Detail
Článek
Článek online
FT
Medvik - BMČ
  • Je něco špatně v tomto záznamu ?

Effects of Isoflavone-Enriched Feed on the Rumen Microbiota in Dairy Cows

J. Kasparovska, M. Pecinkova, K. Dadakova, L. Krizova, S. Hadrova, M. Lexa, J. Lochman, T. Kasparovsky,

. 2016 ; 11 (4) : e0154642. [pub] 20160428

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc17024032

In this study, we compared the effects of two diets containing different isoflavone concentrations on the isoflavone transfer from feed into milk and on the rumen microbiota in lactating dairy cows. The on-farm experiment was conducted on twelve lactating Czech Fleckvieh x Holstein cows divided into two groups, each with similar mean milk yield. Twice daily, cows were individually fed a diet based on maize silage, meadow hay and supplemental mixture. Control group (CTRL) received the basal diet while the experimental group (EXP) received the basal diet supplemented with 40% soybean isoflavone extract. The average daily isoflavone intake in the EXP group (16 g/day) was twice as high as that in the CTRL group (8.4 g/day, P<0.001). Total isoflavone concentrations in milk from the CTRL and EXP groups were 96.89 and 276.07 μg/L, respectively (P<0.001). Equol concentrations in milk increased from 77.78 μg/L in the CTRL group to 186.30 μg/L in the EXP group (P<0.001). The V3-4 region of bacterial 16S rRNA genes was used for metagenomic analysis of the rumen microbiome. The experimental cows exhibited fewer OTUs at a distance level of 0.03 compared to control cows (P<0.05) and reduced microbial richness compared to control cows based on the calculated Inverse Simpson and Shannon indices. Non-metric multidimensional scaling analysis showed that the major contributor to separation between the experimental and control groups were changes in the representation of bacteria belonging to the phyla Bacteroidetes, Proteobacteria, Firmicutes, and Planctomycetes. Surprisingly, a statistically significant positive correlation was found only between isoflavones and the phyla Burkholderiales (r = 0.65, P<0.05) and unclassified Betaproteobacteria (r = 0.58, P<0.05). Previous mouse and human studies of isoflavone effects on the composition of gastrointestinal microbial populations generally report similar findings.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc17024032
003      
CZ-PrNML
005      
20170720122411.0
007      
ta
008      
170720s2016 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1371/journal.pone.0154642 $2 doi
035    __
$a (PubMed)27124615
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Kasparovska, Jitka $u Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
245    10
$a Effects of Isoflavone-Enriched Feed on the Rumen Microbiota in Dairy Cows / $c J. Kasparovska, M. Pecinkova, K. Dadakova, L. Krizova, S. Hadrova, M. Lexa, J. Lochman, T. Kasparovsky,
520    9_
$a In this study, we compared the effects of two diets containing different isoflavone concentrations on the isoflavone transfer from feed into milk and on the rumen microbiota in lactating dairy cows. The on-farm experiment was conducted on twelve lactating Czech Fleckvieh x Holstein cows divided into two groups, each with similar mean milk yield. Twice daily, cows were individually fed a diet based on maize silage, meadow hay and supplemental mixture. Control group (CTRL) received the basal diet while the experimental group (EXP) received the basal diet supplemented with 40% soybean isoflavone extract. The average daily isoflavone intake in the EXP group (16 g/day) was twice as high as that in the CTRL group (8.4 g/day, P<0.001). Total isoflavone concentrations in milk from the CTRL and EXP groups were 96.89 and 276.07 μg/L, respectively (P<0.001). Equol concentrations in milk increased from 77.78 μg/L in the CTRL group to 186.30 μg/L in the EXP group (P<0.001). The V3-4 region of bacterial 16S rRNA genes was used for metagenomic analysis of the rumen microbiome. The experimental cows exhibited fewer OTUs at a distance level of 0.03 compared to control cows (P<0.05) and reduced microbial richness compared to control cows based on the calculated Inverse Simpson and Shannon indices. Non-metric multidimensional scaling analysis showed that the major contributor to separation between the experimental and control groups were changes in the representation of bacteria belonging to the phyla Bacteroidetes, Proteobacteria, Firmicutes, and Planctomycetes. Surprisingly, a statistically significant positive correlation was found only between isoflavones and the phyla Burkholderiales (r = 0.65, P<0.05) and unclassified Betaproteobacteria (r = 0.58, P<0.05). Previous mouse and human studies of isoflavone effects on the composition of gastrointestinal microbial populations generally report similar findings.
650    _2
$a krmivo pro zvířata $x analýza $7 D000821
650    _2
$a fyziologie výživy zvířat $x účinky léků $7 D000824
650    _2
$a zvířata $7 D000818
650    _2
$a Bacteria $x klasifikace $x genetika $x izolace a purifikace $7 D001419
650    _2
$a Bacteroidetes $x genetika $x izolace a purifikace $7 D041963
650    _2
$a Betaproteobacteria $x genetika $x izolace a purifikace $7 D020562
650    _2
$a Burkholderiaceae $x genetika $x izolace a purifikace $7 D042521
650    _2
$a skot $7 D002417
650    _2
$a dieta $x veterinární $7 D004032
650    12
$a potravní doplňky $7 D019587
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a Firmicutes $x genetika $x izolace a purifikace $7 D000068536
650    _2
$a isoflavony $x farmakologie $7 D007529
650    _2
$a laktace $7 D007774
650    _2
$a mikrobiota $7 D064307
650    _2
$a mléko $x chemie $7 D008892
650    _2
$a Planctomycetales $x genetika $x izolace a purifikace $7 D061328
650    _2
$a rostlinné extrakty $7 D010936
650    _2
$a lipnicovité $7 D006109
650    _2
$a RNA ribozomální 16S $x genetika $7 D012336
650    _2
$a bachor $x mikrobiologie $7 D012417
650    _2
$a siláž $7 D012820
650    _2
$a Glycine max $x metabolismus $7 D013025
650    _2
$a kukuřice setá $7 D003313
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Pecinkova, Martina $u Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
700    1_
$a Dadakova, Katerina $u Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
700    1_
$a Krizova, Ludmila $u Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
700    1_
$a Hadrova, Sylvie $u Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
700    1_
$a Lexa, Matej $u Department of Information Technologies, Faculty of Informatics, Masaryk University, Brno, Czech Republic.
700    1_
$a Lochman, Jan $u Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
700    1_
$a Kasparovsky, Tomas $u Department of Biochemistry, Faculty of Science, Masaryk University, Brno, Czech Republic.
773    0_
$w MED00180950 $t PloS one $x 1932-6203 $g Roč. 11, č. 4 (2016), s. e0154642
856    41
$u https://pubmed.ncbi.nlm.nih.gov/27124615 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20170720 $b ABA008
991    __
$a 20170720122904 $b ABA008
999    __
$a ok $b bmc $g 1239713 $s 984945
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2016 $b 11 $c 4 $d e0154642 $e 20160428 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
LZP    __
$a Pubmed-20170720

Najít záznam

Citační ukazatele

Možnosti archivace