The article deals with the influence assessment of the composition of highly dispersed particles and small molecules of plant origin on the taxonomic groups of the rumen microbiome. The data analysis showed that the introduction of the studied substances into the diet significantly affects the diversity of taxonomic groups in comparison with the control group, but this does not affect the complexity of their structure. Taxa at the phylum level of Bacteroidetes and Firmicutes prevailed in all groups; their ratio in the control and experimental group I was similar: Bacteroidetes - 39.0%, 15.0% of the total number of bacteria, Firmicutes - 55.0%, 81.8% of the total number of bacteria. In experimental group II, the ratio of dominant phyla changed: Bacteroidetes - 74.3%, Firmicutes - 16.4% of the total number of bacteria in the sample. At the level of the species in the control and experimental group II, Prevotella was the most important - 22.5%, 36.7%, of the total number of bacteria, in the I experimental group Streptococcus - 72.7% of the total number of microorganisms in the sample.

1.
D. K.
Dhanasekaran
,
T. P.
Dias-Silva
,
A. L. A.
Filho
 et al.,
Agroforest Syst
94
1541
1553
(
2020
). doi.org/.
2.
A. L. Abdalla
Filho
,
P. S.
Corrêa
,
L. N.
Lemos
 et al.,
Small Ruminant Research
154
70
77
(
2017
). doi.org/.
3.
Fady Sayed
Youssef
,
Hossny Awad
El-Banna
,
Hesham Youssef
Elzorba
and
Ahmed
Mohamed
,
International Journal of Veterinary Science and Medicine
7
(
1
)
78
93
(
2019
).
4.
D.
Hernández-Sánchez
,
D.
Cervantes-Gómez
,
J. E.
Ramírez-Bribiesca
,
M.
Cobos-Peralta
,
R.
Pinto-Ruiz
,
L.
Astigarraga
,
J. I.
Gere
,
J Sci Food Agric.
99
(
3
)
1073
1077
(
2019
). doi: .
5.
K. N.
Atlanderova
,
A. M.
Makaeva
,
M. Ya.
Kurilkina
,
T. N.
Kholodilina
and
G. K.
Duskaev
,
IOP Conference Series: Earth and Environmental Science
012159
(
2021
).
6.
C.
Matthews
,
F.
Crispie
,
E.
Lewis
,
M.
Reid
,
P. W.
O’Toole
and
P. D.
Cotter
,
Gut Microbes
10
(
2
)
115
132
(
2019
). doi:.
7.
N. K.
Pickering
,
V. H.
Oddy
,
J.
Basarab
 et al.,
Animal
9
(
9
)
1431
1440
(
2015
). doi:.
8.
A.
Nawab
,
G.
Li
,
L.
An
,
Y.
Nawab
,
Yi.
Zhao
,
M.
Xiao
,
S.
Tang
and
C.
Sun
,
Annals of Animal Science
20
(
2
)
355
88
(
2020
).
9.
G.
Henderson
,
F.
Cox
,
S.
Ganesh
,
A.
Jonker
,
W.
Young
and
P. H.
Janssen
,
Sci Rep
5
14567
(
2015
).
10.
D.
Duskova
and
M.
Marounek
,
Lett Appl Microbiol
33
159
163
(
2001
).
11.
D.
Aphale
,
A.
Natu
,
S.
Laldas
and
A.
Kulkarni
,
Vet World
12
(
9
)
1362
1371
(
2019
). doi:.
12.
H.
Wang
,
X.
Pan
,
C.
Wang
,
M.
Wang
and
L.
Yu
,
Anim. Prod. Sci.
55
(
2
)
189
193
(
2015
).
13.
I.
Karimov
,
K.
Kondrashova
,
G.
Duskaev
and
O.
Kvan
,
E3S Web of Conferences
143
02034
(
2020
).
14.
K.
Logachev
,
I.
Karimov
,
G.
Duskaev
,
A.
Frolov
,
S.
Tulebaev
,
O.
Zav’yalov
,
Asian Journal of Animal Sciences
9
(
5
)
248
253
(
2015
).
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