PSII-4 Changes in abundance of ruminal bacteria associated with urea level and tannin supplementation in grazing beef cattle Article Swipe
Iorrano A Cidrini
,
Yury Tatiana Granja-Salcedo
,
Kênia Larissa Gomes Carvalho Alves
,
Laura Franco Prados
,
Gustavo Rezende Siqueira
,
Flávio Dutra de Resende
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1093/jas/skaa278.712
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1093/jas/skaa278.712
The study was carried out to evaluate the effect of tannins extract (TN) associated to two levels of urea in the supplement of grazing beef cattle on ruminal bacterial abundance. Were used eight rumen cannulated Nellore steers (293 kg ± 5.6 BW) in a double Latin square 4 x 4 (four periods of 28 each and four supplements: LU = low urea without TN; LUT = low urea plus TN; HU = high urea without TN and HUT = high urea plus TN). Steers grazing Urochloa brizantha cv. Marandu and were supplemented at 3 g/kg BW cwith soybean meal, corn, mineral mix and two levels of urea (3% or 5%) associated or not to TN (SilvaFeed-ByPro at 0.7 g / kg). Samples of ruminal content were collected after supplementation (+ 3h), V3/V4 regions of 16SrRNA gene was sequencing using the Illumina MiSeq. Quantitative Insights into Microbial Ecology (QIIME v.1.9.1) were used to filter reads and determine Operational Taxonomic Units (OTUs). DESeq2 differential abundance analysis were performed using each steer on LU supplement as own control on others supplements and evaluated by Kruskal-Wallis rank sum test considering statistical significance at P < 0.10. Only 5 OTUs differed significantly between treatments. Enterorhabdus.spp population were less abundant in HU, but TN was able to reduce the abundance in both LUT and HUT(P = 0.049). The ruminal abundance of Streptococcus.spp (P = 0.026), Fusobacterium.spp (P = 0.053) and Synergistes.spp (P = 0.048) was reduced by TN, but had no effect of urea level. Enterorhabdus.spp, Streptococcus.spp and Fusobacterium.spp are associated with inflammatory bowel diseases, ruminal acidosis and to liver abscesses in cattle, respectively. Betaproteobacteria class were less abundant in HU treatment (P = 0.048), this heterogeneous class bacterial content some nitrogen fixing bacteria and some pathogens important in plants and animals. In conclusion, TN reduced the ruminal population of important ruminal pathogens bacterial.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/jas/skaa278.712
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3109300843
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3109300843Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/jas/skaa278.712Digital Object Identifier
- Title
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PSII-4 Changes in abundance of ruminal bacteria associated with urea level and tannin supplementation in grazing beef cattleWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-11-03Full publication date if available
- Authors
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Iorrano A Cidrini, Yury Tatiana Granja-Salcedo, Kênia Larissa Gomes Carvalho Alves, Laura Franco Prados, Gustavo Rezende Siqueira, Flávio Dutra de ResendeList of authors in order
- Landing page
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https://doi.org/10.1093/jas/skaa278.712Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/7702966Direct OA link when available
- Concepts
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Rumen, Latin square, Urea, Beef cattle, Animal science, Grazing, Biology, Population, Dry matter, Abundance (ecology), Agronomy, Chemistry, Food science, Fermentation, Biochemistry, Ecology, Sociology, DemographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.to | 6, 15, 114, 152, 211, 263 |
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| abstract_inverted_index.(3% | 108 |
| abstract_inverted_index.0.7 | 118 |
| abstract_inverted_index.5%) | 110 |
| abstract_inverted_index.5.6 | 41 |
| abstract_inverted_index.BW) | 42 |
| abstract_inverted_index.HU, | 206 |
| abstract_inverted_index.HUT | 78 |
| abstract_inverted_index.LUT | 65, 217 |
| abstract_inverted_index.TN, | 242 |
| abstract_inverted_index.TN; | 64, 70 |
| abstract_inverted_index.The | 1, 222 |
| abstract_inverted_index.and | 56, 77, 90, 103, 155, 179, 218, 234, 252, 262, 289, 295 |
| abstract_inverted_index.are | 254 |
| abstract_inverted_index.but | 207, 243 |
| abstract_inverted_index.cv. | 88 |
| abstract_inverted_index.had | 244 |
| abstract_inverted_index.low | 61, 67 |
| abstract_inverted_index.mix | 102 |
| abstract_inverted_index.not | 113 |
| abstract_inverted_index.out | 5 |
| abstract_inverted_index.own | 174 |
| abstract_inverted_index.sum | 184 |
| abstract_inverted_index.the | 8, 21, 140, 213, 301 |
| abstract_inverted_index.two | 16, 104 |
| abstract_inverted_index.was | 3, 137, 209, 239 |
| abstract_inverted_index.(293 | 38 |
| abstract_inverted_index.(TN) | 13 |
| abstract_inverted_index.3h), | 131 |
| abstract_inverted_index.OTUs | 195 |
| abstract_inverted_index.Only | 193 |
| abstract_inverted_index.TN). | 83 |
| abstract_inverted_index.Were | 31 |
| abstract_inverted_index.able | 210 |
| abstract_inverted_index.beef | 25 |
| abstract_inverted_index.both | 216 |
| abstract_inverted_index.each | 55, 168 |
| abstract_inverted_index.four | 57 |
| abstract_inverted_index.g/kg | 95 |
| abstract_inverted_index.gene | 136 |
| abstract_inverted_index.high | 73, 80 |
| abstract_inverted_index.into | 145 |
| abstract_inverted_index.kg). | 121 |
| abstract_inverted_index.less | 203, 272 |
| abstract_inverted_index.plus | 69, 82 |
| abstract_inverted_index.rank | 183 |
| abstract_inverted_index.some | 285, 290 |
| abstract_inverted_index.test | 185 |
| abstract_inverted_index.this | 280 |
| abstract_inverted_index.urea | 19, 62, 68, 74, 81, 107, 248 |
| abstract_inverted_index.used | 32, 151 |
| abstract_inverted_index.were | 91, 126, 150, 165, 202, 271 |
| abstract_inverted_index.with | 256 |
| abstract_inverted_index.(four | 51 |
| abstract_inverted_index.0.10. | 192 |
| abstract_inverted_index.HUT(P | 219 |
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| abstract_inverted_index.Units | 159 |
| abstract_inverted_index.V3/V4 | 132 |
| abstract_inverted_index.after | 128 |
| abstract_inverted_index.bowel | 258 |
| abstract_inverted_index.class | 270, 282 |
| abstract_inverted_index.corn, | 100 |
| abstract_inverted_index.cwith | 97 |
| abstract_inverted_index.eight | 33 |
| abstract_inverted_index.liver | 264 |
| abstract_inverted_index.meal, | 99 |
| abstract_inverted_index.reads | 154 |
| abstract_inverted_index.rumen | 34 |
| abstract_inverted_index.steer | 169 |
| abstract_inverted_index.study | 2 |
| abstract_inverted_index.using | 139, 167 |
| abstract_inverted_index.(QIIME | 148 |
| abstract_inverted_index.0.048) | 238 |
| abstract_inverted_index.0.053) | 233 |
| abstract_inverted_index.DESeq2 | 161 |
| abstract_inverted_index.MiSeq. | 142 |
| abstract_inverted_index.Steers | 84 |
| abstract_inverted_index.cattle | 26 |
| abstract_inverted_index.double | 45 |
| abstract_inverted_index.effect | 9, 246 |
| abstract_inverted_index.filter | 153 |
| abstract_inverted_index.fixing | 287 |
| abstract_inverted_index.level. | 249 |
| abstract_inverted_index.levels | 17, 105 |
| abstract_inverted_index.others | 177 |
| abstract_inverted_index.plants | 294 |
| abstract_inverted_index.reduce | 212 |
| abstract_inverted_index.square | 47 |
| abstract_inverted_index.steers | 37 |
| abstract_inverted_index.(OTUs). | 160 |
| abstract_inverted_index.0.026), | 229 |
| abstract_inverted_index.0.048), | 279 |
| abstract_inverted_index.0.049). | 221 |
| abstract_inverted_index.16SrRNA | 135 |
| abstract_inverted_index.Ecology | 147 |
| abstract_inverted_index.Marandu | 89 |
| abstract_inverted_index.Nellore | 36 |
| abstract_inverted_index.Samples | 122 |
| abstract_inverted_index.between | 198 |
| abstract_inverted_index.carried | 4 |
| abstract_inverted_index.cattle, | 267 |
| abstract_inverted_index.content | 125, 284 |
| abstract_inverted_index.control | 175 |
| abstract_inverted_index.extract | 12 |
| abstract_inverted_index.grazing | 24, 85 |
| abstract_inverted_index.mineral | 101 |
| abstract_inverted_index.periods | 52 |
| abstract_inverted_index.reduced | 240, 300 |
| abstract_inverted_index.regions | 133 |
| abstract_inverted_index.ruminal | 28, 124, 223, 260, 302, 306 |
| abstract_inverted_index.soybean | 98 |
| abstract_inverted_index.tannins | 11 |
| abstract_inverted_index.without | 63, 75 |
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| abstract_inverted_index.Abstract | 0 |
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| abstract_inverted_index.Insights | 144 |
| abstract_inverted_index.Urochloa | 86 |
| abstract_inverted_index.abundant | 204, 273 |
| abstract_inverted_index.acidosis | 261 |
| abstract_inverted_index.analysis | 164 |
| abstract_inverted_index.animals. | 296 |
| abstract_inverted_index.bacteria | 288 |
| abstract_inverted_index.differed | 196 |
| abstract_inverted_index.evaluate | 7 |
| abstract_inverted_index.nitrogen | 286 |
| abstract_inverted_index.v.1.9.1) | 149 |
| abstract_inverted_index.Microbial | 146 |
| abstract_inverted_index.Taxonomic | 158 |
| abstract_inverted_index.abscesses | 265 |
| abstract_inverted_index.abundance | 163, 214, 224 |
| abstract_inverted_index.bacterial | 29, 283 |
| abstract_inverted_index.brizantha | 87 |
| abstract_inverted_index.collected | 127 |
| abstract_inverted_index.determine | 156 |
| abstract_inverted_index.diseases, | 259 |
| abstract_inverted_index.evaluated | 180 |
| abstract_inverted_index.important | 292, 305 |
| abstract_inverted_index.pathogens | 291, 307 |
| abstract_inverted_index.performed | 166 |
| abstract_inverted_index.treatment | 276 |
| abstract_inverted_index.abundance. | 30 |
| abstract_inverted_index.associated | 14, 111, 255 |
| abstract_inverted_index.bacterial. | 308 |
| abstract_inverted_index.cannulated | 35 |
| abstract_inverted_index.population | 201, 303 |
| abstract_inverted_index.sequencing | 138 |
| abstract_inverted_index.supplement | 22, 172 |
| abstract_inverted_index.Operational | 157 |
| abstract_inverted_index.conclusion, | 298 |
| abstract_inverted_index.considering | 186 |
| abstract_inverted_index.statistical | 187 |
| abstract_inverted_index.supplements | 178 |
| abstract_inverted_index.treatments. | 199 |
| abstract_inverted_index.Quantitative | 143 |
| abstract_inverted_index.differential | 162 |
| abstract_inverted_index.inflammatory | 257 |
| abstract_inverted_index.significance | 188 |
| abstract_inverted_index.supplemented | 92 |
| abstract_inverted_index.supplements: | 58 |
| abstract_inverted_index.heterogeneous | 281 |
| abstract_inverted_index.respectively. | 268 |
| abstract_inverted_index.significantly | 197 |
| abstract_inverted_index.Kruskal-Wallis | 182 |
| abstract_inverted_index.Synergistes.spp | 235 |
| abstract_inverted_index.supplementation | 129 |
| abstract_inverted_index.(SilvaFeed-ByPro | 116 |
| abstract_inverted_index.Enterorhabdus.spp | 200 |
| abstract_inverted_index.Fusobacterium.spp | 230, 253 |
| abstract_inverted_index.Streptococcus.spp | 226, 251 |
| abstract_inverted_index.Betaproteobacteria | 269 |
| abstract_inverted_index.Enterorhabdus.spp, | 250 |
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| institutions_distinct_count | 6 |
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| citation_normalized_percentile.is_in_top_10_percent | False |