The quality of early milk produced by dams is affected by various factors (i.e. breed, age, parity, environment, nutrition, management). The impact of these factors on the quality of milk then have subsequent effects on calf health and development. Producers are responsible for following guidelines in order to ensure that they feed calves optimal quality milk in order to produce a healthy animal. They can also regulate factors such as environment and nutrition of the dam in order to produce better quality early milk. However, even after maximizing these factors there is still high mortality rate among pre-weaned calves, therefore, other factors such as mode of birth and genetics need to be studied to determine impacts on early milk quality and make further improvements to calf health and decrease mortality. Two experiments were conducted in order to study the effects of maternal and genetic factors on early milk production and to determine relationships that exist with calf health. The objective of the first study was to determine the effects that the mode of delivery had on early milk composition, and on the rumen microbiome of calves. We hypothesized that mode of birth would impact early milk composition, and, in turn, influence the microbial phyla in the calf gut. The second study had three objectives: 1) establish phenotypic relationships between colostrum composition traits, milk production traits, and calf health, 2) determine impact of breed and season on colostrum production and 3) ) elucidate the genetic parameters (i.e. heritability, genotypic, and phenotypic correlations) among colostrum production and milk production We hypothesized that colostrum composition and production differ among breeds and by season and that individual components influence calf health. Additionally, we hypothesized that colostrum quality traits (i.e. Brix score and volume) are heritable. For the first study Charolaise (CHAR; n = 23) and Angus (ANG; n = 15) dams were divided into two experimental groups; dams underwent vaginal (VD; n= 25) or cesarean (CD; n= 13) deliveries. Early milk samples were collected and quantified for protein, lactose, somatic cell count, and fatty acid concentrations. After parturition calves were separated based on dams experimental group. Rumen fluid was collected from calves on d 1, 3, and 28 post-partum. Extracted DNA from fluid were used for metagenomic sequencing (ANG calves, n=11; CHAR calves, n=13). Samples were run on the HiSeq 2500 platform as paired end reads according to Ilumina's standard sequencing protocol. A regression analysis was done in SAS using PROC GLM and regressing mode of birth on milk components for d 1,3, and 28. After, milk components found to be significantly impacted by mode of birth were regressed against microbial counts. Results showed that VD dams were more likely to have increased (P  0.05) protein, solids non-fat, and lactose on d 1 and 3, but decreased (P < 0.05) urea concentrations. Similarly, short, medium, and long-chain fatty acids were increased (P  0.05) in VD d 3 milk. Changes in true protein elicited a decrease (P  0.05) in rumen fluid Actinobacteria and Proteobacteria; whereas, both solids non-fat and lactose were associated with an increased (P  0.05) response in d 1 transition milk. No significant results for d 28 of sampling were observed. Based on our results we suggest that mode of birth influences protein concentrations in early milk. However, only a slight impact on the overall dynamics of the calf rumen was observed with the microbiome remaining relatively stable on the phyla level in response to changes in protein concentration. The second study looked into relationships between colostrum composition traits, management practices, and calf health, as well as determined heritability and genetic correlations for colostrum quality traits. Values for test-day milk, protein, fat, and somatic cell count (SCS) for Holstein (HO, n= 250) and Jersey (JE, n=289) cows were obtained from the Animal Genomic and Improvement laboratory server at the USDA. Brix score, colostrum weight, dam age, parity, and 3-month season of calving were also recorded. After, colostrum samples from JE cows were sent to DHIA where compositional measurements were obtained (i.e. true protein, fat, lactose, SCS, solid non-fats). Lactoferrin concentration for JE colostrum samples was also determined via ELISA. Calf blood samples were collected within 72 h post-partum and total serum protein (TSP) quantified to determine success of passive immunity transfer. Additionally, farm staff were instructed to record colostrum source for 1st feeding (i.e. dam, mix, other), freshness for 1st feeding (frozen vs fresh), Brix score of colostrum fed, volume of colostrum fed, and birth weight. A PROC Mixed with LSMEANS was performed in SAS to determine relationships between colostrum components, test day components, and quality traits for season, breed, and the interaction between season and breed. Also, PROC Mixed with LSMEANS was used to determine relationships of calf health with environment, management, and colostrum components. Additionally, a Pearson correlation was used to determine relationships between colostrum components and quality traits. Results for Holstein and Jersey showed that both colostrum Brix and volume (P < 0.001) differed by breed. Colostrum volume (P < 0.001), lactose (P < 0.001), and lactoferrin (P = 0.002) varied significantly by season. Additionally, test day milk (P = 0.046), fat (P = 0.012), and protein (P = 0.003) varied significantly by season. Moreover, a significant season and breed interaction (P = 0.028) was observed solely for colostrum volume. Calf health models indicated that TSP, colostrum total protein and solid non-fats impacted incidence of respiratory illness, but no factor significantly impacted incidence of scours. Results for Pearson correlation indicated strong correlations between true protein and solid non-fats and Brix (r = 0.99; 0.86). Lactoferrin also had moderate negative correlations with volume and lactose (r = -0.35; -0.33). Heritability and repeatability's were calculated using BLUPF90 family of programs. A single-trait repeatability animal model was used and included a 1-vector phenotype (Brix or Colostrum weight), fixed effects (i.e. calving year, parity, 3-month season of calving, and age at calving), additive genetic variance, random permanent environment effects, and random residual effects. A series of bivariate models were used to calculate genetic correlations of Brix score and colostrum weight with test-day compositional traits. Heritability estimates results for Holstein cow Brix and colostrum weight, were 0.25 and 0.15. Jersey cow heritability estimates were 0.36 and 0.47 respectively. We also observed some significant genetic correlations with Holstein Brix score and test-day milk (-0.23), fat (0.54), and SCS (0.29) having moderate correlations. Holstein colostrum weight had a strong correlation with test-day milk (0.96). Jerseys had strong genetic correlation of Brix score with colostrum weight (-0.98). Low to moderately heritability was observed for Brix score and colostrum weight in both breeds making them receptive to genetic selection in order to improve breeding programs. In conclusion, mode of birth significantly impacted colostrum composition which had subsequent effects on abundance of rumen microbiota. Colostrum Brix and volume were impacted by breed, season, and interaction, and calf incidence of disease was impacted by colostrum composition and environment. Additionally, two factors influencing colostrum quality (Brix score and colostrum weight) were found to be low to moderately heritable and have moderate to strong genetic correlations to compositional traits. Strong significant relationships were also found between colostrum compositional traits and colostrum quality traits. Therefore, incorporating quality traits into breeding programs has the potential to influence compositional traits which, in turn, can impact calf health and development by the interactions that exist between composition and microbial abundance in the rumen. / Master of Science in Life Sciences / Factors like breed, age, parity, nutrition, environment, and management can affect the quality of early milk produced. Many of these factors have been studied and guidelines developed in order to ensure producers feed the best quality milk to their calves which will allow for calves to develop properly. However, there is still a high mortality rate in pre-weaned calves and factors like mode of birth and genetics have not been readily studied. The purpose of our studies were to determine mode of birth impacts on composition of early milk and establish relationships between composition and rumen microbial phyla abundance. Additionally, establish relationships between colostrum composition traits, management practices, and calf health, and determine heritability and genetic correlations of colostrum quality traits to test-day composition traits. Our hypothesis was that colostrum quality traits such as Brix score and colostrum weight are heritable. We also hypothesized that mode of birth influences early milk composition and changes to composition has secondary effects to calf rumen microbial abundance. Charolaise (CHAR; n = 23) and Angus (ANG; n = 15) dams were divided into two experimental groups; dams underwent vaginal (VD; n= 25) or cesarean (CD; n= 13) delivery. Early milk samples were collected and sent to DHIA to quantify components. After parturition calves were separated based on dam's experimental group. Rumen fluid was collected from calves on d 1, 3, 28 post-partum and DNA extracted from fluid (ANG calves, n=11; CHAR calves, n=13). Results showed that VD significant differences in composition of VD and CD cows. Dams in VD group were more likely to have increased (P  0.05) protein, solids non-fat, and lactose but decreased (P < 0.05) urea concentrations. Similarly, short, medium, and long-chain fatty acids were increased (P  0.05) in VD. Changes in true protein elicited a decrease (P  0.05) in rumen fluid Actinobacteria and Proteobacteria. Results suggest that mode of birth influences protein concentrations in early milk and induces a slight impact on the overall dynamics of the calf rumen microbiome. A second study was conducted to establish relationships between colostrum components, management and calf health as well as determine genetic parameters of colostrum quality traits. Holstein (HO, n= 250) and Jersey (JE, n=289) cow test-day data was obtained from the Animal Genomic and Improvement laboratory server at the USDA. Brix score, colostrum weight, dam age, parity, and 3-month season of calving were also recorded. Colostrum samples from JE cows were sent to DHIA where compositional measurements were obtained (i.e. true protein, fat, lactose, SCS, solid non-fats). Lactoferrin concentration for JE cow colostrum samples was also determined via ELISA. Calf blood samples were collected within 72 h post-partum and TSP quantified. Farm staff recorded colostrum source for 1st feeding and colostrum freshness for 1st and feeding. A PROC Mixed was performed to determine impact of test-day milk composition traits on colostrum quality traits by breed, PROC Mixed with LSMEANS was used to determine relationships of environment, colostrum management, and colostrum components with incidence of scours and respiratory disease in calves. A Pearson correlation was used to determine relationships between colostrum components and quality traits Heritability and repeatability's were calculated using BLUPF90 family of programs. A series of bivariate models were used to calculate genetic correlations of Brix score and colostrum weight with test-day compositional traits. Results indicated that colostrum Brix and volume were impacted by season, breed, and the interaction of breed and season. Calf incidence of disease was impacted by colostrum components and total serum protein levels. Results for Pearson correlation indicated strong correlations between true protein and solid non-fats and Brix (r = 0.99; 0.86). Lactoferrin also had moderate negative correlations with volume and lactose (r = -0.35; -0.33). Heritability estimates results for Holstein Brix and colostrum weight were 0.25 and 0.15. Jersey cow heritability estimates were 0.36 and 0.47, respectively. We also observed some significant genetic correlations with Holstein Brix score and test-day milk (-0.23), fat (0.54), and SCS (0.29) having moderate correlations. Holstein colostrum weight had a strong correlation with test-day milk (0.96). Jerseys had strong genetic correlation of Brix score with colostrum weight (-0.98). Results indicated a low to moderately heritability for Brix score and colostrum weight in both breeds making them receptive to genetic selection in order to improve breeding programs. Strong significant relationships were also found between colostrum compositional traits and colostrum quality traits.

No description available.

The variability in calf management can change the physiological state of the calf as they are weaned or attain puberty. It is up to the producer to ensure that the calves develop properly to meet their expected needs on the farm. While there are guidelines from the NRC in place, there is a substantial range in the amount of protein and fat that a calf can be fed. This physiological state can be reflected in the proteins produced in tissues, the expression of gene regulatory pathways, or even the microbes present in the gut. The purpose of this study was to examine how an increase in dietary energy in milk replacer of pre-weaned Holstein heifers impacts the microbial profile of the rumen as well as the transcriptome in tissues related to growth and metabolism. Our hypothesis was that pre-weaned Holstein heifers on milk replacer diets with lower dietary energy will have a different rumen microbiome composition and a different transcriptome in growth related tissues. Holstein heifer calves (n = 36) were assigned randomly to 1 of 2 milk replacer diets: restricted (R; 20.9% CP, 19.8% Fat; n = 18) or enhanced (E; 28.9% CP, 26.2% Fat; n = 18). Calves were euthanized and rumen fluid was collected at pre-weaning (8 wks; n = 6) or post-weaning (10 wks; n = 6). Liver (L), adipose (A), and longissimus dorsi (LD) tissues were collected at pre-weaning (8 wks; n = 12). Average daily gain (ADG) and gain-to-feed ratio (G:F) were calculated for each calf. Analysis of ADG and G:F was performed using a PROC GLM in SAS with diet as the main effect; E calves had increased ADG and G:F compared to R calves. For rumen samples, libraries were constructed from extracted DNA and DNASeq was conducted using a paired-end analysis at 100 bp using Illumina HiSeq 2500. Operational taxonomic unit (OTU) clustering analysis was conducted using the 16s rRNA Greengenes reference. A PERMANOVA analysis was conducted in R to determine OTU populations for age and treatment. There was no difference in microbiome composition between pre-weaning and post-weaning calves (P = 0.761). Microbiome composition differed between E and R calves (P < 0.001). Bacteroidetes and Firmicutes represented the most abundant phyla for both E and R calves. Enhanced calves had 49.4% (5141 reads) Bacteriodetes and 36.4% (3789 reads) Firmicutes; whereas, R calves had 31.6% (2491 reads) Bacteriodetes and 41.1% (3236 reads) Firmicutes. For L, A, and LD samples, libraries were constructed from extracted RNA for RNA-Seq analyses. RNA-Seq analysis was performed using CLC Genomics Workbench and the Robinson and Smith Exact Test was used to identify differentially expressed genes between diets. There were 238 differentially expressed genes in A, 227 in LD, and 40 in L. Of the differentially expressed genes, 10 appeared in at least 2 tissues. PANTHER was used to identify functional categories of differentially expressed genes. The majority of genes were associated with metabolic processes (A = 112, 26.7%; L = 16, 32.0%; LD = 81, 34.0%) or cellular processes (A = 93, 22.1%; L = 13, 26.0%; LD = 73, 30.7%). In E calves, upregulated genes included those regulating NADH dehydrogenation (LD = 17, A = 5; i.e. ND1, ND4), gluconeogenesis (LD = 2, A = 6; i.e. ALDOB, PCK2), and cell proliferation (LD = 2, A = 3; i.e. GADD45A, CDKN1A). There was a difference in both the transcriptome and rumen microbiome of calves fed differing levels of dietary energy. The calves on the R diet had a rumen microbial composition more similar to a younger calf, while the composition of E calves was more similar to a mature calf. The change in regulation of genes involved in the cell cycle and ATP synthesis in response to dietary energy could explain the change in ADG between diets. Because the R calves appeared to have stunted development of their microbiomes and an expression profile similar to oxidative stress, it is possible that the R diet did not meet the nutritional requirements of that calves. / Master of Science

Ruminant livestock maintain an important role in meeting the nutrient requirements of the global population through their unique ability to convert plant fiber into human-edible meat and milk products. Volatile fatty acids (VFA) produced by rumen microbial fermentation of feed substrates represent around 70% of the ruminant animal's metabolic energy supply. Rumen fermentation profiles may directly impact productivity because the types of VFA produced are utilized at differing efficiencies by the animal. Improving our understanding of factors that control these fermentative outcomes would therefore aid in optimizing the productive efficiency of ruminant livestock. Improvements in animal efficiency are now more important than ever as the livestock industry must adapt to continue meeting the nutritional needs of a growing global population in the context of increased resource restrictions and requirements to lower the environmental impact of production. The relationship between diet and VFA ultimately supplied to the animal is complex and poorly understood due to the influence of numerous nutritional, biochemical, and microbial variables. The central aim of this body of work was therefore to explore and characterize how fermentation dynamics, rumen environmental characteristics, and the rumen microbiome behave in response to variations in the supply of fermentative substrate. The objective of our first experiment was to describe a novel in vitro laboratory technique to rank livestock feeds based on their starch degradability. This experiment also compared the starch degradation rates estimated by the in vitro method to the rates estimated by a traditional in situ method using sheep. A relationship between the degradation rates determined by these two procedures was observed, but only when feed nutrient content was accounted for. While this in vitro approach may not be able to reflect actual ruminal starch degradation rates, it holds potential as a useful laboratory technique for assessing relative differences in starch degradability between various feeds. Our second experiment aimed to measure changes in VFA dynamics, rumen environmental characteristics, and rumen epithelial gene expression levels in response to dietary sources of fiber and protein designed to differ in their rumen availabilities. Conducted in sheep, this study utilized beet pulp and timothy hay as the more and less available fiber source treatments, respectively, and soybean meal and heat-treated soybean meal as the more and less available protein source treatments, respectively. Results indicated that rumen environmental parameters and epithelial gene expression levels were not significantly altered by treatment. However, numerous shifts in response to both protein and fiber treatments were observed in fermentation dynamics, especially in interconversions of VFA. The objective of the third investigation was to assess whether the rumen microbiome can serve as an accurate predictor of beef and dairy cattle performance measurements and compare its predictive ability to that of diet explanatory variables. The available literature was assembled into a meta-analysis and models predicting dry matter intake, feed efficiency, average daily gain, and milk yield were derived using microbial and diet explanatory variables. Comparison of model quality revealed that the microbiome-based predictions may have comparable accuracy to diet-based predictions and that microbial variables may be used in combination with diet to improve predictions. In our fourth experiment, the objective was to investigate rumen microbial responses to the fiber and protein diet treatments detailed in Experiment 2. Responses of interest included relative abundances of bacterial populations at three taxonomic levels (phylum, family, and genus) in addition to estimations of community richness and diversity. Numerous population shifts were observed in response to fiber treatment. Prominent fibrolytic population abundances as well as richness and diversity estimations were found to be greater with timothy hay treatment and lower with beet pulp whereas pectin degraders increased in abundance on beet pulp. Microbial responses associated with protein treatment were not as numerous but appeared to reflect taxa with roles in protein metabolism. These four investigations revealed that significant changes can occur in VFA fermentation and rumen microbial populations when sources of nutrient substrates provided in a ruminant animal's diet are altered and that a new approach may be useful in investigating degradation of another important substrate for fermentation (starch) in a laboratory setting. Our findings also determined that animal performance can be predicted to a certain extent by rumen microbial characteristics. Collectively, these investigations offer an improved understanding of factors that influence the process of converting feed to energy sources in the ruminant animal. / Doctor of Philosophy / Ruminant animals, such as beef cattle, dairy cattle, and sheep, play a major role in delivering essential nutrients to the human population through their provision of meat and dairy products. The current growth projections of the global population, in addition to increased concerns surrounding greenhouse gas emissions and restrictions on resources such as land and water make it important for us to consider ways of optimizing the productivity of these animals. A unique feature of ruminants is their ability to conduct microbial fermentation of large amounts of plant matter in their rumens to produce energetically valuable compounds called volatile fatty acids (VFA), which are the primary source of energy that the animals use for growth, reproduction, and milk production. One promising way of improving animal productivity is to increase the amount of energy from the diet that becomes available to fuel the animal's body processes; however, the process of converting feed to VFA is complicated and currently not well understood. The overall aim of this body of work was therefore to explore various nutritional, ruminal, and microbial factors that are known to impact fermentation in order to 1) increase our understanding of how these factors interconnect and 2) put us in a better position to manipulate these factors for optimal animal performance. The goal of our first experiment was to devise and use a novel laboratory technique to rank livestock feeds based on the degradability of their starch content, which is an important substrate for VFA fermentation. Our observations indicate that this technique may be a useful tool to help us determine relative differences between feeds based on their starch degradabilities in a laboratory setting. Our second experiment investigated the effects of feeding varying sources of fiber (beet pulp and timothy hay) and protein (heat-treated and untreated soybean meals) to sheep in terms of their VFA fermentation, rumen conditions, and the expression of certain key genes in the epithelial tissue of the rumen wall. While rumen environmental characteristics and epithelial gene expression remained largely unchanged, numerous key aspects of VFA fermentation, predominantly carbon exchanges between different VFA, were altered in response to nutrient source. The third investigation described in this work examined the ability of the microbial populations responsible for rumen fermentation to explain variation in beef and dairy cow productivity compared with the ability of diet characteristics to explain this variation. Using statistical methods to analyze the reports currently available in scientific literature, our findings indicate that the rumen microbiome and diet may exert independent effects on productivity levels and that the microbiome may be used to enhance diet-based predictions of animal performance. Finally, we explored variations in the sheep rumen microbiome in response to the diet treatments utilized in Experiment 2. We observed minimal impact of protein source on the microbiome, but numerous microbial responses were evident when fiber source was varied. These responses included decreases of fiber-degrading bacterial populations and increases in pectin-degrading populations when beet pulp was fed compared to timothy hay. Taken together, these experiments help to provide us with a more comprehensive picture of the numerous factors involved in the process of converting feed to a usable form of energy for ruminant livestock.

Effects of a short 40-d dry period with only a close-up diet (SHORT) and a conventional 60-d dry period with a 39-d far-off and a 21-d close-up diet (CONV) on milk production, feed intake, blood and rumen parameters, liver gene expression and rumen microbiota profile were compared in 11 second-parity and 15 third and later parity cows. Milk production was recorded daily during the first 16 wks of lactation. Differential liver gene expression was assessed by affymetrix microarray analysis and DNA extracted from rumen samples was subjected to Illumina sequencing for exploring the microbiome profile. The SHORT treatment reduced milk yield and DMI after calving in third and later parity cows, but not in second-parity cows when compared to the CONV treatment. Cows on the SHORT treatment had higher concentrations of NEFA in blood plasma and tended to have higher liver TAG immediately after calving. These effects tended to be greater in third- and later parity cows compared to second-parity cows. Expression patterns of genes involved in β-oxidation at the first week of lactation compared to those at three weeks before calving showed lower hepatic β-oxidation capacity in cows on the SHORT treatment compared to those on the CONV treatment. During this period, the expression of DGAT, a key gene in the triglyceride synthesis, increased in SHORT-treatment cows while it remained unchanged in CONV-treatment cows. The expression patterns of genes involved in gluconeogenesis showed a higher capacity at first week after calving in cows on the SHORT compared to those on the CONV treatment. Our study also showed that the SHORT treatment increased the relative abundance of Firmicutes and reduced the relative abundance of Bacteroidetes compared to the CONV treatment and reduced the shifting of rumen microbiota from before to after calving. Results also demonstrated that the rumen microbiota was more stable in the SHORT treatment during the transition period. Based on these results, a 40-d dry period management with only a close-up diet might be beneficial for second parity cows. However, this treatment may be detrimental for older cows as excessive energy intake and fat deposition during the dry period in these animals result in lower milk production and higher mobilization of NEFA and accumulation of fat in the liver. / February 2016

No description available.

Os micro-organismos que habitam o trato digestivo dos ruminantes têm uma profunda influência no desenvolvimento e funcionamento do animal hospedeiro. O rúmen abriga comunidades microbianas complexas dominadas por bactérias que participam de um processo eficiente de degradação dos materiais que compõem a parede celular vegetal. Por esta razão, o microbioma do rúmen representa uma fonte inexplorada de enzimas hidrolíticas com potencial aplicação na produção de combustíveis a partir da biomassa lignocelulósica. Nós usamos a plataforma Ion Torrent (PGM) para acessar o microbioma do rúmen de quatro animais da raça Santa Inês submetidos a uma dieta base. A fim de descrever a estrutura da comunidade microbiana no rúmen de ovinos e explorar o seu potencial como uma fonte de genes de degradação da biomassa, usamos a abordagem de sequenciamento do gene RNA ribossomal 16S (rRNA), utilizando Ion Tags, e a abordagem de sequenciamento metagenômico shotgun (DNA total), respectivamente. Além disso, medimos parâmetros químicos do ambiente do rúmen, relacionados a cada animal, incluindo pH, Degradabilidade da Matéria Orgânica (OMD), Produção total de Gás (GP) e Emissões de Metano (CH4), a fim de buscar correlações entre estas variáveis químicas e os grupos bacterianos. Em termos de estrutura da comunidade microbiana (bacteriana), encontramos Bacteroidetes como o filo dominante, seguido por Firmicutes, Proteobacteria e Actinobacteria. Alguns táxons foram correlacionados com os parâmetros químicos, como as famílias Corynebacteriaceae e Streptococcaceae, que foram positivamente correlacionadas com OMD; e a família Streptomycetaceae, negativamente correlacionada com GP e CH4. Algumas glicosil hidrolases conhecidas foram identificadas, como Endo-1,4-beta-glucanases, Beta-D-glicosídioglicohidrolases e outras foram designadas como putativas. Estas descobertas mostram interações ecológicas entre os grupos microbianos e funções importantes do rúmen, assim como o potencial do rúmen de ovinos para a descoberta de novas enzimas celulolíticas. / The microorganisms inhabiting the digestive tracts of ruminants have a profound influence on the host animal development and functioning. The rumen harbors complex microbial communities dominated by bacteria, which participate in an efficient process to digest plant cell wall materials. For this reason, the rumen microbiome represents an untapped source of hydrolytic enzymes with potential application for fuel production from lignocellulosic biomass. We used the Ion Torrent (PGM) platform to access the rumen microbiome of four animals of Santa Inês breed under a base diet. In order to describe the structure of the microbial community in the sheep rumen and explore its potential as a source of biomass-degrading genes, we used 16S ribosomal RNA (rRNA) Ion Tags sequencing approach and shotgun metagenomic sequencing (total DNA) approach, respectively. Furthermore, we measured rumen chemical environmental parameters related to each animal, including pH, Organic Matter Degradability (OMD), Total Gas Production (GP) and Methane emissions (CH4) in order to search for correlations between these chemical variables and bacterial groups. In terms of microbial (bacterial) community structure, we found Bacteroidetes as the dominant phylum in sheep rumen microbiome, followed by Proteobacteria, Firmicutes and Actinobacteria. Some taxa were correlated with the environmental parameters, like the Corynebacteriaceae and Streptococcaceae families, which was positively correlated with OMD, and the Streptomycetaceae family, negatively correlated with GP and CH4. Some known glycoside hydrolases were identified, such as Endo-1,4-betaglucanases, Beta-D-glucoside glucohydrolases and others were designated as putative ones. These findings show ecological interactions among microbial groups and important rumen functions, as well as the potential of the sheep rumen for the discovery of new cellulolytic enzymes.

Os micro-organismos que habitam o trato digestivo dos ruminantes têm uma profunda influência no desenvolvimento e funcionamento do animal hospedeiro. O rúmen abriga comunidades microbianas complexas dominadas por bactérias que participam de um processo eficiente de degradação dos materiais que compõem a parede celular vegetal. Por esta razão, o microbioma do rúmen representa uma fonte inexplorada de enzimas hidrolíticas com potencial aplicação na produção de combustíveis a partir da biomassa lignocelulósica. Nós usamos a plataforma Ion Torrent (PGM) para acessar o microbioma do rúmen de quatro animais da raça Santa Inês submetidos a uma dieta base. A fim de descrever a estrutura da comunidade microbiana no rúmen de ovinos e explorar o seu potencial como uma fonte de genes de degradação da biomassa, usamos a abordagem de sequenciamento do gene RNA ribossomal 16S (rRNA), utilizando Ion Tags, e a abordagem de sequenciamento metagenômico shotgun (DNA total), respectivamente. Além disso, medimos parâmetros químicos do ambiente do rúmen, relacionados a cada animal, incluindo pH, Degradabilidade da Matéria Orgânica (OMD), Produção total de Gás (GP) e Emissões de Metano (CH4), a fim de buscar correlações entre estas variáveis químicas e os grupos bacterianos. Em termos de estrutura da comunidade microbiana (bacteriana), encontramos Bacteroidetes como o filo dominante, seguido por Firmicutes, Proteobacteria e Actinobacteria. Alguns táxons foram correlacionados com os parâmetros químicos, como as famílias Corynebacteriaceae e Streptococcaceae, que foram positivamente correlacionadas com OMD; e a família Streptomycetaceae, negativamente correlacionada com GP e CH4. Algumas glicosil hidrolases conhecidas foram identificadas, como Endo-1,4-beta-glucanases, Beta-D-glicosídioglicohidrolases e outras foram designadas como putativas. Estas descobertas mostram interações ecológicas entre os grupos microbianos e funções importantes do rúmen, assim como o potencial do rúmen de ovinos para a descoberta de novas enzimas celulolíticas. / The microorganisms inhabiting the digestive tracts of ruminants have a profound influence on the host animal development and functioning. The rumen harbors complex microbial communities dominated by bacteria, which participate in an efficient process to digest plant cell wall materials. For this reason, the rumen microbiome represents an untapped source of hydrolytic enzymes with potential application for fuel production from lignocellulosic biomass. We used the Ion Torrent (PGM) platform to access the rumen microbiome of four animals of Santa Inês breed under a base diet. In order to describe the structure of the microbial community in the sheep rumen and explore its potential as a source of biomass-degrading genes, we used 16S ribosomal RNA (rRNA) Ion Tags sequencing approach and shotgun metagenomic sequencing (total DNA) approach, respectively. Furthermore, we measured rumen chemical environmental parameters related to each animal, including pH, Organic Matter Degradability (OMD), Total Gas Production (GP) and Methane emissions (CH4) in order to search for correlations between these chemical variables and bacterial groups. In terms of microbial (bacterial) community structure, we found Bacteroidetes as the dominant phylum in sheep rumen microbiome, followed by Proteobacteria, Firmicutes and Actinobacteria. Some taxa were correlated with the environmental parameters, like the Corynebacteriaceae and Streptococcaceae families, which was positively correlated with OMD, and the Streptomycetaceae family, negatively correlated with GP and CH4. Some known glycoside hydrolases were identified, such as Endo-1,4-betaglucanases, Beta-D-glucoside glucohydrolases and others were designated as putative ones. These findings show ecological interactions among microbial groups and important rumen functions, as well as the potential of the sheep rumen for the discovery of new cellulolytic enzymes.

Die Methan (CH4) Produktion der Milchkühe wird durch eine Vielzahl von umwelt- und wirtsspezifischen Faktoren beeinflusst, wobei Trockensubstanzaufnahme und Rationszusammensetzung die größte Auswirkung haben. Der größte Teil des CH4 wird von Archaeen im Pansen produziert. Auch die kurzkettige Fettsäure (SCFA) Acetat wird im Pansen durch mikrobielle Fermentation gebildet und kann vom Wirtstier zur Milchfettsynthese im Euter verwendet werden. Die Acetatbildung im Pansen korreliert mit der CH4 Produktion. Allerdings kann Milchfett auch aus nicht veresterten Fettsäuren (NEFA) und Triacylgylcerolen endogenen Ursprungs synthetisiert werden, insbesondere aus mobilisiertem Körperfett. In dieser Studie wurde die Hypothese überprüft, dass eine Verdrängung des zur Milchfettbildung genutzten Acetats durch eine höhere Körperfettmobilisation in der Frühlaktation die ruminale Acetatproduktion senkt und damit die Bildung von CH4 verringert. Ein weiteres Ziel war zu untersuchen, ob der Anstieg der CH4 Produktion im Laktationsverlauf mit einer Veränderung des Mikrobioms assoziiert ist, und ob sich Kühe mit hoher oder niedriger CH4 Emission in ihrer Bakterien- und Archaeen-Zusammensetzung unterscheiden. 20 Holstein Kühe wurden in ihrer ersten Laktation untersucht; ihre Futteraufnahme und Rationszusammensetzung wurde analysiert. Im Verlauf des Versuchs wurden mehrfach Blut- und Pansensaftproben gewonnen. Die Plasma-NEFA-Konzentrationen wurden photometrisch, die Pansen-SCFA-Konzentrationen mittels Gaschromatographie analysiert. Während des Beobachtungszeitraums wurde an 4 Zeitpunkten die individuelle CH4 Produktion in Respirationskammern erfasst. In einer Untergruppe von 9 Kühen wurden Pansensaftproben von 3 Zeitpunkten während der Laktation einer DNA-Extraktion unterzogen und bakterielle und archaeale 16S rRNA Amplicons wurden sequenziert. Die Bakterien- und Archaeenpopulation im Pansensaft wurden beschrieben und Pansenmikrobiom der CH4 Ausbeute gegenübergestellt. Statistische Auswertungen wurden mit repeated measurements ANOVA und Tukey Tests, sowie mit der Pearsons‘ Korrelation für ausgewählte Parameter durchgeführt. Mikrobielle Daten wurden mit multivariaten Analysen (PERMANOVA) weiterverarbeitet und Bray-Curtis-Unähnlichkeiten ermittelt. Die gesamte CH4 Produktion stieg signifikant von durchschnittlich 208 l/Tag in der Trockenperiode auf 516 l/Tag in der Spätlaktation an. Der Grad der Körperfettmobilisation, ausgedrückt als Plasma NEFA Konzentration, und die CH4 Ausbeute waren in der Frühlaktation negativ korreliert (p = 0,002). Kühe mit hoher Fettmobilisation (NEFA > 580 μmol/l) neigten nur vor der Geburt, aber nicht während der Laktation zu höheren Pansenacetat Konzentrationen als Tiere mit niedriger Mobilisation (NEFA < 580 μmol/l). Trotz einer möglichst gleichbleibenden Rationszusammensetzung während der Laktation änderte sich das Mikrobiom mit der Zeit signifikant, was sich in einer Abnahme des Artenreichtums und der Biodiversität zeigte. In der Spätlaktation, als die CH4 Ausbeute am höchsten war, gab es keinen Unterschied in der bakteriellen oder archealen Populationsstruktur zwischen den drei Kühen mit der schwächsten und den dreien mit der stärksten CH4 Ausbeute. Parallel zum Anstieg der CH4 Produktion von 434,3 l/Tag auf 540,5 l/Tag veränderte sich das Verhältnis von (Acetat + Butyrat) / Propionat im Pansensaft mit dem Fortschreiten der Laktation von 3,5 auf 4,4. Dennoch war kein Zusammenhang zwischen der Konzentration der ruminalen SCFA und der CH4 Ausbeute festzustellen. Der Stoffwechselzustand des Tieres, insbesondere der Grad der Körperfettmobilisierung bei negativer Energiebilanz, nahm Einfluss auf die CH4-Ausbeute. Die Zusammensetzung des Mikrobioms im Pansen und dessen Stoffwechselnetzwerk veränderte sich mit der Zeit. Es war jedoch in dieser Studie nicht möglich, einzelne Mikroorganismen als Prädiktor für die CH4-Emission von Milchkühen zu identifizieren. Vielmehr scheinen Verschiebungen der mikrobiellen Gemeinschaften insgesamt für die Veränderung der CH4 Ausbeute verantwortlich zu sein.:1 Introduction 1 2 Background 2 2.1 Greenhouse Gases 2 2.2 Dairy cows and their importance to food production 3 2.3 Rumen functions 5 2.3.1 Anatomy and Physiology 5 2.3.2 Rumen microbes 7 2.3.2.1 Bacteria 8 2.3.2.2 Archaea 11 2.3.3 Short-chain fatty acids 12 2.3.4 Methane formation 15 2.4 Interrelationship between methane and host animal physiology 15 2.4.1 Physiologic aspects affecting methane formation 15 2.5 Effects of feed composition and feed contents on methane production 16 2.5.1 Relationship of ruminal short-chain fatty acids and methane production 17 2.5.2 Milk fatty acids to estimate methane emission 19 2.6 Description of methods 20 2.6.1 Methane Measurement 20 2.6.2 Sampling of rumen contents 21 2.6.3 Methods to identify microbes 22 2.7 Objective and realization of the studies 23 3 Publications 26 3.1 First Publication 26 3.1.1 Supplement first Publication 40 3.2 Second Publication 42 3.2.1 Supplement second Publication 56 4 Discussion 60 4.1 Assessment of experimental design 60 4.1.1 Animals 60 4.1.2 Feed 61 4.1.3 Rumen fluid 61 4.1.4 Blood and milk metabolites 62 4.2 Assessment of results 62 4.2.1 Variance of methane emissions 62 4.2.2 Rumen short-chain fatty acids and methane 65 4.2.3 Acetate in the cows’ metabolism and methane production 66 4.2.4 Fat mobilization in early lactation 67 4.2.5 NEFA in the context of metabolism 68 4.2.6 Rumen microbes 69 4.2.6.1 Microbial community change over time 70 4.2.6.2 Community differences between individuals 71 4.2.6.3 Relationship between microbes and methane production levels 72 4.2.7 Further considerations 74 5 Conclusions 75 6 Summary 77 7 Zusammenfassung 79 8 References 81 / Methane (CH4) production in dairy cows is influenced by a variety of environmental and host-specific factors, among which dry matter intake and ration composition have the greatest impact. The major part of CH4 is produced in the rumen by Archaea. The short-chain fatty acid (SCFA) acetate is also produced in the rumen by microbial fermentation and can be used by the host to synthesize milk fat in the mammary gland. The production of acetate is correlated with ruminal CH4 production. Milk fat can also be synthesized from non-esterified fatty acids (NEFA) and triacylglycerol that originate from endogenous fat stores of dairy cows, especially during times of fat mobilization. This study checked the hypothesis that a higher fat mobilization during early lactation decreases ruminal acetate production by replacing acetate for milk fat synthesis and, thus, decreases synthesis of CH4. Another aim of this study was to test the hypothesis that increases in CH4 yield over the course of lactation are associated with changes in rumen microbial community profile, and that high and low CH4 emitting cows differ in their bacterial and archaeal community structure. A herd of 20 Holstein cows was studied during the course of their first lactation; feed intake and diet composition was monitored. Blood and rumen fluid were repeatedly sampled throughout the trial. Plasma NEFA concentrations were analyzed by photometrical analysis, and rumen SCFA concentrations by gas chromatography. Individual CH4 production was measured in respiration chambers at four times during the observation period. In a subgroup of 9 cows, rumen fluid samples from 3 timepoints during lactation were subjected to DNA extraction and bacterial and archaeal 16S rRNA amplicons were sequenced. The bacterial and archaeal community structures in the rumen fluid were described, and the rumen microbiome composition linked to CH4 yield. Statistical analysis was conducted using repeated measurement ANOVA and Tukey tests, as well as Pearsons’ correlation for selected parameters. Microbial data was further treated with multivariate analyses (PERMANOVA) and Bray-Curtis dissimilarities were determined. Total CH4 production increased significantly over time from an average 208 L/day during the dry period to 516 L/day in late lactation. The level of fat mobilization, expressed as blood plasma NEFA concentrations, and CH4 yield showed an inverse relationship in early lactation (p = 0.002). High mobilizing cows (NEFA > 580 μmol/L) tended to show higher ruminal acetate concentrations than low mobilizing cows (NEFA < 580 μmol/L) only before parturition and not during lactation. Despite a diet composition that was kept as constant as possible throughout the lactation, the microbial community changed significantly over time as indicated by a decrease in species richness and species evenness. However, in late lactation when CH4 yield was highest, no difference in bacterial or archaeal community structure could be detected between the three highest CH4 yielding cows and the three lowest CH4 yielding cows. The ratio of (acetate + butyrate) / propionate in rumen fluid changed significantly with progressing lactation from 3.5 to 4.4, accompanied by an increase in CH4 production from 434.3 L/d to 540.5 L/d. However, no correlation between the concentration of ruminal SCFA and CH4 yield was found. The metabolic state of the animal, especially the degree of fat mobilization during times of negative energy balance, had an impact on CH4 yield. Also, the microbial community composition in the rumen and its metabolic network is adaptable and changes over time. However, in this study individual microorganisms could not be identified to serve as predictor for CH4 emission from dairy cows at the moment. Rather, shifts in the microbial communities as a whole appear to be responsible for the changes in CH4 yield.:1 Introduction 1 2 Background 2 2.1 Greenhouse Gases 2 2.2 Dairy cows and their importance to food production 3 2.3 Rumen functions 5 2.3.1 Anatomy and Physiology 5 2.3.2 Rumen microbes 7 2.3.2.1 Bacteria 8 2.3.2.2 Archaea 11 2.3.3 Short-chain fatty acids 12 2.3.4 Methane formation 15 2.4 Interrelationship between methane and host animal physiology 15 2.4.1 Physiologic aspects affecting methane formation 15 2.5 Effects of feed composition and feed contents on methane production 16 2.5.1 Relationship of ruminal short-chain fatty acids and methane production 17 2.5.2 Milk fatty acids to estimate methane emission 19 2.6 Description of methods 20 2.6.1 Methane Measurement 20 2.6.2 Sampling of rumen contents 21 2.6.3 Methods to identify microbes 22 2.7 Objective and realization of the studies 23 3 Publications 26 3.1 First Publication 26 3.1.1 Supplement first Publication 40 3.2 Second Publication 42 3.2.1 Supplement second Publication 56 4 Discussion 60 4.1 Assessment of experimental design 60 4.1.1 Animals 60 4.1.2 Feed 61 4.1.3 Rumen fluid 61 4.1.4 Blood and milk metabolites 62 4.2 Assessment of results 62 4.2.1 Variance of methane emissions 62 4.2.2 Rumen short-chain fatty acids and methane 65 4.2.3 Acetate in the cows’ metabolism and methane production 66 4.2.4 Fat mobilization in early lactation 67 4.2.5 NEFA in the context of metabolism 68 4.2.6 Rumen microbes 69 4.2.6.1 Microbial community change over time 70 4.2.6.2 Community differences between individuals 71 4.2.6.3 Relationship between microbes and methane production levels 72 4.2.7 Further considerations 74 5 Conclusions 75 6 Summary 77 7 Zusammenfassung 79 8 References 81

京都大学 / 新制・課程博士 / 博士(農学) / 甲第23934号 / 農博第2483号 / 新制||農||1089(附属図書館) / 学位論文||R4||N5369(農学部図書室) / 京都大学大学院農学研究科応用生物科学専攻 / (主査)教授 廣岡 博之, 教授 松井 徹, 教授 吉田 天士 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM