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RESEARCH ARTICLE
Contents Vol 64(1)

Ruminal microbiome and blood parameters in beef cattle fed with high-grain diets buffered with Lithothamnium calcareum

Laís Gabrielly Freitas Lima A , Cíntia Pelegrineti Targueta B , Rhewter Nunes C , Raiany Soares de Paula D , Amanda Martins Apolinário A , Emmanuel Arnhold A , Renata Rodrigues Gomes A , Luis Fernando de Sousa Caixeta E , Eliane Sayuri Miyagi A , Daniel Staciarini Corrêa https://orcid.org/0000-0003-2418-1961 E , Carlos Henrique Xavier https://orcid.org/0000-0003-4006-8213 F , Mariana Pires de Campos Telles G and Reginaldo Nassar Ferreira https://orcid.org/0000-0002-0545-1439 E *
+ Author Affiliations
- Author Affiliations

A Department of Zootechnics, School of Veterinary Medicine and Zootechnics, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.

B Laboratory of Genetics and Biodiversity, Institute of Biological Sciences, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.

C Academic Institute of Health and Biological Sciences, Universidade Estadual de Goiás, Iporá, Goiás, Brazil.

D Department of Veterinary Medicine, School of Veterinary Medicine and Zootechnics, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.

E Laboratory of Digestive Physiology, Institute of Biological Sciences, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.

F Department of Physiological Sciences, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.

G School of Agrarian and Biological Sciences, Pontifical Catholic University of Goiás, Goiânia, Goiás, Brazil.

* Correspondence to: reginaldonassar@gmail.com

Handling Editor: Karen Harper

Animal Production Science 64, AN22192 https://doi.org/10.1071/AN22192
Submitted: 12 December 2022  Accepted: 31 October 2023  Published: 5 December 2023

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context and aims

DNA metabarcoding strategy was used to sequence the 16S rRNA region of ruminal fluid samples from Nellore cattle fed with concentrate-rich diets in response to modulatory effect of buffering additives calcarea seaweed (Lithothamnium calcareum) and sodium bicarbonate.

Methods

Besides characterising the richness and diversity indices of rumen bacterial community, the impact of potentially acidogenic diets on rumen pH, blood parameters, and short-chain fatty acid profile (SCFA) was investigated for which four male Nellore cattle were used, distributed in a 4 × 4 Latin square (treatments × periods). Treatments comprised the same highly concentrated basal diet, and were as follows: T1, without additive (CON); T2, inclusion of 90 g of sodium bicarbonate (BIC); T3, inclusion of 90 g of L. calcareum (L90); and T4, inclusion of 45 g of L. calcareum (L45). Data were analysed in R, in which diversity and abundance at gender level were analysed using Friedman’s test, with means being adjusted by False Discovery Rate (FDR) correction. The analyses of pH, biochemical parameters and SCFA were analysed using Scott–Knott test and means were evaluated with a significance level of 10% (P < 0.10).

Key results

We identified 1474 operational taxonomic units (OTUs) belonging to 52 genera and 16 phyla of bacteria domain. The results showed that bacterial microbiota were dominated by Firmicutes (44.12%), Bacteroidetes (28.29%), and Proteobacteria (5.88%). Animals fed with L90 demonstrated greater abundance and ruminal diversity for the Prevotella genus (P < 0.07% and P < 0.09% respectively), whereas cattle supplemented with L45 demonstrated greater diversity of the Fibrobacter genus (P < 0.05). There were differences in molar proportion for acetic (P < 0.07%) and valeric (P < 0.03%) acids in the period before feeding. Higher blood lactate concentrations were observed in animals supplemented with L45 (P < 0.06%), while animals that received treatments L90 and BIC presented lower levels of blood lactate. This metabolite was lower in animals fed with 90 g of sodium bicarbonate and L. calcareum daily. These treatments also reduced the concentration of acetic acid and increased that of valeric acid, and improved ruminal diversity.

Conclusions and implications

Our results supported this choice to improve ruminal function, with a great prospective of better weight-gain performance in Nellore cattle.

Keywords: bacterial diversity, bacteroidetes, beef cattle, firmicutes, Lithothamnium calcareum, microbiota, rumen, supplementation.

References

Alexandratos N, Bruinsma J (2012) ‘World agriculture towards 2030/2050: the 2012 revision.’ (FAO: Rome, Italy)

Arcuri PB, Lopes FCF, Carneiro JC (2011) Microbiologia Do Rúmen. In ‘Nutrição de Ruminantes’. (Eds TT Berchielli, AV Pires, SG Oliveira) pp. 115–147. (Funep: Jaboticabal, Brazil)

Bolger AM, Lohse M, Usadel B (2014) Trimmomatic: a flexible trimmer for illumina sequence data. Bioinformatics 30(15), 2114-2120.
| Crossref | Google Scholar | PubMed |

Brulc JM, Dionysios AA, Margret EBM, Melissa KW, Anthony CY, Elizabeth A, Dinsdale RE (2009) Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases. Proceedings of the National Academy of Sciences of the United States of America 106(6), 1948-1953.
| Crossref | Google Scholar | PubMed |

Calitz T (2009) The effect of acid buf and combinations of acid buf and sodium bicarbonate in dairy cow diets on production response and rumen parameters. MS Thesis, Stellenbosch University, South Africa.

Carberry CA, Kenny DA, Han S, McCabe MS, Waters SM (2012) Effect of phenotypic residual feed intake and dietary forage content on the rumen microbial community of beef cattle. Applied and Environmental Microbiology 78(14), 4949-4958.
| Crossref | Google Scholar | PubMed |

Chen T, Long W, Zhang C, Liu S, Zhao L, Hamaker BR (2017) Fiber-utilizing capacity varies in prevotella- versus bacteroides-dominated gut microbiota. Scientific Reports 7(1), 2594.
| Crossref | Google Scholar |

Cotta MA (1992) Interaction of ruminal bacteria in the production and utilization of maltooligosaccharides from starch. Applied and Environmental Microbiology 58(1), 48-54.
| Crossref | Google Scholar | PubMed |

Cruywagen CW, Taylor S, Beya MM, Calitz T (2015) The effect of buffering dairy cow diets with limestone, calcareous marine algae, or sodium bicarbonate on ruminal pH profiles, production responses, and rumen fermentation. Journal of Dairy Science 98(8), 5506-5514.
| Crossref | Google Scholar | PubMed |

D’Amore R, Ijaz UZ, Schirmer M, Kenny JG, Gregory R, Darby AC, Shakya M, Podar M, Quince C, Hall N (2016) A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling. BMC Genomics 17(1), 55.
| Crossref | Google Scholar |

Deusch S, Camarinha-Silva A, Conrad J, Beifuss U, Rodehutscord M, Seifert J (2017) A structural and functional elucidation of the rumen microbiome influenced by various diets and microenvironments. Frontiers in Microbiology 8(AUG), 1605.
| Crossref | Google Scholar |

Finneran E, Crosson P, O’Kiely P, Shalloo L, Forristal D, Wallace M (2010) Simulation modelling of the cost of producing and utilising feeds for ruminants on Irish farms. Journal of Farm Management 14(2), 95-116.
| Google Scholar |

Fliegerova K, Tapio I, Bonin A, Mrazek J, Callegari ML, Bani P, Bayat A (2014) Effect of DNA extraction and sample preservation method on rumen bacterial population. Anaerobe 29, 80-84.
| Crossref | Google Scholar | PubMed |

Fraser D (1993) Assessing animal well-being: common sense, uncommon science. In ‘Food animal well-being’. pp. 37–54. (Purdue University, Office of Agricultural Research Programs). Available at http://animalstudiesrepository.org/assawel

Golder HM, LeBlanc SJ, Duffield T, Rossow HA, Bogdanich R, Hernandez L, Block E, Rehberger J, Smith AH, Thomson J, Lean IJ (2023) Characterizing ruminal acidosis risk: a multiherd, multicountry study. Journal of Dairy Science 106(5), 3155-3175.
| Crossref | Google Scholar | PubMed |

González FHD (2000) O Uso Do Perfil Metabólico No Diagnóstico de Doenças Metabólico-Nutricionais Em Ruminantes. In ‘Perfil Metabólico Em Ruminantes: Seu Uso Em nutrição e Doenças Nutricionais’. p. 108. (Universidade Federal do Rio Grande do Sul: Brazil)

González FHD, Scheffer JFS (2003) Perfil Sanguíneo: Ferramenta de Análise Clínica Metabólica e Nutricional. Avaliação Metabólito – Nutricional de Vacas Leiteiras Por Meio de Fluidos Corporais (Sangue, Leite e Urina). Paper presented at ‘Congresso Nacional De Medicina Veterinária’ In Vol. 29. pp. 5-17 Anais. SBMV E SOVERGS Gramado, RS, Brazil.
| Google Scholar |

Gupta RS (2000) The phylogeny of proteobacteria: relationships to other eubacterial phyla and eukaryotes. FEMS Microbiology Reviews 24(4), 367-402.
| Crossref | Google Scholar | PubMed |

Henderson G, Cox F, Ganesh S, Jonker A, Young W, Global Rumen Census Collaborators, Janssen PH (2015) Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. Scientific Reports 5, 14567.
| Crossref | Google Scholar |

Hungate RE (1966) ‘The rumen and its microbes.’ (Academic Press: Davis, CA, USA)

Illumina (2013) 16S metagenomic sequencing library preparation: preparing 16S ribosomal RNA gene amplicons for the Illumina MiSeq System. Illumina.com, no. B: 1–28. Available at http://support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/16s/16s-metagenomic-library-prep-guide-15044223-b.pdf

Jami E, White BA, Mizrahi I (2014) Potential role of the bovine rumen microbiome in modulating milk composition and feed efficiency. PLoS ONE 9(1), e85423.
| Crossref | Google Scholar |

Kaneko JJ, Harvey JW, Bruss ML (1997) ‘Clinical biochemistry of domestic animals.’ 5th edn. (Academic Press)

Kaneko JJ, Harvey JW, Bruss ML (2008) ‘Clinical biochemistry of domestic animal.’ 6th edn. (Academic Press: San Diego, CA, USA)

Khorasani GR, Kennelly JJ (2001) Influence of carbohydrate source and buffer on rumen fermentation characteristics, milk yield, and milk composition in late-lactation holstein cows. Journal of Dairy Science 84(7), 1707-1716.
| Crossref | Google Scholar | PubMed |

Kim J (2015) How to choose the level of significance: a pedagogical note. Munich Personal RePEc Archive Available at https://mpra.ub.uni-muenchen.de/69992/.
| Google Scholar |

Kittelmann S, Pinares-Patiño CS, Seedorf H, Kirk MR, Ganesh S, McEwan JC, Janssen PH (2014) Two different bacterial community types are linked with the low-methane emission trait in sheep. PLoS ONE 9(7), e103171.
| Crossref | Google Scholar | PubMed |

Koike S, Pan J, Kobayashi Y, Tanaka K (2003) Kinetics of in sacco fiber-attachment of representative ruminal cellulolytic bacteria monitored by competitive PCR. Journal of Dairy Science 86(4), 1429-1435.
| Crossref | Google Scholar | PubMed |

Krause M, K, Oetzel GR (2006) Understanding and preventing subacute ruminal acidosis in dairy herds: a review. Animal Feed Science and Technology 126(3–4), 215-236.
| Crossref | Google Scholar |

Lindsey BJ (1996) Amino acids and proteins. In ‘Clinical chemistry: principles, procedures and correlations’. (Eds ML Bishop, JL Duben-Engelkirk, EP Fody) pp. 167–206. (Lippincott: Philadelphia, PA, USA)

Matsui H, Ogata K, Tajima K, Nakamura M, Nagamine T, Aminov RI, Benno Y (2000) Phenotypic characterization of polysaccharidases produced by four prevotella type strains. Current Microbiology 41(1), 45-49.
| Crossref | Google Scholar | PubMed |

McAllister TA, Cheng K-J, Rode LM, Forsberg CW (1990) Digestion of barley, maize, and wheat by selected species of ruminal bacteria. Applied and Environmental Microbiology 56(10), 3146-3153.
| Crossref | Google Scholar | PubMed |

McDonald P, Edwards RA, Greenhalgh JFD, Morgan CA (2002) Digestion. In ‘Animal nutrition’. 6th edn. (Eds P McDonald, RA Edwards, JFD Greenhalgh, CA Morgan, LA Sinclair, RG Wilkinson) pp. 163–243. (Pearson Education: Harlow, UK)

McGovern E, Kenny DA, McCabe MS, Fitzsimons C, McGee M, Kelly AK, Waters SM (2018) 16S RRNA sequencing reveals relationship between potent cellulolytic genera and feed efficiency in the rumen of bulls. Frontiers in Microbiology 9(AUG), 1842.
| Crossref | Google Scholar |

Miller TL (1978) The pathway of formation of acetate and succinate from pyruvate by Bacteroides succinogenes. Archives of Microbiology 117(2), 145-152.
| Crossref | Google Scholar | PubMed |

Miura H, Horiguchi M, Matsumoto T (1980) Nutritional interdependence among rumen bacteria, Bacteroides Amylophilus, Megasphaera Elsdenii, and Ruminococcus Albus. Applied and Environmental Microbiology 40(2), 294-300.
| Crossref | Google Scholar |

Murphy MR, Baldwin RL, Koong LJ (1982) Estimation of stoichiometric parameters for rumen fermentation of roughage and concentrate diets. Journal of Animal Science 55(2), 411-421.
| Crossref | Google Scholar | PubMed |

Nelson WO, Oppermann RA, Brown RE (1958) In vitro studies on methanogenic rumen bacteria. II. fermentation of butyric and valeric acid. Journal of Dairy Science 41(4), 545-551.
| Crossref | Google Scholar |

Opio C, Gerber P, Mottet A, Falcucci A, Tempio G, MacLeod M, et al. (2013) ‘Greenhouse gas emissions from ruminant supply chains. A global life cycle assessment.’ (Food and Agriculture Organization of the United Nations (FAO): Rome, Italy)

Paster BJ, Canale-Parola E (1982) Physiological diversity of rumen spirochetes. Applied and Environmental Microbiology 43(3), 686-693.
| Crossref | Google Scholar |

Pollock J, Glendinning L, Wisedchanwet T, Watsonb M (2018) Cross the madness of microbiome : attempting to find consensus, “Best Practice” for 16S microbiome studies. Applied and Environmental Microbiology 84(7), 1-12.
| Crossref | Google Scholar |

Prado OF (2018) Aspectos Metabólicos Plasmáticos de Novilhas Nelore e Cruzadas Confinadas. 64. [dissertação]. Disponível em: https://sistemas.ifgoiano.edu.br/sgcursos/uploads/anexos_10/2018-08-14-11-51-19DISSERTACAO ORNELLA.pdf

Præsteng KE, Phillip BP, Isaac KO, Cann RI, Mackie SD, Mathiesen LP, Folkow VG, Eijsink H, Monica AS (2013) Probiotic dosing of Ruminococcus Flavefaciens affects rumen microbiome structure and function in reindeer. Microbial Ecology 66(4), 840-849.
| Crossref | Google Scholar | PubMed |

Rossi CAS, Compiani R, Baldi G, Taylor SJ, Righi F, Simoni M, Quarantelli A (2019) Replacing sodium bicarbonate with half amount of calcareous marine algae in the diet of beef cattle. Revista Brasileira de Zootecnia 48, e20180129.
| Crossref | Google Scholar |

Russell JB (1983) Fermentation of peptides by Bacteroides ruminicola B14. Applied and Environmental Microbiology 45(5), 1566-1574.
| Crossref | Google Scholar | PubMed |

Shabat SKB, Sasson G, Doron-Faigenboim A, Durman T, Yaacoby S, Miller MEB, White BA, Shterzer N, Mizrahi I (2016) Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants. The International Society for Microbial Ecology Journal 10, 2958-2972.
| Crossref | Google Scholar |

Simanungkalit G, Bhuiyan M, Bell R, Sweeting A, Morton CL, Cowley F, Hegarty R (2023) The effects of antibiotic-free supplementation on the ruminal pH variability and methane emissions of beef cattle under the challenge of subacute ruminal acidosis (SARA). Research in Veterinary Science 160, 30-38.
| Crossref | Google Scholar | PubMed |

Suen G, Weimer PJ, Stevenson DM, Aylward FO, Boyum J, Deneke J, Drinkwater C, et al. (2011) The complete genome sequence of Fibrobacter Succinogenes S85 reveals a cellulolytic and metabolic specialist. PLoS ONE 6(4), e18814.
| Crossref | Google Scholar |

Sun H-Z, Xue M, Guan LL, Liu J (2019) A collection of rumen bacteriome data from 334 mid-lactation dairy cows. Scientific Data 6, 180301.
| Crossref | Google Scholar |

Taberlet P, Coissac E, Pompanon F, Brochmann C, Willerslev E (2012) Towards next-generation biodiversity assessment using DNA metabarcoding. Molecular Ecology 21(8), 2045-2050.
| Crossref | Google Scholar | PubMed |

Van Soest PJ (1994) Fiber. In ‘Nutritional ecology of the ruminant’. (Ed. PJ Van Soest) 2nd edn. pp. 140–155. (Comstock Publishing Associates: London, UK)

Vernon C, LeTourneau JL (2010) Lactic acidosis: recognition, kinetics, and associated prognosis. Critical Care Clinics 26(2), 255-283.
| Crossref | Google Scholar | PubMed |

Wallace JR, Sasson G, Garnsworthy PC, Tapio I, Gregson E, Bani P, Huhtanen P, et al. (2019) A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions. Science Advances 5(7), eaav8391.
| Crossref | Google Scholar |

Wang Z, Elekwachi C, Jiao J, Wang M, Tang S, Zhou C, Tan Z, Forster RJ (2017) Changes in metabolically active bacterial community during rumen development, and their alteration by rhubarb root powder revealed by 16s RRNA amplicon sequencing. Frontiers in Microbiology 8(FEB), 159.
| Crossref | Google Scholar |

Wittek T, Grosche A, Locher L, Alkaassem A, Fürll M (2010) Biochemical constituents of peritoneal fluid in cows. Veterinary Record 166(1), 15-19.
| Crossref | Google Scholar | PubMed |

Wu S, Baldwin RL, Li W, Li C, Connor EE, Li RW (2012) The bacterial community composition of the bovine rumen detected using pyrosequencing of 16S rRNA genes. Metagenomics 1, 235571.
| Crossref | Google Scholar |

Xu S, Harrison JH, Riley RE, Loney KA (1994) Effect of buffer addition to high grain total mixed rations on rumen pH, feed intake, milk production, and milk composition. Journal of Dairy Science 77(3), 782-788.
| Crossref | Google Scholar | PubMed |