Serum Biochemical Parameters, Rumen Fermentation, and Rumen Bacterial Communities Are Partly Driven by the Breed and Sex of Cattle When Fed High-Grain Diet

Hybridization in bovines is practiced with the main aim of improving production performance, which may imply the microbial variations in the rumen from the parental breed cross to their progeny. Besides, the interactions of offspring breed with sex in terms of rumen bacteria are not clear. This study aims to evaluate the variations in rumen bacterial communities in different breeds and sexes, and the correlations among fattening performance, serum biochemical parameters, and rumen fermentation. Forty-two 19.2 ± 0.67-month-old beef cattle (390 ± 95 kg of initial body weight) comprising two genetic lines (Yiling and Angus × Yiling) and two sexes (heifers and steers) were raised under the same high-grain diet for 120 d. On the last two days, blood samples were collected from each animal via the jugular vein before morning feeding for analyzing serum biochemical parameters; rumen fluid samples were obtained via esophageal intubation 2 h after morning feeding for analyzing rumen fermentation parameters and bacterial communities. The results show that both breed and sex had a certain impact on fattening performance, serum biochemical parameters, and rumen fermentation. No differences in the diversity and structure of rumen bacterial communities were observed. Significant interactions (p < 0.05) of breed and sex were observed for Succinivibrionaceae UCG-002 and Prevotellaceae UCG-001. The relative abundances of the Rikenellaceae RC9 gut group, Prevotellaceae UCG-003, and Succinivibrio were different (p < 0.05) between breeds. Heifers had a higher (p = 0.008) relative abundance of the Rikenellaceae RC9 gut group than steers. Correlation analysis showed a significant relationship (p < 0.05) of rumen bacteria with serum biochemical parameters, rumen pH, and rumen fermentation patterns. Additionally, only two genera, Prevotellaceae UCG-003 and Prevotellaceae UCG-001, had positive correlations with feed efficiency. In conclusion, serum biochemical parameters, rumen fermentation, and rumen bacterial communities are partly driven by the breed and sex of cattle fed a high-grain diet.

[1]  P. Bao,et al.  Microbiome and Metabolomics Reveal the Effects of Different Feeding Systems on the Growth and Ruminal Development of Yaks , 2021, Frontiers in Microbiology.

[2]  Liming Chen,et al.  Effects of Age and Rice Straw Inclusion Levels in the Diet of Yiling Cull Cows on Growth Performance, Meat Quality, and Antioxidant Status of Tissues , 2021, Animals : an open access journal from MDPI.

[3]  X. Li,et al.  Characterization of the rumen microbiota and its relationship with residual feed intake in sheep. , 2021, Animal : an international journal of animal bioscience.

[4]  Shengguo Zhao,et al.  Ruminal microbiota–host interaction and its effect on nutrient metabolism , 2020, Animal nutrition.

[5]  Zhisheng Wang,et al.  Comparison of carcass characteristics and meat quality between Simmental crossbred cattle, Cattle-yaks, and Xuanhan yellow cattle. , 2020, Journal of the science of food and agriculture.

[6]  Yixiao Zhu,et al.  Comparative study of the bacterial communities throughout the gastrointestinal tract in two beef cattle breeds , 2020, Applied Microbiology and Biotechnology.

[7]  G. Erickson,et al.  Influence of host genetics in shaping the rumen bacterial community in beef cattle , 2020, Scientific Reports.

[8]  Meng Li,et al.  Recent advances in fluorescence imaging of alkaline phosphatase , 2020 .

[9]  R. Dewhurst,et al.  Identification of Microbial Genetic Capacities and Potential Mechanisms Within the Rumen Microbiome Explaining Differences in Beef Cattle Feed Efficiency , 2020, Frontiers in Microbiology.

[10]  L. Guan,et al.  Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance , 2020, Microbiome.

[11]  C. Newbold,et al.  Review: Ruminal microbiome and microbial metabolome: effects of diet and ruminant host. , 2020, Animal : an international journal of animal bioscience.

[12]  H. Su,et al.  Digestive Ability, Physiological Characteristics, and Rumen Bacterial Community of Holstein Finishing Steers in Response to Three Nutrient Density Diets as Fattening Phases Advanced , 2020, Microorganisms.

[13]  E. Halperin,et al.  A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions , 2019, Science Advances.

[14]  G. Plastow,et al.  Host genetics influence the rumen microbiota and heritable rumen microbial features associate with feed efficiency in cattle , 2019, Microbiome.

[15]  Wenjing Niu,et al.  Rumen fermentation, intramuscular fat fatty acid profiles and related rumen bacterial populations of Holstein bulls fed diets with different energy levels , 2019, Applied Microbiology and Biotechnology.

[16]  Jiabao Zhang,et al.  Genome-wide assessment of genetic diversity and population structure insights into admixture and introgression in Chinese indigenous cattle , 2018, BMC Genetics.

[17]  Wenjing Niu,et al.  Effects of dietary protein levels and calcium salts of long-chain fatty acids on nitrogen mobilization, rumen microbiota and plasma fatty acid composition in Holstein bulls , 2018, Animal Feed Science and Technology.

[18]  Wenjing Niu,et al.  Effects of the gender differences in cattle rumen fermentation on anaerobic fermentation of wheat straw , 2018, Journal of Cleaner Production.

[19]  M. McGee,et al.  Residual feed intake phenotype and gender affect the expression of key genes of the lipogenesis pathway in subcutaneous adipose tissue of beef cattle , 2018, Journal of Animal Science and Biotechnology.

[20]  M. Clare,et al.  Residual feed intake phenotype and gender affect the expression of key genes of the lipogenesis pathway in subcutaneous adipose tissue of beef cattle , 2018, Journal of animal science and biotechnology.

[21]  L. Čermák,et al.  Effects of pure plant secondary metabolites on methane production, rumen fermentation and rumen bacteria populations in vitro , 2018, Journal of animal physiology and animal nutrition.

[22]  P. Lonergan,et al.  Plane of nutrition before and after 6 months of age in Holstein-Friesian bulls: II. Effects on metabolic and reproductive endocrinology and identification of physiological markers of puberty and sexual maturation. , 2018, Journal of dairy science.

[23]  S. Fernando,et al.  Rumen bacterial community structure impacts feed efficiency in beef cattle , 2018, Journal of animal science.

[24]  Wenjing Niu,et al.  Effect of calcium salt of long-chain fatty acids and alfalfa supplementation on performance of Holstein bulls , 2017, Oncotarget.

[25]  B. Zhu,et al.  Genetic background analysis and breed evaluation of Yiling yellow cattle , 2017 .

[26]  M. Fletcher,et al.  New candidate markers of phosphorus status in beef breeder cows , 2017 .

[27]  E. Halperin,et al.  Heritable Bovine Rumen Bacteria Are Phylogenetically Related and Correlated with the Cow’s Capacity To Harvest Energy from Its Feed , 2017, mBio.

[28]  Wenjing Niu,et al.  Effects of replacing Leymus chinensis with whole-crop wheat hay on Holstein bull apparent digestibility, plasma parameters, rumen fermentation, and microbiota , 2017, Scientific Reports.

[29]  H. Gonda,et al.  Methane Production in Dairy Cows Correlates with Rumen Methanogenic and Bacterial Community Structure , 2017, Front. Microbiol..

[30]  L. Guan,et al.  Understanding host-microbial interactions in rumen: searching the best opportunity for microbiota manipulation , 2017, Journal of Animal Science and Biotechnology.

[31]  Xiaoxu Wang,et al.  Changes in the rumen microbiome and metabolites reveal the effect of host genetics on hybrid crosses. , 2016, Environmental microbiology reports.

[32]  T. Drake,et al.  Sex differences and hormonal effects on gut microbiota composition in mice , 2016, Gut microbes.

[33]  L. Cersosimo,et al.  Rumen bacterial communities shift across a lactation in Holstein, Jersey and Holstein × Jersey dairy cows and correlate to rumen function, bacterial fatty acid composition and production parameters. , 2016, FEMS microbiology ecology.

[34]  Mick Watson,et al.  Bovine Host Genetic Variation Influences Rumen Microbial Methane Production with Best Selection Criterion for Low Methane Emitting and Efficiently Feed Converting Hosts Based on Metagenomic Gene Abundance , 2016, PLoS genetics.

[35]  Emily R. Davenport,et al.  Genome-Wide Association Studies of the Human Gut Microbiota , 2015, PloS one.

[36]  Songnian Hu,et al.  Metatranscriptomic Analyses of Plant Cell Wall Polysaccharide Degradation by Microorganisms in the Cow Rumen , 2014, Applied and Environmental Microbiology.

[37]  Aly A. Khan,et al.  Gender bias in autoimmunity is influenced by microbiota. , 2013, Immunity.

[38]  Z. Chen,et al.  Genomic and epigenetic insights into the molecular bases of heterosis , 2013, Nature Reviews Genetics.

[39]  S. Moore,et al.  Influence of Sire Breed on the Interplay among Rumen Microbial Populations Inhabiting the Rumen Liquid of the Progeny in Beef Cattle , 2013, PloS one.

[40]  O. Bouchez,et al.  Microbial ecology of the rumen evaluated by 454 GS FLX pyrosequencing is affected by starch and oil supplementation of diets. , 2013, FEMS microbiology ecology.

[41]  S. Tringe,et al.  Isolation of Succinivibrionaceae Implicated in Low Methane Emissions from Tammar Wallabies , 2011, Science.

[42]  B. Beattie,et al.  Imaging of Alkaline Phosphatase Activity in Bone Tissue , 2011, PloS one.

[43]  D. Johnson,et al.  Effects of ractopamine and sex on serum metabolites and skeletal muscle gene expression in finishing steers and heifers. , 2010, Journal of animal science.

[44]  M. McGee,et al.  Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers. , 2010, Journal of animal science.

[45]  N. McEwan,et al.  Cloning and functional expression of dipeptidyl peptidase IV from the ruminal bacterium Prevotella albensis M384T , 2003 .

[46]  N. McEwan,et al.  Cloning and functional expression of dipeptidyl peptidase IV from the ruminal bacterium Prevotella albensis M384(T). , 2003, Microbiology.

[47]  W. A. Phillips,et al.  Genetic x environment interactions on blood constituents of Angus, Brahman, and reciprocal-cross cows and calves grazing common bermudagrass or endophyte-infected tall fescue. , 2001, Journal of Animal Science.

[48]  B. B. Andersen,et al.  Growth of bovine tissues 1. Genetic influences on growth patterns of muscle, fat and bone in young bulls , 1978 .

[49]  M. W. Weatherburn Phenol-hypochlorite reaction for determination of ammonia , 1967 .

[50]  H. Kunkel,et al.  Serum Alkaline Phosphatase Activity in European and Brahman Breeds of Cattle and their Crossbred Types , 1953 .