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Review

Exploring the Effect of Gastrointestinal Prevotella on Growth Performance Traits in Livestock Animals

by
Xiyan Kou
1,
Qingshan Ma
1,
Yihong Liu
1,
Muhammad Zahoor Khan
1,
Boxian Wu
2,
Wenting Chen
1,
Xiaotong Liu
1,
Changfa Wang
1,* and
Yan Li
1,*
1
School of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China
2
Shandong Dong’e Black Donkey Husbandry Technology Co., Ltd., Liaocheng 252000, China
*
Authors to whom correspondence should be addressed.
Animals 2024, 14(13), 1965; https://doi.org/10.3390/ani14131965
Submission received: 28 May 2024 / Revised: 27 June 2024 / Accepted: 1 July 2024 / Published: 2 July 2024
(This article belongs to the Special Issue Ruminal Microbiota, Fermentation Process, Enteric Methane Emissions, and Animal Performance)
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Abstract

:

Simple Summary

Prevotella is a strictly anaerobic bacterium that is commonly found in the gastrointestinal tract of domestic animals. This paper presents a thorough review of the current research on the functions, potential mechanisms, and applications of Prevotella within the gastrointestinal system. The findings suggest that Prevotella plays a crucial role in the metabolism of carbohydrates, lipids, and amino acids in the host. Additionally, there is a notable correlation between the presence of Prevotella and the growth performance of livestock. Future research and practical applications aim to delve further into the potential of Prevotella, contributing to the sustainable development of the livestock industry.

Abstract

Microorganisms in the rumen play a crucial role in determining the most efficient utilization rate of nutrients. Among these microorganisms, Prevotella stands out as one of the most representative bacteria within the rumen biological system. Prevotella is a common strict anaerobic bacterium that is found in the gastrointestinal tract of livestock. Prevotella plays a crucial role in breaking down and metabolizing complex nutrients like cellulose and protein during food digestion. Moreover, it is capable of working together with other bacteria in the body’s digestive system. Several studies have shown a strong correlation between the abundance of Prevotella and livestock growth performance. This paper provides a comprehensive review of the current research on the function, mechanisms, and applications of Prevotella in the gastrointestinal tract. The insights provided in this review could serve as a theoretical basis for accurately classifying Prevotella, further investigating its effects and potential mechanisms on livestock growth performance, and exploring its practical applications.

1. Introduction

The intestinal microbiota is a complex ecosystem comprising diverse microbial communities such as bacteria, anaerobic fungi, methanogenic archaea, and ciliate protozoa, which coexist symbiotically with their host organisms [1,2]. Intestinal microbiota and their hosts have developed a complex and mutually adapted micro-ecological system [3]. This steady microbiome-host balance is essential for the maintenance and ideal physiological function of the intestine [4]. Consistently, studies have shown that these microbial communities are known to influence various aspects of host physiology, such as nutrient metabolism, immune system function, and overall health [5,6]. Therefore, many factors influence the diversity and function of gut microbes, such as environmental factors, diet, antibiotic use, lifestyle, genetics, age, and so on [7,8,9,10,11,12,13,14].
The associations of gut microbiota with health and production performance have been extensively studied in livestock animals including donkeys [15,16,17,18], horses [19,20,21,22,23], cattle [24,25,26,27,28,29], buffalo [30,31,32], pigs [33,34], sheep and goats [5,35,36,37,38,39,40,41,42]. The growth performance of livestock is directly related to the economic benefits of farming. The degree of digestion and absorption of nutrients directly affects the growth performance of the livestock. The intestinal tract is a key site for nutrient digestion and absorption in animals, with a large number of microorganisms living in symbiosis. Studies have shown that intestinal microorganisms play an extremely important role in maintaining the normal functioning of the intestinal tract, influencing the host’s growth performance [43]. With the development of high-throughput sequencing and anaerobic pure culture techniques, the roles of strict anaerobes in the intestinal tract, such as Bifidobacterium and Prevotella, are gradually being revealed. Among them, Prevotella is commonly found in the intestinal tracts of a wide range of animals, including humans [44], mice [45], ruminants [46], and poultry [47], where it contributes significantly to carbohydrate, lipid, and amino acid metabolism [48,49,50,51] and is associated with growth performance. The populations of Prevotella ruminicola were enhanced by increasing guanidinoacetic acid (GAA) addition [52] and were associated with feed efficiency [53]. Furthermore, some Prevotella species may be potentially infectious agents for livestock; one study found that Prevotella melaninogenica is a causative agent of endometritis in cattle [29]. Interestingly, Prevotella, a representative genus of Bacteroidetes, was also a key microbe that was shown to be useful in improving disease prognosis [54]. Consistently, an increased abundance of Prevotella has been found to be correlated with several pathways related to amino acid and carbohydrate metabolism pathways, including branched-chain amino acid metabolism [55]. Additionally, Prevotella ruminicola has been shown to play a crucial role in the proteolysis of cereal grains [56]. Considering the significance of Prevotella, this review paper aims to outline the recent research reports on the classification, characteristics, distribution, and correlation between Prevotella in the gastrointestinal tract and growth performance. The objective is to provide a theoretical foundation for further investigations into the role of Prevotella and the identification of new probiotic strains.

2. Animal Microbiota and Their Role in Livestock Animals Growth Performance

The microbiome plays a crucial role in the ecology and metabolic abilities of many animals, making it vital for their survival and persistence over time and space. One area where microbial gut communities are especially significant is in their mutualistic symbiotic relationships with the host. These communities contribute to various important functions for the host, including digestion, immunity, and even behavior [57,58,59,60,61]. Consistently, the direct relationship of gut microbiota with growth performance has been documented in several livestock animals [62] including pig [63,64,65,66,67], cattle [68,69,70,71], sheep [39,72,73,74]; goats [35,75,76], and donkeys [15,77,78]. While the microbiota plays an important role in maintaining livestock health and improving growth performance, the microbiota can be affected by various factors such as dietary changes, antibiotics, and probiotic supplements. Therefore, the discovery of animal microbiota and their role in livestock growth performance, and the identification of potential associations between microbiota and livestock growth performance will provide important information for the development of intervention strategies aimed at improving livestock growth.

3. Gastrointestinal Prevotella

3.1. Brief Description of Prevotella

Prevotella belongs to the Bacteroidetes, Bacteroidia, Bacteroidales, and Prevotellaceae. The Prevotella genus was created in 1990 by Shah and Collins after reclassification from the genus Mycobacterium [79]. Following the naming of the new genus Prevotella by French microbiologist A.R. Prevot, 16 species of Gram-negative, specialized anaerobes were reclassified, eventually to the genus Prevotella. Prevotella spp. are polymorphic bacilli, non-spore-producing, Gram-negative organisms, which are very demanding on growth conditions, requiring a strictly anaerobic environment, with an optimal growth temperature of 37 ℃, and their growth can be inhibited by 20% (w/v) bile acid or 6.5% NaCl. The main fermentation products of Prevotella are acetic acid, succinic acid, and small amounts of isobutyric, isovaleric, and lactic acids. Currently, Prevotella can be isolated from a variety of environments, such as the human oral cavity, skin abscesses, intestinal contents, and soil. Prevotella is also prevalent in the rumen and the intestinal tract of monogastric, where it affects growth performance [80].

3.2. Classification of the Prevotella

Currently, the genus Prevotella officially published in the List of Prokaryotic names with Standing in Nomenclature (LPSN) consists of 62 species and one subspecies. The phylogenetic tree was constructed based on the 16S rRNA sequences of these Prevotella species (Figure 1), and all of them, except for Prevotella mizrahii, have been subjected to whole-genome sequencing, with the genome sizes ranging from 1413 bp to 1535 bp. The reclassification of Prevotella has been discussed, but no official classification basis has been published. Avguštin et al. [81] proposed to compare “rumen” and “non-rumen” Prevotella separately, and in genome analyses of Prevotella, taxonomic comparisons have also begun to be made between “ruminant” and “human isolates”. The basis for the classification of Prevotella has evolved with advances in technology. Early classification was based on 16S rRNA gene sequence comparisons, but as more and more Prevotella were discovered, 16S rRNA gene sequence comparisons alone did not provide sufficient evidence to accurately differentiate the Prevotella. In this regard, Hitch et al. [82] have reassessed the relevance of species within the genus Prevotella based on a multi-genomic approach; by building a phylogenetic tree using three different sets of marker genes, performing average amino acid identity (AAI) and percentage of conserved proteins (POCP) comparisons, pan-genomic identification of specific marker genes, protein families (Pfam) and carbohydrate-activating enzyme (CAZyme) with 19,000 amplicon samples were analyzed to show the metabolic profiles of different Prevotella species for precise strain identification.

3.3. Characteristics of the Distribution of Prevotella in the Gastrointestinal Tract

The species, number, and distribution of Prevotella can vary due to differences in gastrointestinal tract structures, internal environments, and growth stages among animals. Prevotella richness gradually increases from the proximal to distal gastrointestinal tract with increasing pH [83,84]. Prevotella is present throughout the gastrointestinal tract of animals. Xie et al. [85] found that Prevotella was more abundant in the stomach than in the intestine and was highest in the rumen of seven ruminant species (cow, buffalo, yak, goat, sheep, deer, and roe deer). Consistently, Li et al. [86] found that in the gastrointestinal tract of donkeys, the cecum was more abundant in Prevotella. Not only the gut, but also the mucosa is an important site for Prevotella parasitism, and Looft et al. [87] observed that in the ileum of adult pigs, the concentration of Prevotella in the intestinal mucosal microbiota was significantly higher than in the intestinal microbiota. Also, Prevotella load fluctuates with the growth stage. Studies have shown that Prevotella gastrointestinalis is less abundant during lactation but becomes the dominant flora during the growth and fattening stages after weaning [88,89,90,91,92]. This is equally supported by another study in calves [93], where the rumen microflora was dominated by Bacteroidetes during the first month of life, with Prevotella becoming the dominant family as they aged.
The species, number, and distribution of Prevotella are also influenced by what is going on in the intestinal environment. Wang et al. [88] found Prevotella as a core group of growing bacteria that can interact with other microbial community members. Studies in pigs have shown that Prevotella can co-operate with Lactobacillus in the intestinal tract to break down a wide range of plant polysaccharides in order to adapt to changes in dietary conditions after weaning [90]. Fehlner et al. [94] found that mutual co-operation between different Prevotella species was able to catabolize richer and more complex polysaccharides. Interactions between other microorganisms in the intestinal environment and Prevotella may be an important factor influencing the behavior of Prevotella in different intestinal ecosystems and its interactions with the host. Liang et al. [95] found that during digestion of corn stover by Angus bull, Prevotella may synergize with other fungi (Ascomycota, Basidioycota, Mucoromycota, and Chytridiomycota) to degrade cellulose.
It can be seen that differences in the structure of the gastrointestinal tract, the internal environment, microbial interactions in the gastrointestinal tract, and the stage of growth of animals affect the species and abundance of Prevotella and further influence metabolic processes such as the breakdown of complex carbohydrates in the gastrointestinal tract, which may have an impact on livestock growth performance.

4. Effect of Prevotella on Growth Performance Traits of Livestock Animals

Gastrointestinal Prevotella can be influenced by various factors such as diet [64], age, gastrointestinal physiological factors, and environmental factors. The complex of influences triggers changes in the biomass of different Prevotella species, which in turn improves the growth performance of livestock (Figure 2). Mechanism-wise, they revealed that Prevotella can enhance the secretion of enzymes responsible for nutrition degradation and increase the production of propionate, potentially impacting the gluconeogenesis pathway to provide more energy for the host [96]. Another study in rats indicated that Prevotella may regulate feed intake through the gut–brain axis by influencing serum ghrelin levels [97]. However, further research is required to fully elucidate the precise mechanism.

4.1. Feeding Strategies to Improve Gastrointestinal Prevotella in Ruminant Livestock and Their Association with Growth Performance Traits

Prevotella is one of the richest flora in the gastrointestinal tract of livestock and is identified mainly in the rumen. Gastrointestinal Prevotella in rumen livestock can be affected by feeding strategies that affect livestock growth performance. Cui et al. [98] found that changing the feeding strategy of beef cattle to whole-plant corn silage improved the level of Prevotellaceae_UCG-003, significantly increased daily gain, and decreased the feed intake-to-weight gain ratio of beef cattle. This facilitates positive regulation of several beneficial biological processes including amino acid metabolism, carbohydrate metabolism, energy metabolism, genetic information processing, lipid metabolism, membrane transport, metabolism of cofactors and vitamins, nucleotide metabolism, replication and repair, and translation. In studies with beef cattle, it has been found that the addition of different ingredients to the ration improves different Prevotella strains to enhance growth performance. For example, the addition of lactic acid bacteria probiotics to the ration improves Prevotella copri and Prevotella stercorea and helps the host to digest complex carbohydrates such as starch [99]; additional addition of yeast and yeast cell wall polysaccharides can improve Prevotella brevis B14; Prevotella bryantii GA33; and Prevotella ruminicola 23 with an increase in mean daily weight gain and improve growth performance [100]. In a study where different tropical agricultural by-products were fed to buffaloes in place of conventional feeds, complete replacement of regular feed concentrates with palm kernel cake and corn gluten was found to result in increased load of Prevotella in the rumen, lower average daily gain and digestibility, and reduced growth performance, whereas the use of cassava residue and dried distiller’s grain for alternative feeding affects the reduction in Prevotella concentration, but resulted in a significant increase in average daily gain and an increase in growth performance [101]. Similar findings have been made not only in cattle and buffalo but also in sheep, where Wu et al. [96] found that the addition of cysteamine to lambs’ rations enhanced Prevotella to enhance growth performance and rumen fermentation. Zhang et al. [102] conducted a study in which they substituted 33% of corn starch with barley starch in the diet of sheep. They found that this substitution improved Prevotella brevis, enhanced the rumen environment, and increased feed efficiency. Rehemujiang et al. [103] discovered that feeding sheep a fermented total mixed ration containing cottonseed meal resulted in improved Prevotella levels, increased volatile fatty acid production, promoted average daily weight gain, and enhanced overall performance. In a study by Yu et al. [42], it was found that thymol supplementation reduced the presence of Prevotella melaninogenica and Prevotella ruminicola in the rumen of goats. P. melaninogenica is associated with xylitol fermentation, while P. ruminicola is involved in cellulose and pectin degradation, as well as protein and peptide metabolism. Thus, reductions in P. melaninogenica and P. ruminicola may be detrimental to the breakdown of proteins and fibrous material, resulting in reduced methane production. In addition to modifying the composition of the ration, optimizing feeding patterns can also influence the prevalence of Prevotella, thereby enhancing the overall performance of livestock. Wang et al. [104] found that rearing calves through the concentrate plus hay feeding pattern could increase the content of Prevotella multisaccharivorax, which is more helpful to the digestion of carbohydrates and alleviates inflammation. Simultaneously, the synergistic effect with the host could hydrolyze lipid substances more efficiently and promote the absorption of fat by the organism. In a study on Tibetan sheep, it was found that indoor feeding regimes could regulate amino acids, lipid, and carbohydrate metabolism in muscle tissues and improve meat quality by increasing Prevotella [105].

4.2. Feeding Strategies to Improve Gastrointestinal Prevotella and Their Effect on Growth Performance Traits in Donkeys and Pigs

Huang et al. [15] found that the addition of yeast polysaccharide to the ration improved the metabolic mechanisms by which Prevotella promotes growth-promoting and immune-regulating effects. Donkeys with corn straw diets were fed ad libitum in addition to a commercial concentrate diet also improves Prevotella and affects lipid metabolism and immune responses [86]. In studies on pigs, the addition of tryptophan and glutamic acid to diets can improve intestinal health and growth performance by increasing Prevotella load to stabilize the intestinal environment and immune status [34]. Hu et al. [106] added vanillic acid to piglet diets and found that it could improve Prevotella and increase the final body weight and average daily gain.
Different feeding strategies cause improvements in different Prevotella species, resulting in complex results (Table 1). This phenomenon may be attributed to the notable diversity observed among Prevotella in their capacity to utilize complex polysaccharides [107], or to the significant discrepancies in the role played by Prevotella between ruminant and non-ruminant livestock. Further in-depth studies utilizing pure cultures, sterile animals, and genomics techniques are required to accurately investigate the roles of specific strains of Prevotella on livestock growth and development, and thus to explore their causality in altering livestock growth. Furthermore, the causal role of specific Prevotella strains in altering the growth performance of livestock must be investigated.

5. Involvement of Prevotella in Metabolism of Livestock Animals

Prevotella has an important contribution to carbohydrate metabolism, lipid metabolism, and amino acid metabolism in livestock, which affects growth performance.

5.1. Involvement of Prevotella in Carbohydrate Metabolism

As an important source of nutrition for most livestock, the ability of the animal body to digest and absorb carbohydrates will directly affect the growth performance of the organism. Prevotella is abundantly distributed in the rumen of ruminants or the gastrointestinal tract of other herbivores and can degrade and utilize a wide range of polysaccharides [80], from which it derives energy to sustain the growth of the animal. There are differences in the polysaccharides that can be metabolized by different Prevotella species. Peach et al. [94] found that Prevotella has Polysaccharide Utilization Loci (PULs) encoding a variety of carbohydrate-active enzymes by macro-genome sequencing techniques, P. copri can degrade a wide range of hemicelluloses in the plant such as xylan, arabinose, mannose, etc., whereas P. stercorea has only a low ability to metabolize hemicellulose. It can be seen that there are large differences in complex polysaccharide degradation by different Prevotella species, which may be one of the reasons for their different correlations with livestock growth performance. In addition, the synergistic interactions of different Prevotella species play an important role in the degradation of complex carbohydrates in the gastrointestinal tract. It was found that P. stercorea has uncommon carbohydrate esterases compared to P. copri and also has a wide range of amino acid metabolism functions; this led to the speculation that P. stercorea may act to remove ester group modifications from complex carbohydrates in order to promote sugar hydrolysis [108].

5.2. Involvement of Prevotella in the Regulation of Host Lipid Metabolism

In human studies, the concentration of Prevotella or the ratio of Prevotella to Anthrobacter have been identified as key biomarkers for adiposity loss and weight management [109,110]. Similarly, studies in livestock have demonstrated that alterations in Prevotella levels influence fat deposition [111,112]. In a comparable study, Conte et al. [113] reported a positive correlation between Prevotella richness and lipid metabolism in dairy cows. In yaks, Prevotella in the rumen was positively and negatively correlated with polyunsaturated and saturated fatty acids, respectively [114]. Interestingly Prevotella intestinalis also showed significantly higher mean daily feed intake and growth performance than other intestinal types [112,115]. In terms of possible mechanisms, a previous study by our group [86] showed that donkey intestinal Prevotella load and intestinal lipid metabolism genes (e.g., PPARγ, ME1, MBOAT1, ACOX1, ACOX2, LIPH) are positively correlated or regulate host lipid metabolism through signaling pathways associated with these genes. A review of the available research reports (Figure 3) suggests that the possible mechanism is that Prevotella can efficiently derive energy from complex polysaccharides [116] through fermentation of soluble carbohydrates and degradation of insoluble plant fibers to produce short-chain fatty acids, which can be used as substrates for lipogenesis, gluconeogenesis, and cholesterol synthesis [43], which in turn can increase the fat deposition in the host. It has also been found that Prevotella can elevate the abundance of lipopolysaccharides and branched-chain amino acids in serum, which activates the mTOR signaling pathway, promotes liposynthesis, and reduces lipolysis, thus further increasing the level of fat deposition in the host [117]. Although existing studies have found that Prevotella can enhance host fat deposition, the specific regulatory pathway is still not very clear, coupled with the fact that different Prevotella strains are functionally different, and isolation and pure culture of Prevotella strains are also very difficult, so it is still difficult to explore the mechanism by which Prevotella regulates host fat metabolism in the gastrointestinal tract of livestock.

5.3. Involvement of Prevotella in Host Amino Acid Metabolism

Amino acid metabolism, as one of the three major substance metabolisms, plays a crucial role in maintaining metabolic homeostasis in the body [118]. It was found that Prevotella is often positively correlated with amino acid metabolism [119]. Xue et al. [120] found that Prevotella may be involved in host amino acid metabolism including glycine, serine, threonine, alanine, aspartic acid, glutamic acid, cysteine, and methionine by using multi-omics techniques. Takahashi et al. [51] further investigated and confirmed the pathway of Prevotella intermedia and Prevotella nigrescens strains to metabolize aspartic acid, valine, and leucine with metabolic end products such as succinic acid, acetic acid, isobutyric acid, isovaleric acid. Among them, succinic acid and acetic acid can enter the tricarboxylic acid cycle to participate in the growth and metabolism of the organism, and isobutyric acid and isovaleric acid can be used as precursors of short-chain fatty acids [118]. Prevotella can release ammonia by amino acid deamination and urease hydrolysis of urea, which can later be used for metabolism and protein synthesis [121].

6. Prospects for the Application of Prevotella

Currently, research on the application of Prevotella has been carried out in various areas. In animal husbandry, Prevotella has the potential to be used as an antimethanogenic agent. One of the end products of rumen fermentation in ruminants is methane, which is a polluting greenhouse gas and can characterize the energy loss of livestock [122,123,124,125]. Thus, enabling livestock to reduce methane production is beneficial for energy utilization and environmental protection. It has been found that Prevotella can sequester hydrogen by fermenting sugar or lactic acid via the succinate or acrylic acid pathways, respectively [126,127], to reduce methane production. Roehe et al. [128] found an abundance and high density of Prevotella in Holstein cattle herds that produced less methane under the same feeding conditions. Thus, Prevotella can be used as an applied research direction to reduce methane production. Prevotella can also be used as a probiotic to improve livestock growth performance. Probiotics are important potential alternatives to antibiotic growth promoters [129], not only to improve digestion and absorption but also to influence the immune and antioxidant functions of livestock. Currently, Prevotella may be used as a probiotic in early lactation dairy cows and sheep to improve rumen fermentation products and milk fat concentration and may be developed as a feed additive to improve feed efficiency [130,131,132]. However, the application of Prevotella is not widespread at the moment, a wide range of practical applications can be developed on the basis of theoretical research. For example, the development of functional probiotics, through the combination of genetic recombination, transfection, and other genetic engineering techniques, to improve strain resistance and effective expression of beneficial metabolites, to accelerate the research of symbiotic factors, the development of complex functional probiotics, and so on.

7. Conclusions

In recent years, significant progress has been made in studying the influence of the gastrointestinal microbiota on livestock growth performance. However, research in this area is still limited to examining the association between overall community diversity and host phenotype. Therefore, it is crucial to determine the causal effects of individual members of the gastrointestinal microbiota on host phenotypes in order to improve livestock growth performance and productivity. For instance, Prevotella has been found to have varying effects on the host in the porcine gastrointestinal tract. This suggests that it is necessary to clearly classify individual strains of the Prevotella genus and conduct studies that are specific to the genus or even individual strains before investigating their associated effects. The increasing use of technologies such as genomics, proteomics, and metabolomics in functional studies of the microbiota allows for a comprehensive characterization of the composition, function, and metabolic activity of complex microbiota, even at the strain level. With the declining cost of multi-omics analyses and the rapid development of data integration, multi-omics technologies will be increasingly employed in studying the gastrointestinal microbiota.
Future research is expected to focus on screening the pure culture of Prevotella gastrointestinalis, constructing a whole genome reference database for Prevotella, improving the accuracy of gene annotation, further analyzing the function of the genus and even the microbial community through multi-omics analysis technology, and elucidating the cause-and-effect relationship between phenotypes and the mechanism of action. Based on these findings, practical applications of Prevotella can be developed in multiple directions.

Author Contributions

Conceptualization, methodology, supervision, writing—original draft, project administration: X.K., Y.L. (Yan Li), and C.W.; formal analysis and interpretation, software, data curation, validation, writing—review and editing: M.Z.K., X.K., Y.L. (Yan Li), B.W., W.C., X.L., Q.M., Y.L. (Yihong Liu), and C.W.; resources and funding: Y.L. (Yan Li), and C.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 32102564, the National Key R&D Program of China grant number 2022YFD1600103, the Open Project of Liaocheng University Animal Husbandry Discipline, grant number 319462207-11 and 319462207-13, the Innovation and Entrepreneurship Program for College Students (2022404234), the Shandong Province Modern Agricultural Technology System Donkey Industrial Innovation Team (grant no. SDAIT-27).

Data Availability Statement

Data contained within the article.

Conflicts of Interest

Author Boxian Wu was employed by the company Shandong Dong’e Black Donkey Husbandry Technology Co., Ltd. The remaining 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.

Abbreviations

GAAGuanidinoacetic acid
LPSNList of Prokaryotic names with Standing in Nomenclature
AAI Average amino acid identity
POCPPercentage of conserved proteins
PfamPan-genomic identification of specific marker genes, protein families
CAZymeCarbohydrate-activating enzyme
GIGastrointestinal
PULsPolysaccharide Utilization Loci
SCFAShort-chain fatty acids

References

  1. Ley, R.E.; Peterson, D.A.; Gordon, J.I. Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell 2006, 124, 837–848. [Google Scholar] [CrossRef] [PubMed]
  2. Edwards, J.E.; Shetty, S.A.; van den Berg, P.; Burden, F.; van Doorn, D.A.; Pellikaan, W.F.; Dijkstra, J.; Smidt, H. Multi-kingdom characterization of the core equine fecal microbiota based on multiple equine (sub)species. Anim. Microbiome 2020, 2, 6. [Google Scholar] [CrossRef] [PubMed]
  3. Santos, A.S.; Rodrigues, M.A.; Bessa, R.J.; Ferreira, L.M.; Martin-Rosset, W. Understanding the equine cecum-colon ecosystem: Current knowledge and future perspectives. Animal 2011, 5, 48–56. [Google Scholar] [CrossRef] [PubMed]
  4. Lindenberg, F.; Krych, L.; Kot, W.; Fielden, J.; Frokiaer, H.; van Galen, G.; Nielsen, D.S.; Hansen, A.K. Development of the equine gut microbiota. Sci. Rep. 2019, 9, 14427. [Google Scholar] [CrossRef]
  5. Luo, T.; Zhu, J.; Li, K.; Li, Y.; Li, J.; Chen, Y.; Shi, H. Crosstalk between innate immunity and rumen-fecal microbiota under the cold stress in goats. Front. Immunol. 2024, 15, 1363664. [Google Scholar] [CrossRef]
  6. Su, L.; Guo, J.; Shi, W.; Tong, W.; Li, X.; Yang, B.; Chen, Y.; Xiang, Z.; Qin, C. Metagenomic analysis reveals the impact of sampling methods on intestinal microbiota in donkeys and cows. Preprint 2024. [Google Scholar] [CrossRef]
  7. Kartjito, M.S.; Yosia, M.; Wasito, E.; Soloan, G.; Agussalim, A.F.; Basrowi, R.W. Defining the Relationship of Gut Microbiota, Immunity, and Cognition in Early Life-A Narrative Review. Nutrients 2023, 15, 2642. [Google Scholar] [CrossRef]
  8. Guo, R.; Zhang, W.; Shen, W.; Zhang, G.; Xie, T.; Li, L.; Jinmei, J.; Liu, Y.; Kong, F.; Guo, B.; et al. Analysis of gut microbiota in chinese donkey in different regions using metagenomic sequencing. BMC Genom. 2023, 24, 524. [Google Scholar] [CrossRef]
  9. Deng, J.; Liu, Y.J.; Wei, W.T.; Huang, Q.X.; Zhao, L.P.; Luo, L.Y.; Zhu, Q.; Zhang, L.; Chen, Y.; Ren, Y.L.; et al. Single-cell transcriptome and metagenome profiling reveals the genetic basis of rumen functions and convergent developmental patterns in ruminants. Genome Res. 2023, 33, 1690–1707. [Google Scholar] [CrossRef]
  10. Guo, R.; Zhang, S.; Chen, J.; Shen, W.; Zhang, G.; Wang, J.; Zhang, F.; Pan, Q.; Xie, T.; Ai, D.; et al. Comparison of gut microflora of donkeys in high and low altitude areas. Front. Microbiol. 2022, 13, 964799. [Google Scholar] [CrossRef]
  11. Tee, M.Z.; Er, Y.X.; Easton, A.V.; Yap, N.J.; Lee, I.L.; Devlin, J.; Chen, Z.; Ng, K.S.; Subramanian, P.; Angelova, A.; et al. Gut microbiome of helminth-infected indigenous Malaysians is context dependent. Microbiome 2022, 10, 214. [Google Scholar] [CrossRef]
  12. Yu, D.; Meng, X.; de Vos, W.M.; Wu, H.; Fang, X.; Maiti, A.K. Implications of Gut Microbiota in Complex Human Diseases. Int. J. Mol. Sci. 2021, 22, 12661. [Google Scholar] [CrossRef] [PubMed]
  13. Xing, J.; Liu, G.; Zhang, X.; Bai, D.; Yu, J.; Li, L.; Wang, X.; Su, S.; Zhao, Y.; Bou, G.; et al. The Composition and Predictive Function of the Fecal Microbiota Differ Between Young and Adult Donkeys. Front. Microbiol. 2020, 11, 596394. [Google Scholar] [CrossRef] [PubMed]
  14. Choudhury, R.; Middelkoop, A.; Bolhuis, J.E.; Kleerebezem, M. Legitimate and Reliable Determination of the Age-Related Intestinal Microbiome in Young Piglets; Rectal Swabs and Fecal Samples Provide Comparable Insights. Front. Microbiol. 2019, 10, 1886. [Google Scholar] [CrossRef] [PubMed]
  15. Huang, B.; Khan, M.Z.; Chen, Y.; Liang, H.; Kou, X.; Wang, X.; Ren, W.; Wang, C.; Zhang, Z. Yeast polysaccharide supplementation: Impact on lactation, growth, immunity, and gut microbiota in Dezhou donkeys. Front. Microbiol. 2023, 14, 1289371. [Google Scholar] [CrossRef] [PubMed]
  16. Zhang, Z.; Huang, B.; Gao, X.; Shi, X.; Wang, X.; Wang, T.; Wang, Y.; Liu, G.; Wang, C. Dynamic changes in fecal microbiota in donkey foals during weaning: From pre-weaning to post-weaning. Front. Microbiol. 2023, 14, 1105330. [Google Scholar] [CrossRef]
  17. Zhang, Z.; Huang, B.; Wang, Y.; Zhu, M.; Wang, C. Could Weaning Remodel the Oral Microbiota Composition in Donkeys? An Exploratory Study. Animals 2022, 12, 2024. [Google Scholar] [CrossRef] [PubMed]
  18. Li, Y.; Ma, Q.; Liu, G.; Zhang, Z.; Zhan, Y.; Zhu, M.; Wang, C. Metabolic Alternations During Gestation in Dezhou Donkeys and the Link to the Gut Microbiota. Front. Microbiol. 2022, 13, 801976. [Google Scholar] [CrossRef]
  19. Boucher, L.; Leduc, L.; Leclere, M.; Costa, M.C. Current Understanding of Equine Gut Dysbiosis and Microbiota Manipulation Techniques: Comparison with Current Knowledge in Other Species. Animals 2024, 14, 758. [Google Scholar] [CrossRef]
  20. Arias-Esquivel, A.M.; Jeong, K.C.; Fan, P.; Lance, J.; DeNotta, S.; Wickens, C. Gut microbiome characteristics of horses with history of cribbing behavior: An observational study. J. Vet. Behav. 2024, 72, 40–50. [Google Scholar] [CrossRef]
  21. Carrillo Heredero, A.M.; Sabbioni, A.; Asti, V.; Ablondi, M.; Summer, A.; Bertini, S. Fecal microbiota characterization of an Italian local horse breed. Front. Vet. Sci. 2024, 11, 1236476. [Google Scholar] [CrossRef] [PubMed]
  22. Bao, W.; Yu, J.; He, Y.; Liu, M.; Yang, X. The diversity analysis and gene function prediction of intestinal bacteria in three equine species. Front. Microbiol. 2022, 13, 973828. [Google Scholar] [CrossRef] [PubMed]
  23. Raspa, F.; Vervuert, I.; Capucchio, M.T.; Colombino, E.; Bergero, D.; Forte, C.; Greppi, M.; Cavallarin, L.; Giribaldi, M.; Antoniazzi, S.; et al. A high-starch vs. high-fibre diet: Effects on the gut environment of the different intestinal compartments of the horse digestive tract. BMC Vet. Res. 2022, 18, 187. [Google Scholar] [CrossRef]
  24. Holman, D.B.; Gzyl, K.E.; Scott, H.; Cara, S.; Prieto, N.; Lopez-Campos, O. Associations between the rumen microbiota and carcass merit and meat quality in beef cattle. Appl. Microbiol. Biotechnol. 2024, 108, 287. [Google Scholar] [CrossRef] [PubMed]
  25. Zhao, X.; Zhang, Y.; Rahman, A.; Chen, M.; Li, N.; Wu, T.; Qi, Y.; Zheng, N.; Zhao, S.; Wang, J. Rumen microbiota succession throughout the perinatal period and its association with postpartum production traits in dairy cows: A review. Anim. Nutr. 2024, 18, 17–26. [Google Scholar] [CrossRef]
  26. Emara Rabee, A.; Lamara, M.; Ishaq, S.L. Gut microbiota of cattle and horses and their use in the production of ethanol and lactic acid from timothy hay. Biofuels 2024, 15, 291–301. [Google Scholar] [CrossRef]
  27. Gao, Q.; He, J.; Wang, J.; Yan, Y.; Liu, L.; Wang, Z.; Shen, W.; Wan, F. Effects of dietary D-lactate levels on rumen fermentation, microflora and metabolomics of beef cattle. Front. Microbiol. 2024, 15, 1348729. [Google Scholar] [CrossRef] [PubMed]
  28. Martinez-Alvaro, M.; Mattock, J.; Gonzalez-Recio, O.; Saborio-Montero, A.; Weng, Z.; Lima, J.; Duthie, C.A.; Dewhurst, R.; Cleveland, M.A.; Watson, M.; et al. Including microbiome information in a multi-trait genomic evaluation: A case study on longitudinal growth performance in beef cattle. Genet. Sel. Evol. 2024, 56, 19. [Google Scholar] [CrossRef]
  29. Jain, M.; Mladova, E.; Dobychina, A.; Kirillova, K.; Shichanina, A.; Anokhin, D.; Scherbakova, L.; Samokhodskaya, L.; Panina, O. Comparison of microbial profiles and viral status along the vagina-cervix-endometrium continuum of infertile patients. Syst. Biol. Reprod. Med. 2023, 69, 310–319. [Google Scholar] [CrossRef]
  30. Tong, F.; Wang, T.; Gao, N.L.; Liu, Z.; Cui, K.; Duan, Y.; Wu, S.; Luo, Y.; Li, Z.; Yang, C.; et al. The microbiome of the buffalo digestive tract. Nat. Commun. 2022, 13, 823. [Google Scholar] [CrossRef]
  31. Varada, V.V.; Kumar, S.; Chhotaray, S.; Tyagi, A.K. Host-specific probiotics feeding influence growth, gut microbiota, and fecal biomarkers in buffalo calves. AMB Express 2022, 12, 118. [Google Scholar] [CrossRef]
  32. Paradiso, R.; Borriello, G.; Bolletti Censi, S.; Salzano, A.; Cimmino, R.; Galiero, G.; Fusco, G.; De Carlo, E.; Campanile, G. Different Non-Structural Carbohydrates/Crude Proteins (NCS/CP) Ratios in Diet Shape the Gastrointestinal Microbiota of Water Buffalo. Vet. Sci. 2021, 8, 96. [Google Scholar] [CrossRef]
  33. Zhang, Z.; Zhao, H.; Chen, X.; Tian, G.; Liu, G.; Cai, J.; Jia, G. Enhancing pig growth and gut health with fermented Jatropha curcas cake: Impacts on microbiota, metabolites, and neurotransmitters. J. Anim. Physi. Anim. Nutr. 2024, 108, 1–15. [Google Scholar] [CrossRef]
  34. Liao, S.F.; Ji, F.; Fan, P.; Denryter, K. Swine Gastrointestinal Microbiota and the Effects of Dietary Amino Acids on Its Composition and Metabolism. Int. J. Mol. Sci. 2024, 25, 1237. [Google Scholar] [CrossRef] [PubMed]
  35. Shao, Y.; Xu, J.; Wang, M.; Ren, Y.; Wei, M.; Tian, B.; Luo, J.; Loor, J.J.; Shi, H. Preliminary Results on the Effects of Soybean Isoflavones on Growth Performance and Ruminal Microbiota in Fattening Goats. Animals 2024, 14, 1188. [Google Scholar] [CrossRef]
  36. Fan, S.; Zheng, M.; Ren, A.; Mao, H.; Long, D.; Yang, L. Effects of High-Concentrate-Induced SARA on Antioxidant Capacity, Immune Levels and Rumen Microbiota and Function in Goats. Animals 2024, 14, 263. [Google Scholar] [CrossRef] [PubMed]
  37. Pan, C.; Li, H.; Mustafa, S.B.; Renqing, C.; Zhang, Z.; Li, J.; Song, T.; Wang, G.; Zhao, W. Coping with extremes: The rumen transcriptome and microbiome co-regulate plateau adaptability of Xizang goat. BMC Genom. 2024, 25, 258. [Google Scholar] [CrossRef] [PubMed]
  38. Manafu, Z.; Zhang, Z.; Malajiang, X.; Abula, S.; Guo, Q.; Wu, Y.; Wusiman, A.; Bake, B. Effects of Alhagi camelorum Fisch polysaccharide from different regions on growth performance and gastrointestinal microbiota of sheep lambs. Front. Pharmacol. 2024, 15, 1379394. [Google Scholar] [CrossRef] [PubMed]
  39. Peng, H.; Chen, P.; Guo, R.; Zhou, Z.; Chen, Y.; Xu, P.; Su, H.; Xiao, Y.; Jiang, H. Regulation of the growth performance and the gastrointestinal microbiota community by the addition of defective pear fermentation to feed of small-tailed Han sheep. Front. Microbiol. 2024, 15, 1358033. [Google Scholar] [CrossRef]
  40. Luo, T.; Li, Y.; Zhang, W.; Liu, J.; Shi, H. Rumen and fecal microbiota profiles associated with immunity of young and adult goats. Front. Immunol. 2022, 13, 978402. [Google Scholar] [CrossRef]
  41. Wang, F.; Sha, Y.; Liu, X.; He, Y.; Hu, J.; Wang, J.; Li, S.; Shao, P.; Chen, X.; Yang, W.; et al. Study of the Interactions between Muscle Fatty Acid Composition, Meat Quality-Related Genes and the Ileum Microbiota in Tibetan Sheep at Different Ages. Foods 2024, 13, 679. [Google Scholar] [CrossRef]
  42. Yu, J.; Cai, L.; Zhang, J.; Yang, A.; Wang, Y.; Zhang, L.; Guan, L.L.; Qi, D. Effects of Thymol Supplementation on Goat Rumen Fermentation and Rumen Microbiota In Vitro. Microorganisms 2020, 8, 1160. [Google Scholar] [CrossRef]
  43. Portincasa, P.; Bonfrate, L.; Vacca, M.; De Angelis, M.; Farella, I.; Lanza, E.; Khalil, M.; Wang, D.Q.H.; Sperandio, M.; Di Ciaula, A. Gut Microbiota and Short Chain Fatty Acids: Implications in Glucose Homeostasis. Int. J. Mol. Sci. 2022, 23, 1105. [Google Scholar] [CrossRef]
  44. Precup, G.; Vodnar, D.-C. Gut Prevotella as a possible biomarker of diet and its eubiotic versus dysbiotic roles: A comprehensive literature review. Brit. J. Nutr. 2019, 122, 131–140. [Google Scholar] [CrossRef] [PubMed]
  45. Wang, J.; Lang, T.; Shen, J.; Dai, J.; Tian, L.; Wang, X. Core Gut Bacteria Analysis of Healthy Mice. Front. Microbiol. 2019, 10, 887. [Google Scholar] [CrossRef]
  46. Lv, X.; Chai, J.; Diao, Q.; Huang, W.; Zhuang, Y.; Zhang, N. The Signature Microbiota Drive Rumen Function Shifts in Goat Kids Introduced to Solid Diet Regimes. Microorganisms 2019, 7, 516. [Google Scholar] [CrossRef]
  47. Chen, Y.; Ni, J.; Li, H. Effect of green tea and mulberry leaf powders on the gut microbiota of chicken. BMC Vet. Res. 2019, 15, 77. [Google Scholar] [CrossRef]
  48. Stevenson, D.M.; Weimer, P.J. Dominance of Prevotella and low abundance of classical ruminal bacterial species in the bovine rumen revealed by relative quantification real-time PCR. Appl. Microbiol. Biot. 2007, 75, 165–174. [Google Scholar] [CrossRef]
  49. Kim, J.N.; Mendez-Garcia, C.; Geier, R.R.; Iakiviak, M.; Chang, J.; Cann, I.; Mackie, R.I. Metabolic networks for nitrogen utilization in Prevotella ruminicola 23. Sci. Rep. 2017, 7, 7851. [Google Scholar] [CrossRef] [PubMed]
  50. Wirth, R.; Kadar, G.; Kakuk, B.; Maroti, G.; Bagi, Z.; Szilagyi, A.; Rakhely, G.; Horvath, J.; Kovacs, K.L. The Planktonic Core Microbiome and Core Functions in the Cattle Rumen by Next Generation Sequencing. Front. Microbiol. 2018, 9, 2285. [Google Scholar] [CrossRef] [PubMed]
  51. Takahashi, N.; Yamada, T. Pathways for amino acid metabolism by Prevotella intermedia and Prevotella nigrescens. Oral Microb. Immun. 2000, 15, 96–102. [Google Scholar] [CrossRef] [PubMed]
  52. Liu, Y.; Zhang, J.; Wang, C.; Guo, G.; Huo, W.; Xia, C.; Chen, L.; Zhang, Y.; Pei, C.; Liu, Q. Effects of guanidinoacetic acid supplementation on lactation performance, nutrient digestion and rumen fermentation in Holstein dairy cows. J. Sci. Food Agric. 2023, 103, 1522–1529. [Google Scholar] [CrossRef] [PubMed]
  53. Elolimy, A.A.; Liang, Y.; Wilachai, K.; Alharthi, A.S.; Paengkoum, P.; Trevisi, E.; Loor, J.J. Residual feed intake in peripartal dairy cows is associated with differences in milk fat yield, ruminal bacteria, biopolymer hydrolyzing enzymes, and circulating biomarkers of immunometabolism. J. Dairy. Sci. 2022, 105, 6654–6669. [Google Scholar] [CrossRef]
  54. Huh, J.W.; Kim, M.J.; Kim, J.; Lee, H.G.; Ryoo, S.B.; Ku, J.L.; Jeong, S.Y.; Park, K.J.; Kim, D.; Kim, J.F.; et al. Enterotypical Prevotella and three novel bacterial biomarkers in preoperative stool predict the clinical outcome of colorectal cancer. Microbiome 2022, 10, 203. [Google Scholar] [CrossRef] [PubMed]
  55. Petersen, L.M.; Bautista, E.J.; Nguyen, H.; Hanson, B.M.; Chen, L.; Lek, S.H.; Sodergren, E.; Weinstock, G.M. Community characteristics of the gut microbiomes of competitive cyclists. Microbiome 2017, 5, 98. [Google Scholar] [CrossRef]
  56. Xia, Y.; Kong, Y.; Huang, H.; Yang, H.E.; Forster, R.; McAllister, T.A. In situ identification and quantification of protein-hydrolyzing ruminal bacteria associated with the digestion of barley and corn grain. Can. J. Microb. 2016, 62, 1063–1067. [Google Scholar] [CrossRef]
  57. Perlman, D.; Martinez-Alvaro, M.; Morais, S.; Altshuler, I.; Hagen, L.H.; Jami, E.; Roehe, R.; Pope, P.B.; Mizrahi, I. Concepts and Consequences of a Core Gut Microbiota for Animal Growth and Development. Annu. Rev. Anim. Biosci. 2022, 10, 177–201. [Google Scholar] [CrossRef] [PubMed]
  58. Moeller, A.H.; Sanders, J.G. Roles of the gut microbiota in the adaptive evolution of mammalian species. Philos. Trans. R. Soc. Lond B Biol. Sci. 2020, 375, 20190597. [Google Scholar] [CrossRef] [PubMed]
  59. Rybarczyk, A.; Boguslawska-Was, E.; Dlubala, A. Effect of BioPlus YC Probiotic Supplementation on Gut Microbiota, Production Performance, Carcass and Meat Quality of Pigs. Animals 2021, 11, 1581. [Google Scholar] [CrossRef]
  60. Fetissov, S.O. Role of the gut microbiota in host appetite control: Bacterial growth to animal feeding behaviour. Nat. Rev. Endocrinol. 2017, 13, 11–25. [Google Scholar] [CrossRef]
  61. Yeoman, C.J.; White, B.A. Gastrointestinal Tract Microbiota and Probiotics in Production Animals. Annu. Rev. Anim. Biosci. 2014, 2, 469–486. [Google Scholar] [CrossRef]
  62. Liu, K.; Zhang, Y.; Yu, Z.; Xu, Q.; Zheng, N.; Zhao, S.; Huang, G.; Wang, J. Ruminal microbiota-host interaction and its effect on nutrient metabolism. Anim. Nutr. 2021, 7, 49–55. [Google Scholar] [CrossRef] [PubMed]
  63. Arsenault, M.; Lillie, B.; Nadeem, K.; Khafipour, E.; Farzan, A. Progression of swine fecal microbiota during early stages of life and its association with performance: A longitudinal study. BMC Microbiol. 2024, 24, 182. [Google Scholar] [CrossRef] [PubMed]
  64. Tu, W.; Nie, W.; Yao, X.; Zhang, J.; Zhang, H.; Di, D.; Li, Z. Growth performance, lipid metabolism, and systemic immunity of weaned piglets were altered by buckwheat protein through the modulation of gut microbiota. Mol. Genet. Genom. 2024, 299, 15. [Google Scholar] [CrossRef] [PubMed]
  65. Moita, V.H.C.; Duarte, M.E.; da Silva, S.N.; Kim, S.W. Supplemental Effects of Functional Oils on the Modulation of Mucosa-Associated Microbiota, Intestinal Health, and Growth Performance of Nursery Pigs. Animals 2021, 11, 1591. [Google Scholar] [CrossRef] [PubMed]
  66. Gardiner, G.E.; Metzler-Zebeli, B.U.; Lawlor, P.G. Impact of Intestinal Microbiota on Growth and Feed Efficiency in Pigs: A Review. Microorganisms 2020, 8, 1886. [Google Scholar] [CrossRef]
  67. Knecht, D.; Cholewinska, P.; Jankowska-Makosa, A.; Czyz, K. Development of Swine’s Digestive Tract Microbiota and Its Relation to Production Indices-A Review. Animals 2020, 10, 527. [Google Scholar] [CrossRef] [PubMed]
  68. Chai, J.; Liu, Z.; Wu, J.; Kang, Y.; Abdelsattar, M.M.; Zhao, W.; Wang, S.; Yang, S.; Deng, F.; Li, Y.; et al. Dietary beta-hydroxybutyric acid improves the growth performance of young ruminants based on rumen microbiota and volatile fatty acid biosynthesis. Front. Microbiol. 2023, 14, 1296116. [Google Scholar] [CrossRef]
  69. Luo, Z.; Liu, T.; Cairang, D.; Cheng, S.; Hu, J.; Shi, B.; Zhu, H.; Chen, H.; Zhang, T.; Yi, X. Oregano Essential Oil as a Natural Plant Additive Affects Growth Performance and Serum Antibody Levels by Regulating the Rumen Microbiota of Calves. Animals 2024, 14, 820. [Google Scholar] [CrossRef]
  70. Li, Y.; Li, X.; Nie, C.; Wu, Y.; Luo, R.; Chen, C.; Niu, J.; Zhang, W. Effects of two strains of Lactobacillus isolated from the feces of calves after fecal microbiota transplantation on growth performance, immune capacity, and intestinal barrier function of weaned calves. Front. Microbiol. 2023, 14, 1249628. [Google Scholar] [CrossRef]
  71. Wu, D.; Zhang, Z.; Shao, K.; Wang, X.; Huang, F.; Qi, J.; Duan, Y.; Jia, Y.; Xu, M. Effects of Sodium Butyrate Supplementation in Milk on the Growth Performance and Intestinal Microbiota of Preweaning Holstein Calves. Animals 2023, 13, 2069. [Google Scholar] [CrossRef]
  72. Cheng, X.; Du, X.; Liang, Y.; Degen, A.A.; Wu, X.; Ji, K.; Gao, Q.; Xin, G.; Cong, H.; Yang, G. Effect of grape pomace supplement on growth performance, gastrointestinal microbiota, and methane production in Tan lambs. Front. Microbiol. 2023, 14, 1264840. [Google Scholar] [CrossRef]
  73. Fu, L.; Wang, L.; Liu, L.; Zhang, L.; Zhou, Z.; Zhou, Y.; Wang, G.; Loor, J.J.; Zhou, P.; Dong, X. Effects of inoculation with active microorganisms derived from adult goats on growth performance, gut microbiota and serum metabolome in newborn lambs. Front. Microbiol. 2023, 14, 1128271. [Google Scholar] [CrossRef]
  74. Xiao, H.; Yan, H.; Tian, P.; Ji, S.; Zhao, W.; Lu, C.; Zhang, Y.; Liu, Y. The effect of early colonized gut microbiota on the growth performance of suckling lambs. Front. Microbiol. 2023, 14, 1273444. [Google Scholar] [CrossRef]
  75. Zheng, G.; Wang, D.; Mao, K.; Wang, M.; Wang, J.; Xun, W.; Huang, S. Exploring the Rumen Microbiota and Serum Metabolite Profile of Hainan Black Goats with Different Body Weights before Weaning. Animals 2024, 14, 425. [Google Scholar] [CrossRef]
  76. Wang, D.; Tang, G.; Zhao, L.; Wang, M.; Chen, L.; Zhao, C.; Liang, Z.; Chen, J.; Cao, Y.; Yao, J. Potential roles of the rectum keystone microbiota in modulating the microbial community and growth performance in goat model. J. Anim. Sci. Biotechnol. 2023, 14, 55. [Google Scholar] [CrossRef] [PubMed]
  77. Yang, Q.; Liu, H.; Jafari, H.; Liu, B.; Wang, Z.; Su, J.; Wang, F.; Yang, G.; Sun, M.; Cheng, J.; et al. Metabolic changes before and after weaning in Dezhou donkey foals in relation to gut microbiota. Front. Microbiol. 2023, 14, 1306039. [Google Scholar] [CrossRef] [PubMed]
  78. Xie, L.; Xing, J.; Qi, X.; Lu, T.; Jin, Y.; Akhtar, M.F.; Li, L.; Liu, G. Effects of Concentrate Feeding Sequence on Growth Performance, Nutrient Digestibility, VFA Production, and Fecal Microbiota of Weaned Donkeys. Animals 2023, 13, 2893. [Google Scholar] [CrossRef] [PubMed]
  79. Shah, H.N.; Collins, D.M. NOTES: Prevotella, a New Genus to Include Bacteroides melaninogenicus and Related Species Formerly Classified in the Genus Bacteroides. Int. J. Syst. Evol. Micr. 1990, 40, 205–208. [Google Scholar] [CrossRef] [PubMed]
  80. Betancur-Murillo, C.L.; Aguilar-Marin, S.B.; Jovel, J. Prevotella: A Key Player in Ruminal Metabolism. Microorganisms 2022, 11, 1. [Google Scholar] [CrossRef] [PubMed]
  81. Avguštin, G.; Ramšak, A.; Peterka, M. Systematics and evolution of ruminal species of the genus Prevotella. Folia Microbiologica 2001, 46, 40–44. [Google Scholar] [CrossRef]
  82. Hitch, T.C.A.; Bisdorf, K.; Afrizal, A.; Riedel, T.; Overmann, J.; Strowig, T.; Clavel, T. A taxonomic note on the genus Prevotella: Description of four novel genera and emended description of the genera Hallella and Xylanibacter. Syst. Appl. Microbiol. 2022, 45, 126354. [Google Scholar] [CrossRef]
  83. Isaacson, R.; Kim, H.B. The intestinal microbiome of the pig. Anim. Health Res. Rev. 2012, 13, 100–109. [Google Scholar] [CrossRef]
  84. Leser, T.D.; Amenuvor, J.Z.; Jensen, T.K.; Lindecrona, R.H.; Boye, M.; Moller, K. Culture-independent analysis of gut bacteria: The pig gastrointestinal tract microbiota revisited. Appl. Environ. Microbiol. 2002, 68, 673–690. [Google Scholar] [CrossRef] [PubMed]
  85. Xie, F.; Jin, W.; Si, H.; Yuan, Y.; Tao, Y.; Liu, J.; Wang, X.; Yang, C.; Li, Q.; Yan, X.; et al. An integrated gene catalog and over 10,000 metagenome-assembled genomes from the gastrointestinal microbiome of ruminants. Microbiome 2021, 9, 137. [Google Scholar] [CrossRef]
  86. Li, Y.; Ma, Q.; Shi, X.; Liu, G.; Wang, C. Integrated multi-omics reveals novel microbe-host lipid metabolism and immune interactions in the donkey hindgut. Front. Immun. 2022, 13, 1003247. [Google Scholar] [CrossRef]
  87. Looft, T.; Allen, H.K.; Cantarel, B.L.; Levine, U.Y.; Bayles, D.O.; Alt, D.P.; Henrissat, B.; Stanton, T.B. Bacteria, phages and pigs: The effects of in-feed antibiotics on the microbiome at different gut locations. ISME J. 2014, 8, 1566–1576. [Google Scholar] [CrossRef] [PubMed]
  88. Wang, X.; Tsai, T.; Deng, F.; Wei, X.; Chai, J.; Knapp, J.; Apple, J.; Maxwell, C.V.; Lee, J.A.; Li, Y.; et al. Longitudinal investigation of the swine gut microbiome from birth to market reveals stage and growth performance associated bacteria. Microbiome 2019, 7, 109. [Google Scholar] [CrossRef]
  89. Mach, N.; Berri, M.; Estellé, J.; Levenez, F.; Lemonnier, G.; Denis, C.; Leplat, J.-J.; Chevaleyre, C.; Billon, Y.; Doré, J.; et al. Early-life establishment of the swine gut microbiome and impact on host phenotypes. Environ. Microbiol. Rep. 2015, 7, 554–569. [Google Scholar] [CrossRef]
  90. Guevarra, R.B.; Hong, S.H.; Cho, J.H.; Kim, B.R.; Shin, J.; Lee, J.H.; Kang, B.N.; Kim, Y.H.; Wattanaphansak, S.; Isaacson, R.E.; et al. The dynamics of the piglet gut microbiome during the weaning transition in association with health and nutrition. J. Anim. Sci. Biotechnol. 2018, 9, 54. [Google Scholar] [CrossRef]
  91. Han, G.G.; Lee, J.Y.; Jin, G.D.; Park, J.; Choi, Y.H.; Chae, B.J.; Kim, E.B.; Choi, Y.J. Evaluating the association between body weight and the intestinal microbiota of weaned piglets via 16S rRNA sequencing. Appl. Microbiol. Biotechnol. 2017, 101, 5903–5911. [Google Scholar] [CrossRef] [PubMed]
  92. Munyaka, P.M.; Blanc, F.; Estelle, J.; Lemonnier, G.; Leplat, J.J.; Rossignol, M.N.; Jardet, D.; Plastow, G.; Billon, Y.; Willing, B.P.; et al. Discovery of Predictors of Mycoplasma hyopneumoniae Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis. Microorganisms 2020, 8, 1151. [Google Scholar] [CrossRef]
  93. Furman, O.; Shenhav, L.; Sasson, G.; Kokou, F.; Honig, H.; Jacoby, S.; Hertz, T.; Cordero, O.X.; Halperin, E.; Mizrahi, I. Stochasticity constrained by deterministic effects of diet and age drive rumen microbiome assembly dynamics. Nat. Commun. 2020, 11, 1904. [Google Scholar] [CrossRef]
  94. Fehlner-Peach, H.; Magnabosco, C.; Raghavan, V.; Scher, J.U.; Tett, A.; Cox, L.M.; Gottsegen, C.; Watters, A.; Wiltshire-Gordon, J.D.; Segata, N.; et al. Distinct Polysaccharide Utilization Profiles of Human Intestinal Prevotella copri Isolates. Cell Host Microbe 2019, 26, 680–690.e685. [Google Scholar] [CrossRef]
  95. Liang, J.; Fang, W.; Wang, Q.; Zubair, M.; Zhang, G.; Ma, W.; Cai, Y.; Zhang, P. Metagenomic analysis of community, enzymes and metabolic pathways during corn straw fermentation with rumen microorganisms for volatile fatty acid production. Bioresour. Technol. 2021, 342, 126004. [Google Scholar] [CrossRef]
  96. Wu, Q.-C.; Wang, W.-K.; Zhang, F.; Li, W.-J.; Wang, Y.-L.; Lv, L.-K.; Yang, H.-J. Dietary Cysteamine Supplementation Remarkably Increased Feed Efficiency and Shifted Rumen Fermentation toward Glucogenic Propionate Production via Enrichment of Prevotella in Feedlot Lambs. Microorganisms 2022, 10, 1105. [Google Scholar] [CrossRef]
  97. Queipo-Ortuno, M.I.; Seoane, L.M.; Murri, M.; Pardo, M.; Gomez-Zumaquero, J.M.; Cardona, F.; Casanueva, F.; Tinahones, F.J. Gut microbiota composition in male rat models under different nutritional status and physical activity and its association with serum leptin and ghrelin levels. PLoS ONE 2013, 8, e65465. [Google Scholar] [CrossRef] [PubMed]
  98. Cui, Y.; Liu, H.; Gao, Z.; Xu, J.; Liu, B.; Guo, M.; Yang, X.; Niu, J.; Zhu, X.; Ma, S.; et al. Whole-plant corn silage improves rumen fermentation and growth performance of beef cattle by altering rumen microbiota. Appl. Microbiol. Biotechnol. 2022, 106, 4187–4198. [Google Scholar] [CrossRef] [PubMed]
  99. Mansilla, F.I.; Ficoseco, C.A.; Miranda, M.H.; Puglisi, E.; Nader-Macias, M.E.F.; Vignolo, G.M.; Fontana, C.A. Administration of probiotic lactic acid bacteria to modulate fecal microbiome in feedlot cattle. Sci. Rep. 2022, 12, 12957. [Google Scholar] [CrossRef]
  100. Peng, Q.-h.; Cheng, L.; Kang, K.; Tian, G.; Al-Mamun, M.; Xue, B.; Wang, L.-z.; Zou, H.-w.; Gicheha, M.G.; Wang, Z.-s. Effects of yeast and yeast cell wall polysaccharides supplementation on beef cattle growth performance, rumen microbial populations and lipopolysaccharides production. J. Integr. Agric. 2020, 19, 810–819. [Google Scholar] [CrossRef]
  101. Huang, J.; Wu, T.; Sun, X.; Zou, C.; Yang, Y.; Cao, Y.; Yang, Y.; Wasim Iqbal, M.; Lin, B. Effect of replacing conventional feeds with tropical agricultural by-products on the growth performance, nutrient digestibility and ruminal microbiota of water buffaloes. J. Anim. Physiol. Anim. Nutr. 2020, 104, 1034–1042. [Google Scholar] [CrossRef] [PubMed]
  102. Zhang, Z.; Li, F.; Ma, X.; Li, F.; Wang, Z. Effects of Barley Starch Level in Diet on Fermentation and Microflora in Rumen of Hu Sheep. Animals 2022, 12, 1941. [Google Scholar] [CrossRef] [PubMed]
  103. Rehemujiang, H.; Yusuf, H.A.; Ma, T.; Diao, Q.; Kong, L.; Kang, L.; Tu, Y. Fermented cottonseed and rapeseed meals outperform soybean meal in improving performance, rumen fermentation, and bacterial composition in Hu sheep. Front. Microbiol. 2023, 14, 1119887. [Google Scholar] [CrossRef] [PubMed]
  104. Wang, J.; Zhao, K.; Li, M.; Fan, H.; Wang, M.; Xia, S.; Chen, Y.; Bai, X.; Liu, Z.; Ni, J.; et al. A Preliminary Study of the Potential Molecular Mechanisms of Individual Growth and Rumen Development in Calves with Different Feeding Patterns. Microorganisms 2023, 11, 2423. [Google Scholar] [CrossRef]
  105. Zhang, X.; Han, L.; Gui, L.; Raza, S.H.A.; Hou, S.; Yang, B.; Wang, Z.; Ma, Y.; Makhlof, R.T.M.; Alhuwaymil, Z.; et al. Metabolome and microbiome analysis revealed the effect mechanism of different feeding modes on the meat quality of Black Tibetan sheep. Front. Microbiol. 2022, 13, 1076675. [Google Scholar] [CrossRef]
  106. Hu, R.; Wu, S.; Li, B.; Tan, J.; Yan, J.; Wang, Y.; Tang, Z.; Liu, M.; Fu, C.; Zhang, H.; et al. Dietary ferulic acid and vanillic acid on inflammation, gut barrier function and growth performance in lipopolysaccharide-challenged piglets. Anim. Nutr. 2022, 8, 144–152. [Google Scholar] [CrossRef]
  107. Tett, A.; Pasolli, E.; Masetti, G.; Ercolini, D.; Segata, N. Prevotella diversity, niches and interactions with the human host. Nat. Rev. Microb. 2021, 19, 585–599. [Google Scholar] [CrossRef]
  108. Yeoh, Y.K.; Sun, Y.; Ip, L.Y.T.; Wang, L.; Chan, F.K.L.; Miao, Y.; Ng, S.C. Prevotella species in the human gut is primarily comprised of Prevotella copri, Prevotella stercorea and related lineages. Sci. Rep. 2022, 12, 9055. [Google Scholar] [CrossRef]
  109. Hjorth, M.F.; Blaedel, T.; Bendtsen, L.Q.; Lorenzen, J.K.; Holm, J.B.; Kiilerich, P.; Roager, H.M.; Kristiansen, K.; Larsen, L.H.; Astrup, A. Prevotella-to-Bacteroides ratio predicts body weight and fat loss success on 24-week diets varying in macronutrient composition and dietary fiber: Results from a post-hoc analysis. Int. J. Obes. 2019, 43, 149–157. [Google Scholar] [CrossRef]
  110. Hjorth, M.F.; Christensen, L.; Kjølbæk, L.; Larsen, L.H.; Roager, H.M.; Kiilerich, P.; Kristiansen, K.; Astrup, A. Pretreatment Prevotella-to-Bacteroides ratio and markers of glucose metabolism as prognostic markers for dietary weight loss maintenance. Eur. J. Clin. Nutr. 2020, 74, 338–347. [Google Scholar] [CrossRef]
  111. Hereu, M.; Ramos-Romero, S.; Marin-Valls, R.; Amezqueta, S.; Miralles-Perez, B.; Romeu, M.; Mendez, L.; Medina, I.; Torres, J.L. Combined Buckwheat d-Fagomine and Fish Omega-3 PUFAs Stabilize the Populations of Gut Prevotella and Bacteroides While Reducing Weight Gain in Rats. Nutrients 2019, 11, 2606. [Google Scholar] [CrossRef]
  112. Yan, H.; Cao, S.; Li, Y.; Zhang, H.; Liu, J. Reduced meal frequency alleviates high-fat diet-induced lipid accumulation and inflammation in adipose tissue of pigs under the circumstance of fixed feed allowance. Eur. J. Nutr. 2020, 59, 595–608. [Google Scholar] [CrossRef]
  113. Conte, G.; Dimauro, C.; Daghio, M.; Serra, A.; Mannelli, F.; McAmmond, B.M.; Van Hamme, J.D.; Buccioni, A.; Viti, C.; Mantino, A.; et al. Exploring the relationship between bacterial genera and lipid metabolism in bovine rumen. Animal 2022, 16, 100520. [Google Scholar] [CrossRef]
  114. Hu, R.; Zou, H.; Wang, H.; Wang, Z.; Wang, X.; Ma, J.; Shah, A.M.; Peng, Q.; Xue, B.; Wang, L.; et al. Dietary Energy Levels Affect Rumen Bacterial Populations that Influence the Intramuscular Fat Fatty Acids of Fattening Yaks (Bos grunniens). Animals 2020, 10, 1474. [Google Scholar] [CrossRef]
  115. Holman, D.B.; Brunelle, B.W.; Trachsel, J.; Allen, H.K. Meta-analysis To Define a Core Microbiota in the Swine Gut. mSystems 2017, 2, e00004-17. [Google Scholar] [CrossRef]
  116. Wang, Y.; Wang, S.; Zhu, C.; Cao, H.; Zhang, Z.; Zhao, E. The Association Between Immune Characteristic and Clinical Pathology in Chinese Patients with Adenocarcinoma of Esophagogastric Junction. Cancer Manag. Res. 2020, 12, 3259–3269. [Google Scholar] [CrossRef]
  117. Chen, C.; Fang, S.; Wei, H.; He, M.; Fu, H.; Xiong, X.; Zhou, Y.; Wu, J.; Gao, J.; Yang, H.; et al. Prevotella copri increases fat accumulation in pigs fed with formula diets. Microbiome 2021, 9, 175. [Google Scholar] [CrossRef]
  118. Torres, N.; Tobon-Cornejo, S.; Velazquez-Villegas, L.A.; Noriega, L.G.; Aleman-Escondrillas, G.; Tovar, A.R. Amino Acid Catabolism: An Overlooked Area of Metabolism. Nutrients 2023, 15, 3378. [Google Scholar] [CrossRef]
  119. Pedersen, H.K.; Gudmundsdottir, V.; Nielsen, H.B.; Hyotylainen, T.; Nielsen, T.; Jensen, B.A.H.; Forslund, K.; Hildebrand, F.; Prifti, E.; Falony, G.; et al. Human gut microbes impact host serum metabolome and insulin sensitivity. Nature 2016, 535, 376–381. [Google Scholar] [CrossRef]
  120. Xue, M.Y.; Sun, H.Z.; Wu, X.H.; Liu, J.X.; Guan, L.L. Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance. Microbiome 2020, 8, 64. [Google Scholar] [CrossRef]
  121. Windey, K.; De Preter, V.; Verbeke, K. Relevance of protein fermentation to gut health. Mol. Nutr. Food. Res. 2012, 56, 184–196. [Google Scholar] [CrossRef]
  122. Holmes, C.D.; Prather, M.J.; Søvde, O.A.; Myhre, G. Future methane, hydroxyl, and their uncertainties: Key climate and emission parameters for future predictions. Atmos. Chem. Phys. 2013, 13, 285–302. [Google Scholar] [CrossRef]
  123. Johnson, K.A.; Johnson, D.E. Methane emissions from cattle. J. Anim. Sci. 1995, 73, 2483–2492. [Google Scholar] [CrossRef] [PubMed]
  124. Yan, T.; Mayne, C.S.; Gordon, F.G.; Porter, M.G.; Agnew, R.E.; Patterson, D.C.; Ferris, C.P.; Kilpatrick, D.J. Mitigation of enteric methane emissions through improving efficiency of energy utilization and productivity in lactating dairy cows. J. Dairy Sci. 2010, 93, 2630–2638. [Google Scholar] [CrossRef] [PubMed]
  125. Shinkai, T.; Takizawa, S.; Fujimori, M.; Mitsumori, M. Invited Review—The role of rumen microbiota in enteric methane mitigation for sustainable ruminant production. Anim. Biosci. 2024, 37, 360–369. [Google Scholar] [CrossRef] [PubMed]
  126. Strobel, H.J. Vitamin B12-dependent propionate production by the ruminal bacterium Prevotella ruminicola 23. Appl. Environ. Microbiol. 1992, 58, 2331–2333. [Google Scholar] [CrossRef] [PubMed]
  127. Purushe, J.; Fouts, D.E.; Morrison, M.; White, B.A.; Mackie, R.I.; North American Consortium for Rumen Bacteria; Coutinho, P.M.; Henrissat, B.; Nelson, K.E. Comparative genome analysis of Prevotella ruminicola and Prevotella bryantii: Insights into their environmental niche. Microb. Ecol. 2010, 60, 721–729. [Google Scholar] [CrossRef]
  128. Roehe, R.; Dewhurst, R.J.; Duthie, C.A.; Rooke, J.A.; McKain, N.; Ross, D.W.; Hyslop, J.J.; Waterhouse, A.; Freeman, T.C.; Watson, M.; et al. 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 Genet. 2016, 12, e1005846. [Google Scholar] [CrossRef]
  129. Huyghebaert, G.; Ducatelle, R.; Van Immerseel, F. An update on alternatives to antimicrobial growth promoters for broilers. Vet. J. 2011, 187, 182–188. [Google Scholar] [CrossRef] [PubMed]
  130. Yang, H.; Yang, M.; Fang, S.; Huang, X.; He, M.; Ke, S.; Gao, J.; Wu, J.; Zhou, Y.; Fu, H.; et al. Evaluating the profound effect of gut microbiome on host appetite in pigs. BMC Microbiol. 2018, 18, 215. [Google Scholar] [CrossRef]
  131. Chiquette, J.; Allison, M.J.; Rasmussen, M.A. Prevotella bryantii 25A Used as a Probiotic in Early-Lactation Dairy Cows: Effect on Ruminal Fermentation Characteristics, Milk Production, and Milk Composition1. J. Dairy Sci. 2008, 91, 3536–3543. [Google Scholar] [CrossRef] [PubMed]
  132. Fraga, M.; Fernández, S.; Perelmuter, K.; Pomiés, N.; Cajarville, C.; Zunino, P. The use of Prevotella bryantii 3C5 for modulation of the ruminal environment in an ovine model. Br. J. Microbiol. 2018, 49, 101–106. [Google Scholar] [CrossRef] [PubMed]
Animals 14 01965 g001
Figure 1. Phylogenetic tree based on 16S rRNA gene sequence of Prevotella spp., The tree was constructed with MEGA7 by the neighbor-joining (NJ) method with 1000 bootstrap replicates. Branches corresponding to partitions reproduced in less than 50% of bootstrap replicates were collapsed.
Figure 1. Phylogenetic tree based on 16S rRNA gene sequence of Prevotella spp., The tree was constructed with MEGA7 by the neighbor-joining (NJ) method with 1000 bootstrap replicates. Branches corresponding to partitions reproduced in less than 50% of bootstrap replicates were collapsed.
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Animals 14 01965 g002
Figure 2. Schematic representation of factors influencing the gastrointestinal microbiota of domestic animals, and the hypothesized role of Prevotella in regulating livestock growth performance traits including weight gain, increased feed intake, and metabolism. Note: GI stands for gastrointestinal.
Figure 2. Schematic representation of factors influencing the gastrointestinal microbiota of domestic animals, and the hypothesized role of Prevotella in regulating livestock growth performance traits including weight gain, increased feed intake, and metabolism. Note: GI stands for gastrointestinal.
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Animals 14 01965 g003
Figure 3. Possible mechanisms of Prevotella that regulate host fat deposition. SCFA, Short-chain fatty acids.
Figure 3. Possible mechanisms of Prevotella that regulate host fat deposition. SCFA, Short-chain fatty acids.
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Table 1. Feeding strategies to improve gastrointestinal Prevotella in livestock and their relationship with growth performance traits.
Table 1. Feeding strategies to improve gastrointestinal Prevotella in livestock and their relationship with growth performance traits.
Feed TypeEffect on MicrobiotaOutcomesAnimal SpeciesReferences
Whole-plant corn silageImproved the Prevotellaceae_UCG-003
✧
Positively regulated several beneficial biological processes including amino acid metabolism, carbohydrate metabolism, energy metabolism, genetic information processing, lipid metabolism, membrane transport, metabolism of cofactors and vitamins, nucleotide metabolism, replication and repair, and translation; Significantly increased daily gain and decreased the feed intake-to-weight gain ratio
Beef cattle[98]
Yeast and yeast cell wall polysaccharidesPrevotella brevis B1
4; Prevotella bryantii GA33; Prevotella ruminicola 23
✧
Increased average daily weight gain, improved growth performance
Beef cattle[100]
CysteaminePrevotella
✧
Enhanced growth performance and rumen fermentation
Lambs[96]
Lactic acid bacteria probioticsImproved the Prevotella copri; Prevotella stercorea
✧
Aid the host in the digestion of complex carbohydrates such as starch
Cattle[99]
Concentrate plus hay feeding patternPrevotella multisaccharivorax
✧
More helpful to the digestion of carbohydrates and alleviated inflammation. Simultaneously, the synergistic effect with the host could hydrolyze lipid substances more efficiently and promote the absorption of fat by the organism.
Calves[104]
Lyophilized probiotic formulation (Limosilactobacillus reuteri BF-E7 and Ligilactobacillus salivarius BF-17)Increased concentration of Prevotella
✧
Significant increase in final body weight, average daily weight gain, average dry matter intake, and structural growth indicators
Buffalo calves[31]
Ensiled tomato peelPrevotellaceae_Uncultured Genus-004;
✧
Increased microbial diversity in the gastrointestinal tract and increased ash digestibility
Buffalo[32]
Cassava residue and dried distiller’s grainReduced Prevotella richness
✧
Significant increase in average daily weight gain and improved growth performance
Buffalo[101]
Corn gluten and palm kernel cakeIncreased Prevotella load
✧
Reduced average daily weight gain and digestibility
Buffalo[101]
The substitution of 33% corn starch with barley starch in the dietPrevotella brevis
✧
Improved rumen environment and feed efficiency
Sheep[102]
Fermented total mixed ration containing cottonseed mealPrevotella
✧
Increased volatile fatty acids yield, increased average daily weight gain, and promoted the performance
Sheep[103]
Thymol SupplementationPrevotella melaninogenica; Prevotella ruminicola
✧
Detrimental to the breakdown of proteins and fibrous material
Goats[42]
Indoor feeding regimesPrevotella
✧
Regulate amino acids, lipid and carbohydrate metabolism in muscle tissues and improve meat quality
Tibetan sheep[105]
Yeast polysaccharidePrevotella
✧
The metabolic mechanisms responsible for the growth-promoting and immune-regulating effects
Donkeys[15]
Corn straw diets were fed ad libitum in addition to a commercial concentrate dietPrevotella
✧
Involved in lipid metabolism and immune response
Donkeys[86]
Tryptophan, GlutamatePrevotellaceae-NK3B31
group, and UCG-005
✧
Improve gut health by stabilizing the intestinal environment and immune state
Pigs[34]
Vanillic acidReduced Prevotella 9, Prevotella 7, Prevotella 2 and Prevotella 1 abundance
✧
Increased the final body weight and average daily gain
Piglets[106]
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Kou, X.; Ma, Q.; Liu, Y.; Khan, M.Z.; Wu, B.; Chen, W.; Liu, X.; Wang, C.; Li, Y. Exploring the Effect of Gastrointestinal Prevotella on Growth Performance Traits in Livestock Animals. Animals 2024, 14, 1965. https://doi.org/10.3390/ani14131965

AMA Style

Kou X, Ma Q, Liu Y, Khan MZ, Wu B, Chen W, Liu X, Wang C, Li Y. Exploring the Effect of Gastrointestinal Prevotella on Growth Performance Traits in Livestock Animals. Animals. 2024; 14(13):1965. https://doi.org/10.3390/ani14131965

Chicago/Turabian Style

Kou, Xiyan, Qingshan Ma, Yihong Liu, Muhammad Zahoor Khan, Boxian Wu, Wenting Chen, Xiaotong Liu, Changfa Wang, and Yan Li. 2024. "Exploring the Effect of Gastrointestinal Prevotella on Growth Performance Traits in Livestock Animals" Animals 14, no. 13: 1965. https://doi.org/10.3390/ani14131965

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