ramos-Morales Open the ORCID record for E. Ramos-Morales [Opens in a new window]
C. J. Newbold
Affiliation:
Gut Microbiology Lab, Scotland’s Rural College (SRUC), West Mains Road, EdinburghEH9 3JG, UK
E. Ramos-Morales*
Affiliation:
Gut Microbiology Lab, Scotland’s Rural College (SRUC), West Mains Road, EdinburghEH9 3JG, UK
*
†E-mail: [email protected]

Abstract

The rumen contains a great diversity of prokaryotic and eukaryotic microorganisms that allow the ruminant to utilize ligno-cellulose material and to convert non-protein nitrogen into microbial protein to obtain energy and amino acids. However, rumen fermentation also has potential deleterious consequences associated with the emissions of greenhouse gases, excessive nitrogen excreted in manure and may also adversely influence the nutritional value of ruminant products. While several strategies for optimizing the energy and nitrogen use by ruminants have been suggested, a better understanding of the key microorganisms involved and their activities is essential to manipulate rumen processes successfully. Diet is the most obvious factor influencing the rumen microbiome and fermentation. Among dietary interventions, the ban of antimicrobial growth promoters in animal production systems has led to an increasing interest in the use of plant extracts to manipulate the rumen. Plant extracts (e.g. saponins, polyphenol compounds, essential oils) have shown potential to decrease methane emissions and improve the efficiency of nitrogen utilization; however, there are limitations such as inconsistency, transient and adverse effects for their use as feed additives for ruminants. It has been proved that the host animal may also influence the rumen microbial population both as a heritable trait and through the effect of early-life nutrition on microbial population structure and function in adult ruminants. Recent developments have allowed phylogenetic information to be upscaled to metabolic information; however, research effort on cultivation of microorganisms for an in-depth study and characterization is needed. The introduction and integration of metagenomic, transcriptomic, proteomic and metabolomic techniques is offering the greatest potential of reaching a truly systems-level understanding of the rumen; studies have been focused on the prokaryotic population and a broader approach needs to be considered.

Keywords

dietfermentationgeneticsrumenruminant
Type
Review Article
Information
animal , Volume 14 , Issue S1: XIIIth International Symposium on Ruminant Physiology (ISRP 2019), 3-6 September 2019, Leipzig, Germany , March 2020 , pp. s78 - s86
Copyright
© The Animal Consortium 2020

Implications

The microbial community in the rumen is one of the most diverse gut ecosystems yet described in the animal kingdom. An increased understanding of this complex microbiome, the dietary factors that affect it, the influence of the host on the rumen microbiome and the effect of rumen fermentation on the host should allow us to develop approaches that maximize the conversion of fibrous feedstuffs produced on land not suitable for primary cropping into human-edible food while minimizing the environmental consequences of ruminant agriculture.

Introduction

The anatomically distinct forestomaches of the rumen, reticulum and omasum sit before the true stomach (abomasum) in the digestive tract of ruminants. The presence of a symbiotic microbial population in the rumen and reticulum (hereafter referred to as the rumen) allows ruminants to utilize ligno-cellulose material and to convert non-protein nitrogen into microbial protein. Because of this, ruminants, when used to transform fibrous feedstuffs produced on land not suitable for primary cropping, can be net contributors to the global supply of human-edible food and make a major contribution to the sustainability of the global food system (Schader et al., Reference Schader, Muller, Scialabba, Hecht, Isensee, Erb, Smith, Makkar, Klocke, Leiber, Schwegler, Stolze and Niggli2015). However, while microbial fermentation in the rumen plays a central role in the ability of ruminants to utilize fibrous substrates, rumen fermentation also has potential deleterious consequences in particular associated with the emissions of greenhouse gases, excessive nitrogen excreted in manure and may also adversely influence the nutritional value of ruminant products (Scollan et al., Reference Scollan, Hocquette, Richardson, Kim, Wood and Rowlings2011). Given the wide range of consequences of rumen fermentation on the nutrition and metabolism of ruminants, it is perhaps not surprising that significant research effort has been exerted both to understand the microbial population in the rumen and ultimately to manipulate it to maximize productivity while decreasing the environmental load of ruminant agriculture.

Rumen fermentation

As noted above, the ability of ruminants to utilize cellulolytic and hemicellulolytic feedstuff distinguishes them from monogastric farm animals. Degradation of plant material in the rumen requires colonization of ingested plant material by a complex microbial consortium and occurs in a time-dependent manner that is influenced by the nature of the substrate ingested (Elliott et al., Reference Elliott, Edwards, Wilkinson, Allison, McCaffrey, Scott, Rees-Stevens, Kingston-Smith and Huws2018). The resulting consortia functions synergistically to degrade the substrate, with cross feeding between microbes such that the rate and extent of degradation is greater than that could be accomplished by a microbial monoculture (Krause et al., Reference Krause, Nagaraja, Wright and Callaway2013). The anaerobic nature of the rumen dictates that degradation of substrates is incomplete and the end products of fermentation are volatile fatty acids (VFAs; predominantly acetate, propionate and butyrate), in addition to CO2. On occasions, and depending on substrate, intermediate products of fermentation such as lactic acid may also accumulate.

During rumen fermentation, the NAD+ reduced to NADH must be reoxidized to allow fermentation to continue. In the anaerobic conditions of the rumen, NAD+ must be regenerated by electron transfer to acceptors other than oxygen and the major sink is the reduction of CO2 to CH4 (other sinks include sulphate, nitrate and fumarate; Morgavi et al., Reference Morgavi, Forano, Martin and Newbold2010). It has been suggested that the inhibition of methane production without the provision of alternative pathways for the disposal of hydrogen would disrupt rumen function (Morgavi et al., Reference Morgavi, Forano, Martin and Newbold2010). However, some studies have suggested that in sheep, goats and cattle, methane production can be significantly decreased with little effect on rumen fibre degradation and diet digestibility (Martinez-Fernandez et al., Reference Martinez-Fernandez, Denman, Yang, Cheung, Mitsumori and McSweeney2016). Clearly, as noted by Ungerfeld (Reference Ungerfeld2015), there is a need to more fully understand the effect of different hydrogen sinks on both methane production and rumen function.

Dietary protein entering the rumen is broken down rapidly via peptides and amino acids, resulting in ammonia formation and subsequent loss of N from the animal (Walker et al., Reference Walker, Newbold, Wallace, Pfeffer and Hristov2005). The resultant low efficiency of nitrogen retention represents a financial loss (as more dietary protein must be fed), and in extreme cases excess rumen ammonia concentrations can lead to metabolic stress in the animal, while excess N excretion in manure can cause environmental damage (Walker et al., Reference Walker, Newbold, Wallace, Pfeffer and Hristov2005).

The rumen microbiome

The microbial community in the rumen is one of the most diverse gut ecosystems yet described in the animal kingdom (Weimer, Reference Weimer2015), composed of not only bacteria (1010 to 1011 organisms/ml) but also archaea (108 to 109 organisms/ml), protozoa (105 to 106 organisms/ml), fungi (103 to 104 organisms/ml) and an as yet largely uncharacterized virome.

Bacteria

Traditionally, microbiologists relied on culture-based methods, largely based on the original work by Hungate and colleagues (Krause et al., Reference Krause, Nagaraja, Wright and Callaway2013) to isolate members of the rumen bacterial community. It was thought that these cultivation techniques had enabled researchers to describe the circa 200 most abundant and diverse bacteria in the rumen ecosystem. Indeed, the results obtained from amplicon sequencing of the 16s rRNA gene via next generation sequencing have largely agreed with this at phylum level and have allowed studies to be discussed based on the known activity of cultured bacteria (Wilkinson et al., Reference Wilkinson, Huws, Edwards, Kingston-Smith, Sui-Ting, Hughes, Rubino, Friedersdorff and Creevey2018).

However, Stewart et al. (Reference Stewart, Auffret, Warr, Wiser, Press, Langford, Liachko, Snelling, Dewhurst, Walker, Roehe and Watson2018) described 913 novel microbial genomes assembled from metagenomic sequencing of the rumen of 42 cattle, and the same authors have recently extended this work assembling over 4900 novel microbial genomes from the rumen of 282 cattle (Stewart et al., Reference Stewart, Auffret, Warr, Walker, Roehe and Watson2019). As a result, several initiatives are underway to improve our ability to culture rumen microorganisms. A collaborative activity between a wide range of research organizations, the Hungate 1000 project, has produced 501 genomes (480 bacteria and 21 archaea) from rumen microbes (Seshadri et al., Reference Seshadri, Leahy, Attwood, The, Lambie, Cookson, Eloe-Fadrosh, Pavlopoulos, Hadjithomas, Varghese, Paez-Espino, Perry, Henderson, Creevey, Terrapon, Lapebie, Drula, Lombard, Rubin, Kyrpides, Henrissat, Woyke, Ivanova and Kelly2018) with access to bacterial cultures available via the project website (http://www.rmgnetwork.org/hungate1000.html). The collection encompasses 75% of genus-level taxa reported from the rumen and has allowed the assignment of individual microbes to the major metabolic pathways involved in rumen function (Wilkinson et al., Reference Wilkinson, Huws, Edwards, Kingston-Smith, Sui-Ting, Hughes, Rubino, Friedersdorff and Creevey2018). However, according to Stewart et al. (Reference Stewart, Auffret, Warr, Walker, Roehe and Watson2019), the Hungate collection represents only a fraction of the diversity present in their novel microbial genomes assembled from metagenomic sequencing. Clearly, it is vital that more of these strains are brought into culture, so we can study their function in vitro and in vivo, and gain mechanistic insight into the structure and function of the rumen microbiome.

Protozoa

With their striking appearance, rumen protozoa are assumed to be important for the welfare of their host. However, even though protozoa can contribute up to 50% of the biomass in the rumen, the role of protozoa in the rumen microbial ecosystem remains unclear (Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015). Most protozoa in the rumen are ciliates, with a few flagellate species; ruminants commonly harbour distinct protozoal populations from birth and typically, this does not change through life (Williams and Coleman, Reference Williams and Coleman1992). Protozoal identification and taxonomy have usually relied on morphologic identification by optical microscopy (Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015). Recently, sequencing of 18S rRNA genes has help to both clarify the phylogeny of the rumen ciliates and reveal an apparent higher diversity of ciliates than estimated by conventional morphological methods (Moon-van der Staay et al., Reference Moon-van der Staay, van der Staay, Michalowski, Jouany, Pristas, Javorský, Kišidayová, Varadyova, McEwan, Newbold, van Alen, de Graaf, Schmid, Huynen and Hackstein2014; Kittelmann et al., Reference Kittelmann, Devente, Kirk, Seedorf, Dehority and Janssen2015). However, it has been suggested that copy number variation in ribosomal RNA genes across the different genera may have limited the use of 18S rRNA amplicon sequencing in ecological studies (Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015).

Despite repeated attempts, it has proven impossible to maintain rumen protozoa in axenic culture (Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015). Thus, most studies have concentrated on describing the activity of mixed bacterial and protozoal co-cultures, maintained either in in vitro or in in vivo (Williams and Coleman, Reference Williams and Coleman1992). Thus, while much progress has been made in describing the role of protozoa in the rumen (Williams and Coleman, Reference Williams and Coleman1992), it has been difficult to establish conclusively that activity is due to protozoa as opposed to associated bacteria. Techniques to clone and express ciliate genes in phages have allowed genes from a range of rumen protozoa to be characterized (McEwan et al., Reference McEwan, Eschenlauer, Calza, Wallace and Newbold1999; Newbold et al., Reference Newbold, McEwan, Calza, Chareyron, Duval, Eschenlauer, Farquharson, Nelson, Travis and Wallace2005; Belzecki et al., Reference Belzecki, Newbold, McEwan, McIntosh and Michalowski2007). As a result, a wide range of fibrolytic enzymes have been identified suggesting a highly evolved fibrolytic capacity in the rumen ciliates (Devillard et al., Reference Devillard, Newbold, Scott, Forano, Wallace, Jouany and Flint1999 and Reference Devillard, Bera-Maillet, Flint, Scott, Newbold, Wallace, Jouany and Forano2003; Takenaka et al., Reference Takenaka, Tajima, Mitsumori and Kajikawa2004; Wereszka et al., Reference Wereszka, McIntosh, Michalowski, Jouany, Nsabimana, Mache-boeuf, McEwan and Newbold2004; Bera-Maillet et al., Reference Bera-Maillet, Devillard, Cezette, Jouany and Forano2005). Recently, a draft macronuclear genome sequence from the rumen ciliate Entodinium caudatum has been released, promising a greater understanding of protozoal metabolism in the rumen (Park et al., Reference Park, Wijeratne, Meulia, Firkins and Yu2018).

Protozoa can be removed from the rumen through a process known as defaunation, and the animal will still survive (Williams and Coleman, Reference Williams and Coleman1992; Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015). A recent meta-analysis suggested that the absence of protozoa caused a decrease in organic matter degradation, suggesting an important functional role in the rumen (Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015). Furthermore, defaunation increased microbial protein outflow from the rumen and decreased methane production. These observations are consistent with the evidence that ciliates survive by digesting rumen bacteria, thus playing an important role in the inefficient use of dietary protein by ruminants and that protozoa are indirectly involved in methane production, as they harbour an active population of methanogenic archaea both on their external and internal surfaces (Morgavi et al., Reference Morgavi, Forano, Martin and Newbold2010). A recent meta-analysis exploring time-dependent effects of removing protozoa (Li et al., Reference Li, Deng, Liu, Yan, Li, Cao and Yao2018) concluded that subsequent increases in methanogens, fungi and cellulolytic bacteria counteracted defaunation-induced effects on rumen fermentation, suggesting that defaunation might not always lead to lower levels of methane production. Protozoa also seem to stabilize rumen fermentation increasing rumen pH (Williams and Coleman, Reference Williams and Coleman1992), possibly because protozoa consume lactate more rapidly than bacteria (Newbold et al., Reference Newbold, Chamberlain and Williams1986). While clearly more long-term studies on the effects of defaunation on rumen microbiota and fermentation are needed, defaunation may not be an appropriate model to study the role of protozoa in the rumen.

Fungi

There is some debate about the contribution of the anaerobic fungi to the microbial biomass in the rumen. While the flagellated zoospores are clearly visible in rumen fluid, the vegetative growth of the rhizoids on and in plant material is less obvious. Chitin measurements and rRNA transcript abundance (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018) indicate that anaerobic fungi represent 10% to 20% of the rumen microbiome and they are thought to be crucial fibre degraders, especially when forages with poor quality are fed to ruminants (Krause et al., Reference Krause, Nagaraja, Wright and Callaway2013). Like the protozoal population, the close association of rumen fungi with methanogenic archaea (Edwards et al., Reference Edwards, Forster, Callaghan, Dollhofer, Dagar, Cheng, Chang, Kittelmann, Fliegerova, Puniya and Henske2017) is thought to both enhance fungal activity and contribute to methane production. The taxonomy of the rumen fungi remains a subject of considerable debate; six genera are commonly recognized: the monocentric Neocallimastix, Caecomyces and Piromyces and the polycentric Anaeromyces, Orpinomyces and Cyllamyces. However, further genera are likely to exist and continue to be described (Edwards et al., Reference Edwards, Forster, Callaghan, Dollhofer, Dagar, Cheng, Chang, Kittelmann, Fliegerova, Puniya and Henske2017). As with other areas, the use of molecular techniques, including the use of internal transcribed spacer 1 region and large subunit rRNA as taxonomic marker, and several genomes and transcriptomes have been reported from rumen fungi (Edwards et al., Reference Edwards, Forster, Callaghan, Dollhofer, Dagar, Cheng, Chang, Kittelmann, Fliegerova, Puniya and Henske2017).

Archaea

Archaea make up 0.3% to 3% of the rumen microbiome (Janssen and Kirs, Reference Janssen and Kirs2008) with most, although possibly not all being methanogenic. In most studies reported to date, the most abundant methanogens are Methanobrevibacter. Methanobrevibacter are hydrogenotrophic producing methane from H2, CO2 and formate produced by the protozoa, bacteria and fungi (Janssen and Kirs, Reference Janssen and Kirs2008). Other significant hydrogenotrophic genera include Methanosphaera, Methanimicrococcus and Methanobacterium (Morgavi et al., Reference Morgavi, Forano, Martin and Newbold2010). Less abundant are methylotrophs (Methanosarcinales, Methanosphaera, Methanomassiliicoccaceae), producing methane from methylamines, and methanol and aceticlastic archaea (Methanosarcinales), producing methane from acetate (Morgavi et al., Reference Morgavi, Forano, Martin and Newbold2010). The diversity of archaea is less than that of the bacterial population but, as with bacteria, they are subject to significant effort to isolate and characterize new species, with 21 archaea from rumen recently becoming available via the Hungate 1000 (Seshadri et al., Reference Seshadri, Leahy, Attwood, The, Lambie, Cookson, Eloe-Fadrosh, Pavlopoulos, Hadjithomas, Varghese, Paez-Espino, Perry, Henderson, Creevey, Terrapon, Lapebie, Drula, Lombard, Rubin, Kyrpides, Henrissat, Woyke, Ivanova and Kelly2018).

What remains unclear is the relationship between archaeal numbers and methane production. Wallace et al. (Reference Wallace, Rooke, Duthie, Hyslop, Ross, McKain, Motta de Souza, Snelling, Waterhouse and Roehe2014) suggested a direct correlation between archaeal abundance and methane production, while Danielsson et al. (Reference Danielsson, Dicksved, Sun, Gonda, Müller, Schnürer and Bertilsson2017) found that rumen methane production correlated with both rumen methanogenic and bacterial community structure. Most likely, rumen methanogenesis is a product of both rumen fermentation, and thus H2 supply, and archaeal numbers (Belanche et al., Reference Belanche, de la Fuente and Newbold2015). As noted above, protozoa harbour an active archaeal population on both their inner and outer surfaces. It is apparent that this archaeal population differs from the free-living population (Tymensen et al., Reference Tymensen, Beauchemin and McAllister2012) and may indeed vary between protozoal genera (Belanche et al., Reference Belanche, de la Fuente and Newbold2014), with important consequences in terms of the relative role of different protozoal genera in overall methane production (Belanche et al., Reference Belanche, de la Fuente and Newbold2015).

Virome

The rumen virome remains by far the poorest characterized part of the rumen microbiome. Lytic phages have been isolated from the rumen and studies on their diversity have been reported (Gilbert and Klieve, Reference Gilbert, Klieve, Puniya, Singh and Kamra2015), including evidence to suggest that energy intake may be a major driver of the rumen virome (Anderson et al., Reference Anderson, Sullivan and Fernando2017). However, only recently has genome sequence of lytic phages been reported (Gilbert et al., Reference Gilbert, Kelly, Altermann, Leahy, Minchin, Ouwerkerk and Klieve2017), and metagenomic studies on the rumen virome are starting to appear (Namonyo et al., Reference Namonyo, Wagacha, Maina, Wambua and Agaba2018), suggesting that we may soon have a greater understanding of viral-mediated processes in the rumen. Evidence of the presence of RNA-based viruses that infect fungi (mycoviruses) has been recently published (Hitch et al., Reference Hitch, Edwards and Gilbert2019); however, their impact on rumen fungal populations and fibre degradation need to be further investigated.

Factors that influence the rumen microbiome

Diet

A recent global comparison study of the rumen microbiome in 742 samples from 32 animal species in 35 countries concluded that, while a common core of bacteria and archaea dominated in nearly all samples, differences in microbial community compositions were predominantly attributable to diet (Henderson et al., Reference Henderson, Cox, Ganesh, Jonker, Young and Janssen2015). Among dietary interventions, we can distinguish between those aimed at improving forage quality and changing the proportion of the diet, and those aimed at using feed additives to supplement the diet.

Molecular techniques based on either amplicon sequencing of ribosomal genes or whole metagenome sequencing (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018) are increasingly allowing us to explore both the temporal and spatial development of microbial populations within the rumen that are related to the colonization and degradation of dietary fibre entering the rumen (Elliott et al., Reference Elliott, Edwards, Wilkinson, Allison, McCaffrey, Scott, Rees-Stevens, Kingston-Smith and Huws2018). We have shown that shifts in the carbohydrate and protein content of diets consumed (Belanche et al., Reference Belanche, Doreau, Edwards, Moorby, Pinloche and Newbold2012) and less obvious changes, such as the method of forage preservation and type of forage (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018), affect feed colonization by rumen microbes and subsequent digestion. However, there is a need to ensure both that studies consider the whole microbiome and not just the bacteriome and that changes in the composition of the microbiome are linked to changes in fermentation and host metabolism.

Nutritional strategies can affect the interactions between microbial groups and their effect on production and product quality. Perhaps the area that best illustrates this point is the quality of ruminant-derived products in terms of fatty acid profile. Fatty acid supplementation can affect microbial structure and fatty acid biohydrogenation in the rumen and thus influence the fatty acids available for absorption and appearance in meat and milk, with the effects apparently influenced by the source of rumen fluid, sheep v. cattle (Carreño et al., Reference Carreño, Toral, Pinloche, Belenguer, Yáñez-Ruiz, Hervás, McEwan, Newbold and Frutos2019). It is known that bacteria are largely responsible for the biohydrogenation of fatty acids in the rumen while protozoa are not thought to be actively involved in biohydrogenation (Lourenço et al., Reference Lourenço, Ramos-Morales and Wallace2010). However, protozoa do affect the composition of the bacterial population in the rumen and thus potentially biohydrogenation (Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015). In addition, protozoa directly incorporate unsaturated fatty acids protecting them in the rumen from biohydrogenation and allowing direct transfer into milk and meat (Lourenço et al., Reference Lourenço, Ramos-Morales and Wallace2010) illustrating some of the differing levels at which microbial interactions might affect product quality.

Given the effect of diet on the rumen microbiome, it is perhaps not surprising that a wide range of dietary additives have been used to manipulate rumen fermentation (Figure 1). The main targets for rumen manipulation can be summarized as:

  • Increased microbial degradation of fibre: increasing the yield of VFAs that can be absorbed by the host and increasing intake in forage fed animals.

  • Decreased protein degradation and ammonia production in the rumen: reducing the financial and environmental cost of inefficient dietary protein utilization in ruminants.

  • Optimizing VFAs production: ensuring that the pattern of VFAs production matches the production requirements of the host.

  • Improved animal health: preventing the accumulation of harmful intermediates of fermentation in the rumen and maximizing the degradation of dietary toxins.

  • Decreased greenhouse gas production: decreasing the production of greenhouse gases from ruminant agriculture has been and remains a major challenge to the ruminant sector.

  • Improved human health: improving the nutritional composition of ruminant products, predominantly lipid and fatty acid content/composition and preventing pathogen transfer in the food supply chain.

Figure 1 Potential effects of dietary additives on the rumen microbiome and fermentation and limitations of their use in animal feeding. MCFA=medium chain fatty acids; PUFA=polyunsaturated fatty acids; VFA=volatile fatty acids.

Newbold (Reference Newbold and Webster2017) summarized the potential benefits and limitations of a range of dietary additives. However, in response to the EU legislation to the ban of antimicrobial growth promoters in animal production systems, we have become increasingly interested in the use of plant extracts to manipulate rumen fermentation, boost animal production and decrease greenhouse gas emissions.

Saponins have shown potential as antiprotozoal agents to ultimately increase microbial supply to the host and decrease methane production (Newbold et al., Reference Newbold, de la Fuente, Belanche, Ramos-Morales and McEwan2015). This effect has been reported to be transitory due to the deglycosylation of saponins to sapogenins by rumen bacteria (Wallace et al., Reference Wallace, McEwan, McIntosh, Teferedegne and Newbold2002). We have recently shown that the antiprotozoal effect of derivatives from hederoside B, the major saponin in ivy fruit, differed depending on the composition and linkage of the substituent to the sapogenin (Ramos-Morales et al., Reference Ramos-Morales, De la Fuente, Duval, Wehrli, Bouillon, Lahmann, Preskett, Braganca and Newbold2017). Furthermore, our most recent results show that antiprotozoal activity is not an inherent feature of all saponins and that small variations in the structure of a compound can have a significant influence on their biological activity (Ramos-Morales et al., Reference Ramos-Morales, Lyons, de la Fuente, Braganca and Newbold2019a).

Polyphenolic compounds such as tannins and flavonoids have also been shown to reduce methane production in the rumen. We have recently shown that an isoflavonoid-rich extract from liquorice decreased ammonia production and methane, effects that were attributed to decreases in protozoa numbers and bacteria diversity, as well as changes in the structure of bacteria and archaea (Ramos-Morales et al., Reference Ramos-Morales, Rossi, Cattin, Jones, Braganca and Newbold2018). When nine compounds were synthetized from the natural alkaloid haemanthamine and tested in vitro for their effects on rumen protozoa and fermentation parameters, results showed that simple esterifications of haemanthamine or its derivative dihydrohaemanthamine with acetate, butyrate, pivalate or hexanoate led to compounds that differed in their effects on rumen fermentation (Ramos-Morales et al., Reference Ramos-Morales, Tibble-Howlings, Lyons, Ogbu, Murphy, Braganca and Newbold2019b). It is clear then that understanding the degree to which structural features in a compound may affect the biological activity of a plant extract is essential. The effect of plant extracts on rumen fermentation has been reported to be highly variable (Newbold, Reference Newbold and Webster2017) but given that growth stage, harvest and storage conditions can all alter the structure of bioactive molecules in plants, it is questionable if studies are comparing like with like.

Host effects

Experiments involving near total exchange of the rumen contents between animals have shown that the individual animal has strong effect on the re-establishment of the rumen microbial community (Weimer, Reference Weimer2015; Zhou et al., Reference Zhou, Peng, Chen, Klinger, Oba and Liu2018), suggesting that the host animal has a strong effect on the rumen microbial population.

Evidence that the host might influence the rumen microbial population is mounting (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018). Sasson et al. (Reference Sasson, Ben-Shabat, Seroussi, Doron-Faigenboim, Shterzer, Yaacoby, Miller, White, Halperin and Mizrahi2017) suggested that several bacterial operational taxonomic units were highly heritable in dairy cattle. Roehe et al. (Reference Roehe, Dewhurst, Duthie, Rooke, McKain, Ross, Hyslop, Waterhouse, Freeman, Watson and Wallace2016) ranked beef cattle based on relative archaeal abundance and reported this remained consistent, suggesting that archaeal abundance in ruminal digesta is under host genetic control. However, Difford et al. (Reference Difford, Plichta, Løvendahl, Lassen, Noel, Højberg, Wright, Zhu, Kristensen, Nielsen and Guldbrandtsen2018) suggested that while the abundance of some bacteria and archaea taxa were influenced by the host’s genotype, host genetics influencing the rumen microbiome and methane production were largely independent. The mechanisms by which the host might control the rumen microbial population remain unknown, but factors such as modifying the gene expression of the rumen epithelium and possible variation in rumen outflow or volume have been suggested (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018).

With evidence of the apparent heritability of host effects on the rumen microbiome, there has been an explosion in studies relating the rumen microbial population to animal phenotype and production effects (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018). Such studies have considered both microbial abundance and gene abundance and/or expression (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018). However, the extent to which such relationships are causal rather than casual remains undetermined.

Early life

In addition to heritable host factors, we have also investigated the possible role of early-life factors on the establishment of the rumen microbiome in adult animals. The rumen microbial population establishes in a defined and progressive sequence (Yáñez-Ruiz et al., Reference Yáñez-Ruiz, Abecia and Newbold2015). Bacteria and archaea have been reported as being present in the underdeveloped rumen of lambs prior to the ingestion of solid feed, with counts like those recorded in adult animals seen around 10 days after birth (Yáñez-Ruiz et al., Reference Yáñez-Ruiz, Abecia and Newbold2015). The rumen eukaryotes seem to establish later with anaerobic fungi appearing by day 8 to 10 (Fonty et al., Reference Fonty, Gouet, Jouany and Senaud1987), while under farm conditions ciliate protozoa appeared by 15 days of age in sheep and 29 to 46 days in cattle (Naga et al., Reference Naga, Akkada and El-Shazly1969; Fonty et al., Reference Fonty, Senaud, Jouany and Gouet1988). In both sheep and cattle, small protozoa established first, and Holotrich protozoa last, with mixed population of ciliate protozoa typical of the adult animals apparent by 80 to 150 days of age in cattle (Naga et al., Reference Naga, Akkada and El-Shazly1969). In non-ruminant species, it is accepted that the coexistence of the host and microbial gut communities is immunologically driven (Yáñez-Ruiz et al., Reference Yáñez-Ruiz, Abecia and Newbold2015). In general, the immune response in the mucosal areas of the gut is orchestrated by mucosal-associated lymphoid tissue and gut-associated lymphoid tissue in the gut. However, in the rumen no organized lymphoid tissue exists in the epithelium, and it has been suggested that saliva seems to be the main vehicle of introducing immunoglobulins into the rumen (Yáñez-Ruiz et al., Reference Yáñez-Ruiz, Abecia and Newbold2015).

Weaning conditions have a major effect on colonization of the rumen, with the presence of the dam promoting inoculation of microbes in the digestive tract of the naturally raised newborns as compared to those fed milk replacers and kept isolated from adult animals (Abecia et al., Reference Abecia, Jiménez, Martínez-Fernandez, Martín-García, Ramos-Morales, Pinloche, Denman, Newbold and Yáñez-Ruiz2017). Another distinctive feature between natural and artificial systems is the near absence of protozoa in the rumen of artificially reared animals, as protozoa can only be inoculated in the rumen by direct contact with adult animals through saliva (Williams and Coleman, Reference Williams and Coleman1992). Inoculation of lambs after birth with rumen fluid from adult sheep improved rumen fermentation parameters and increased protozoal numbers (De Barbieri et al., Reference De Barbieri, Hegarty, Silveira, Gulino, Oddy, Gilbert, Klieve and Ouwerkerk2015). Similarly, lambs kept in isolation from birth had positive changes in rumen fermentation following inoculation with rumen fluid from adult sheep when the rumen was functional at 15 weeks of life (Morgavi et al., Reference Morgavi, Rathahao-Paris, Popova, Boccard, Nielsen and Boudra2015). Recently, we investigated how maternal v. artificial rearing shapes the rumen microbiota in lambs (Belanche A., unpublished data). Differences in the rumen bacterial and methanogens communities disappear later in life when all lambs were grouped on the same pasture up to 23 weeks of age. However, lambs naturally reared on the ewe retained several long-lasting microbiological features in the eukaryotic community such as higher fungal diversity and differences in the protozoal population as well as higher feed digestibility during the grazing period.

Yáñez-Ruiz et al. (Reference Yáñez-Ruiz, Macías, Pinloche and Newbold2010) found that feeding a hay concentrate diet compared to hay alone to lambs led to a difference in both the bacterial and archaeal population at weaning and that the effect persisted over 4 months after the end of the treatment. Abecia et al. (Reference Abecia, Waddams, Martinez-Fernandez, Martin-Garcia, Ramos-Morales, Newbold and Yáñez-Ruiz2014) reported that dosing kids and their does with bromochloromethane during the weaning period modified the archaeal community and, although not all the effects persisted after weaning, some less abundant archaeal groups remained different in treated and control groups 4 months after the treatment stopped. We have recently found that in dairy cattle, yeast fed from day 0 to 60 influenced the evenness and the diversity of the rumen bacterial but not archaeal population at weaning (Newbold C.J., unpublished data). Proteobacteria numbers were also lower in yeast fed animals at weaning but the treatment had no effect on the archaeal population. These effects seemed to persist over the length of the trial (32 months) with a more complex population developing in yeast-supplemented animals (Newbold C.J., unpublished data, Figure 2), while proteobacteria numbers remained lower in yeast-supplemented animals. However, the effects were small, and no effects were observed on rumen fermentation parameters, blood chemistry, weight gain or the eventual milk production of the cattle.

Figure 2 Effect of the addition of live yeast to the diet of cattle from birth to 60 days after birth (weaning) on bacterial diversity ((a) richness and (b) Simpson index) in the rumen at 60 days and 8, 15, 20 and 32 months after birth. Black and grey bars represent the control and yeast treatment, respectively.

These findings suggest that the early-life intervention determines initial microbial community and thus fermentation parameters, but the persistency of these effects later in life is weak suggesting that post-weaning factors have a greater influence on adult communities and production outcomes.

The rumen metabolome

With the increasing ability to describe the rumen microbiome through both amplicon sequencing of ribosomal genes and metagenomic sequencing, there has been a growing interest in linking changes in the rumen microbiome to changes in the fermentation and metabolites in the rumen. We, and many other authors, have used coordination plots to link changes in the rumen microbiome to changes in common rumen metabolites (Belanche et al., Reference Belanche, Kingston-Smith and Newbold2016). We have provided correlations between the abundance of microbial phyla and genera and specific rumen metabolites (Belanche et al., Reference Belanche, Kingston-Smith, Griffith and Newbold2019), in an attempt to provide a functional context to changes in the rumen microbial population; however, in general, these approaches have been limited to a small range of well-defined rumen metabolites. Metabolomic techniques to describe a potentially wider range of metabolites have been used to study the link between gut microbiomes and the metabolome in several gut ecosystems (Dougal et al., Reference Dougal, Harris, Edwards, Pachebat, Blackmore, Worgan and Newbold2012; Yan et al., Reference Yan, Zhu, Yu, Huang, Huang, Kong, Shi, Chen, Liu, Wang, Jiang and Chen2017). In rumen-based studies, metabolomics has been used to investigate the effect of diet (O’Callaghan et al., Reference O’Callaghan, Vázquez-Fresno, Serra-Cayuela, Dong, Mandal, Hennessy, McAuliffe, Dillon, Wishart, Stanton and Ross2018; Yang et al., Reference Yang, Dong, Wang, Wang, Zhang and Liu2018) to link the host genotype to efficient phenotypes in growing cattle (Artegoitia et al., Reference Artegoitia, Foote, Lewis and Freetly2017); the main aim has been to help to elucidate the effects of early-life nutritional interventions on rumen function (Abecia et al., Reference Abecia, Martínez-Fernandez, Waddams, Martín-García, Pinloche, Creevey, Denman, Newbold and Yáñez-Ruiz2018) and to understand the effect of plant extracts on rumen function (Wang et al., Reference Wang, Ma, Diao and Tu2019). While metabolomics provides a route to achieving a link between taxonomic-based studies and metabolic function, the current techniques are difficult to compare between studies with both extraction technique (Ribeiro de Almeida et al., Reference Ribeiro de Almeida, do Prado, Porto, dos Santos, Huws and Pilau2018) and analysis technique (Goldansaz et al., Reference Goldansaz, Guo, Sajed, Steele, Plastow and Wishart2017) contributing to differences between studies.

Future look

While the introduction of molecular techniques and next generation amplicon sequencing has undoubtedly increased our knowledge of the rumen microbiome, there is a danger that it has encouraged the cataloguing of rumen microbial populations rather than an understanding of their function. Recent developments that allow phylogenetic information to be upscaled to metabolic information (Wilkinson et al., Reference Wilkinson, Huws, Edwards, Kingston-Smith, Sui-Ting, Hughes, Rubino, Friedersdorff and Creevey2018) are clearly an important development in this area and will require an increased focus and revival in culture-based techniques to allow rumen microbes to be isolated and characterized. However, it is perhaps the introduction and integration of metagenomic, transcriptomic, proteomic and metabolomic techniques that offer the greatest potential of reaching a truly systems-level understanding of the rumen (Huws et al., Reference Huws, Creevey, Oyama, Mizrahi, Denman, Popova, Muñoz-Tamayo, Forano, Waters, Hess, Tapio, Smidt, Krizsan, Yáñez-Ruiz, Belanche, Guan, Gruninger, McAllister, Newbold, Roehe, Dewhurst, Snelling, Watson, Suen, Hart, Kingston-Smith, Scollan, do Prado, Pilau, Mantovani, Attwood, Edwards, McEwan, Morrisson, Mayorga, Elliott and Morgavi2018). Recent studies in which amplicon sequencing has been combined with metaproteomic and metabolomic analysis have established that combining techniques allows a deeper insight than previously possible into the complex network of microbial adaptation in the rumen (Deusch et al., Reference Deusch, Camarinha-Silva, Conrad, Beifuss, Rodehutscord and Seifert2017). However, in applying these techniques, it will be important to consider a whole microbiome approach, as many of the current studies focus only on the bacteriome and archaeal population and largely ignore the eukaryote population. True understanding of the rumen ecosystem will only be achieved by considering all aspects of the microbiome.

Acknowledgements

An abstract of the current review has been published in Advances in Animal Biosciences (Newbold CJ and Ramos-Morales E 2019. Ruminal microbiome and microbial metabolome: effects of diet and host. Advances in Animal Biosciences 10, 387).

E. Ramos-Morales 0000-0002-7056-9097

Declaration of interest

None.

Ethics statement

None.

Software and data repository resources

None.

References

Abecia, L, Jiménez, E, Martínez-Fernandez, G, Martín-García, AI, Ramos-Morales, E, Pinloche, E, Denman, SE, Newbold, CJ and Yáñez-Ruiz, DR 2017. Natural and artificial feeding management before weaning promote different rumen microbial colonization but not differences in gene expression levels at the rumen epithelium of newborn goats. PLoS ONE 12, e0182235.CrossRefGoogle Scholar
Abecia, L, Martínez-Fernandez, G, Waddams, K, Martín-García, AI, Pinloche, E, Creevey, CJ, Denman, SE, Newbold, CJ and Yáñez-Ruiz, DR 2018. Analysis of the rumen microbiome and metabolome to study the effect of an antimethanogenic treatment applied in early life of kid goats. Frontiers in Microbiology 9, 2227. https://doi.org//10.3389/fmicb.2018.02227CrossRefGoogle Scholar
Abecia, L, Waddams, KE, Martinez-Fernandez, G, Martin-Garcia, I, Ramos-Morales, E, Newbold, CJ and Yáñez-Ruiz, DR 2014. An antimethanogenic nutritional intervention in early life of ruminants modifies ruminal colonization by archaea. Archaea 2014, article ID: 841463. https://doi.org//10.1155/2014/841463CrossRefGoogle ScholarPubMed
Anderson, CL, Sullivan, MB and Fernando, SC 2017. Dietary energy drives the dynamic response of bovine rumen viral communities. Microbiome 5, 155. https://doi.org//10.1186/s40168-017-0374-3CrossRefGoogle ScholarPubMed
Artegoitia, VM, Foote, AP, Lewis, RM and Freetly, HC 2017. Rumen fluid metabolomics analysis associated with feed efficiency on crossbred steers. Scientific Reports 7, 2864. https://doi.org//10.1038/s41598-017-02856-0CrossRefGoogle ScholarPubMed
Belanche, A, de la Fuente, G and Newbold, CJ 2014. Study of methanogen communities associated with different rumen protozoal populations. FEMS Microbiology Ecology 90, 663–677.CrossRefGoogle ScholarPubMed
Belanche, A, de la Fuente, G and Newbold, CJ 2015. Effect of progressive inoculation of fauna-free sheep with holotrich protozoa and total-fauna on rumen fermentation, microbial diversity and methane emissions. FEMS Microbiology Ecology 91, 3. https://doi.org//10.1093/femsec/fiu026CrossRefGoogle ScholarPubMed
Belanche, A, Doreau, M, Edwards, J E, Moorby, J M, Pinloche, E and Newbold, CJ 2012. Shifts in the rumen microbiota due to the type of carbohydrate and level of protein ingested by dairy cattle are associated with changes in rumen fermentation. Journal of Nutrition 142, 1684–1692.CrossRefGoogle ScholarPubMed
Belanche, A, Kingston-Smith, AH and Newbold, CJ 2016. An integrated multi-omics approach reveals the effects of supplementing grass or grass hay with vitamin E on the rumen microbiome and its function. Frontiers in Microbiology 7, 905. https://doi.org//10.3389/fmicb.2016.00905CrossRefGoogle ScholarPubMed
Belanche, A, Kingston-Smith, AH, Griffith, GW and Newbold, CJ 2019. A multi-kingdom study reveals the plasticity of the rumen microbiota in response to a shift from non-grazing to grazing diets in sheep. Frontiers in Microbiology 10, 122. https://doi.org//10.3389/fmicb.2019.00122CrossRefGoogle Scholar
Belzecki, G, Newbold, CJ, McEwan, NR, McIntosh, FM and Michalowski, T 2007. Characterization of the amylolytic properties of the rumen ciliate protozoan Eudiplodinium maggii. Journal of Animal Feed Science 16, 590–606.CrossRefGoogle Scholar
Bera-Maillet, C, Devillard, E, Cezette, M, Jouany, JP and Forano, E 2005. Xylanases and carboxymethylcellulases of the rumen protozoa Polyplastron multivesiculatum, Eudiplodinium maggii and Entodinium sp. FEMS Microbiology Letters 244, 149–156.CrossRefGoogle ScholarPubMed
Carreño, D, Toral, PG, Pinloche, E, Belenguer, A, Yáñez-Ruiz, DR, Hervás, G, McEwan, NR, Newbold, CJ and Frutos, P 2019. Rumen bacterial community responses to DPA, EPA and DHA in cattle and sheep: a comparative in vitro study. Scientific Reports 9, 11857. https://doi.org//10.1038/s41598-019-48294-yCrossRefGoogle ScholarPubMed
Danielsson, R, Dicksved, J, Sun, L, Gonda, H, Müller, B, Schnürer, A and Bertilsson, J 2017. Methane production in dairy cows correlates with rumen methanogenic and bacterial community structure. Frontiers in Microbiology 8, 226. https://doi.org//10.3389/fmicb.2017.00226CrossRefGoogle ScholarPubMed
De Barbieri, I, Hegarty, RS, Silveira, C, Gulino, LM, Oddy, VH, Gilbert, RA, Klieve, AV and Ouwerkerk, D 2015. Programming rumen bacterial communities in newborn Merino lambs. Small Ruminant Research 129, 48–59.CrossRefGoogle Scholar
Deusch, S, Camarinha-Silva, A, Conrad, J, Beifuss, U, Rodehutscord, M and Seifert, J 2017. A structural and functional elucidation of the rumen microbiome influenced by various diets and microenvironments. Frontiers in Microbiology 8, 1605. https://doi.org//10.3389/fmicb.2017.01605CrossRefGoogle ScholarPubMed
Devillard, E, Bera-Maillet, C, Flint, HJ, Scott, KP, Newbold, CJ, Wallace, RJ, Jouany, JP and Forano, E 2003. Characterization of XYN10B, a modular xylanase from the ruminal protozoan Polyplastron multivesiculatum, with a family 22 carbohydrate-binding module that binds to cellulose. Biochemical Journal 373, 495–503.CrossRefGoogle ScholarPubMed
Devillard, E, Newbold, CJ, Scott, KP, Forano, E, Wallace, RJ, Jouany, JP and Flint, HJ 1999. A xylanase produced by the rumen ciliate protozoa Polyplastron multivesiculatum shows close sequence similarity with family 11 xylanases from gram positive bacteria. FEMS Microbiology Letters 181, 145–152.CrossRefGoogle ScholarPubMed
Difford, GF, Plichta, DR, Løvendahl, P, Lassen, J, Noel, SJ, Højberg, O, Wright, AD, Zhu, Z, Kristensen, L, Nielsen, HB and Guldbrandtsen, B 2018. Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows. PLoS Genetics 14, e1007580.CrossRefGoogle ScholarPubMed
Dougal, K, Harris, PA, Edwards, A, Pachebat, JA, Blackmore, TM, Worgan, HJ and Newbold, CJ 2012. A comparison of the microbiome and the metabolome of different regions of the equine hindgut. FEMS Microbiology Ecology 82, 642–652.CrossRefGoogle ScholarPubMed
Edwards, JE, Forster, RJ, Callaghan, TM, Dollhofer, V, Dagar, SS, Cheng, Y, Chang, J, Kittelmann, S, Fliegerova, K, Puniya, AK and Henske, JK 2017. PCR and omics based techniques to study the diversity, ecology and biology of anaerobic fungi: insights, challenges and opportunities. Frontiers in Microbiology 8, 1657. https://doi.org//10.3389/fmicb.2017.01657CrossRefGoogle Scholar
Elliott, CL, Edwards, JE, Wilkinson, TJ, Allison, GG, McCaffrey, K, Scott, MB, Rees-Stevens, P, Kingston-Smith, AH and Huws, SA 2018. Using Omic approaches to compare temporal bacterial colonization of Lolium perenne, Lotus corniculatus, and Trifolium pratense in the rumen. Frontiers in Microbiology 9, 2184. https://doi.org//10.3389/fmicb.2018.02184CrossRefGoogle ScholarPubMed
Fonty, G, Gouet, P, Jouany, JP and Senaud, J 1987. Establishment of the microflora and anaerobic fungi in the rumen of lambs. Microbiology 133, 1835–1843.CrossRefGoogle Scholar
Fonty, G, Senaud, J, Jouany, JP and Gouet, P 1988. Establishment of ciliate protozoa in the rumen of conventional and conventionalized lambs: influence of diet and management conditions. Canadian Journal of Microbiology 34, 235–241.CrossRefGoogle ScholarPubMed
Gilbert, RA, Kelly, WJ, Altermann, E, Leahy, SC, Minchin, C, Ouwerkerk, D and Klieve, AV 2017. Toward understanding phage: host interactions in the rumen; complete genome sequences of lytic phages infecting rumen bacteria. Frontiers in Microbiology 8, 2340. https://doi.org//10.3389/fmicb.2017.02340CrossRefGoogle ScholarPubMed
Gilbert, RA and Klieve, AV 2015. Ruminal viruses (bacteriophages, archaeaphages). In Rumen microbiology: from evolution to revolution (ed. Puniya, A, Singh, R and Kamra, D), pp. 121–141. Springer, New Delhi, India.CrossRefGoogle Scholar
Goldansaz, SA, Guo, AC, Sajed, T, Steele, MA, Plastow, GS and Wishart, DS 2017. Livestock metabolomics and the livestock metabolome: a systematic review. PLoS ONE 12, e0177675. https://doi.org//10.1371/journal.pone.0177675CrossRefGoogle ScholarPubMed
Henderson, G, Cox, F, Ganesh, S, Jonker, A, Young, W, Global Rumen Census Collaborators and Janssen, PH 2015. Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. Scientific Reports 5, 14567. https://doi.org//10.1038/srep14567CrossRefGoogle ScholarPubMed
Hitch, TCA, Edwards, JE and Gilbert, RA 2019. Metatranscriptomics reveals mycoviral populations in the ovine rumen. FEMS Microbiology Letters 366, fnz161. https://doi.org//10.1093/femsle/fnz161CrossRefGoogle ScholarPubMed
Huws, SA, Creevey, CJ, Oyama, LB, Mizrahi, I, Denman, SE, Popova, M, Muñoz-Tamayo, R, Forano, E, Waters, SN, Hess, M, Tapio, I, Smidt, H, Krizsan, SJ, Yáñez-Ruiz, DR, Belanche, A, Guan, L, Gruninger, RJ, McAllister, TA, Newbold, CJ, Roehe, R, Dewhurst, RJ, Snelling, TJ, Watson, M, Suen, G, Hart, EH, Kingston-Smith, AH, Scollan, ND, do Prado, RM, Pilau, EJ, Mantovani, HC, Attwood, GT, Edwards, JE, McEwan, NR, Morrisson, S, Mayorga, OL, Elliott, C and Morgavi, DP 2018. Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present, and future. Frontiers in Microbiology 9, 2161https://doi.org//10.3389/fmicb.2018.02161CrossRefGoogle ScholarPubMed
Janssen, PH and Kirs, M 2008. Structure of the archaeal community of the rumen. Applied and Environmental Microbiology 74, 3619–3625.CrossRefGoogle ScholarPubMed
Kittelmann, S, Devente, SR, Kirk, MR, Seedorf, H, Dehority, BA and Janssen, PH 2015. Phylogeny of the intestinal ciliates including first sequences from Charonina ventriculi and comparison of microscopy and 18S rRNA gene pyrosequencing for rumen ciliate community structure analysis. Applied and Environmental Microbiology 81, 2433–2444.CrossRefGoogle Scholar
Krause, DO, Nagaraja, TG, Wright, ADG and Callaway, TR 2013. Rumen microbiology: leading the way in microbial ecology. Journal of Animal Science 91, 331–341.CrossRefGoogle ScholarPubMed
Li, Z, Deng, Q, Liu, Y, Yan, T, Li, F, Cao, Y and Yao, J 2018. Dynamics of methanogenesis, ruminal fermentation and fiber digestibility in ruminants following elimination of protozoa: a meta-analysis. Journal of Animal Science and Biotechnology 9, 89. https://doi.org//10.1186/s40104-018-0305-6CrossRefGoogle ScholarPubMed
Lourenço, M, Ramos-Morales, E and Wallace, RJ 2010. The role of microbes in rumen lipolysis and biohydrogenation and their manipulation. Animal 4, 1008–1023.CrossRefGoogle ScholarPubMed
Martinez-Fernandez, G, Denman, SE, Yang, C, Cheung, J, Mitsumori, M and McSweeney, CS 2016. Methane inhibition alters the microbial community, hydrogen flow, and fermentation response in the rumen of cattle. Frontiers in Microbiology 7, 1122. https://doi.org//10.3389/fmicb.2016.01122CrossRefGoogle ScholarPubMed
McEwan, NR, Eschenlauer, SCP, Calza, RE, Wallace, RJ and Newbold, CJ 1999. Protozoal sequences may reveal additional isoforms of the 14-3-3 protein family. Protist 150, 257–264.CrossRefGoogle ScholarPubMed
Moon-van der Staay, SY, van der Staay, GWM, Michalowski, T, Jouany, JP, Pristas, P, Javorský, P, Kišidayová, S, Varadyova, Z, McEwan, NR, Newbold, CJ, van Alen, T, de Graaf, R, Schmid, M, Huynen, MA and Hackstein, JHP 2014. The symbiotic intestinal ciliates and the evolution of their hosts. European Journal of Protistology 50, 166–173.CrossRefGoogle ScholarPubMed
Morgavi, DP, Forano, E, Martin, C and Newbold, CJ 2010. Microbial ecosystem and methanogenesis in ruminants. Animal 4, 1024–1036.CrossRefGoogle ScholarPubMed
Morgavi, DP, Rathahao-Paris, E, Popova, M, Boccard, J, Nielsen, KF and Boudra, H 2015. Rumen microbial communities influence metabolic phenotypes in lambs. Frontiers in Microbiology 6, 1060. https://doi.org//10.3389/fmicb.2015.01060CrossRefGoogle ScholarPubMed
Naga, MA, Akkada, AA and El-Shazly, K 1969. Establishment of rumen ciliate protozoa in cow and water buffalo (Bos bubalus L.) calves under late and early weaning systems. Journal of Dairy Science 52, 110–112.CrossRefGoogle Scholar
Namonyo, S, Wagacha, M, Maina, S, Wambua, L and Agaba, M 2018. A metagenomic study of the rumen virome in domestic caprids. Archives of Virology 163, 3415–3419.CrossRefGoogle ScholarPubMed
Newbold, CJ 2017. Feed supplements for dairy cattle. In Achieving sustainable production of milk Volume 3: dairy herd management and welfare (ed. Webster, J), pp. 295–328. Burleigh Dodds Science Publishing, Cambridge, UK.CrossRefGoogle Scholar
Newbold, CJ, Chamberlain, DG and Williams, AG 1986. The effects of defaunation on the metabolism of lactic acid in the rumen. Journal of the Science of Food and Agriculture 37, 1083–1090.CrossRefGoogle Scholar
Newbold, CJ, de la Fuente, G, Belanche, A, Ramos-Morales, E and McEwan, NR 2015. The role of ciliate protozoa in the rumen. Frontiers in Microbiology 6, 1313. https://doi.org//10.3389/fmicb.2015.01313CrossRefGoogle ScholarPubMed
Newbold, CJ, McEwan, NR, Calza, RE, Chareyron, EN, Duval, SM, Eschenlauer, SCP, Farquharson, FM, Nelson, N, Travis, AJ and Wallace, RJ 2005. An NAD+-dependent glutamate dehydrogenase cloned from the ruminal ciliate protozoan, Entodinium caudatum. FEMS Microbiology Letters 247, 113–121.CrossRefGoogle ScholarPubMed
O’Callaghan, TF, Vázquez-Fresno, R, Serra-Cayuela, A, Dong, E, Mandal, R, Hennessy, D, McAuliffe, S, Dillon, P, Wishart, DS, Stanton, C and Ross, RP 2018. Pasture feeding changes the bovine rumen and milk metabolome. Metabolites 8, 27. https://doi.org//10.3390/metabo8020027CrossRefGoogle ScholarPubMed
Park, T, Wijeratne, S, Meulia, T, Firkins, J and Yu, Z 2018. Draft macro nuclear genome sequence of the ruminal ciliate Entodinium caudatum. Microbiology Resource Announcements 7, e00826-18.CrossRefGoogle Scholar
Ramos-Morales, E, De la Fuente, G, Duval, S, Wehrli, C, Bouillon, M, Lahmann, M, Preskett, D, Braganca, R and Newbold, CJ 2017. Antiprotozoal effect of saponins in the rumen can be enhanced by chemical modifications in their structure. Frontiers in Microbiology 8, 399. https://doi.org//10.3389/fmicb.2017.00399CrossRefGoogle ScholarPubMed
Ramos-Morales, E, Lyons, L, de la Fuente, G, Braganca, R and Newbold, CJ 2019a. Not all saponins have a greater antiprotozoal activity than their related sapogenins. FEMS Microbiology Letters 366, fnz144.CrossRefGoogle ScholarPubMed
Ramos-Morales, E, Rossi, G, Cattin, M, Jones, E, Braganca, R and Newbold, CJ 2018. The effect of an isoflavonoid-rich liquorice extract on fermentation, methanogenesis and the microbiome in the Rumen Simulation Technique. FEMS Microbiology Ecology 94, 3. https://doi.org//10.1093/femsec/fiy009CrossRefGoogle ScholarPubMed
Ramos-Morales, E, Tibble-Howlings, J, Lyons, L, Ogbu, MO, Murphy, PJ, Braganca, R and Newbold, CJ 2019b. Slight changes in the chemical structure of haemanthamine greatly influence the effect of the derivatives on rumen fermentation in vitro. Scientific Reports 9, 2440. https://doi.org//10.1038/s41598-019-38977-xCrossRefGoogle ScholarPubMed
Ribeiro de Almeida, RT, do Prado, RM, Porto, C, dos Santos, GT, Huws, SA and Pilau, EJ 2018. Exploring the rumen fluid metabolome using liquid chromatography-high-resolution mass spectrometry and molecular networking. Scientific Reports 8, 17971. https://doi.org//10.1038/s41598-018-36196-4CrossRefGoogle Scholar
Roehe, R, Dewhurst, RJ, Duthie, CA, Rooke, JA, McKain, N, Ross, DW, Hyslop, JJ, Waterhouse, A, Freeman, TC, Watson, M and Wallace, RJ 2016. Bovine host genetic variation influences rumen microbial methane production with best selection criterion for low methane emitting and efficiently feed converting hosts based on metagenomic gene abundance. PLoS Genetics 12, e1005846.CrossRefGoogle ScholarPubMed
Sasson, G, Ben-Shabat, SK, Seroussi, E, Doron-Faigenboim, A, Shterzer, N, Yaacoby, S, Miller, ME, White, BA, Halperin, E and Mizrahi, I 2017. Heritable bovine rumen bacteria are phylogenetically related and correlated with the cow’s capacity to harvest energy from its feed. MBio 8, e00703-17.CrossRefGoogle ScholarPubMed
Schader, C, Muller, A, Scialabba, N E-H, Hecht, J, Isensee, A, Erb, K-H, Smith, P, Makkar, HPS, Klocke, P, Leiber, F, Schwegler, P, Stolze, M and Niggli, U 2015. Impacts of feeding less food-competing feedstuffs to livestock on global food system sustainability. Journal of the Royal Society Interface 12, 20150891.CrossRefGoogle ScholarPubMed
Scollan, ND, Hocquette, JF, Richardson, RI and Kim, EJ 2011. Raising the nutritional value of beef and beef products to add value in beef production. In Nutrition and climate change: major issues confronting the meat industry (ed. Wood, JD and Rowlings, C), pp. 79–104. Nottingham University Press, Nottingham, UK.Google Scholar
Seshadri, R, Leahy, SC, Attwood, GT, The, KH, Lambie, SC, Cookson, AL, Eloe-Fadrosh, EA, Pavlopoulos, GA, Hadjithomas, M, Varghese, NJ, Paez-Espino, D, Hungate1000 project collaborators, Perry, R, Henderson, G, Creevey, CJ, Terrapon, N, Lapebie, P, Drula, E, Lombard, V, Rubin, E, Kyrpides, NC, Henrissat, B, Woyke, T, Ivanova, NN and Kelly, WJ 2018. Cultivation and sequencing of rumen microbiome members from the Hungate1000 Collection. Nature Biotechnology 36, 359–367.CrossRefGoogle ScholarPubMed
Stewart, RD, Auffret, MD, Warr, A, Walker, AW, Roehe, R and Watson, M 2019. The genomic and proteomic landscape of the rumen microbiome revealed by comprehensive genome-resolved metagenomics. https://doi.org//10.1101/489443, Published online by bioRxiv 8 December 2018.Google Scholar
Stewart, RD, Auffret, MD, Warr, A, Wiser, AH, Press, MO, Langford, KW, Liachko, I, Snelling, TJ, Dewhurst, RJ, Walker, AW, Roehe, R and Watson, M 2018. Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen. Nature Communications 9, 870. https://doi.org//10.1038/s41467-018-03317-6CrossRefGoogle ScholarPubMed
Takenaka, A, Tajima, K, Mitsumori, M and Kajikawa, H 2004. Fiber digestion by rumen ciliate protozoa. Microbes and Environment 19, 203–210.CrossRefGoogle Scholar
Tymensen, LD, Beauchemin, KA and McAllister, TA 2012. Structures of free-living and protozoa-associated methanogen communities in the bovine rumen differ according to comparative analysis of 16S rRNA and mcrA genes. Microbiology 158, 1808–1817.CrossRefGoogle ScholarPubMed
Ungerfeld, EM 2015. Shifts in metabolic hydrogen sinks in the methanogenesis-inhibited ruminal fermentation: a meta-analysis. Frontiers in Microbiology 6, 37. https://doi.org//10.3389/fmicb.2015.00037Google ScholarPubMed
Walker, ND, Newbold, CJ and Wallace, RJ 2005. Nitrogen metabolism in the rumen. In Nitrogen and phosphorus nutrition of cattle (ed. Pfeffer, E and Hristov, AN), pp 71–101. CABI International, Wallingford, UK.CrossRefGoogle Scholar
Wallace, RJ, McEwan, NR, McIntosh, FM, Teferedegne, B and Newbold, CJ 2002. Natural products as manipulators of rumen fermentation. Asian-Australasian Journal of Animal Sciences 15, 1458–1468.CrossRefGoogle Scholar
Wallace, RJ, Rooke, JA, Duthie, C-A, Hyslop, JJ, Ross, DW, McKain, N, Motta de Souza, S, Snelling, TJ, Waterhouse, A and Roehe, R 2014. Archaeal abundance in post-mortem ruminal digesta may help predict methane emissions from beef cattle. Scientific Reports 4, 5892. https://doi.org//10.1038/srep05892CrossRefGoogle ScholarPubMed
Wang, B, Ma, MP, Diao, QY and Tu, Y 2019. Saponin-induced shifts in the rumen microbiome and metabolome of young cattle. Frontiers in Microbiology 10, 356. https://doi.org//10.3389/fmicb.2019.00356CrossRefGoogle ScholarPubMed
Weimer, PJ 2015. Redundancy, resilience, and host specificity of the ruminal microbiota: implications for engineering improved ruminal fermentations. Frontiers in Microbiology 6, 296. https://doi.org//10.3389/fmicb.2015.00296CrossRefGoogle ScholarPubMed
Wereszka, K, McIntosh, FM, Michalowski, T, Jouany, JP., Nsabimana, E, Mache-boeuf, D, McEwan, NR and Newbold, CJ 2004. A cellulase produced by the rumen protozoan Epidinium ecaudatum is of bacterial origin and has an unusual pH optimum. Endocytobiosis and Cell Research 15, 561–569.Google Scholar
Wilkinson, TJ, Huws, SA, Edwards, JE, Kingston-Smith, AH, Sui-Ting, K, Hughes, M, Rubino, F, Friedersdorff, M and Creevey, CJ 2018. CowPI: a rumen microbiome focused version of the PICRUSt functional inference software. Frontiers in Microbiology 9, 1095. https://doi.org//10.3389/fmicb.2018.01095CrossRefGoogle ScholarPubMed
Williams, AG and Coleman, GS 1992. The rumen protozoa. Springer-Verlag, New York, NY, USA.CrossRefGoogle Scholar
Yan, S, Zhu, C, Yu, T, Huang, W, Huang, J, Kong, Q, Shi, J, Chen, Z, Liu, Q, Wang, S, Jiang, Z and Chen, Z 2017. Studying the differences of bacterial metabolome and microbiome in the colon between landrace and meihua piglets. Frontiers in Microbiology 8, 1812. https://doi.org//10.3389/fmicb.2017.01812CrossRefGoogle ScholarPubMed
Yáñez-Ruiz, DR, Abecia, L and Newbold, CJ 2015. Manipulating rumen microbiome and fermentation through interventions during early life: a review. Frontiers in Microbiology 6, 1133. https://doi.org//10.3389/fmicb.2015.01133CrossRefGoogle ScholarPubMed
Yáñez-Ruiz, DR, Macías, B, Pinloche, E and Newbold, CJ 2010. The persistence of bacterial and methanogenic archaeal communities residing in the rumen of young lambs. FEMS Microbiology Ecology 72, 272–278.CrossRefGoogle ScholarPubMed
Yang, Y, Dong, G, Wang, Z, Wang, J, Zhang, Z and Liu, J 2018. Rumen and plasma metabolomics profiling by UHPLC-QTOF/MS revealed metabolic alterations associated with a high-corn diet in beef steers. PLoS ONE 13, e0208031.CrossRefGoogle ScholarPubMed
Zhou, M, Peng, YJ, Chen, Y, Klinger, CM, Oba, M and Liu, JX 2018. Assessment of microbiome changes after rumen transfaunation: implications on improving feed efficiency in beef cattle. Microbiome 6, 62.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1 Potential effects of dietary additives on the rumen microbiome and fermentation and limitations of their use in animal feeding. MCFA=medium chain fatty acids; PUFA=polyunsaturated fatty acids; VFA=volatile fatty acids.

Figure 1

Figure 2 Effect of the addition of live yeast to the diet of cattle from birth to 60 days after birth (weaning) on bacterial diversity ((a) richness and (b) Simpson index) in the rumen at 60 days and 8, 15, 20 and 32 months after birth. Black and grey bars represent the control and yeast treatment, respectively.