The relationship between rumen microbiota and animal performance of lambs fed polyherbal additives
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Abstract
The relationship between lamb productive parameters and changes in the ruminal microbial community in response to different polyherbal mixtures in the feed was analyzed. Ruminal fluid samples were collected from finishing lambs fed polyherbal diets and their control groups in four independent experiments. The microbial community analysis of ruminal microbiota, based on sequencing of partial 16S rRNA genes, showed no differences in richness and diversity caused by polyherbals. Relative abundance analysis of microbial families showed that polyherbals increased the abundance of Succinivibrionaceae (P < 0.05) and reduced that of Ruminococcaceae (P < 0.10). Microbial biomass estimated with the National Research Council model allowed us to identify some relationships with productive parameters with multiple regression. Rikenellaceae and Coriobacteriaceae were negatively related with average daily gain (ADG) in all lambs. The feed efficiency was negatively associated with methanogenic Archaea in lambs fed polyherbals, whereas in control lambs, it was negatively related to Succinivibrionaceae. Feed intake showed a positive association with the biomass of methanogenic Archaea in all lambs, and Methanobacteriaceae biomass was also associated with the consumption of neutral detergent fiber (NDF) and acid detergent fiber (ADF) fractions. Polyherbals increased the abundance of Succinivibrionaceae and reduced that of Ruminococcaceae, without affecting richness and diversity. Methanogenic Archaea seem to play an important role in lamb performance.
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Valenzuela-Grijalva NV, Pinelli-Saavedra A, Muhlia-Almazan A, Domínguez-Díaz D, González-Ríos H. Dietary inclusion effects of phytochemicals as growth promoters in animal production. Journal of Animal Science and Technology. 2017;59:8. doi: 10.1186/s40781-017-0133-9.
Martínez-Aispuro JA, Mendoza GD, Cordero-Mora JL, Ayala-Monter MA, Sánchez-Torres MT, Figueroa-Velasco JL, et al. Evaluation of an herbal choline feed plant additive in lamb feedlot rations. Revista Brasileira de Zootecnia. 2019;48. doi: 10.1590/rbz4820190020.
Ortega NI, Mendoza GD, Barcena R, Hernández PA, Espinosa E, Martínez JA, et al. Economic impact of polyherbal mixtures containing choline, lysine, and methionine on milk production and health of dairy cows. Emirates Journal of Food and Agriculture. 2020;32(12):864−870. doi: 10.9755/ejfa.2020.v32.i12.2219.
Díaz C, Méndez ET, Martínez D, Gloria A, Hernández PA, Espinosa E, et al. Influence of a polyherbal mixture in dairy calves: growth performance and gene expression. Frontiers in Veterinary Science. 2021;7:623710. doi: 10.3389/fvets.2020.623710.
Sánchez N, Lee-Rangel HA, Martínez-Cortés I, Mendoza GD, Hernández PA, Espinoza E, et al. A polyherbal phytogenic additive improved growth performance, health, and immune response in dairy calves. Food and Agricultural Immunology. 2021;32(1):482−498. doi: 10.1080/09540105.2021.1967296.
FrankIč T, Voljč M, Salobir J, Rezar V. Use of herbs and spices and their extracts in animal nutrition. Acta Agriculturae Slovenica. 2009;94(2):95−102. doi: 10.14720/aas.2009.94.2.14834.
Ku-Vera JC, Jiménez-Ocampo R, Valencia-Salazar SS, Montoya-Flores MD, Molina-Botero IC, Arango J, et al. Role of secondary plant metabolites on enteric methane mitigation in ruminants. Frontiers in Veterinary Science. 2020;7:584. doi: 10.3389/fvets.2020.00584.
Crosby MM, Mendoza-Martinez GD, Relling A, Vazquez VA, Lee-Rangel H, Martinez J, et al. Influence of supplemental choline on milk yield, fatty acid profile, and postpartum weight changes in suckling ewes. Journal Dairy Science. 2017;100(125):30813−308134.
Mendoza GD, Oviedo MF, Pinos JM, Lee-Rangel HA, Vázquez A, Flores R, Pérez F, Roque A, Cifuentes O. Milk production in dairy cows supplemented with herbal choline and methionine. Revista de la Facultad de Ciencias Agrarias UNCuyo, 2020;52(1):332−343.
Qin X, Zhang T, Cao Y, Deng B, Zhang J, Zhao J. Effects of dietary sea buckthorn pomace supplementation on skeletal muscle mass and meat quality in lambs. Meat Science. 2020;166:108141. doi: 10.1016/j.meatsci.2020.108141.
Muqier Qi S, Wang T, Chen R, Wang C, Ao C. Effects of flavonoids from Allium mongolicum Regel on growth performance and growth-related hormones in meat sheep. Animal Nutrition. 2017;3(1):33−38. doi: 10.1016/j.aninu.2017.01.003.
Cimmino R, Barone CMA, Claps S, Varricchio E, Rufrano D, Caroprese M, et al. Effects of dietary supplementation with polyphenols on meat quality in Saanen goat kids. BMC Veterinary Research. 2018; 14(1):181. doi: 10.1186/s12917-018-1513-1.
Balcells J, Aris A, Serrano A, Seradj AR, Crespo J, Devant M. Effects of an extract of plant flavonoids (Bioflavex) on rumen fermentation and performance in heifers fed high-concentrate diets. Journal of Animal Science. 2012;90(13):4975−4984. doi: 10.2527/jas.2011-4955.
Seradj AR, Abecia L, Crespo J, Villalba D, Fondevila M, Balcells J. The effect of Bioflavex® and its pure flavonoid components on in vitro fermentation parameters and methane production in rumen fluid from steers given high concentrate diets. Animal Feed Science and Technology. 2014;197:85−91. doi: 10.1016/j.anifeedsci.2014.08.013.
Du H, Erdene K, Chen S, Qi S, Bao Z, Zhao Y, et al. Correlation of the rumen fluid microbiome and the average daily gain with a dietary supplementation of Allium mongolicum Regel extracts in sheep. Journal of Animal Science. 2019;97(7):2865−2877. doi: 10.1093/jas/skz139.
Suong NTM, Paengkoum S, Schonewille JT, Purba RAP, Paengkoum P. Growth performance, blood biochemical indices, rumen bacterial community, and carcass characteristics in goats fed anthocyanin-rich black cane silage. Frontiers in Veterinary Science. 2022;9:880838. doi: 10.3389/fvets.2022.880838.
Tian XZ, Li JX, Luo QY, Zhou D, Long QM, Wang X, et al. Effects of purple corn anthocyanin on blood biochemical indexes, ruminal fluid fermentation, and rumen microbiota in goats. Frontiers in Veterinary Science. 2021;8:715710. doi: 10.3389/fvets.2021.715710.
Myer PR, Freetly HC, Wells JE, Smith TPL, Kuehn LA. Analysis of the gut bacterial communities in beef cattle and their association with feed intake, growth, and efficiency. Journal of Animal Science. 2017;95(7):3215−3224. doi: 10.2527/jas.2016.1059.
Paz HA, Hales KE, Wells JE, Kuehn LA, Freetly HC, Berry ED, Flythe MD, Spangler ML, Fernando SC. Rumen bacterial community structure impacts feed efficiency in beef cattle. Journal of Animal Science. 2018;96(3):1045−1058. doi: 10.1093/jas/skx081.
Lozano-Sánchez M, Mendoza-Martínez GD, Martínez-García JA, de la Torre-Hernández ME, Chamorro-Ramírez FH, Martínez-Aispuro JA, et al. Evaluation of polyherbal with vitamin C activity on lamb performance and meat characteristics. Revista Brasileira de Zootecnia, 2021;50:e20200166. doi: 10.37496/rbz5020200166.
Razo PB, Mendoza GD, Vazquez G, Osorio AI, González JF, Hernández PA, et al. Polyherbal feed additive for lambs: effects on performance, blood biochemistry, and biometry. Journal of Applied Animal Research, 2020;48(1):419−424. doi: 10.1080/09712119.2020.1814786.
Orzuna-Orzuna JF, Dorantes-Iturbide G, Lara-Bueno A, Mendoza-Martínez GD, Miranda-Romero LA, Hernández-García PA. Growth performance, carcass characteristics, and blood metabolites of lambs supplemented with a polyherbal mixture. Animals. 2021;11(4):955. doi: 10.3390/ani11040955.
Dorantes-Iturbide G, Orzuna-Orzuna JF, Lara-Bueno A, Miranda-Romero LA, Mendoza-Martínez GD, Hernández-García PA. Effects of a polyherbal dietary additive on performance, dietary energetics, carcass traits, and blood metabolites of finishing lambs. Metabolites, 2022;12(5):413. doi: 10.3390/metabo12050413.
Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. DADA2: High-resolution sample inference from Illumina amplicon data. Nature Methods. 2016;13(7):581−583. doi: 10.1038/nmeth.3869.
Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nature Methods. 2010;7(5):335−336. doi: 10.1038/nmeth.f.303.
National Academies of Sciences, Engineering, and Medicine. Nutrient requirements of beef cattle. Eighth revised edition. Washington, DC: The National Academies Press; 2016. 494 pp. doi: 10.17226/19014.
Guan LL, Nkrumah JD, Basarab JA Moore SS. Linkage of microbial ecology to phenotype: correlation of rumen microbial ecology to cattle's feed efficiency. FEMS Microbiology Letters. 2008;288(1):85−91. doi: 10.1111/j.1574-6968.2008.01343.x.
Lourenco JM, Welch CB, Krause TR, Wieczorek MA, Fluharty FL, Rothrock MJ, et al. Fecal microbiome differences in Angus steers with differing feed efficiencies during the feedlot-finishing phase. Microorganisms. 2022;10(6):1128. doi: 10.3390/microorganisms10061128.
Hassan FU, Ebeid HM, Tang Z, Li M, Peng L, Peng K, et al. A mixed phytogenic modulates the rumen bacteria composition and milk fatty acid profile of water buffaloes. Frontiers in Veterinary Science. 2020;7:569. doi: 10.3389/fvets.2020.00569.
Joch M, Mrázek J, Skřivanová E, Čermák L Marounek M. Effects of pure plant secondary metabolites on methane production, rumen fermentation and rumen bacteria populations in vitro. Journal of Animal Physiology and Animal Nutrition. 2018;102(4):869−881. doi: 10.1111/jpn.12910.
Kamke J, Soni P, Li Y, Ganesh S, Kelly WJ, Leahy SC, et al. Gene and transcript abundances of bacterial type III secretion systems from the rumen microbiome are correlated with methane yield in sheep. BMC Research Notes. 2017;10(1):367. doi: 10.1186/s13104-017-2671-0.
Santos EDO, Thompson F. The Family Succinivibrionaceae. In: E Rosenberg, EF deLong, S Lory, E Stackebrandt, F Thompson, editors. The Prokaryotes. Berlin: Springer; 2014. pp. 639−648. doi: 10.1007/978-3-642-38922-1_368.
Ramayo-Caldas Y, Zingaretti L, Popova M, Estellé J, Bernard A, Pons N, et al. Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows. Journal of Animal Breeding and Genetics. 2020;137(1):49−59. doi: 10.1111/jbg.12427.
Hailemariam S, Zhao S, Wang J. Complete genome sequencing and transcriptome analysis of nitrogen metabolism of Succinivibrio dextrinosolvens strain Z6 isolated from dairy cow rumen. Frontiers in Microbiology. 2020;11:1826. doi: 10.3389/fmicb.2020.01826.
Petri RM, Schwaiger T, Penner GB, Beauchemin KA, Forster RJ, McKinnon JJ, et al. Characterization of the core rumen microbiome in cattle during transition from forage to concentrate as well as during and after an acidotic challenge. PLoS One. 2013;8(12):e83424. doi: 10.1371/journal.pone.0083424.
Kamke J, Kittelmann S, Soni P, Li Y, Tavendale M, Ganesh S, et al. Rumen metagenome and metatranscriptome analyses of low methane yield sheep reveals a Sharpea-enriched microbiome characterised by lactic acid formation and utilisation. Microbiome. 2016;4(1):56. doi: 10.1186/s40168-016-0201-2.
McCabe MS, Cormican P, Keogh K, O'Connor A, O'Hara E, Palladino RA, et al. Illumina MiSeq phylogenetic amplicon sequencing shows a large reduction of an uncharacterised Succinivibrionaceae and an increase of the Methanobrevibacter gottschalkii clade in feed restricted cattle. PLoS One. 2015;10(7):e0133234. doi: 10.1371/journal.pone.0133234.
Deusch S, Camarinha-Silva A, Conrad J, Beifuss U, Rodehutscord M, Seifert J. A structural and functional elucidation of the rumen microbiome influenced by various diets and microenvironments. Frontiers in Microbiology. 2017;8:1605. doi: 10.3389/fmicb.2017.01605.
Henderson G, Cox F, Ganesh S, Jonker A, Young W, Global Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range. Scientific Reports. 2005;5:14567. doi.org/10.1038/srep14567
Chassagne F, Samarakoon T, Porras G, Lyles JT, Dettweiler M, Marquez L, et al. A systematic review of plants with antibacterial activities: a taxonomic and phylogenetic perspective. Frontiers in Pharmacology. 2021;11:586548. doi: 10.3389/fphar.2020.586548.
Carberry CA, Waters SM, Kenny DA, Creevey CJ. Rumen methanogenic genotypes differ in abundance according to host residual feed intake phenotype and diet type. Applied and Environmental Microbiology. 2014;80(2):586−594. doi: 10.1128/AEM.03131-13
Doreau M, van der Werf HMG, Micol D, Dubroeucq H, Agabriel J, Rochette Y, et al. Enteric methane production and greenhouse gases balance of diets differing in concentrate in the fattening phase of a beef production system. Journal Animal Science. 2011;89(8):2518−2528. doi: 10.2527/jas.2010-3140.
Mendoza GD, Britton RA, Stock RA. Influence of ruminal protozoa on site and extent of starch digestion and ruminal fermentation. Journal of Animal Science. 1993;71(6):1572−1578. doi: 10.2527/1993.7161572x.
Saminathan M, Sieo CC, Abdullah N, Wong CM, Ho YW. Effects of condensed tannin fractions of different molecular weights from a Leucaena leucocephala hybrid on in vitro methane production and rumen fermentation. Journal of the Science of Food and Agriculture. 2015;95(13):2742−2749. doi: 10.1002/jsfa.7016.
Lorenzana A, Lizarazo A, de la Torre M, Plata F, Mendoza G. Comparison of a polyherbal mixture with a rumen-protected lysine on lamb growth, protozoan count and blood chemistry. International Journal of Agriculture and Biological Sciences. 2020;4(2):32−39. doi: 10.5281/zenodo.3986575.
Mendoza GD, Britton RA, Stock RA. Effect of feeding mixtures of high moisture corn and dry-rolled grain sorghum on ruminal fermentation and starch digestion. Small Ruminant Research. 1999;32(2):113−118. doi: 10.1016/S0921-4488(98)00161-8.
Morgavi DP, Jouany JP, Martin C. Changes in methane emission and rumen fermentation parameters induced by refaunation in sheep. Australian Journal of Experimental Agriculture. 2008:48(2):69−72. doi: 10.1071/EA07236.
Janssen PH. Influence of hydrogen on rumen methane formation and fermentation balances through microbial growth kinetics and fermentation thermodynamics. Animal Feed Science and Technology. 2010;160(1):1−22. doi: 10.1016/j.anifeedsci.2010.07.002.
Hook SE, Dijkstra J, Wright ADG, McBride BW, France J. Modeling the distribution of ciliate protozoa in the reticulo-rumen using linear programming. Journal Dairy Science. 2012;95(1):255−265. doi: 10.3168/jds.2011-4352.
Ushida K, Newbold CJ, Jouany JP. Interspecies hydrogen transfer between the rumen ciliate Polyplastron multivesiculatum and Methanosarcina barkeri. The Journal of General and Applied Microbiology. 1997;43(2):129−131. doi: 10.2323/jgam.43.129.
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