Long-term effects of early-life rumen microbiota modulation on dairy cow production performance and methane emissions

被引:7
作者
Huuki, Hanna [1 ,2 ]
Tapio, Miika [2 ]
Mantysaari, Paivi [3 ]
Negussie, Enyew [2 ]
Ahvenjarvi, Seppo [3 ]
Vilkki, Johanna [2 ]
Vanhatalo, Aila [1 ]
Tapio, Ilma [2 ]
机构
[1] Univ Helsinki, Dept Agr Sci, Helsinki, Finland
[2] Nat Resources Inst Finland Luke, Prod Syst Genom & Breeding, Jokioinen, Finland
[3] Nat Resources Inst Finland Luke, Anim Nutr, Prod Syst, Jokioinen, Finland
关键词
rumen function; microbiome modulation; microbiome establishment; heifer; dairy cow; RUMINIS GEN-NOV; BACTERIAL COMMUNITY; ANAEROBIC FUNGI; PRODUCTION EFFICIENCY; ENERGY EFFICIENCY; MILK-PRODUCTION; COLONIZATION; HOLSTEIN; FERMENTATION; INOCULATION;
D O I
10.3389/fmicb.2022.983823
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Rumen microbiota modulation during the pre-weaning period has been suggested as means to affect animal performance later in life. In this follow-up study, we examined the post-weaning rumen microbiota development differences in monozygotic twin-heifers that were inoculated (T-group) or not inoculated (C-group) (n = 4 each) with fresh adult rumen liquid during their pre-weaning period. We also assessed the treatment effect on production parameters and methane emissions of cows during their 1(st) lactation period. The rumen microbiota was determined by the 16S rRNA gene, 18S rRNA gene, and ITS1 amplicon sequencing. Animal weight gain and rumen fermentation parameters were monitored from 2 to 12 months of age. The weight gain was not affected by treatment, but butyrate proportion was higher in T-group in month 3 (p = 0.04). Apart from archaea (p = 0.084), the richness of bacteria (p < 0.0001) and ciliate protozoa increased until month 7 (p = 0.004) and anaerobic fungi until month 11 (p = 0.005). The microbiota structure, measured as Bray-Curtis distances, continued to develop until months 3, 6, 7, and 10, in archaea, ciliate protozoa, bacteria, and anaerobic fungi, respectively (for all: p = 0.001). Treatment or age x treatment interaction had a significant (p < 0.05) effect on 18 bacterial, 2 archaeal, and 6 ciliate protozoan taxonomic groups, with differences occurring mostly before month 4 in bacteria, and month 3 in archaea and ciliate protozoa. Treatment stimulated earlier maturation of prokaryote community in T-group before month 4 and earlier maturation of ciliate protozoa at month 2 (Random Forest: 0.75 month for bacteria and 1.5 month for protozoa). No treatment effect on the maturity of anaerobic fungi was observed. The milk production and quality, feed efficiency, and methane emissions were monitored during cow's 1(st) lactation. The T-group had lower variation in energy-corrected milk yield (p < 0.001), tended to differ in pattern of residual energy intake over time (p = 0.069), and had numerically lower somatic cell count throughout their 1(st) lactation period (p = 0.081), but no differences between the groups in methane emissions (g/d, g/kg DMI, or g/kg milk) were observed. Our results demonstrated that the orally administered microbial inoculant induced transient changes in early rumen microbiome maturation. In addition, the treatment may influence the later production performance, although the mechanisms that mediate these effects need to be further explored.
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页数:21
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共 110 条
  • [31] Description of Alloprevotella rava gen. nov., sp nov., isolated from the human oral cavity, and reclassification of Prevotella tannerae Moore et al. 1994 as Alloprevotella tannerae gen. nov., comb. nov.
    Downes, Julia
    Dewhirst, Floyd E.
    Tanner, Anne C. R.
    Wade, William G.
    [J]. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, 2013, 63 : 1214 - 1218
  • [32] INTER-RELATIONSHIPS BETWEEN CERTAIN RUMEN CILIATE PROTOZOA
    EADIE, JM
    [J]. JOURNAL OF GENERAL MICROBIOLOGY, 1962, 29 (04): : 579 - &
  • [33] DEVELOPMENT OF RUMEN MICROBIAL POPULATIONS IN LAMBS AND CALVES UNDER VARIOUS CONDITIONS OF MANAGEMENT
    EADIE, JM
    [J]. JOURNAL OF GENERAL MICROBIOLOGY, 1962, 29 (04): : 563 - &
  • [34] Search and clustering orders of magnitude faster than BLAST
    Edgar, Robert C.
    [J]. BIOINFORMATICS, 2010, 26 (19) : 2460 - 2461
  • [35] Dynamics of initial colonization of nonconserved perennial ryegrass by anaerobic fungi in the bovine rumen
    Edwards, Joan E.
    Kingston-Smith, Alison H.
    Jimenez, Hugo R.
    Huws, Sharon A.
    Skot, Kirsten P.
    Griffith, Gareth W.
    McEwan, Neil R.
    Theodorou, Michael K.
    [J]. FEMS MICROBIOLOGY ECOLOGY, 2008, 66 (03) : 537 - 545
  • [36] Erickson PS, 2020, ANIMAL AGRICULTURE: SUSTAINABILITY, CHALLENGES AND INNOVATIONS, P157, DOI 10.1016/B978-0-12-817052-6.00009-4
  • [37] FAO, 2019, 5 PRACT ACT LOW CARB
  • [38] Stochasticity constrained by deterministic effects of diet and age drive rumen microbiome assembly dynamics
    Furman, Ori
    Shenhav, Liat
    Sasson, Goor
    Kokou, Fotini
    Honig, Hen
    Jacoby, Shamay
    Hertz, Tomer
    Cordero, Otto X.
    Halperin, Eran
    Mizrahi, Itzhak
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [39] Short communication: Signs of host genetic regulation in the microbiome composition in 2 dairy breeds: Holstein and Brown Swiss
    Gonzalez-Recio, O.
    Zubiria, I.
    Garcia-Rodriguez, A.
    Hurtado, A.
    Atxaerandio, R.
    [J]. JOURNAL OF DAIRY SCIENCE, 2018, 101 (03) : 2285 - 2292
  • [40] Human Genetics Shape the Gut Microbiome
    Goodrich, Julia K.
    Waters, Jillian L.
    Poole, Angela C.
    Sutter, Jessica L.
    Koren, Omry
    Blekhman, Ran
    Beaumont, Michelle
    Van Treuren, William
    Knight, Rob
    Bell, Jordana T.
    Spector, Timothy D.
    Clark, Andrew G.
    Ley, Ruth E.
    [J]. CELL, 2014, 159 (04) : 789 - 799