1
|
Ma Z, Wang W, Zhang D, Zhang Y, Zhao Y, Li X, Zhao L, Cheng J, Xu D, Yang X, Liu J, He L, Chen Z, Gong P, Zhang X. Polymorphisms of PLIN1 and MOGAT1 genes and their association with feed efficiency in Hu sheep. Gene 2024; 897:148072. [PMID: 38081333 DOI: 10.1016/j.gene.2023.148072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/22/2023] [Accepted: 12/08/2023] [Indexed: 12/21/2023]
Abstract
Feed cost accounts for a high proportion of sheep production, and improving sheep's utilization of feed will reduce production costs and improve economic benefits. The purpose of this study was to investigate the expression characteristics of PLIN1 and MOGAT1 genes and the relationship between their polymorphisms and feed efficiency traits in Hu sheep, and to find molecular Genetic marker that can be used in breeding. The expression levels of PLIN1 and MOGAT1 genes in various tissues were determined using quantitative real-time PCR (qRT-PCR). The results showed that PLIN1 and MOGAT1 genes were widely expressed in heart, liver, spleen, lungs, kidneys, rumen, duodenum, muscle, lymph, and tail fat. The PLIN1 gene had the highest expression level in in the tail fat compared to the other nine tissues. The expression levels of MOGAT1 gene in liver, tail fat, lung and heart was significantly higher than in kidney, muscle and lymph. The expression level of MOGAT1 was lowest in muscle compared to the other tissues (heart, liver, spleen, lung, rumen and tail fat). We recorded the body weight (BW80 and BW180) and feed intake (FI) information of 985 male Hu sheep at 80 and 180 days of age, and calculated the daily average feed intake (ADFI), average daily gain (ADG), and feed conversion rate (FCR) from 80 to 180 days of age. Two intronic mutations, g.18517910 A > G and g.224856118 G > C, were identified in PLIN1 and MOGAT1 genes by PCR amplification and Sanger sequencing. MassARRAY ® SNP detection technology was used to genotype the DNA of 985 Hu sheep and analyze its association with feed efficiency traits. The results showed that the SNP g.18517910 A > G was significantly associated with BW80, BW180, FI, ADFI and FCR (P < 0.05), while SNP g.2248561118 G > C was significantly associated with FCR (P < 0.05). Meanwhile, significant differences were also observed in different combinations of genotypes (P < 0.05). Therefore, these two polymorphic loci can serve as candidate molecular markers for improving feed utilization efficiency in Hu sheep.
Collapse
Affiliation(s)
- Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Weimin Wang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Yukun Zhang
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Yuan Zhao
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Xiaolong Li
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Liming Zhao
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Jiangbo Cheng
- The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou Gansu 730020, China
| | - Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Jia Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Lijuan He
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Zhanyu Chen
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Ping Gong
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Science, Urumqi, 830057, China.
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
| |
Collapse
|
2
|
Omondi VO, Bosire GO, Onyari JM, Kibet C, Mwasya S, Onyonyi VN, Getahun MN. Multi-omics analyses reveal rumen microbes and secondary metabolites that are unique to livestock species. mSystems 2024; 9:e0122823. [PMID: 38294243 PMCID: PMC10878066 DOI: 10.1128/msystems.01228-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 12/21/2023] [Indexed: 02/01/2024] Open
Abstract
Ruminant livestock, including cattle, sheep, goats, and camels, possess a distinctive digestive system with complex microbiota communities critical for feed conversion and secondary metabolite production, including greenhouse gases. Yet, there is limited knowledge regarding the diversity of rumen microbes and metabolites benefiting livestock physiology, productivity, climate impact, and defense mechanisms across ruminant species. In this study, we utilized metataxonomics and metabolomics data from four evolutionarily distinct livestock species, which had fed on diverse plant materials like grass, shrubs, and acacia trees, to uncover the unique signature microbes and secondary metabolites. We established the presence of a distinctive anaerobic fungus called Oontomyces in camels, while cattle exhibited a higher prevalence of unique microbes like Psychrobacter, Anaeromyces, Cyllamyces, and Orpinomyces. Goats hosted Cleistothelebolus, and Liebetanzomyces was unique to sheep. Furthermore, we identified a set of conserved core microbes, including Prevotella, Rickenellaceae, Cladosporium, and Pecoramyces, present in all the ruminants, irrespective of host genetics and dietary composition. This underscores their indispensable role in maintaining crucial physiological functions. Regarding secondary metabolites, camel's rumen is rich in organic acids, goat's rumen is rich in alcohols and hydrocarbons, sheep's rumen is rich in indoles, and cattle's rumen is rich in sesquiterpenes. Additionally, linalool propionate and terpinolene were uniquely found in sheep rumen, while valencene was exclusive to cattle. This may suggest the existence of species-specific microbes and metabolites that require host rumen-microbes' environment balance. These results have implications for manipulating the rumen environment to target specific microbes and secondary metabolite networks, thereby enhancing livestock productivity, resilience, reducing susceptibility to vectors, and environmentally preferred livestock husbandry.IMPORTANCERumen fermentation, which depends on feed components and rumen microbes, plays a crucial role in feed conversion and the production of various metabolites important for the physiological functions, health, and environmental smartness of ruminant livestock, in addition to providing food for humans. However, given the complexity and variation of the rumen ecosystem and feed of these various livestock species, combined with inter-individual differences between gut microbial communities, how they influence the rumen secondary metabolites remains elusive. Using metagenomics and metabolomics approaches, we show that each livestock species has a signature microbe(s) and secondary metabolites. These findings may contribute toward understanding the rumen ecosystem, microbiome and metabolite networks, which may provide a gateway to manipulating rumen ecosystem pathways toward making livestock production efficient, sustainable, and environmentally friendly.
Collapse
Affiliation(s)
- Victor O. Omondi
- Animal Health Theme and Behavioural and Chemical Ecology Unit, International Centre of Insect Physiology and Ecology (icipe), Nairobi, Kenya
- Department of Chemistry, University of Nairobi (U.o.N), Nairobi, Kenya
| | | | - John M. Onyari
- Department of Chemistry, University of Nairobi (U.o.N), Nairobi, Kenya
| | - Caleb Kibet
- Animal Health Theme and Behavioural and Chemical Ecology Unit, International Centre of Insect Physiology and Ecology (icipe), Nairobi, Kenya
| | - Samuel Mwasya
- Animal Health Theme and Behavioural and Chemical Ecology Unit, International Centre of Insect Physiology and Ecology (icipe), Nairobi, Kenya
| | - Vanessa N. Onyonyi
- Animal Health Theme and Behavioural and Chemical Ecology Unit, International Centre of Insect Physiology and Ecology (icipe), Nairobi, Kenya
| | - Merid N. Getahun
- Animal Health Theme and Behavioural and Chemical Ecology Unit, International Centre of Insect Physiology and Ecology (icipe), Nairobi, Kenya
| |
Collapse
|
3
|
Qi W, Xue MY, Jia MH, Zhang S, Yan Q, Sun HZ. - Invited Review - Understanding the functionality of the rumen microbiota: searching for better opportunities for rumen microbial manipulation. Anim Biosci 2024; 37:370-384. [PMID: 38186256 PMCID: PMC10838668 DOI: 10.5713/ab.23.0308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/03/2023] [Indexed: 01/09/2024] Open
Abstract
Rumen microbiota play a central role in the digestive process of ruminants. Their remarkable ability to break down complex plant fibers and proteins, converting them into essential organic compounds that provide animals with energy and nutrition. Research on rumen microbiota not only contributes to improving animal production performance and enhancing feed utilization efficiency but also holds the potential to reduce methane emissions and environmental impact. Nevertheless, studies on rumen microbiota face numerous challenges, including complexity, difficulties in cultivation, and obstacles in functional analysis. This review provides an overview of microbial species involved in the degradation of macromolecules, the fermentation processes, and methane production in the rumen, all based on cultivation methods. Additionally, the review introduces the applications, advantages, and limitations of emerging omics technologies such as metagenomics, metatranscriptomics, metaproteomics, and metabolomics, in investigating the functionality of rumen microbiota. Finally, the article offers a forward-looking perspective on the new horizons and technologies in the field of rumen microbiota functional research. These emerging technologies, with continuous refinement and mutual complementation, have deepened our understanding of rumen microbiota functionality, thereby enabling effective manipulation of the rumen microbial community.
Collapse
Affiliation(s)
- Wenlingli Qi
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Ming-Yuan Xue
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Ming-Hui Jia
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shuxian Zhang
- CAS Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Qiongxian Yan
- CAS Key Laboratory of Agro-Ecological Processes in Subtropical Region, Hunan Provincial Key Laboratory of Animal Nutritional Physiology and Metabolic Process, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Hui-Zeng Sun
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
| |
Collapse
|
4
|
Wang H, Meng L, Mi L. Effects of Leymus chinensis hay and alfalfa hay on growth performance, rumen microbiota, and untargeted metabolomics of meat in lambs. Front Vet Sci 2023; 10:1256903. [PMID: 38033638 PMCID: PMC10687458 DOI: 10.3389/fvets.2023.1256903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/24/2023] [Indexed: 12/02/2023] Open
Abstract
Objective The objective of this study was to compare the effects of Leymus chinensis hay and alfalfa hay as the roughage on the rumen bacterial and the meat metabolomics in lambs. Methods Fourteen male lambs were randomly assigned to two dietary treatments (one group was fed with concentrate and Leymus chinensis hay; another was fed with concentrate and alfalfa hay) with seven replicates per treatment. The feeding experiment lasted for 60 days. Lambs were slaughtered at the end of the feeding experiment. Growth performance, carcass performance, and weights of various viscera were determined. The longissimus dorsi and rumen contents were collected for untargeted metabolomics and 16S rDNA amplicon sequencing analysis, respectively. Results The lambs fed with alfalfa hay showed a significantly increased in average daily gain, carcass weight, dressing percentage, loin-eye area, and kidney weight. Feeding Leymus chinensis hay and alfalfa hay diets resulted in different meat metabolite deposition and rumen bacterial communities in the lambs. The relative abundance of phyla Fibrobacteres, Bacteroidetes, and Spirochaetes were greater in the Leymus Chinensis hay group, while, the relative abundance of Firmicutes, Proteobacteria, Fusobacteria, and Verrucomicrobia were greater in the alfalfa hay group. Based on untargeted metabolomics, the main altered metabolic pathways included alanine, aspartate and glutamate metabolism, D-glutamine and D-glutamate metabolism, phenylalanine metabolism, nitrogen metabolism, and tyrosine metabolism. Several bacteria genera including BF31, Alistipes, Faecalibacterium, Eggerthella, and Anaeroplasma were significantly correlated with growth performance and meat metabolites. Conclusion Alfalfa hay improved growth performance and carcass characteristics in lambs. Leymus chinensis hay and alfalfa hay caused different meat metabolite deposition by modifying the rumen bacterial community. These findings will be beneficial to future forage utilization for sheep growth, carcass performance, and meat quality improvement.
Collapse
Affiliation(s)
| | | | - Lan Mi
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Key Laboratory of Forage and Endemic Crop Biotechnology, Ministry of Education, School of Life Sciences, Inner Mongolia University, Hohhot, China
| |
Collapse
|
5
|
Jiang M, Zhang X, Wang K, Datsomor O, Li X, Lin M, Feng C, Zhao G, Zhan K. Effect of Slow-Release Urea Partial Replacement of Soybean Meal on Lactation Performance, Heat Shock Signal Molecules, and Rumen Fermentation in Heat-Stressed Mid-Lactation Dairy Cows. Animals (Basel) 2023; 13:2771. [PMID: 37685035 PMCID: PMC10486772 DOI: 10.3390/ani13172771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/19/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
This study aimed to assess the effects of partially substituting soybean meal in the diet with slow-release urea (SRU) on the lactation performance, heat shock signal molecules, and environmental sustainability of heat-stressed lactating cows in the middle stage of lactation. In this study, 30 healthy Holstein lactating dairy cattle with a similar milk yield of 22.8 ± 3.3 kg, days in milk of 191.14 ± 27.24 days, and 2.2 ± 1.5 parity were selected and randomly allocated into two groups. The constituents of the two treatments were (1) basic diet plus 500 g soybean meal (SM) for the SM group and (2) basic diet plus 100 g slow-release urea and 400 g corn silage for the SRU group. The average temperature humidity index (THI) during the experiment was 84.47, with an average THI of >78 from day 1 to day 28, indicating the cow experienced moderate heat stress conditions. Compared with the SM group, the SRU group showed decreasing body temperature and respiratory rate trends at 20:00 (p < 0.1). The substitution of SM with SRU resulted in an increasing trend in milk yield, with a significant increase of 7.36% compared to the SM group (p < 0.1). Compared to the SM group, AST, ALT, and γ-GT content levels were significantly increased (p < 0.05). Notably, the levels of HSP-70 and HSP-90α were significantly reduced (p < 0.05). The SRU group showed significantly increased acetate and isovalerate concentrations compared with the SM group (p < 0.05). The prediction results indicate that the SRU group exhibits a significant decrease in methane (CH4) emissions when producing 1 L of milk compared to the SM group (p < 0.05). In summary, dietary supplementation with SRU tended to increase the milk yield and rumen fermentation and reduce plasma heat shock molecules in mid-lactation, heat-stressed dairy cows. In the hot summer, using SRU instead of some soybean meal in the diet alleviates the heat stress of dairy cows and reduces the production of CH4.
Collapse
Affiliation(s)
- Maocheng Jiang
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
| | - Xuelei Zhang
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
| | - Kexin Wang
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
| | - Osmond Datsomor
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
| | - Xue Li
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
| | - Miao Lin
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Chunyan Feng
- Shanghai Menon Animal Nutrition Technology Co., Ltd., Shanghai 200000, China;
| | - Guoqi Zhao
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| | - Kang Zhan
- Institute of Animal Culture Collection and Application, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China; (M.J.); (X.Z.); (K.W.); (O.D.); (X.L.); (G.Z.)
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| |
Collapse
|
6
|
Zhao X, Ali S, Hassan MF, Bashir MA, Ni X, Lv C, Yang H, Danzeng B, Quan G. Effects of graded levels of dietary protein supplementation on milk yield, body weight gain, blood biochemical parameters, and gut microbiota in lactating ewes. Front Vet Sci 2023; 10:1223450. [PMID: 37601763 PMCID: PMC10435659 DOI: 10.3389/fvets.2023.1223450] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/17/2023] [Indexed: 08/22/2023] Open
Abstract
Diet-associated characteristics such as dietary protein levels can modulate the composition and diversity of the gut microbiota, leading to effects on the productive performance and overall health of animals. The objective of this study was to see how changes in dietary protein levels affect milk yield, body weight gain, blood biochemical parameters, and gut microbiota in lactating ewes. In a completely randomized design, eighteen ewes were randomly assigned to three groups (n = 6 ewes/group), and each group was assigned to one of three dietary treatments with different protein contents. The ewes' groups were fed on 8.38% (S-I), 10.42% (S-m), and 13.93% (S-h) dietary protein levels on a dry basis. The body weight gain and milk yield were greater (p < 0.05) in ewes fed the S-h dietary treatment than in those fed the S-m and S-1 diets, respectively. However, milk protein contents were similar (p > 0.05) across the treatments. The blood glucose, total protein, cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, lactate, creatinine, and C-reactive protein contents of lactating ewes were not influenced (p > 0.05) by different dietary protein levels. The alanine transaminase, aminotransferase, and lactate dehydrogenase activities were also not changed (p > 0.05) across the groups. However, blood urea nitrogen and albumin contents of lactating ewes were changed (p < 0.05) with increasing levels of dietary protein, and these metabolite concentrations were higher (p < 0.05) for S-h than the rest of the treatments. In the different treatment groups, Firmicutes and Bacteroidetes were found to be the most dominant phyla. However, the abundance of Lachnospiraceae species decreased as dietary protein levels increased. Within the Bacteroidetes phylum, Rikenellaceae were more abundant, followed by Prevotellaceae, in ewes fed the S-m diet compared to those fed the other diets. Based on the results, feeding at an optimal protein level improved milk yield and body weight gain through modifying the digestive tract's beneficial bacterial communities. The results of blood metabolites suggested that feeding higher-protein diets has no negative impact on health.
Collapse
Affiliation(s)
- Xiaoqi Zhao
- The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Sikandar Ali
- The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
- Zhejiang Vegamax Biotechnology Co., Ltd., Huzhou, China
| | - Mohammad Farooque Hassan
- Department of Animal Nutrition, Shaheed Benazir Bhutto University of Veterinary and Animal Sciences, Sakrand, Sindh, Pakistan
| | - Muhammad Amjad Bashir
- Department of Plant Protection, Faculty of Agricultural Sciences, Ghazi University, Dera Ghazi Khan, Punjab, Pakistan
| | - Xiaojun Ni
- The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Chunrong Lv
- The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Hongyuan Yang
- The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Baiji Danzeng
- The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| | - Guobo Quan
- The Small Ruminant Department, Yunnan Animal Science and Veterinary Institute, Kunming, Yunnan, China
| |
Collapse
|
7
|
Li Y, Yang Y, Chai S, Pang K, Wang X, Xu L, Chen Z, Li Y, Dong T, Huang W, Liu S, Wang S. Ruminal Fluid Transplantation Accelerates Rumen Microbial Remodeling and Improves Feed Efficiency in Yaks. Microorganisms 2023; 11:1964. [PMID: 37630524 PMCID: PMC10458777 DOI: 10.3390/microorganisms11081964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 07/16/2023] [Accepted: 07/26/2023] [Indexed: 08/27/2023] Open
Abstract
A relatively stable microbial ecological balance system in the rumen plays an important role in rumen environment stability and ruminant health maintenance. No studies have reported how rumen fluid transplantation (RFT) affects the composition of rumen microorganisms and yak growth performance. In this experiment, we transplanted fresh rumen fluid adapted to house-feeding yaks to yaks transitioned from natural pastures to house-feeding periods to investigate the effects of rumen fluid transplantation on rumen microbial community regulation and production performance. Twenty yaks were randomly divided into the control group (CON; n = 10) and the rumen fluid transplantation group (RT; n = 10). Ten yaks that had been adapted to stall fattening feed in one month were selected as the rumen fluid donor group to provide fresh rumen fluid. Ruminal fluid transplantation trials were conducted on the 1st, 3rd, and 5th. Overall, 1 L of ruminal fluid was transplanted to each yak in the RT and CON group. The formal trial then began with both groups fed the same diet. After this, growth performance was measured, rumen fluid was collected, and rumen microbial composition was compared using 16s rRNA sequencing data. The results showed that rumen fluid transplantation had no significant effect on yak total weight gain or daily weight gain (p > 0.05), and feed efficiency was higher in the RT group than in the CON group at 3 months (treatment × month: p < 0.01). Ruminal fluid transplantation significantly affected rumen alpha diversity (p < 0.05). Up to day 60, the RT group had significantly higher OTU numbers, Shannon diversity, and Simpson homogeneity than the CON group. Principal coordinate analysis showed that the rumen microbiota differed significantly on days 4 and 7 (p < 0.05). Bacteroidota, Firmicutes, Proteobacteria, and Spirochaetes were the most abundant phyla in the rumen. The relative abundances of Bacteroidota, Proteobacteria, and Spirochaetes were lower in the RT group than in the CON group, with a decrease observed in Bacteroidota in the RT group on days 7 and 28 after rumen fluid transplantation (p = 0.013), while Proteobacteria showed a decreasing trend in the CON group and an increasing trend in RT; however, this was only at day 4 (p = 0.019). The relative abundance of Firmicutes was significantly higher in the RT group than in the CON group on days 4, 7, and 28 (p = 0.001). Prevotella and Rikenellaceae_RC9_gut_group were the predominant genera. In conclusion, our findings suggest that rumen fluid transplantation improves yak growth performance and rumen microbial reshaping. The findings of this study provide new insights into yak microbial community transplantation and a reference for improving feed efficiency in the yak industry.
Collapse
Affiliation(s)
- Yan Li
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Yingkui Yang
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Shatuo Chai
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Kaiyue Pang
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Xun Wang
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Linpeng Xu
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Zheng Chen
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Yumin Li
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Tanqin Dong
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Weihua Huang
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
| | - Shujie Liu
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| | - Shuxiang Wang
- Qinghai Academy of Animal Husbandry, Veterinary Sciences in Qinghai University, Xining 810016, China; (Y.L.); (Y.Y.); (S.C.); (K.P.); (X.W.); (L.X.); (Z.C.); (Y.L.); (T.D.); (W.H.); (S.L.)
- Key Laboratory of Plateau Grazing Animal Nutrition and Feed Science of Qinghai Province, Xining 810016, China
- Yak Engineering Technology Research Center of Qinghai Province, Xining 810016, China
| |
Collapse
|
8
|
Cholewińska P, Szeligowska N, Wojnarowski K, Nazar P, Greguła-Kania M, Junkuszew A, Rant W, Radzik-Rant A, Marcinkowska A, Bodkowski R. Selected bacteria in sheep stool depending on breed and physiology state. Sci Rep 2023; 13:11739. [PMID: 37474553 PMCID: PMC10359392 DOI: 10.1038/s41598-023-38785-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 07/14/2023] [Indexed: 07/22/2023] Open
Abstract
One of the important factors influencing the microbial community of ruminants, besides environment or diet, are breed and physiology. Therefore, the purpose of this study was to assess these changes in the levels of basic microbial phyla and families. For this study, qPCR analysis was performed to determine the level of bacteria (Firmicutes, Bacteroidetes, Actinobacteria, Proteobacteria clusters and Clostridiaceae, Lactobacillaceae families) in the feces of ewes of three native Polish sheep breeds (Polish Lowland Sheep (PON), Świniarka Sheep (SW), and synthetic line BCP) at different physiological periods (conception, early pregnancy, lambing, end of lactation). The animals were kept in the same environment and were at the same age (2-years). The results showed a significant effect of both breed (p = 0.038) and physiological period (p < 0.05, p < 0.01) on the levels of bacteria analyzed. The breed showed differences across physiological periods. The influence of the race factor was noted primarily between the BCP synthetic line and the other two breeds (differences in terms of all analyzed clusters and families except Actinobacteria phyla). In the case of SW and PON, however, the observed differences were only at the level of Proteobacteria cluster and Clostridiaceae family. On the other hand, the early pregnant and lambing periods were the most microbiologically diverse in terms of the analyzed clusters and families of bacteria.
Collapse
Affiliation(s)
- Paulina Cholewińska
- Chair for Fish Diseases and Fisheries Biology, Ludwig-Maximilians-University of Munich, 80539, Munich, Germany
| | - Natalia Szeligowska
- Department of Chemical Sciences, University of Napoli Federico II, Via Cintia, 80126, Naples, Italy
| | - Konrad Wojnarowski
- Chair for Fish Diseases and Fisheries Biology, Ludwig-Maximilians-University of Munich, 80539, Munich, Germany
| | - Paulina Nazar
- Department of Animal Breeding and Agriculture Advisory, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, 20-950, Lublin, Poland
| | - Monika Greguła-Kania
- Department of Animal Breeding and Agriculture Advisory, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, 20-950, Lublin, Poland
| | - Andrzej Junkuszew
- Department of Animal Breeding and Agriculture Advisory, Faculty of Animal Sciences and Bioeconomy, University of Life Sciences in Lublin, 20-950, Lublin, Poland
| | - Witold Rant
- Institute of Animal Breeding, Warsaw University of Life Sciences-SGGW, 02-786, Warsaw, Poland
| | - Aurelia Radzik-Rant
- Institute of Animal Breeding, Warsaw University of Life Sciences-SGGW, 02-786, Warsaw, Poland
| | - Anna Marcinkowska
- Institute of Animal Breeding, Wroclaw University of Environmental and Life Sciences, 51-630, Wroclaw, Poland
| | - Robert Bodkowski
- Institute of Animal Breeding, Wroclaw University of Environmental and Life Sciences, 51-630, Wroclaw, Poland.
| |
Collapse
|
9
|
Wang Q, Cui Y, Indugu N, Loor JJ, Jiang Q, Yu Z, Baker L, Pitta D, Deng Z, Xu C. Integrated meta-omics analyses reveal a role of ruminal microorganisms in ketone body accumulation and ketosis in lactating dairy cows. J Dairy Sci 2023:S0022-0302(23)00327-2. [PMID: 37296048 DOI: 10.3168/jds.2022-22282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 12/13/2022] [Indexed: 06/12/2023]
Abstract
The extent to which a nutrition-related disorder such as ketosis alters the ruminal microbiota or whether microbiota composition is related to ketosis and potential associations with host metabolism is unknown. We aimed to evaluate variations occurring in the ruminal microbiota of ketotic and nonketotic cows in the early postpartum period, and how those changes may affect the risk of developing the disease. Data on milk yield, dry matter intake (DMI), body condition score, and blood β-hydroxybutyrate (BHB) concentrations at 21 d postpartum were used to select 27 cows, which were assigned (n = 9 per group) to a clinical ketotic (CK, 4.10 ± 0.72 mmol BHB/L, DMI 11.61 ± 0.49 kg/d, ruminal pH 7.55 ± 0.07), subclinical ketotic (SK, 1.36 ± 0.12 mmol BHB/L, DMI 15.24 ± 0.34 kg/d, ruminal pH 7.58 ± 0.08), or control (NK, 0.88 ± 0.14 mmol BHB/L, DMI 16.74 ± 0.67/d, ruminal pH 7.61 ± 0.03) group. Cows averaged 3.6 ± 0.5 lactations and a body condition score of 3.11 ± 0.34 at the time of sampling. After blood serum collection for metabolomics analysis (1H nuclear magnetic resonance spectra), 150 mL of ruminal digesta was collected from each cow using an esophageal tube, paired-end (2 × 300 bp) sequencing of isolated DNA from ruminal digesta was performed via Illumina MiSeq, and sequencing data were analyzed using QIIME2 (v 2020.6) to measure the ruminal microbiota composition and relative abundance. Spearman correlation coefficients were used to evaluate relationships between relative abundance of bacterial genera and concentrations of serum metabolites. There were more than 200 genera, with approximately 30 being significant between NK and CK cows. Succinivibrionaceae UCG 1 taxa decreased in CK compared with NK cows. Christensenellaceae (Spearman correlation coefficient = 0.6), Ruminococcaceae (Spearman correlation coefficient = 0.6), Lachnospiraceae (Spearman correlation coefficient = 0.5), and Prevotellaceae (Spearman correlation coefficient = 0.6) genera were more abundant in the CK group and were highly positively correlated with plasma BHB. Metagenomic analysis indicated a high abundance of predicted functions related to metabolism (37.7%), genetic information processing (33.4%), and Brite hierarchies (16.3%) in the CK group. The 2 most important metabolic pathways for butyrate and propionate production were enriched in CK cows, suggesting increased production of acetyl coenzyme A and butyrate and decreased production of propionate. Overall, the combined data suggested that microbial populations may be related to ketosis by affecting short-chain fatty acid metabolism and BHB accumulation even in cows with adequate feed intake in the early postpartum period.
Collapse
Affiliation(s)
- Qiuju Wang
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, No. 2 Xinyang Road, New Development District, Daqing, Heilongjiang, China 163319; Key Laboratory of Efficient Utilization of Feed Resources and Nutrition Manipulation in Cold Region of Heilongjiang Province, China 163319
| | - Yizhe Cui
- College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, No. 2 Xinyang Road, New Development District, Daqing, Heilongjiang, China 163319
| | - Nagaraju Indugu
- Department of Clinical Studies, School of Veterinary Medicine, New Bolton Center, University of Pennsylvania, Kennett Square 19348
| | - Juan J Loor
- Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801
| | - Qianming Jiang
- Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana 61801
| | - Zhongtang Yu
- Department of Animal Sciences, The Ohio State University, Columbus 43210
| | - Linda Baker
- Department of Clinical Studies, School of Veterinary Medicine, New Bolton Center, University of Pennsylvania, Kennett Square 19348
| | - Dipti Pitta
- Department of Clinical Studies, School of Veterinary Medicine, New Bolton Center, University of Pennsylvania, Kennett Square 19348
| | - Zhaoju Deng
- College of Veterinary Medicine, China Agricultural University, Beijing, China 100083
| | - Chuang Xu
- College of Veterinary Medicine, China Agricultural University, Beijing, China 100083.
| |
Collapse
|
10
|
Liu A, Kim E, Cui J, Li J, Lee Y, Zhang G. Laminaria Japonica Polysaccharide Improved the Productivities and Systemic Health of Ducks by Mediating the Gut Microbiota and Metabolome. J Agric Food Chem 2023; 71:7382-7395. [PMID: 37150978 PMCID: PMC10197123 DOI: 10.1021/acs.jafc.2c08731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 04/26/2023] [Accepted: 04/27/2023] [Indexed: 05/09/2023]
Abstract
This study investigated the beneficial effects of a Laminaria japonica polysaccharide (LJPS) on the systemic health of ducks by modulating the gut microbiome and metabolome. Our findings demonstrated that the LJPS supplementation enhanced the overall growth performance and physiological immune and antioxidant index of ducks. In addition, the LJPS-fed group significantly increased abundances of intestinal Bacteroides and Prevotellaceae with decreased α-diversity than that in the control group. Among the total of 1840 intestinal metabolites, 186 metabolites were identified to be differentially regulated by LJPS feeding (upregulated 143 metabolites and downregulated 43 metabolites), which is closely associated with some of the growth-related metabolic pathways. Lastly, the correlation analysis recapitulates that the beneficial effects of LJPS underlie the alterations in intestinal microbiota and metabolites. Taken together, LJPS supplementation improved the physiological parameters and richness of some beneficial microbes and upregulated certain metabolic pathways, which facilitated better productivities and systemic health of ducks.
Collapse
Affiliation(s)
- Anxin Liu
- Department
of Nutrition, China−Korea Joint R&D Center on Plant-Derived
Functional Polysaccharide, Key Laboratory of Efficient Utilization
of Non-Grain Feed Resources, Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Taian 271018, China
| | - Eunyoung Kim
- Department
of Food Science and Nutrition, and Korea−China Joint R&D
Center on Plant-Derived Functional Polysaccharide, Jeju National University, Jeju 63243, South Korea
| | - Jiamei Cui
- Department
of Food Science and Nutrition, and Korea−China Joint R&D
Center on Plant-Derived Functional Polysaccharide, Jeju National University, Jeju 63243, South Korea
| | - Jing Li
- Department
of Nutrition, China−Korea Joint R&D Center on Plant-Derived
Functional Polysaccharide, Key Laboratory of Efficient Utilization
of Non-Grain Feed Resources, Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Taian 271018, China
| | - Yunkyoung Lee
- Department
of Food Science and Nutrition, and Korea−China Joint R&D
Center on Plant-Derived Functional Polysaccharide, Jeju National University, Jeju 63243, South Korea
- Interdisciplinary
Graduate Program in Advanced Convergence Technology & Science, Jeju National University, Jeju 63243, South Korea
| | - Guiguo Zhang
- Department
of Nutrition, China−Korea Joint R&D Center on Plant-Derived
Functional Polysaccharide, Key Laboratory of Efficient Utilization
of Non-Grain Feed Resources, Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, 61 Daizong Street, Taian 271018, China
| |
Collapse
|
11
|
Wang X, Shi B, Zuo Z, Qi Y, Zhao S, Zhang X, Lan L, Shi Y, Liu X, Li S, Wang J, Hu J. Effects of Two Different Straw Pellets on Yak Growth Performance and Ruminal Microbiota during Cold Season. Animals (Basel) 2023; 13:ani13030335. [PMID: 36766224 PMCID: PMC9913257 DOI: 10.3390/ani13030335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/06/2023] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
The Tianzhu white yaks (Bos grunniens) live on the Qinghai-Tibet Plateau. During winter, a lack of resources and low nutritional levels seriously affect their growth performance. In this study, we aimed to explore the effect of supplementation straw pellets on the growth performance and ruminal microbiota of yaks. Overall, at 6 (6M, n = 24), 18 (18M, n = 26), 30 (30M, n = 20), 42 (42M, n = 24), and 54 (54M, n = 22) month old Tianzhu white yaks were selected (total n = 116) and divided into the mixed straw + grazing (MSG), corn straw + grazing (CSG), and the grazing control (G) groups according to age and gender. Their growth performance was measured as per different dietary treatments. The rumen microbial community structure and levels of VFAs were analyzed from the 6M, 30M, and 54M male yaks from each group. The supplementary diets led to an increase in the ADG, which was the highest in the MSG group. The MSG group exhibited the highest level of acetate and total VFAs (TVFAs) among the three groups (p < 0.05). In addition, the 16S rRNA sequencing results proved that the microbial composition was dominated by the members of Firmicutes and Bacteroidetes. Christensenellaceae R-7 group was significantly abundant in the CSG and MSG groups compared to the G group (p < 0.05). Principal coordinate analysis (PCoA) revealed that the bacterial community structure of rumen in the MSG and CSG groups was considerably different from that in the G group; 6M samples exhibited different rumen microbial diversity compared with the other samples. Correlation analysis revealed that Christensenellaceae_R-7_group was positively correlated with the levels of acetate, TVFAs, and ADG. These results demonstrated that mixed straw pellets improved the growth performance of yaks, increased the abundance of Christensenellaceae R-7_group involved in cellulose degradation in the rumen, and produced large amounts of VFAs, which were absorbed by yaks, thus increasing their ADG. This study provides new insights into the effects of straw pellet supplementation on the changes in the rumen microbiota and growth performance of yaks.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Jiang Hu
- Correspondence: ; Tel.: +86-139-1948-3781
| |
Collapse
|
12
|
Huang Y, Wang G, Zhang Q, Chen Z, Li C, Wang W, Zhang X, Wang X, Zhang D, Cui P, Ma Z. Effects of milk replacer feeding level on growth performance, rumen development and the ruminal bacterial community in lambs. Front Microbiol 2023; 13:1069964. [PMID: 36704552 PMCID: PMC9871810 DOI: 10.3389/fmicb.2022.1069964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/22/2022] [Indexed: 01/11/2023] Open
Abstract
Feeding with a suitable level of milk replacer (MR) can improve the survival rate and stimulate the growth potential of early lambs. However, feeding excessive MR might be detrimental to rumen development and microbial colonization. Herein, we investigated the effects of feeding different levels of MR on rumen digestive function and ruminal microorganisms. Fourteen healthy male Hu lambs with similar birth weights and detailed pedigree records were divided into two groups to receive low (2% of average body weight per day) and high (4% of average body weight per day) levels of MR. We analyzed the effects of the MR feeding level on growth performance, fiber degradation rates, rumen fermentation parameters, enzyme activities and rumen histomorphology. We found that feeding with a high level of MR improved the average daily gain of early lambs, but decreased the starter intake, rumen weight and papillae length. We also analyzed the effects of the MR feeding level on the rumen microbiota using 16S-rRNA amplicon sequencing data. The results showed that high a MR feeding level increased the rumen microbial diversity but decreased the abundance of many carbohydrate degrading bacteria. Several bacterial genera with significant differences correlated positively with rumen cellulase activity and the acid detergent fiber degradation rate. Our results suggested that a high level of MR could improve the growth performance of early lambs in the short term; however, in the long term, it would be detrimental to rumen development and have adverse effects on the adaptation process of the microbiota to solid feed.
Collapse
Affiliation(s)
- Yongliang Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Guoxiu Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Qian Zhang
- State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Zhanyu Chen
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Chong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China,*Correspondence: Chong Li, ✉
| | - Weimin Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China,State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiaojuan Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Deyin Zhang
- State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Panpan Cui
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| |
Collapse
|
13
|
Besharati M, Maggiolino A, Palangi V, Kaya A, Jabbar M, Eseceli H, De Palo P, Lorenzo JM. Tannin in Ruminant Nutrition: Review. Molecules 2022; 27:molecules27238273. [PMID: 36500366 PMCID: PMC9738529 DOI: 10.3390/molecules27238273] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022]
Abstract
Tannins are polyphenols characterized by different molecular weights that plants are able to synthetize during their secondary metabolism. Macromolecules (proteins, structural carbohydrates and starch) can link tannins and their digestion can decrease. Tannins can be classified into two groups: hydrolysable tannins and condensed tannins. Tannins are polyphenols, which can directly or indirectly affect intake and digestion. Their ability to bind molecules and form complexes depends on the structure of polyphenols and on the macromolecule involved. Tannins have long been known to be an "anti-nutritional agent" in monogastric and poultry animals. Using good tannins' proper application protocols helped the researchers observe positive effects on the intestinal microbial ecosystem, gut health, and animal production. Plant tannins are used as an alternative to in-feed antibiotics, and many factors have been described by researchers which contribute to the variability in their efficiencies. The objective of this study was to review the literature about tannins, their effects and use in ruminant nutrition.
Collapse
Affiliation(s)
- Maghsoud Besharati
- Department of Animal Science, Ahar Faculty of Agriculture and Natural Resources, University of Tabriz, Ahar 5451785354, Iran
- Correspondence: (M.B.); (A.M.); (V.P.)
| | - Aristide Maggiolino
- Department of Veterinary Medicine, University of Bari A. Moro, 70010 Valenzano, Italy
- Correspondence: (M.B.); (A.M.); (V.P.)
| | - Valiollah Palangi
- Department of Animal Science, Agricultural Faculty, Ataturk University, Erzurum 25240, Turkey
- Correspondence: (M.B.); (A.M.); (V.P.)
| | - Adem Kaya
- Department of Animal Science, Agricultural Faculty, Ataturk University, Erzurum 25240, Turkey
| | - Muhammad Jabbar
- Department of Zoology, Faculty of Biosciences, Cholistan University of Veterinary and Animal Sciences, Bahawalpur 63100, Pakistan
| | - Hüseyin Eseceli
- Department of Nutrition Sciences, Faculty of Health Sciences, Bandirma Onyedi Eylul University, Balikesir 10200, Turkey
| | - Pasquale De Palo
- Department of Veterinary Medicine, University of Bari A. Moro, 70010 Valenzano, Italy
| | - Jose M. Lorenzo
- Centro Tecnológico de la Carne de Galicia, Avd. Galicia 4, Parque Tecnológico de Galicia, 32900 Ourense, Spain
- Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidade de Vigo, 32004 Ourense, Spain
| |
Collapse
|
14
|
Prasetiyono BWHE, Widiyanto W, Pandupuspitasari NS. Gut Microbiota Profiles in Dairy Cattle from Highland and Coastal Regions Using Shotgun Metagenomic Approach. Biomed Res Int 2022; 2022:3659052. [PMID: 36119925 PMCID: PMC9481326 DOI: 10.1155/2022/3659052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 08/11/2022] [Indexed: 12/04/2022]
Abstract
There is significant difference in milk production of highland and coastal regions in Indonesia of which the latter is critically low. The recent studies indicate a possibility of improving the milk yield and quality by manipulating the gut microbiota, for which profiling and abundance of gut microbiota in these divergent regions need to be addressed. The present study was the first of its kind to explore the dairy cattle gut microbiota diversity, abundance, and functional annotation of the two divergent Indonesian regions, the highland and coastal regions, by shotgun metagenomic approach. Unfavorable environmental conditions such as type of forage grass in coastal regions and high temperature remain a limiting factor; however, the improvement through manipulating the gut microbiota was not considered until recently to improve the quality and quantity of coastal region dairy cattle. The application of recent advance technologies can help achieve this goal on sustainable basis. The results show Bacteroidetes in higher abundance in coastal region (FPP) than in highland (Salatiga) while Firmicutes were higher in Salatiga. Furthermore, a collective physiology of the community was found by annotating the sequences against KEGG, eggNOG, and CAZy databases. To identify the role in pathways, an mPATH analysis was performed to have insight into the microbiota community in different metabolic pathways. The identified targets can be used as prebiotic and/or probiotic to improve the average milk yield of coastal region dairy cattle by manipulating the dairy feed with desired microbes.
Collapse
Affiliation(s)
| | - Widiyanto Widiyanto
- Laboratory of Animal Nutrition and Feed Science, Animal Science Department, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
| | - Nuruliarizki Shinta Pandupuspitasari
- Laboratory of Animal Nutrition and Feed Science, Animal Science Department, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Indonesia
| |
Collapse
|
15
|
Wu Y, Guo X, Zhao D, Xu C, Sun H, Yang Q, Wei Q, Si H, Wang K, Zhang T. Effect of Methionine Supplementation on Serum Metabolism and the Rumen Bacterial Community of Sika Deer (Cervus nippon). Animals (Basel) 2022; 12. [PMID: 35953939 DOI: 10.3390/ani12151950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/25/2022] [Accepted: 07/28/2022] [Indexed: 11/16/2022] Open
Abstract
Methionine is the first or second limiting amino acid for ruminants, such as sika deer, and has a variety of biological functions such as antioxidant activity, immune response, and protein synthesis. This study aimed to investigate the effects of methionine supplementation on antler growth, serum biochemistry, rumen fermentation, and the bacterial community of sika deer during the antler-growing period. Twelve 4-year-old male sika deer were randomly assigned to three dietary groups supplemented with 0 g/day (n = 4, CON), 4.0 g/day (n = 4, LMet), and 6.0 g/day (n = 4, HMet) methionine. No significant difference (p > 0.05) was found in the production performance between the three groups, but antler weight was higher in both the LMet and HMet groups than in the CON group. Methionine supplementation significantly increased the serum glutathione peroxidase activity (p < 0.05). The serum immunoglobulin G level was significantly higher in the HMet group than in the other two groups (p < 0.05). No significant effect was found on the apparent amino acid digestibility of the three groups, but cysteine and methionine digestibility were higher in the LMet group. The serum hydroxylysine level was significantly lower in the LMet and HMet groups, whereas the serum lysine level was significantly lower in the HMet group compared with the CON group (p < 0.05). The LMet group had the highest but a nonsignificant total volatile fatty acid content and significantly higher microbial protein content in the rumen than the CON group (p < 0.05). The phyla Bacteroidetes, Firmicutes, and Proteobacteria were dominant in the rumen of the sika deer. The principal coordinate analysis (PCoA) and analysis of similarities (ANOSIM) results showed a significant change in the bacterial composition of the three groups (p < 0.05). The relative abundance of Prevotella and Rikenellaceae-RC9 was significantly higher in the LMet group compared with the CON group and CON and HMet groups, respectively. These results revealed that methionine supplementation improved the antioxidant activity and immune status, affecting amino acid metabolism and rumen microbial composition of the sika deer.
Collapse
|
16
|
Liu T, Li F, Wang W, Wang X, Ma Z, Li C, Weng X, Zheng C. Early feeding strategies in lambs affect rumen development and growth performance, with advantages persisting for two weeks after the transition to fattening diets. Front Vet Sci 2022; 9:925649. [PMID: 35968009 PMCID: PMC9366302 DOI: 10.3389/fvets.2022.925649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/04/2022] [Indexed: 11/27/2022] Open
Abstract
This study aimed to explore the effects of early feeding strategies on the growth and rumen development of lambs from pre-weaning to the transition to fattening diets. Ninety-six newborn, male lambs with similar body weights were randomly assigned to three treatments: fed starter at 42 days old + weaned at 56 days old (Ctrl, n = 36), fed starter at 7 days old + weaned at 56 days old (ES, n = 36), and fed starter at 7 days old + weaned at 28 days old (ES + EW, n = 24). The fattening diets of all lambs were gradually replaced from 60 to 70 days of age. Six randomly selected lambs from each treatment were slaughtered at 14, 28, 42, 56, 70, and 84 days of age. The results showed that the richness and diversity of rumen microbiota of lambs in the Ctrl group were distinct from those of lambs in the other groups at 42 days of age. Moreover, transcriptome analysis revealed 407, 219, and 1,211 unique differentially expressed genes (DEGs) in the rumen tissue of ES vs. Ctrl, ES vs. ES + EW, and ES + EW vs. Ctrl groups, respectively, at 42 days of age. Different early feeding strategies resulted in differences in ruminal anatomy, morphology, and fermentation in lambs from 42 to 84 days of age (P < 0.05). Lambs in the ES + EW group had a higher average starter diet intake than those in the other groups (P < 0.05) from 28 to 56 days of age, which affected their growth performance. After 42 days of age, the body and carcass weights of lambs in the ES and ES + EW groups were higher than those in the Ctrl group (P < 0.05). These findings demonstrate that feeding lambs with a starter diet at 7 days of age and weaning them at 28 days of age can promote rumen development and improve growth performance, and this advantage persists for up to 2 weeks after transition to the fattening diet.
Collapse
Affiliation(s)
- Ting Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Fadi Li
- State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Weimin Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
- State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Xiaojuan Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Zhiyuan Ma
- State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Chong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiuxiu Weng
- State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Chen Zheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
- *Correspondence: Chen Zheng
| |
Collapse
|
17
|
Zhang Y, Zhao H, Li Q, Tsechoe D, Yuan H, Su G, Yang J. Environmental factors influence yak milk composition by modulating short-chain fatty acid metabolism in intestinal microorganisms. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
18
|
Henniger MT, Wells JE, Hales KE, Lindholm-Perry AK, Freetly HC, Kuehn LA, Schneider LG, McLean KJ, Campagna SR, Christopher CJ, Myer PR. Effects of a Moderate or Aggressive Implant Strategy on the Rumen Microbiome and Metabolome in Steers. Front Anim Sci 2022. [DOI: 10.3389/fanim.2022.889817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The effects of growth-promoting implants have been well-defined for their ability to impact growth performance in beef cattle. Production-relevant microbes and microbiomes in the rumen have also been associated with growth traits. However, the role of implants on the rumen microbiome has not been determined. The objective of this study was to determine if different doses of implant hormones cause gain-associated ruminal microbial community changes. To assess this, a completely randomized design was used and 336 fall-born steers 450 to 470 days of age from the germplasm evaluation population at the US Meat Animal Research Center (Clay Center, NE) were divided into two treatment groups: 1) a moderate implant strategy (n = 167) of Revalor-IS (80 mg trenbolone acetate and 16 mg estradiol) followed by Revalor-S (120 mg trenbolone acetate and 24 mg estradiol) or 2) an aggressive implant strategy (n = 169) of Revalor-IS followed by Revalor-200 (200 mg trenbolone acetate and 20 mg estradiol). Steers were fed the same diet (57.0% dry-rolled corn, 30% wet distiller’s grains with solubles, 8.0% alfalfa hay, 4.25% vitamin and mineral supplement, and 0.75% urea, on a DM basis). On d 85 after implants administration, rumen contents were collected via orogastric tubing. Samples were sequenced to target and identify bacteria, archaea, and protozoa. Untargeted metabolomics was performed on rumen content using ultra high performance liquid chromatography high resolution mass spectrometry. Production data between implant strategies was analyzed using a mixed model ANOVA (SASv9.4, Cary, NC) followed by separation of least squares means. Microbial diversity between strategies did not differ for archaea or protozoa (P > 0.05). Average daily gain was different (P = 0.01; 1.72 vs 1.66 ± 0.02 kg, aggressive vs moderate, respectively); however, large microbial community shifts were not associated with implant strategy. Two metabolites, N-acetyllysine and N-acetylornithine, were found in greater abundance in the moderate implant strategy (P ≤ 0.04). Understanding associations between the rumen microbiome and implant strategies may allow improvement of growth efficiency in beef cattle.
Collapse
|
19
|
Dai D, Pang K, Liu S, Wang X, Yang Y, Chai S, Wang S. Effects of Concentrate Supplementation on Growth Performance, Rumen Fermentation, and Bacterial Community Composition in Grazing Yaks during the Warm Season. Animals (Basel) 2022; 12. [PMID: 35681862 DOI: 10.3390/ani12111398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 05/26/2022] [Accepted: 05/26/2022] [Indexed: 11/17/2022] Open
Abstract
This study aimed to evaluate the effects of concentrate supplementation on the growth performance, serum biochemical parameters, rumen fermentation, and bacterial community composition of grazing yaks during the warm season. Eight male yaks (body weight, 123.96 ± 7.43 kg; 3-years) were randomly allocated to two treatments groups: grazing (n = 4, GY) and concentrate supplement group (n = 4, GYS). Concentrate supplementation increased the average daily gain (ADG) (p < 0.05). Glucose (GLU), total protein (TP), and aspartate aminotransferase (AST) serum concentrations were significantly higher in the GYS group than in the GY group (p < 0.05). Ammonia-N, MCP: microbial protein, and total volatile fatty acid concentrations were significantly higher in the GYS group than in the GY group (p < 0.01), whereas the pH and acetate: propionate values were significantly decreased (p < 0.01). The relative abundance of Firmicutes in the rumen fluid was significantly higher in the GYS group than in the GY group (p < 0.01). At the genus level, the relative abundances of Succiniclasticum, Prevotellaceae_UCG_003, Prevotellaceae_UCG_005, and Ruminococcus_1 were significantly greater in the GY group than in the GYS group (p < 0.01). In conclusion, concentrate supplementation improved yaks’ growth potential during the warm season, improved ruminal fermentation, and altered core bacteria abundance.
Collapse
|
20
|
Li S, Du M, Zhang C, Wang Y, Lee Y, Zhang G. Diet Type Impacts Production Performance of Fattening Lambs by Manipulating the Ruminal Microbiota and Metabolome. Front Microbiol 2022; 13:824001. [PMID: 35547127 PMCID: PMC9081845 DOI: 10.3389/fmicb.2022.824001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 03/18/2022] [Indexed: 11/13/2022] Open
Abstract
The pelleted total mixed ration (PTMR) has a positive effect on the productivity of fattening lambs. However, whether the beneficial effects are underpinned by altering the rumen microbiota and metabolome that remain unclear. This study aimed to investigate correlations among growth performance, ruminal microbiota, and ruminal metabolome of lambs fed PTMR diet. A total of 100 crossbred (Dorper sheep × Fine-wool sheep) ram lambs at 55 days of age with similar body weight (BW) (13.2 ± 0.5 kg) were randomly allocated to 10 pens that were fed either PTMR (PTMR group) or unpelleted total mixed ration (UPTMR group) with the same dietary ingredients and nutritional contents. The average daily gain (ADG) and average daily feed intake (ADFI) were determined during the 62-day experimental period and ruminal pH, volatile fatty acid (VFA) concentrations, microbiota, and metabolome in the rumen of the lambs were examined at the end of the experiment. Compared to those of the UPTMR group, the PTMR group had greater ADFI (P = 0.002), ADG (P = 0.003), and feed efficiency (G/F) (P < 0.05). Similarly, feeding PTMR increased the concentration of total VFA (TVFA) and the molar proportion of propionate, but decreased the proportion of butyrate and acetate to propionate ratio in the rumen of lambs compared to that in lambs from the UPTMR group (P < 0.05). In addition, the PTMR group demonstrated lowered alpha-diversity of the ruminal microbiota and enhanced the relative abundance of Fibrobacter (P < 0.05), Veillonellaceae (P < 0.05), and the abundance of Rikenellaceae (P = 0.064) in the rumen compared with those in the UPTMR group. Feeding lambs with PTMR significantly upregulated the metabolic pathways involving tryptophan, histidine, cysteine and methionine, β-alanine, tyrosine metabolisms, and steroid biosynthesis. Moreover, the abundance of the microbiota strongly correlated with the altered performance, ruminal VFA, metabolites, and metabolic pathways of lambs. Taken together, feeding PTMR shaped the ruminal microbiota of lambs with decreased diversity, while improving relative abundance of some specific microbes and upregulating certain growth-related metabolic pathways, which contributed to the augmented growth performance and G/F of fattening lambs. Thus, feeding PTMR to fattening lambs for superior production performance and G/F is recommended.
Collapse
Affiliation(s)
- Siqi Li
- College of Animal Sciences and Technology, Shandong Agricultural University, Taian, China
| | - Meiyu Du
- College of Animal Sciences and Technology, Shandong Agricultural University, Taian, China
| | - Chongyu Zhang
- College of Animal Sciences and Technology, Shandong Agricultural University, Taian, China
| | - Yun Wang
- College of Animal Sciences and Technology, Shandong Agricultural University, Taian, China
| | - Yunkyoung Lee
- Interdisciplinary Graduate Program in Advanced Convergence Technology and Science, Department of Food Science and Nutrition, Jeju National University, Jeju, South Korea
| | - Guiguo Zhang
- College of Animal Sciences and Technology, Shandong Agricultural University, Taian, China
| |
Collapse
|
21
|
Min BR, Lee S, Jung H, Miller DN, Chen R. Enteric Methane Emissions and Animal Performance in Dairy and Beef Cattle Production: Strategies, Opportunities, and Impact of Reducing Emissions. Animals (Basel) 2022; 12:948. [PMID: 35454195 PMCID: PMC9030782 DOI: 10.3390/ani12080948] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/27/2022] [Accepted: 03/29/2022] [Indexed: 01/14/2023] Open
Abstract
Enteric methane (CH4) emissions produced by microbial fermentation in the rumen resulting in the emission of greenhouse gases (GHG) into the atmosphere. The GHG emissions reduction from the livestock industry can be attained by increasing production efficiency and improving feed efficiency, by lowering the emission intensity of production, or by combining the two. In this work, information was compiled from peer-reviewed studies to analyze CH4 emissions calculated per unit of milk production, energy-corrected milk (ECM), average daily gain (ADG), dry matter intake (DMI), and gross energy intake (GEI), and related emissions to rumen fermentation profiles (volatile fatty acids [VFA], hydrogen [H2]) and microflora activities in the rumen of beef and dairy cattle. For dairy cattle, there was a positive correlation (p < 0.001) between CH4 emissions and DMI (R2 = 0.44), milk production (R2 = 0.37; p < 0.001), ECM (R2 = 0.46), GEI (R2 = 0.50), and acetate/propionate (A/P) ratio (R2 = 0.45). For beef cattle, CH4 emissions were positively correlated (p < 0.05−0.001) with DMI (R2 = 0.37) and GEI (R2 = 0.74). Additionally, the ADG (R2 = 0.19; p < 0.01) and A/P ratio (R2 = 0.15; p < 0.05) were significantly associated with CH4 emission in beef steers. This information may lead to cost-effective methods to reduce enteric CH4 production from cattle. We conclude that enteric CH4 emissions per unit of ECM, GEI, and ADG, as well as rumen fermentation profiles, show great potential for estimating enteric CH4 emissions.
Collapse
Affiliation(s)
- Byeng-Ryel Min
- College of Agriculture, Environment and Nutrition Sciences, Tuskegee University, Tuskegee, AL 36088, USA;
| | - Seul Lee
- Animal Nutrition & Physiology Division, National Institute of Animal Science, Rural Development Administration, Wanju-gun 55365, Jeollabuk-do, Korea; (S.L.); (H.J.)
| | - Hyunjung Jung
- Animal Nutrition & Physiology Division, National Institute of Animal Science, Rural Development Administration, Wanju-gun 55365, Jeollabuk-do, Korea; (S.L.); (H.J.)
| | - Daniel N. Miller
- Agroecosystem Management Research Unit, USDA/ARS, 354 Filly Hall, Lincoln, NE 68583, USA;
| | - Rui Chen
- College of Agriculture, Environment and Nutrition Sciences, Tuskegee University, Tuskegee, AL 36088, USA;
| |
Collapse
|
22
|
Xiang J, Zhong L, Luo H, Meng L, Dong Y, Qi Z, Wang H. A comparative analysis of carcass and meat traits, and rumen bacteria between Chinese Mongolian sheep and Dorper × Chinese Mongolian crossbred sheep. Animal 2022; 16:100503. [PMID: 35378496 DOI: 10.1016/j.animal.2022.100503] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 02/28/2022] [Accepted: 03/01/2022] [Indexed: 11/26/2022] Open
Abstract
Mutton is one of the most widely consumed meats globally. The Chinese Mongolian sheep (MS) breed is an indigenous breed of sheep characterised by high-quality meat and strong adaptability. Dorper × Chinese Mongolian crossbred sheep (DS) is an improved breed with a rapid growth rate and high mutton yield found in parts of China. The rumen microbiota is known to play a key role in shaping host nutrition and health. However, the carcass traits and meat nutritional qualities of DS and MS remain poorly defined, as does how rumen microbes affect these characteristics. The objective of this study was to compare carcass profiles, rumen bacterial communities, and meat nutritional qualities between MS and DS and clarify the associations between rumen microbiota and meat nutritional composition. We found that DS had a faster growth rate and better carcass traits than MS, including BW, carcass weight, meat weight, and loin-eye area. We further found that metabolite and rumen bacterial community composition differed between the two sheep breeds. First, compared with MS, DS had lower contents of some sweet amino acids, monounsaturated fatty acids, n-3 polyunsaturated fatty acids, and beneficial metabolites. Secondly, MS and DS had distinct rumen bacterial compositions, and these differential bacteria were related to carcass traits as well as to contents of meat amino acids, free fatty acids, and other metabolites. Taken together, our data showed that DS had better carcass characteristics but lower meat nutritional quality, parameters that were associated with differences in rumen bacterial community composition. These findings may benefit future breeding strategies aimed at improving sheep carcass performance and meat quality worldwide.
Collapse
Affiliation(s)
- Jinzhu Xiang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 020020, China
| | - Liang Zhong
- Hebei Provincial Key Laboratory of Basic Medicine for Diabetes, The Shijiazhuang Second Hospital, Shijiazhuang 050051, China
| | - Hui Luo
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 020020, China
| | - Lingbo Meng
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 020020, China
| | - Yanbing Dong
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 020020, China
| | - Zhi Qi
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 020020, China
| | - Hanning Wang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 020020, China.
| |
Collapse
|
23
|
Cristobal-Carballo O, McCoard SA, Cookson AL, Laven RA, Ganesh S, Lewis SJ, Muetzel S. Effect of Divergent Feeding Regimes During Early Life on the Rumen Microbiota in Calves. Front Microbiol 2021; 12:711040. [PMID: 34745024 PMCID: PMC8565576 DOI: 10.3389/fmicb.2021.711040] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 08/31/2021] [Indexed: 12/16/2022] Open
Abstract
The objective of this study was to determine whether divergent feeding regimes during the first 41 weeks of the life of a calf are associated with long-term changes in the rumen microbiota and the associated fermentation end-products. Twenty-four calves (9 ± 5 days of age) were arranged in a 2 × 2 factorial design with two divergent treatments across three dietary phases. In phase 1 (P01), calves were offered a low-milk volume/concentrate starter diet with early weaning (CO) or high-milk volume/pasture diet and late weaning (FO). In phase 2 (P02), calves from both groups were randomly allocated to either high-quality (HQ) or low-quality (LQ) pasture grazing groups. In phase 3 (P03), calves were randomly allocated to one of two grazing groups and offered the same pasture-only diet. During each dietary phase, methane (CH4) and hydrogen (H2) emissions and dry matter intake (DMI) were measured in respiration chambers, and rumen samples for the evaluation of microbiota and short-chain fatty acid (SCFA) characterizations were collected. In P01, CO calves had a higher solid feed intake but a lower CH4 yield (yCH4) and acetate:propionate ratio (A:P) compared with FO calves. The ruminal bacterial community had lower proportions of cellulolytic bacteria in CO than FO calves. The archaeal community was dominated by Methanobrevibacter boviskoreani in CO calves and by Mbb. gottschalkii in FO calves. These differences, however, did not persist into P02. Calves offered HQ pastures had greater DMI and lower A:P ratio than calves offered LQ pastures, but yCH4 was similar between groups. The cellulolytic bacteria had lower proportions in HQ than LQ calves. In all groups, the archaeal community was dominated by Mbb. gottschalkii. No treatment interactions were observed in P02. In P03, all calves had similar DMI, CH4 and H2 emissions, SCFA proportions, and microbial compositions, and no interactions with previous treatments were observed. These results indicate that the rumen microbiota and associated fermentation end-products are driven by the diet consumed at the time of sampling and that previous dietary interventions do not lead to a detectable long-term microbial imprint or changes in rumen function.
Collapse
Affiliation(s)
- Omar Cristobal-Carballo
- Ruminant Nutrition and Physiology Team, AgResearch Grasslands, Palmerston North, New Zealand.,School of Veterinary Medicine, Massey University, Palmerston North, New Zealand
| | - Sue A McCoard
- Ruminant Nutrition and Physiology Team, AgResearch Grasslands, Palmerston North, New Zealand
| | - Adrian L Cookson
- Food System Integrity Team, AgResearch Grasslands, Palmerston North, New Zealand.,School of Veterinary Medicine, Massey University, Palmerston North, New Zealand
| | - Richard A Laven
- School of Veterinary Medicine, Massey University, Palmerston North, New Zealand
| | - Siva Ganesh
- Biostatistics Team, AgResearch Grasslands, Palmerston North, New Zealand
| | - Sarah J Lewis
- Ruminant Nutrition and Physiology Team, AgResearch Grasslands, Palmerston North, New Zealand
| | - Stefan Muetzel
- Ruminant Nutrition and Physiology Team, AgResearch Grasslands, Palmerston North, New Zealand
| |
Collapse
|
24
|
Emu Q, Guan H, Zhu J, Zhang L, Fan J, Ji Y, Lin Y, Li C, Dan X, Aguo Y, Wei X, Zhang M, Zhang B, Yang C, Li B, Xiong C. Grazing and Supplementation of Dietary Yeast Probiotics Shape the Gut Microbiota and Improve the Immunity of Black Fattening Goats ( Capra hircus). Front Microbiol 2021; 12:666837. [PMID: 34489878 PMCID: PMC8416523 DOI: 10.3389/fmicb.2021.666837] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 07/27/2021] [Indexed: 12/31/2022] Open
Abstract
This study aimed to investigate the effects of different feeding modes on the growth performance, gut microbiota, and immunity of Black Fattening Goat (Capra hircus). A total of 30 goats were grouped in three groups by their feeding modes (pasture grazing group, PG; barn feeding group, BF; barn feeding + probiotics, BF + P; n = 10) and the study was performed for 114 days. After a 2-week adaptation period, the first growth performance test was conducted, and the blood and fecal samplings (day 0) were collected on January 17, 2020, while the second and third test and samplings were conducted on days 53 and 100 of feeding. The species-composition of fecal microbiota was analyzed by 16S ribosomal RNA gene-sequencing using PacBio single molecule real time (SMRT) sequencing technology. Both the BF and BF + P groups had the highest (P < 0.05) body’s weight and length, and chest circumference at days 53 and 100, especially at day 100, the body’s weight of both the BF groups were more than 18 kg. The levels of immunoglobulin A (IgA) and immunoglobulin G (IgG) were found to be significantly higher (P < 0.05) in the PG and BF + P groups at day 100. The PG group exhibited the highest number of operational taxonomic unit (OTUs) and alpha diversity. Firmicutes, Bacteroidetes, and Verrucomicrobia were the predominant phyla in all the fecal samples. The relative abundance of Akkermansia muciniphila and Ruminococcus flavefaciens were found to be significantly higher (P < 0.05) in PG group and BF + P group at day 100, respectively, which might partially explain the significantly higher (P < 0.05) levels of IgA and IgG in these two groups. These findings suggested that BF supplemented with 5 g probiotics (Saccharomyces cerevisiae and mannan oligosaccharides) per day has the potential to enhance the growth and immunity of Black Fattening Goats.
Collapse
Affiliation(s)
- Quzhe Emu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Hao Guan
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, China
| | - Jiangjiang Zhu
- Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization Key Laboratory of Sichuan Province, Southwest Minzu University, Chengdu, China
| | - Lin Zhang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Jinsheng Fan
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Yang Ji
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Yaqiu Lin
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Chunmei Li
- Husbandry and Veterinary Technology Promotion Center of Fushun County, Zigong, China
| | - Xiaobo Dan
- Rongxian Agricultural Technology Extension Center, Zigong, China
| | - Yueda Aguo
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Xiaolan Wei
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Min Zhang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Bin Zhang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Chao Yang
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| | - Bo Li
- Rongxian Agricultural Technology Extension Center, Zigong, China
| | - Chaorui Xiong
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, China
| |
Collapse
|
25
|
Zhou H, Wu H, Chen Y, Zou W, Lu W, He Y. Administration of All-Trans Retinoic Acid to Pregnant Sows Alters Gut Bacterial Community of Neonatal Piglets With Different Hoxa1 Genotypes. Front Microbiol 2021; 12:712212. [PMID: 34381436 PMCID: PMC8350768 DOI: 10.3389/fmicb.2021.712212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 06/29/2021] [Indexed: 11/29/2022] Open
Abstract
Administration of all-trans retinoic acid (ATRA) to pregnant sows improves developmental defects of Hoxa1–/– fetal pigs, and this study aimed to explore the influence of maternal ATRA administration during pregnancy on gut microbiota of neonatal piglets. Samples of jejunal and ileal meconium of neonatal piglets before suckling were collected including 5 Hoxa1–/– and 20 non-Hoxa1–/– (Hoxa1+/+ and Hoxa1+/−) neonatal piglets from the control group and 5 Hoxa1–/– and 7 non-Hoxa1–/– neonatal piglets from the experimental group. Results indicated that Hoxa1 mutation shaped the bacterial composition of the jejunum and ileum of neonatal piglets and Hoxa1–/– neonatal piglets had significantly higher diversity and species richness, higher relative abundance of phylum Bacteroidetes, lower relative abundances of phylum Firmicutes and genus Lactobacillus, and lower ratio of Firmicutes to Bacteroidetes than non-Hoxa1–/– neonatal piglets. After maternal ATRA administration, Hoxa1–/– neonatal piglets had significantly higher diversity and species richness, higher relative abundances of two bacterial phyla (Bacteroidetes and Proteobacteria), and lower relative abundances of phylum Firmicutes and genus Lactobacillus in the jejunum than non-Hoxa1–/– neonatal piglets. Hoxa1–/– neonatal piglets delivered by sows with maternal ATRA administration had lower diversity and species richness and higher relative abundance of phylum Firmicutes in the jejunum than Hoxa1–/– neonatal piglets born by sows with no maternal ATRA administration. Non-Hoxa1–/– neonatal piglets delivered by sows with maternal ATRA administration had higher diversity and species richness and significantly lower relative abundances of phyla Firmicutes and Actinobacteria and genus Lactobacillus in the ileum than non-Hoxa1–/– neonatal piglets born by sows with no maternal ATRA administration. Hoxa1 mutation decreased the expression of bacterial genes involved in ABC transporters, purine metabolism, and aminoacyl-tRNA biosynthesis and increased the expression of bacterial genes involved in two-component system, starch and sucrose metabolism, and arginine and proline metabolism. Maternal ATRA administration decreased the expression of bacterial genes involved in arginine and proline metabolism, peptidoglycan biosynthesis, and fatty acid biosynthesis. Hoxa1 mutation resulted in bacterial dysbiosis of the small intestine of Hoaxa1–/– neonatal piglets, and maternal ATRA administration restored the bacterial dysbiosis of Hoxa1–/– neonatal piglets and altered the bacterial composition of the small intestine of non-Hoxa1–/– neonatal piglets.
Collapse
Affiliation(s)
- Haimei Zhou
- Jiangxi Province Key Laboratory of Animal Nutrition/Engineering Research Center of Feed Development, Jiangxi Agricultural University, Nanchang, China.,Department of Animal Science, Jiangxi Agricultural Engineering College, Zhangshu, China
| | - Huadong Wu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China
| | - Yixin Chen
- Jiangxi Province Key Laboratory of Animal Nutrition/Engineering Research Center of Feed Development, Jiangxi Agricultural University, Nanchang, China
| | - Wanjie Zou
- Jiangxi Province Key Laboratory of Animal Nutrition/Engineering Research Center of Feed Development, Jiangxi Agricultural University, Nanchang, China
| | - Wei Lu
- Jiangxi Province Key Laboratory of Animal Nutrition/Engineering Research Center of Feed Development, Jiangxi Agricultural University, Nanchang, China
| | - Yuyong He
- Jiangxi Province Key Laboratory of Animal Nutrition/Engineering Research Center of Feed Development, Jiangxi Agricultural University, Nanchang, China
| |
Collapse
|
26
|
Liu W, Wang Q, Song J, Xin J, Zhang S, Lei Y, Yang Y, Xie P, Suo H. Comparison of Gut Microbiota of Yaks From Different Geographical Regions. Front Microbiol 2021; 12:666940. [PMID: 34163445 PMCID: PMC8216380 DOI: 10.3389/fmicb.2021.666940] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/12/2021] [Indexed: 11/17/2022] Open
Abstract
Gut microbiota are closely linked to host health and adaptability to different geographical environments. However, information on the influence of different geographical conditions on the intestinal microbiota of yaks is limited. In this study, 18 yak fecal samples were collected from three regions of China, namely Shangri-la, Lhasa, and Yushu, and were analyzed via high-throughput sequencing. The alpha diversity, as measured by the Shannon, ACE, and Chao indices, was the highest in the Shangri-la samples. Principal coordinate analysis detected significant differences in the composition of the intestinal microbiota of yaks from different regions. A total of six phyla, 21 families, and 29 genera were identified in the fecal samples. The dominant phyla in the samples were Firmicutes and Bacteroidetes, and the most abundant family was Ruminococcaceae. In addition, Ruminococcaceae_UCG-005 was the predominant genus and was more abundant in Yushu samples than in other samples. However, the predicted functional gene composition of the gut microbiota of yaks from different regions was similar. Our results revealed that geographical conditions influence the diversity and composition of the intestinal microbiota of yaks.
Collapse
Affiliation(s)
- Wenwen Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,College of Food Science, Southwest University, Chongqing, China
| | - Qiang Wang
- College of Food Science, Southwest University, Chongqing, China
| | - Jiajia Song
- College of Food Science, Southwest University, Chongqing, China
| | - Jinwei Xin
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa, China.,Institute of Animal Science and Veterinary, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Songshan Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuanhua Lei
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuanli Yang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Peng Xie
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huayi Suo
- College of Food Science, Southwest University, Chongqing, China
| |
Collapse
|
27
|
Bekhit AEDA, Giteru SG, Holman BWB, Hopkins DL. Total volatile basic nitrogen and trimethylamine in muscle foods: Potential formation pathways and effects on human health. Compr Rev Food Sci Food Saf 2021; 20:3620-3666. [PMID: 34056832 DOI: 10.1111/1541-4337.12764] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 12/18/2022]
Abstract
The use of total volatile basic nitrogen (TVB-N) as a quality parameter for fish is rapidly growing to include other types of meat. Investigations of meat quality have recently focused on TVB-N as an index of freshness, but little is known on the biochemical pathways involved in its generation. Furthermore, TVB-N and methylated amines have been reported to exert deterimental health effects, but the relationship between these compounds and human health has not been critically reviewed. Here, literature on the formative pathways of TVB-N has been reviewed in depth. The association of methylated amines and human health has been critically evaluated. Interventions to mitigate the effects of TVB-N on human health are discussed. TVB-N levels in meat can be influenced by the diet of an animal, which calls for careful consideration when using TVB-N thresholds for regulatory purposes. Bacterial contamination and temperature abuse contribute to significant levels of post-mortem TVB-N increases. Therefore, controlling spoilage factors through a good level of hygiene during processing and preservation techniques may contribute to a substantial reduction of TVB-N. Trimethylamine (TMA) constitutes a significant part of TVB-N. TMA and trimethylamine oxide (TMA-N-O) have been related to the pathogenesis of noncommunicable diseases, including atherosclerosis, cancers, and diabetes. Proposed methods for mitigation of TMA and TMA-N-O accumulation are discussed, which include a reduction in their daily dietary intake, control of internal production pathways by targeting gut microbiota, and inhibition of flavin monooxygenase 3 enzymes. The levels of TMA and TMA-N-O have significant health effects, and this should, therefore, be considered when evaluating meat quality and acceptability. Agreed international values for TVB-N and TMA in meat products are required. The role of feed, gut microbiota, and translocation of methylated amines to muscles in farmed animals requires further investigation.
Collapse
Affiliation(s)
| | - Stephen G Giteru
- Department of Food Science, University of Otago, Dunedin, New Zealand.,Food & Bio-based Products, AgResearch Limited, Tennent Drive, Palmerston North, 4410, New Zealand
| | - Benjamin W B Holman
- Centre for Red Meat and Sheep Development, NSW Department of Primary Industries, Cowra, New South Wales, Australia
| | - David L Hopkins
- Centre for Red Meat and Sheep Development, NSW Department of Primary Industries, Cowra, New South Wales, Australia
| |
Collapse
|
28
|
Zhou Y, Jin W, Xie F, Mao S, Cheng Y, Zhu W. The role of Methanomassiliicoccales in trimethylamine metabolism in the rumen of dairy cows. Animal 2021; 15:100259. [PMID: 34058595 DOI: 10.1016/j.animal.2021.100259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 04/19/2021] [Accepted: 04/22/2021] [Indexed: 12/26/2022] Open
Abstract
A considerable amount of trimethylamine (TMA) is likely generated in the rumen; however, its metabolism is still unclear. This study aimed to investigate the role of Methanomassiliicoccales (Mmc) in TMA metabolism in the rumen of dairy cows. Three experiments, two rumen in vitro fermentation trials and one dairy cow in vivo trial, were conducted. Four groups were set in Experiment 1: control, nitroglycerin (NG, a methanogen inhibitor), TMA (7.2 mmol/L), and TMA + NG. The methanogenic activity was completely inhibited in the NG group, and no methane production was observed in the NG and TMA + NG groups. The TMA content hardly reduced in the TMA + NG group (6.9 mmol/L) following a 2 d-incubation; in contrast, it demonstrated a significant reduction by 47.2% in the TMA group. Methanogen 16S rRNA gene sequencing and real-time PCR showed that the relative abundance of Mmc increased in the TMA group (P = 0.005). The increase was mainly attributed to two species-level taxa, Group 9 sp. ISO4-G1 and Group 10 sp. Four groups were set in Experiment 2: control, NG, choline (choline chloride, 7.2 mmol/L), and choline + NG. Choline was completely degraded in 24 h, and the TMA content reached the peak point (7.3 mmol/L) in the fermentation culture. The TMA content remained relatively stable in the choline + NG group following the peak point. However, it started to decrease after 24 h in the choline group, corresponding to the rapid increase in methane production and the abundance of Mmc. Eight mid-lactating, rumen-fistulated Holstein cows were randomly assigned to the control (n = 4) or choline (n = 4) group in Experiment 3: In the choline group, cows were gradually supplemented with 100-250 g/(cow·d) of choline chloride over 4 weeks. Compared to the control group, TMA accumulated in the rumen fluid, and the abundance of Mmc 16S rRNA gene and choline-degrading bacterial cutC gene increased in the rumen content in the choline group (P < 0.050). The trimethylamine N-oxide content in the plasma and milk of the dairy cows was approximately 10 times higher in the choline group than that in the control at the end of the experiment. These findings revealed that Mmc played an important role in the elimination of TMA in the rumen. The accumulation of TMA in the rumen would lead to a large amount of TMA absorbed into the blood stream of the dairy cows.
Collapse
Affiliation(s)
- Yang Zhou
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Wei Jin
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; National Center for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095, China; National Experimental Teaching Demonstration Center of Animal Science, Nanjing Agricultural University, Nanjing 210095, China.
| | - Fei Xie
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Shengyong Mao
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; National Center for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095, China; National Experimental Teaching Demonstration Center of Animal Science, Nanjing Agricultural University, Nanjing 210095, China
| | - Yanfen Cheng
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; National Center for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095, China; National Experimental Teaching Demonstration Center of Animal Science, Nanjing Agricultural University, Nanjing 210095, China
| | - Weiyun Zhu
- Laboratory of Gastrointestinal Microbiology, Jiangsu Key Laboratory of Gastrointestinal Nutrition and Animal Health, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; National Center for International Research on Animal Gut Nutrition, Nanjing Agricultural University, Nanjing 210095, China; National Experimental Teaching Demonstration Center of Animal Science, Nanjing Agricultural University, Nanjing 210095, China
| |
Collapse
|
29
|
Bekhit AEDA, Holman BW, Giteru SG, Hopkins DL. Total volatile basic nitrogen (TVB-N) and its role in meat spoilage: A review. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.01.006] [Citation(s) in RCA: 131] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
|
30
|
Meale SJ, Popova M, Saro C, Martin C, Bernard A, Lagree M, Yáñez-Ruiz DR, Boudra H, Duval S, Morgavi DP. Early life dietary intervention in dairy calves results in a long-term reduction in methane emissions. Sci Rep 2021; 11:3003. [PMID: 33542279 DOI: 10.1038/s41598-021-82084-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/15/2021] [Indexed: 02/06/2023] Open
Abstract
Recent evidence suggests that changes in microbial colonization of the rumen prior to weaning may imprint the rumen microbiome and impact phenotypes later in life. We investigated how dietary manipulation from birth influences growth, methane production, and gastrointestinal microbial ecology. At birth, 18 female Holstein and Montbéliarde calves were randomly assigned to either treatment or control (CONT). Treatment was 3-nitrooxypropanol (3-NOP), an investigational anti-methanogenic compound that was administered daily from birth until three weeks post-weaning (week 14). Samples of rumen fluid and faecal content were collected at weeks 1, 4, 11, 14, 23, and 60 of life. Calves were tested for methane emissions using the GreenFeed system during the post-weaning period (week 11–23 and week 56–60 of life). Calf physiological parameters (BW, ADG and individual VFA) were similar across groups throughout the trial. Treated calves showed a persistent reduction in methane emissions (g CH4/d) throughout the post-weaning period up to at least 1 year of life, despite treatment ceasing three weeks post-weaning. Similarly, despite variability in the abundance of individual taxa across weeks, the rumen bacterial, archaeal and fungal structure differed between CONT and 3-NOP calves across all weeks, as visualised using sparse-PLS-DA. Similar separation was also observed in the faecal bacterial community. Interestingly, despite modest modifications to the abundance of rumen microbes, the reductive effect of 3-NOP on methane production persisted following cessation of the treatment period, perhaps indicating a differentiation of the ruminal microbial ecosystem or a host response triggered by the treatment in the early development phase.
Collapse
|
31
|
Zhang YK, Zhang XX, Li FD, Li C, Li GZ, Zhang DY, Song QZ, Li XL, Zhao Y, Wang WM. Characterization of the rumen microbiota and its relationship with residual feed intake in sheep. Animal 2021; 15:100161. [PMID: 33785185 DOI: 10.1016/j.animal.2020.100161] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 11/29/2020] [Accepted: 11/30/2020] [Indexed: 10/22/2022] Open
Abstract
Feed efficiency is a highly important economic trait in sheep production and has a significant impact on the economic benefits of sheep farming. Microbial fermentation of the rumen has a vital role in the host's nutrition; the rumen microbiota might affect host feed efficiency. However, the relationship between the rumen microbiota and feed efficiency in sheep is unclear. In the present study, the microbiota of 195 Hu sheep was investigated and their residual feed intake (RFI), a commonly used measure of feed efficiency, was determined. From birth, all sheep were subjected to the same management practices. At slaughter, samples of liquid rumen contents were collected and subjected to amplicon sequencing for the 16S rDNA gene on the IonS5™XL platform. To identify the bacterial taxa differentially represented at the genus or higher taxonomy levels, we used linear discriminant analysis coupled with effect size and curve fitting. In the sheep rumen, the four most abundant phyla were Firmicutes, Bacteroidetes, Fibrobacteres, and Proteobacteria; and the dominant genera were unidentified Prevotellaceae, Fibrobacter, unidentified Lachnospiraceae, Saccharofermentans, and Succinivibrio. Pathway analysis of the 16S rDNA sequencing data from the rumen microbiota identified that carbohydrate metabolism was enriched. Using α-diversity analysis, we further identified that Observed species, ACE, Good's coverage, and Chao1 are more abundant (P < 0.01) in the low-RFI (L-RFI) group compared to the high-RFI (H-RFI) group. High-RFI sheep had a higher abundance of three bacterial taxa (Prevotellaceae, Negativicutes, and Selenomonadales), and one taxa was overrepresented in the L-RFI sheep (Succinivibrio), respectively. Furthermore, model fitting showed that Veillonellaceae, Sphaerochaeta, Negativibacillus, Saccharofermentans, and members of the Tenericutes, Kiritimatiellaeota, Deltaproteobacteria, and Campylobacterales were correlated with the sheep RFI classification and thus were indicative of a role in animal efficiency. Tax4Fun analysis revealed that metabolic pathways such as "energy metabolism," "metabolism of cofactors and vitamins," "poorly characterized," and "replication recombination and repair proteins" were enriched in the rumen from H-RFI sheep, and "genetic information processing" and "lipopolysaccharide biosynthesis" were overrepresented in L-RFI sheep rumen. In addition, six Kyoto Encyclopedia of Genes and Genomes orthology pathways were identified as different between H-RFI and L-RFI groups. In conclusion, the low RFI phenotype (efficient animals) consistently (or characteristically) exhibited a more abundant and diverse microbiome in sheep.
Collapse
Affiliation(s)
- Y K Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - X X Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China; Engineering Laboratory of Sheep Breeding and Reproduction Biotechnology in Gansu Province, Minqin Zhongtian Sheep Industry Co. Ltd, Minqin, Gansu 733300, China
| | - F D Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China; Engineering Laboratory of Sheep Breeding and Reproduction Biotechnology in Gansu Province, Minqin Zhongtian Sheep Industry Co. Ltd, Minqin, Gansu 733300, China; The State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu 730020, China
| | - C Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - G Z Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - D Y Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Q Z Song
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - X L Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - Y Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China
| | - W M Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China.
| |
Collapse
|
32
|
Moreira SM, de Oliveira Mendes TA, Santanta MF, Huws SA, Creevey CJ, Mantovani HC. Genomic and gene expression evidence of nonribosomal peptide and polyketide production among ruminal bacteria: a potential role in niche colonization? FEMS Microbiol Ecol 2020; 96:5673486. [PMID: 31825517 DOI: 10.1093/femsec/fiz198] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 12/09/2019] [Indexed: 01/21/2023] Open
Abstract
Genomic and transcriptomic analyses were performed to investigate nonribosomal peptide synthetases (NRPS) and polyketide synthases (PKS) in 310 genomes of ruminal/fecal microorganisms. A total of 119 biosynthetic genes potentially encoding distinct nonribosomal peptides (NRPs) and polyketides (PKs) were predicted in the ruminal microbial genomes and functional annotation separated these genes into 19 functional categories. The phylogenetic reconstruction of the 16S rRNA sequences coupled to the distribution of the three 'backbone' genes involved in NRPS and PKS biosyntheses suggested that these genes were not acquired through horizontal gene transfer. Metatranscriptomic analyses revealed that the predominant genes involved in the synthesis of NRPs and PKs were more abundant in sheep rumen datasets. Reads mapping to the NRPS and PKS biosynthetic genes were represented in the active ruminal microbial community, with transcripts being highly expressed in the bacterial community attached to perennial ryegrass, and following the main changes occurring between primary and secondary colonization of the forage incubated with ruminal fluid. This study is the first comprehensive characterization demonstrating the rich genetic capacity for NRPS and PKS biosyntheses within rumen bacterial genomes, which highlights the potential functional roles of secondary metabolites in the rumen ecosystem.
Collapse
Affiliation(s)
- Sofia Magalhães Moreira
- Departamento de Microbiologia, Universidade Federal de Viçosa, Av. P.H. Rolfs, s/n, Viçosa-MG, 36570-900, Brazil
| | | | - Mateus Ferreira Santanta
- Departamento de Microbiologia, Universidade Federal de Viçosa, Av. P.H. Rolfs, s/n, Viçosa-MG, 36570-900, Brazil
| | - Sharon A Huws
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast,University Rd, Belfast, BT7 1NN, UK
| | - Christopher J Creevey
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast,University Rd, Belfast, BT7 1NN, UK
| | - Hilário C Mantovani
- Departamento de Microbiologia, Universidade Federal de Viçosa, Av. P.H. Rolfs, s/n, Viçosa-MG, 36570-900, Brazil
| |
Collapse
|
33
|
Yu J, Cai L, Zhang J, Yang A, Wang Y, Zhang L, Guan LL, Qi D. Effects of Thymol Supplementation on Goat Rumen Fermentation and Rumen Microbiota In Vitro. Microorganisms 2020; 8:microorganisms8081160. [PMID: 32751619 PMCID: PMC7463607 DOI: 10.3390/microorganisms8081160] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 07/21/2020] [Accepted: 07/27/2020] [Indexed: 12/27/2022] Open
Abstract
This study was performed to explore the predominant responses of rumen microbiota with thymol supplementation as well as effective dose of thymol on rumen fermentation. Thymol at different concentrations, i.e., 0, 100 mg/L, 200 mg/L, and 400 mg/L (four groups × five replications) was applied for 24 h of fermentation in a rumen fluid incubation system. Illumina MiSeq sequencing was applied to investigate the ruminal microbes in addition to the examination of rumen fermentation. Thymol doses reached 200 mg/L and significantly decreased (p < 0.05) total gas production (TGP) and methane production; the production of total volatile fatty acids (VFA), propionate, and ammonia nitrogen, and the digestibility of dry matter and organic matter were apparently decreased (p < 0.05) when the thymol dose reached 400 mg/L. A thymol dose of 200 mg/L significantly affected (p < 0.05) the relative abundance of 14 genera of bacteria, three species of archaea, and two genera of protozoa. Network analysis showed that bacteria, archaea, and protozoa significantly correlated with methane production and VFA production. This study indicates an optimal dose of thymol at 200 mg/L to facilitate rumen fermentation, the critical roles of bacteria in rumen fermentation, and their interactions with the archaea and protozoa.
Collapse
Affiliation(s)
- Jiangkun Yu
- Department of Animal Nutrition and Feed Science, Huazhong Agricultural University, Wuhan 430070, China; (J.Y.); (L.C.); (J.Z.); (A.Y.); (Y.W.); (L.Z.)
| | - Liyuan Cai
- Department of Animal Nutrition and Feed Science, Huazhong Agricultural University, Wuhan 430070, China; (J.Y.); (L.C.); (J.Z.); (A.Y.); (Y.W.); (L.Z.)
| | - Jiacai Zhang
- Department of Animal Nutrition and Feed Science, Huazhong Agricultural University, Wuhan 430070, China; (J.Y.); (L.C.); (J.Z.); (A.Y.); (Y.W.); (L.Z.)
| | - Ao Yang
- Department of Animal Nutrition and Feed Science, Huazhong Agricultural University, Wuhan 430070, China; (J.Y.); (L.C.); (J.Z.); (A.Y.); (Y.W.); (L.Z.)
| | - Yanan Wang
- Department of Animal Nutrition and Feed Science, Huazhong Agricultural University, Wuhan 430070, China; (J.Y.); (L.C.); (J.Z.); (A.Y.); (Y.W.); (L.Z.)
| | - Lei Zhang
- Department of Animal Nutrition and Feed Science, Huazhong Agricultural University, Wuhan 430070, China; (J.Y.); (L.C.); (J.Z.); (A.Y.); (Y.W.); (L.Z.)
| | - Le Luo Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada;
| | - Desheng Qi
- Department of Animal Nutrition and Feed Science, Huazhong Agricultural University, Wuhan 430070, China; (J.Y.); (L.C.); (J.Z.); (A.Y.); (Y.W.); (L.Z.)
- Correspondence: ; Tel.: +86-27-87281793
| |
Collapse
|
34
|
Zheng H, Wang H, Dewhurst RJ, Roehe R. Improving the Inference of Co-Occurrence Networks in the Bovine Rumen Microbiome. IEEE/ACM Trans Comput Biol Bioinform 2020; 17:858-867. [PMID: 30403635 DOI: 10.1109/tcbb.2018.2879342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The importance of the composition and signature of rumen microbial communities has gained increasing attention. One of the key techniques was to infer co-abundance networks through correlation analysis based on relative abundances. While substantial insights and progress have been made, it has been found that due to the compositional nature of data, correlation analysis derived from relative abundance could produce misleading results and spurious associations. In this study, we proposed the use of a framework including a compendium of two correlation measures and three dissimilarity metrics in an attempt to mitigate the compositional effect in the inference of significant associations in the bovine rumen microbiome. We tested the framework on rumen microbiome data including both 16S rRNA and KEGG genes associated with methane production in cattle. Based on the identification of significant positive and negative associations supported by multiple metrics, two co-occurrence networks, e.g., co-presence and mutual-exclusion networks, were constructed. Significant modules associated with methane emissions were identified. In comparison to previous studies, our analysis demonstrates that deriving microbial associations based on the correlations between relative abundances may not only lead to missing information but also produce spurious associations. To bridge together different co-presence and mutual-exclusion relations, a multiplex network model has been proposed for integrative analysis of co-occurrence networks which has great potential to support the prediction of animal phytotypes and to provide additional insights into biological mechanisms of the microbiome associated with the traits.
Collapse
|
35
|
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.
Collapse
|
36
|
Cui Z, Wu S, Liu S, Sun L, Feng Y, Cao Y, Chai S, Zhang G, Yao J. From Maternal Grazing to Barn Feeding During Pre-weaning Period: Altered Gastrointestinal Microbiota Contributes to Change the Development and Function of the Rumen and Intestine of Yak Calves. Front Microbiol 2020; 11:485. [PMID: 32308649 PMCID: PMC7145940 DOI: 10.3389/fmicb.2020.00485] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 03/05/2020] [Indexed: 12/30/2022] Open
Abstract
Understanding the altered gastrointestinal microbiota is important to illuminate effects of maternal grazing (MG: maternally nursed and grazed) and barn feeding (BF: supplied milk replacer, starter feed, and alfalfa hay) on the performance and immune function of yak calves. Compared with the MG group, the significantly increased body weight, body height, body length, chest girth, and organ development of liver, spleen, and thymus were identified in the BF group, which were resulted from the significantly increased dry matter intake, increased concentrations of propionate, butyrate, isobutyrate, and valerate, increased ruminal pectinase, duodenal α-amylase, jejunal α-amylase and trypsin, and ileal trypsin, and promoted gastrointestinal epithelial development. Furthermore, genera of Sharpea, Sphingomonas, Atopobium, Syntrophococcus, Clostridium_XIVb, Acinetobacter, Oscillibacter, Dialister, Desulfovibrio, Bacteroides, Lachnospiracea_incertae_sedis, and Clostridium_sensu_stricto, which were involved in utilization of non-fibrous carbohydrate and further beneficial to improve the gastrointestinal digestion, development, and immune functions, were significantly increased in the BF group. Meanwhile, the significantly enhanced ruminal epithelial immune functions and intestinal immune functions based on enhanced ruminal immune related pathway, duodenal IL-1β, jejunal IL-1β, IL-2, TNF-α, and IFN-γ, and ileal IL-1β were identified in the BF group, which also may induced by the increased abundance of gastrointestinal microbiota. Overall, barn feeding significantly increased the diversity of species and abundance of microbes which used different carbohydrates and further benefit to the growth and immune function of yak calves.
Collapse
Affiliation(s)
- Zhanhong Cui
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.,Qinghai Academy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining, China
| | - Shengru Wu
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Shujie Liu
- Qinghai Academy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining, China
| | - Lu Sun
- Qinghai Academy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining, China
| | - Yuzhe Feng
- Qinghai Academy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining, China
| | - Yangchun Cao
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Shatuo Chai
- Qinghai Academy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining, China
| | - Guomo Zhang
- Datong Yak Breeding Farm of Qinghai Province, Xining, China
| | - Junhu Yao
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| |
Collapse
|
37
|
Noecker C, Chiu HC, McNally CP, Borenstein E. Defining and Evaluating Microbial Contributions to Metabolite Variation in Microbiome-Metabolome Association Studies. mSystems 2019; 4:e00579-19. [PMID: 31848305 PMCID: PMC6918031 DOI: 10.1128/msystems.00579-19] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Accepted: 11/20/2019] [Indexed: 01/24/2023] Open
Abstract
Correlation-based analysis of paired microbiome-metabolome data sets is becoming a widespread research approach, aiming to comprehensively identify microbial drivers of metabolic variation. To date, however, the limitations of this approach and other microbiome-metabolome analysis methods have not been comprehensively evaluated. To address this challenge, we have introduced a mathematical framework to quantify the contribution of each taxon to metabolite variation based on uptake and secretion fluxes. We additionally used a multispecies metabolic model to simulate simplified gut communities, generating idealized microbiome-metabolome data sets. We then compared observed taxon-metabolite correlations in these data sets to calculated ground truth taxonomic contribution values. We found that in simulations of both a representative simple 10-species community and complex human gut microbiota, correlation-based analysis poorly identified key contributors, with an extremely low predictive value despite the idealized setting. We further demonstrate that the predictive value of correlation analysis is strongly influenced by both metabolite and taxon properties, as well as by exogenous environmental variation. We finally discuss the practical implications of our findings for interpreting microbiome-metabolome studies.IMPORTANCE Identifying the key microbial taxa responsible for metabolic differences between microbiomes is an important step toward understanding and manipulating microbiome metabolism. To achieve this goal, researchers commonly conduct microbiome-metabolome association studies, comprehensively measuring both the composition of species and the concentration of metabolites across a set of microbial community samples and then testing for correlations between microbes and metabolites. Here, we evaluated the utility of this general approach by first developing a rigorous mathematical definition of the contribution of each microbial taxon to metabolite variation and then examining these contributions in simulated data sets of microbial community metabolism. We found that standard correlation-based analysis of our simulated microbiome-metabolome data sets can identify true contributions with very low predictive value and that its performance depends strongly on specific properties of both metabolites and microbes, as well as on those of the surrounding environment. Combined, our findings can guide future interpretation and validation of microbiome-metabolome studies.
Collapse
Affiliation(s)
- Cecilia Noecker
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Hsuan-Chao Chiu
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Colin P McNally
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Elhanan Borenstein
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
- Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USA
- Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Santa Fe Institute, Santa Fe, New Mexico, USA
| |
Collapse
|
38
|
Kelly WJ, Leahy SC, Kamke J, Soni P, Koike S, Mackie R, Seshadri R, Cook GM, Morales SE, Greening C, Attwood GT. Occurrence and expression of genes encoding methyl-compound production in rumen bacteria. Anim Microbiome 2019; 1:15. [PMID: 33499937 PMCID: PMC7807696 DOI: 10.1186/s42523-019-0016-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 10/17/2019] [Indexed: 12/22/2022] Open
Abstract
Background Digestive processes in the rumen lead to the release of methyl-compounds, mainly methanol and methylamines, which are used by methyltrophic methanogens to form methane, an important agricultural greenhouse gas. Methylamines are produced from plant phosphatidylcholine degradation, by choline trimethylamine lyase, while methanol comes from demethoxylation of dietary pectins via pectin methylesterase activity. We have screened rumen metagenomic and metatranscriptomic datasets, metagenome assembled genomes, and the Hungate1000 genomes to identify organisms capable of producing methyl-compounds. We also describe the enrichment of pectin-degrading and methane-forming microbes from sheep rumen contents and the analysis of their genomes via metagenomic assembly. Results Screens of metagenomic data using the protein domains of choline trimethylamine lyase (CutC), and activator protein (CutD) found good matches only to Olsenella umbonata and to Caecibacter, while the Hungate1000 genomes and metagenome assembled genomes from the cattle rumen found bacteria within the phyla Actinobacteria, Firmicutes and Proteobacteria. The cutC and cutD genes clustered with genes that encode structural components of bacterial microcompartment proteins. Prevotella was the dominant genus encoding pectin methyl esterases, with smaller numbers of sequences identified from other fibre-degrading rumen bacteria. Some large pectin methyl esterases (> 2100 aa) were found to be encoded in Butyrivibrio genomes. The pectin-utilising, methane-producing consortium was composed of (i) a putative pectin-degrading bacterium (phylum Tenericutes, class Mollicutes), (ii) a galacturonate-using Sphaerochaeta sp. predicted to produce acetate, lactate, and ethanol, and (iii) a methylotrophic methanogen, Methanosphaera sp., with the ability to form methane via a primary ethanol-dependent, hydrogen-independent, methanogenesis pathway. Conclusions The main bacteria that produce methyl-compounds have been identified in ruminants. Their enzymatic activities can now be targeted with the aim of finding ways to reduce the supply of methyl-compound substrates to methanogens, and thereby limit methylotrophic methanogenesis in the rumen.
Collapse
Affiliation(s)
| | - Sinead C Leahy
- AgResearch Ltd, Grasslands Research Centre, Palmerston North, New Zealand
| | - Janine Kamke
- Horizons Regional Council, Palmerston North, New Zealand
| | - Priya Soni
- AgResearch Ltd, Grasslands Research Centre, Palmerston North, New Zealand
| | | | | | - Rekha Seshadri
- Department of Energy, Joint Genome Institute, San Francisco, CA, USA
| | | | | | | | - Graeme T Attwood
- AgResearch Ltd, Grasslands Research Centre, Palmerston North, New Zealand.
| |
Collapse
|
39
|
Liang Y, Tarique I, Vistro WA, Liu Y, Wang Z, haseeb A, Gandahi NS, Iqbal A, Wang S, An T, Yang H, Chen Q, Yang P. Age-associated changes of the intrinsic nervous system in relation with interstitial cells in the pre-weaning goat rumen. Aging (Albany NY) 2019; 11:4641-4653. [PMID: 31305258 PMCID: PMC6660047 DOI: 10.18632/aging.102076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 07/01/2019] [Indexed: 05/04/2023]
Abstract
In this study, we investigated the neural changes and their relationships with interstitial cells (ICs) in the rumen of pre-weaning goats by transmission electron microscopy, western blot and immunofluorescence (antibody: general neuronal marker-Protein Gene Product (PGP9.5)/ IC marker-vimentin). The immunofluorescence results showed that PGP9.5-positive reaction was widely distributed in neuronal soma (NS) and nerve fibre (NF). The NSs were observed in the ganglia of the myenteric plexus (MP) but not in the submucosal plexus. The mean optical density (MOD) of the whole of PGP9.5-positive nerves and the protein expression level of PGP.5 in the rumen wall both decreased significantly with age. However an obvious increase MOD of PGP.5-positive NFs within the rumen epithelium were observed. In the MP, the nerves and ICs were interwoven to form two complex networks that gradually tightened with age. Furthermore, NSs and nerve trunks were surrounded by a ring-boundary layer consisting of several ICs that became physically closer with aging. Moreover, ICs were located nearby NFs within the ML, forming connections between ICs, smooth muscle cells and axons. This study describes the pattern of neural distribution and its association with ICs in the developing rumen which shed light on the postpartum development of ruminants.
Collapse
Affiliation(s)
- Yu Liang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Imran Tarique
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Waseem Ail Vistro
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Yifei Liu
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Ziyu Wang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Abdul haseeb
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Noor Samad Gandahi
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Adeela Iqbal
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Siyi Wang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Tianci An
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Huan Yang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Qiusheng Chen
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Ping Yang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| |
Collapse
|
40
|
Wallace RJ, Sasson G, Garnsworthy PC, Tapio I, Gregson E, Bani P, Huhtanen P, Bayat AR, Strozzi F, Biscarini F, Snelling TJ, Saunders N, Potterton SL, Craigon J, Minuti A, Trevisi E, Callegari ML, Cappelli FP, Cabezas-Garcia EH, Vilkki J, Pinares-Patino C, Fliegerová KO, Mrázek J, Sechovcová H, Kopečný J, Bonin A, Boyer F, Taberlet P, Kokou F, Halperin E, Williams JL, Shingfield KJ, Mizrahi I. A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions. Sci Adv 2019; 5:eaav8391. [PMID: 31281883 PMCID: PMC6609165 DOI: 10.1126/sciadv.aav8391] [Citation(s) in RCA: 169] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 05/30/2019] [Indexed: 05/19/2023]
Abstract
A 1000-cow study across four European countries was undertaken to understand to what extent ruminant microbiomes can be controlled by the host animal and to identify characteristics of the host rumen microbiome axis that determine productivity and methane emissions. A core rumen microbiome, phylogenetically linked and with a preserved hierarchical structure, was identified. A 39-member subset of the core formed hubs in co-occurrence networks linking microbiome structure to host genetics and phenotype (methane emissions, rumen and blood metabolites, and milk production efficiency). These phenotypes can be predicted from the core microbiome using machine learning algorithms. The heritable core microbes, therefore, present primary targets for rumen manipulation toward sustainable and environmentally friendly agriculture.
Collapse
Affiliation(s)
- R. John Wallace
- The Rowett Institute, University of Aberdeen, Ashgrove Road West, Aberdeen AB25 2ZD, UK
- Corresponding author. (R.J.W.); (I.M.)
| | - Goor Sasson
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Be’er Sheva, Israel
| | - Philip C. Garnsworthy
- University of Nottingham, School of Biosciences, Sutton Bonington Campus, Loughborough LE12 5RD, UK
| | - Ilma Tapio
- Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | - Emma Gregson
- University of Nottingham, School of Biosciences, Sutton Bonington Campus, Loughborough LE12 5RD, UK
| | - Paolo Bani
- Department of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
| | - Pekka Huhtanen
- Swedish University of Agricultural Sciences, Department of Agriculture for Northern Sweden, S-90 183 Umeå, Sweden
| | - Ali R. Bayat
- Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | | | | | - Timothy J. Snelling
- The Rowett Institute, University of Aberdeen, Ashgrove Road West, Aberdeen AB25 2ZD, UK
| | - Neil Saunders
- University of Nottingham, School of Biosciences, Sutton Bonington Campus, Loughborough LE12 5RD, UK
| | - Sarah L. Potterton
- University of Nottingham, School of Biosciences, Sutton Bonington Campus, Loughborough LE12 5RD, UK
| | - James Craigon
- University of Nottingham, School of Biosciences, Sutton Bonington Campus, Loughborough LE12 5RD, UK
| | - Andrea Minuti
- Department of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
| | - Erminio Trevisi
- Department of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
| | - Maria L. Callegari
- Institute of Microbiology, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
| | - Fiorenzo Piccioli Cappelli
- Department of Animal Science, Food and Nutrition-DIANA, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy
| | - Edward H. Cabezas-Garcia
- Swedish University of Agricultural Sciences, Department of Agriculture for Northern Sweden, S-90 183 Umeå, Sweden
| | - Johanna Vilkki
- Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | - Cesar Pinares-Patino
- Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | - Kateřina O. Fliegerová
- Institute of Animal Physiology and Genetics, CAS, v.v.i., Vídeňská 1083, Prague 14220, Czech Republic
| | - Jakub Mrázek
- Institute of Animal Physiology and Genetics, CAS, v.v.i., Vídeňská 1083, Prague 14220, Czech Republic
| | - Hana Sechovcová
- Institute of Animal Physiology and Genetics, CAS, v.v.i., Vídeňská 1083, Prague 14220, Czech Republic
| | - Jan Kopečný
- Institute of Animal Physiology and Genetics, CAS, v.v.i., Vídeňská 1083, Prague 14220, Czech Republic
| | - Aurélie Bonin
- Laboratoire d'Ecologie Alpine, Domaine Universitaire de St Martin d'Hères CNRS, 38041 Grenoble, France
| | - Frédéric Boyer
- Laboratoire d'Ecologie Alpine, Domaine Universitaire de St Martin d'Hères CNRS, 38041 Grenoble, France
| | - Pierre Taberlet
- Laboratoire d'Ecologie Alpine, Domaine Universitaire de St Martin d'Hères CNRS, 38041 Grenoble, France
| | - Fotini Kokou
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Be’er Sheva, Israel
| | - Eran Halperin
- Departments of Computer Science, Computational Medicine, Human Genetics, and Anesthesiology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | | | - Kevin J. Shingfield
- Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, Finland
| | - Itzhak Mizrahi
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Be’er Sheva, Israel
- Corresponding author. (R.J.W.); (I.M.)
| |
Collapse
|
41
|
Liu C, Wu H, Liu S, Chai S, Meng Q, Zhou Z. Dynamic Alterations in Yak Rumen Bacteria Community and Metabolome Characteristics in Response to Feed Type. Front Microbiol 2019; 10:1116. [PMID: 31191470 PMCID: PMC6538947 DOI: 10.3389/fmicb.2019.01116] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 05/02/2019] [Indexed: 01/07/2023] Open
Abstract
Current knowledge about the relationships between ruminal bacterial communities and metabolite profiles in the yak rumen is limited. This is due to differences in the nutritional and metabolic features between yak and other ordinary cattle combined with difficulties associated with farm-based research and a lack of technical guidance. A comprehensive analysis of the composition and alterations in ruminal metabolites is required to advance the development of modern yak husbandry. In the current study, we characterized the effect of feed type on the ruminal fluid microbiota and metabolites in yak using 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC-MS). Bacteroidetes and Firmicutes were the predominant bacterial phyla in the yak rumen. At the genus level, the relative abundance of Bacteroidales BS11 gut group, Prevotellaceae UCG-003, Ruminococcaceae UCG-011, Bacteroidales RF16 group and Ruminococcaceae UCG-010 was significantly (P < 0.01) higher in the forage group compared to that in the concentrate group, while the concentrate group harbored higher proportions of Bacteroidales S24-7 group, Ruminococcaceae NK4A214, Succiniclasticum and Ruminococcus 2. Yak rumen metabolomics analysis combined with enrichment analysis revealed that feed type altered the concentrations of ruminal metabolites as well as the metabolic pattern, and significantly (P < 0.01) affected the concentrations of ruminal metabolites involved in protein digestion and absorption (e.g., L-arginine, ornithine, L-threonine, L-proline and β-alanine), purine metabolism (e.g., xanthine, hypoxanthine, deoxyadenosine and deoxyadenosine monophosphate) and fatty acid biosynthesis (e.g., stearic acid, myristic acid and arachidonic acid). Correlation analysis of the association of microorganisms with metabolite features provides us with a comprehensive understanding of the composition and function of microbial communities. Associations between utilization or production were widely identified between affected microbiota and certain metabolites, and these findings will contribute to the direction of future research in yak.
Collapse
Affiliation(s)
- Chang Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hao Wu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shujie Liu
- Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, China
| | - Shatuo Chai
- Qinghai Academy of Animal and Veterinary Sciences, Qinghai University, Xining, China
| | - Qingxiang Meng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zhenming Zhou
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China,*Correspondence: Zhenming Zhou
| |
Collapse
|
42
|
Liu Y, Chen X, Zhao W, Lang M, Zhang X, Wang T, Farouk MH, Zhen Y, Qin G. Effects of yeast culture supplementation and the ratio of non-structural carbohydrate to fat on rumen fermentation parameters and bacterial-community composition in sheep. Anim Feed Sci Technol 2019; 249:62-75. [DOI: 10.1016/j.anifeedsci.2019.02.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
43
|
Clemmons BA, Voy BH, Myer PR. Altering the Gut Microbiome of Cattle: Considerations of Host-Microbiome Interactions for Persistent Microbiome Manipulation. Microb Ecol 2019; 77:523-536. [PMID: 30033500 DOI: 10.1007/s00248-018-1234-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 07/16/2018] [Indexed: 06/08/2023]
Abstract
The beef cattle industry represents a significant portion of the USA's agricultural sect, with beef cattle accounting for the most red meat consumed in the USA. Feed represents the largest input cost in the beef industry, accounting for approximately 70% of total input cost. Given that, novel methods need to be employed to optimize feed efficiency in cattle to reduce monetary cost as well as environmental cost associated with livestock industries, such as methane production and nitrogen release into the environment. The rumen microbiome contributes to feed efficiency by breaking down low-quality feedstuffs into energy substrates that can subsequently be utilized by the host animal. Attempts to manipulate the rumen microbiome have been met with mixed success, though persistent changes have not yet been achieved beyond changing diet. Recent technological advances have made analyzing host-wide effects of the rumen microbiome possible, as well as provided finer resolution of those effects. This manuscript reviews contributing factors to the rumen microbiome establishment or re-establishment following rumen microbiome perturbation, as well as host-microbiome interactions that may be responsible for possible host specificity of the rumen microbiome. Understanding and accounting for the variety of factors contributing to rumen microbiome establishment or re-establishment in cattle will ultimately lead to identification of biomarkers of feed efficiency that will result in improved selection criteria, as well as aid to determine methods for persistent microbiome manipulation to optimize production phenotypes.
Collapse
Affiliation(s)
- Brooke A Clemmons
- Department of Animal Science, University of Tennessee Institute of Agriculture, Knoxville, TN, USA
| | - Brynn H Voy
- Department of Animal Science, University of Tennessee Institute of Agriculture, Knoxville, TN, USA
| | - Phillip R Myer
- Department of Animal Science, University of Tennessee Institute of Agriculture, Knoxville, TN, USA.
| |
Collapse
|
44
|
Li Z, Deng Q, Liu Y, Yan T, Li F, Cao Y, Yao J. Dynamics of methanogenesis, ruminal fermentation and fiber digestibility in ruminants following elimination of protozoa: a meta-analysis. J Anim Sci Biotechnol 2018; 9:89. [PMID: 30568796 DOI: 10.1186/s40104-018-0305-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 11/05/2018] [Indexed: 11/10/2022] Open
Abstract
Background Ruminal microbes are vital to the conversion of lignocellulose-rich plant materials into nutrients for ruminants. Although protozoa play a key role in linking ruminal microbial networks, the contribution of protozoa to rumen fermentation remains controversial; therefore, this meta-analysis was conducted to quantitatively summarize the temporal dynamics of methanogenesis, ruminal volatile fatty acid (VFA) profiles and dietary fiber digestibility in ruminants following the elimination of protozoa (also termed defaunation). A total of 49 studies from 22 publications were evaluated. Results The results revealed that defaunation reduced methane production and shifted ruminal VFA profiles to consist of more propionate and less acetate and butyrate, but with a reduced total VFA concentration and decreased dietary fiber digestibility. However, these effects were diminished linearly, at different rates, with time during the first few weeks after defaunation, and eventually reached relative stability. The acetate to propionate ratio and methane production were increased at 7 and 11 wk after defaunation, respectively. Conclusions Elimination of protozoa initially shifted the rumen fermentation toward the production of more propionate and less methane, but eventually toward the production of less propionate and more methane over time.
Collapse
|
45
|
Abstract
Rumen microbiome profiling uses 16S rRNA (18S rRNA, internal transcribed spacer) gene sequencing, a method that usually sequences a small portion of a single gene and is often biased and varies between different laboratories. Functional information can be inferred from this data, but only for those that are closely related to known annotated species, and even then may not truly reflect the function performed within the environment being studied. Genome sequencing of isolates and metagenome-assembled genomes has now reached a stage where representation of the majority of rumen bacterial genera are covered, but this still only represents a portion of rumen microbial species. The creation of a microbial genome (bins) database with associated functional annotations will provide a consistent reference to allow mapping of RNA-Seq reads for functional gene analysis from within the rumen microbiome. The integration of multiple omic analytics is linking functional gene activity, metabolic pathways and rumen metabolites with the responsible microbiota, supporting our biological understanding of the rumen system. The application of these techniques has advanced our understanding of the major microbial populations and functional pathways that are used in relation to lower methane emissions, higher feed efficiencies and responses to different feeding regimes. Continued and more precise use of these tools will lead to a detailed and comprehensive understanding of compositional and functional capacity and design of techniques for the directed intervention and manipulation of the rumen microbiota towards a desired state.
Collapse
|
46
|
Chellapandi P, Bharathi M, Sangavai C, Prathiviraj R. Methanobacterium formicicum as a target rumen methanogen for the development of new methane mitigation interventions: A review. Vet Anim Sci 2018; 6:86-94. [PMID: 32734058 PMCID: PMC7386643 DOI: 10.1016/j.vas.2018.09.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Revised: 08/29/2018] [Accepted: 09/12/2018] [Indexed: 12/18/2022] Open
Abstract
Methanobacterium formicicum (Methanobacteriaceae family) is an endosymbiotic methanogenic Archaean found in the digestive tracts of ruminants and elsewhere. It has been significantly implicated in global CH4 emission during enteric fermentation processes. In this review, we discuss current genomic and metabolic aspects of this microorganism for the purpose of the discovery of novel veterinary therapeutics. This microorganism encompasses a typical H2 scavenging system, which facilitates a metabolic symbiosis across the H2 producing cellulolytic bacteria and fumarate reducing bacteria. To date, five genome-scale metabolic models (iAF692, iMG746, iMB745, iVS941 and iMM518) have been developed. These metabolic reconstructions revealed the cellular and metabolic behaviors of methanogenic archaea. The characteristics of its symbiotic behavior and metabolic crosstalk with competitive rumen anaerobes support understanding of the physiological function and metabolic fate of shared metabolites in the rumen ecosystem. Thus, systems biological characterization of this microorganism may provide a new insight to realize its metabolic significance for the development of a healthy microbiota in ruminants. An in-depth knowledge of this microorganism may allow us to ensure a long term sustainability of ruminant-based agriculture.
Collapse
Affiliation(s)
- P Chellapandi
- Molecular Systems Engineering Lab, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu 620 024, India
| | - M Bharathi
- Molecular Systems Engineering Lab, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu 620 024, India
| | - C Sangavai
- Molecular Systems Engineering Lab, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu 620 024, India
| | - R Prathiviraj
- Molecular Systems Engineering Lab, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli, Tamil Nadu 620 024, India
| |
Collapse
|
47
|
Matthews C, Crispie F, Lewis E, Reid M, O’Toole PW, Cotter PD. The rumen microbiome: a crucial consideration when optimising milk and meat production and nitrogen utilisation efficiency. Gut Microbes 2018; 10:115-132. [PMID: 30207838 PMCID: PMC6546327 DOI: 10.1080/19490976.2018.1505176] [Citation(s) in RCA: 143] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Methane is generated in the foregut of all ruminant animals by the microorganisms present. Dietary manipulation is regarded as the most effective and most convenient way to reduce methane emissions (and in turn energy loss in the animal) and increase nitrogen utilization efficiency. This review examines the impact of diet on bovine rumen function and outlines what is known about the rumen microbiome. Our understanding of this area has increased significantly in recent years due to the application of omics technologies to determine microbial composition and functionality patterns in the rumen. This information can be combined with data on nutrition, rumen physiology, nitrogen excretion and/or methane emission to provide comprehensive insights into the relationship between rumen microbial activity, nitrogen utilisation efficiency and methane emission, with an ultimate view to the development of new and improved intervention strategies.
Collapse
Affiliation(s)
- Chloe Matthews
- Food Biosciences Department, Teagasc Food Research Centre, Co. Cork, Ireland,Teagasc, Animal & Grassland Research and Innovation Centre, Co. Cork, Ireland, Ireland,Nutribio, Co. Cork,School of Microbiology and Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland
| | - Fiona Crispie
- Food Biosciences Department, Teagasc Food Research Centre, Co. Cork, Ireland,Teagasc, Animal & Grassland Research and Innovation Centre, Co. Cork, Ireland, Ireland,Nutribio, Co. Cork,School of Microbiology and Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland
| | - Eva Lewis
- Food Biosciences Department, Teagasc Food Research Centre, Co. Cork, Ireland,Teagasc, Animal & Grassland Research and Innovation Centre, Co. Cork, Ireland, Ireland,Nutribio, Co. Cork,School of Microbiology and Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland
| | - Michael Reid
- Food Biosciences Department, Teagasc Food Research Centre, Co. Cork, Ireland,Teagasc, Animal & Grassland Research and Innovation Centre, Co. Cork, Ireland, Ireland,Nutribio, Co. Cork,School of Microbiology and Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland
| | - Paul W. O’Toole
- Food Biosciences Department, Teagasc Food Research Centre, Co. Cork, Ireland,Teagasc, Animal & Grassland Research and Innovation Centre, Co. Cork, Ireland, Ireland,Nutribio, Co. Cork,School of Microbiology and Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland
| | - Paul D. Cotter
- Food Biosciences Department, Teagasc Food Research Centre, Co. Cork, Ireland,Teagasc, Animal & Grassland Research and Innovation Centre, Co. Cork, Ireland, Ireland,Nutribio, Co. Cork,School of Microbiology and Alimentary Pharmabiotic Centre, University College Cork, Cork, Ireland,CONTACT Paul D. Cotter
| |
Collapse
|
48
|
Abstract
Cultivation of undescribed rumen microorganisms is one of the most important tasks in rumen microbiology. In this study, we aimed to discover the potential of culturomics for characterizing the rumen microbiome and for identifying factors, specifically sample dilution and media type, which affect microbial richness on agar plates. Our cultivation experiment captured 23% of all operational taxonomic units (OTUs) found in the rumen microbiome in this study. The use of different media increased the number of cultured OTUs by up to 40%. Sample dilution had the strongest effect on increasing richness on the plates, while abundance and phylogeny were the main factors determining cultivability of rumen microbes. Our findings from phylogenetic analysis of cultured OTUs on the lower branches of the phylogenetic tree suggest that multifactorial traits govern cultivability. Interestingly, most of our cultured OTUs belonged to the rare rumen biosphere. These cultured OTUs could not be detected in the rumen microbiome, even when we surveyed it across a 38 rumen microbiome samples. These findings add another unique dimension to the complexity of the rumen microbiome and suggest that a large number of different organisms can be cultured in a single cultivation effort.
Collapse
Affiliation(s)
- Tamar Zehavi
- Institute of Natural Sciences, Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Maraike Probst
- Institute of Natural Sciences, Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Itzhak Mizrahi
- Institute of Natural Sciences, Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| |
Collapse
|
49
|
Lei Y, Zhang K, Guo M, Li G, Li C, Li B, Yang Y, Chen Y, Wang X. Exploring the Spatial-Temporal Microbiota of Compound Stomachs in a Pre-weaned Goat Model. Front Microbiol 2018; 9:1846. [PMID: 30158908 PMCID: PMC6104157 DOI: 10.3389/fmicb.2018.01846] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 07/24/2018] [Indexed: 12/16/2022] Open
Abstract
Ruminant animals possess a characteristic four-compartment stomach (rumen, reticulum, omasum, and abomasum) that is specialized for pre-intestinal digestion of plant materials. Of these four compartments, the rumen is the largest. The rumen's diverse microbial community has been well studied. However, the current understanding of microbial profiles in the reticulum, omasum and abomasum are lacking. In the present study, fluid samples from the reticulum, omasum, and abomasum of goats at 3, 7, 14, 21, 28, 42, and 56 days after birth, as well as the negative controls (NC) used for microbial DNA extraction, were subjected to 16S rRNA sequencing. By filtering operational taxonomic units (OTUs) in NC, distinct temporal distributions of microbes were observed in the different compartments, we showed that the OTUs in control samples had a large effect to the samples with low microbial density. In addition, Proteobacteria gradually decreased with age from days 3 to 56 in all three compartments, and the relative abundance of Bacteroidetes increased from 24.15% (Day 3) to 52.03% (Day 56) in abomasum. Network analysis revealed that Prevotellaceae_UGG-03 and Rikenellaceae_RC9 were positively correlated with Prevotella_1, lending support to the well understood fact that cellulose is well digested in compound stomachs prior to the rumen. Pathway analysis revealed that gene expression in abomasum at Day 3 were primarily related to Glycolysis/Gluconeogenesis and Pyruvate metabolism, suggesting that colostrum digestion is the dominant function of the abomasum at an early age. These findings combined with other recent rumen microbiota data show that the microbiome landscape represents three distinct stages in ruminant stomachs. The first stage is to gain access to external microorganisms at Day 0-14, the secondary stage is for microbial transition at Day 14-28, and the third stage is for exogenous and endogenous microbial colonization beyond Day 28 of age. Our results provide insight into microbiota dynamics in ruminant stomachs, and will facilitate efforts for the maintenance of gastrointestinal balance and intervention with starter diets in juvenile ruminants during early development.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | - Xiaolong Wang
- College of Animal Science and Technology, Northwest A&F University, Xianyang, China
| |
Collapse
|
50
|
Saro C, Hohenester UM, Bernard M, Lagrée M, Martin C, Doreau M, Boudra H, Popova M, Morgavi DP. Effectiveness of Interventions to Modulate the Rumen Microbiota Composition and Function in Pre-ruminant and Ruminant Lambs. Front Microbiol 2018; 9:1273. [PMID: 29967596 PMCID: PMC6015893 DOI: 10.3389/fmicb.2018.01273] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 05/24/2018] [Indexed: 11/24/2022] Open
Abstract
Modulating the assembly of the ruminal microbiota might have practical implications in production. We tested how an early-life dietary intervention in lambs influences the diversity and function of the ruminal microbiota during and after the intervention. Microbiota resilience during a repeated dietary intervention was also tested. The treatment, aiming to mitigate enteric methane emissions, combined garlic essential oil and linseed oil. Fifty-six lambs and their dams were allocated to two groups and treatment (T1) or placebo (C1) was drenched from birth until 10 weeks of life. Lambs were weaned at 8 weeks. From 16 to 20 weeks, lambs in each group were divided in two subgroups that received (T1–T2 and C1–T2) or not (T1–C2 and C1–C2) the same treatment. Measurements were done at 8, 14, and 20 weeks. Average daily gain was similar between groups. Methane production was reduced by treatment at 8 and 20 weeks but at 14 weeks it was similar between C1 and T1. Interestingly, early-life treated lambs displayed a numerical increase (P = 0.12) in methane emissions at 20 weeks compared with non-treated lambs. Concentration of VFA was not affected by the intervention at 8 or 14 weeks but a lower concentration was observed in T2 lambs compared with C2 at week 20. Metataxonomics (rRNA gene) revealed differences in archaeal communities between groups of lambs when treatment was applied (weeks 8 and 20); whereas, in accord with methane emissions, these differences disappeared when treatment was discontinued (week 14). Protozoal community structure was not affected by treatment. In contrast, bacterial community structure differed between treated and non-treated lambs during and after the intervention. Rumen and urine LC-MS and NMR metabolomics at week 20 separated C2 from T2 lambs and correlation analysis highlighted interactions between microbes and metabolites, notably that of methylated compounds and Methanomassiliicocceae methanogens. This study demonstrates that a long-term early-life intervention induced modifications in the composition of the rumen bacterial community that persisted after the intervention ceased with little or no effect on archaeal and protozoal communities. However, there was no persistency of the early-life intervention on methanogenesis indicating resilience for this function.
Collapse
Affiliation(s)
- Cristina Saro
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Ulli M Hohenester
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | | | - Marie Lagrée
- Université Clermont Auvergne - CNRS - SIGMA-Clermont, Institut de Chimie de Clermont-Ferrand, Clermont-Ferrand, France.,Université Clermont Auvergne - INRA, MetaboHUB/Plateforme d'Exploration du Métabolisme, Clermont-Ferrand, France
| | - Cécile Martin
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Michel Doreau
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Hamid Boudra
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Milka Popova
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| | - Diego P Morgavi
- Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle, France
| |
Collapse
|