Literature DB >> 16467991

Real-time PCR detection of the effects of protozoa on rumen bacteria in cattle.

Yuhei Ozutsumi1, Kiyoshi Tajima, Akio Takenaka, Hisao Itabashi.   

Abstract

A real-time PCR approach was used in this study to clarify the populations of major bacterial species in the rumens of faunated and unfaunated cattle. The sensitivity of this novel real-time PCR assay was evaluated by using 10(1) to 10(8) plasmid copies of target bacteria. The numbers of plasmid copies of Ruminococcus albus, Ruminococcus flavefaciens, Prevotella ruminicola, and the CUR-E cluster were higher in the unfaunated than in the faunated rumens. The CUR-E cluster belongs to the Clostridium group. In contrast, Fibrobacter succinogenes was higher in the faunated than in the unfaunated rumens. Although it is well known that an absence of protozoa brings about an increase in the bacterial population, it was clarified here that an absence of protozoa exerted differential effects on the populations of cellulolytic bacteria in cattle rumens (i.e., F. succinogenes, R. albus, and R. flavefaciens). In addition, real-time PCR analysis suggested that the CUR-E cluster was more prevalent in the unfaunated rumens.

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Year:  2006        PMID: 16467991     DOI: 10.1007/s00284-005-0266-9

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  8 in total

1.  The effect of protozoa on the composition of rumen bacteria in cattle using 16S rRNA gene clone libraries.

Authors:  Yuhei Ozutsumi; Kiyoshi Tajima; Akio Takenaka; Hisao Itabashi
Journal:  Biosci Biotechnol Biochem       Date:  2005-03       Impact factor: 2.043

2.  Development and use of competitive PCR assays for the rumen cellulolytic bacteria: Fibrobacter succinogenes, Ruminococcus albus and Ruminococcus flavefaciens.

Authors:  S Koike; Y Kobayashi
Journal:  FEMS Microbiol Lett       Date:  2001-11-13       Impact factor: 2.742

3.  Diet-dependent shifts in the bacterial population of the rumen revealed with real-time PCR.

Authors:  K Tajima; R I Aminov; T Nagamine; H Matsui; M Nakamura; Y Benno
Journal:  Appl Environ Microbiol       Date:  2001-06       Impact factor: 4.792

4.  Medium without rumen fluid for nonselective enumeration and isolation of rumen bacteria.

Authors:  D R Caldwell; M P Bryant
Journal:  Appl Microbiol       Date:  1966-09

5.  Enumeration of Megasphaera elsdenii in rumen contents by real-time Taq nuclease assay.

Authors:  D Ouwerkerk; A V Klieve; R J Forster
Journal:  J Appl Microbiol       Date:  2002       Impact factor: 3.772

Review 6.  Starch hydrolysis by the ruminal microflora.

Authors:  S F Kotarski; R D Waniska; K K Thurn
Journal:  J Nutr       Date:  1992-01       Impact factor: 4.798

7.  Amylolytic activity of selected species of ruminal bacteria.

Authors:  M A Cotta
Journal:  Appl Environ Microbiol       Date:  1988-03       Impact factor: 4.792

8.  Molecular cloning, expression, and characterization of an endo-beta-1,4-glucanase cDNA from Epidinium caudatum1.

Authors:  Akio Takenak; Colin G. D'Silva; Hiroshi Kudo; Hisao Itabashi; Kuo-Joan Cheng
Journal:  J Gen Appl Microbiol       Date:  1999-04       Impact factor: 1.452

  8 in total
  13 in total

1.  Real-time PCR assays for monitoring anaerobic fungal biomass and population size in the rumen.

Authors:  Khin Ohnmar Lwin; Mika Hayakawa; Tomomi Ban-Tokuda; Hiroki Matsui
Journal:  Curr Microbiol       Date:  2010-12-14       Impact factor: 2.188

Review 2.  The Fibrobacteres: an important phylum of cellulose-degrading bacteria.

Authors:  Emma Ransom-Jones; David L Jones; Alan J McCarthy; James E McDonald
Journal:  Microb Ecol       Date:  2012-01-03       Impact factor: 4.552

3.  Rumen microbiome composition determined using two nutritional models of subacute ruminal acidosis.

Authors:  Ehsan Khafipour; Shucong Li; Jan C Plaizier; Denis O Krause
Journal:  Appl Environ Microbiol       Date:  2009-09-25       Impact factor: 4.792

4.  Effect of feeding palm oil by-products based diets on total bacteria, cellulolytic bacteria and methanogenic archaea in the rumen of goats.

Authors:  Abdelrahim Abubakr; Abdul Razak Alimon; Halimatun Yaakub; Norhani Abdullah; Michael Ivan
Journal:  PLoS One       Date:  2014-04-22       Impact factor: 3.240

5.  Study of rumen metagenome community using qPCR under different diets.

Authors:  K M Singh; P R Pandya; A K Tripathi; G R Patel; S Parnerkar; R K Kothari; C G Joshi
Journal:  Meta Gene       Date:  2014-02-19

6.  Metagenomic analysis of rumen microbial population in dairy heifers fed a high grain diet supplemented with dicarboxylic acids or polyphenols.

Authors:  Roberta De Nardi; Giorgio Marchesini; Shucong Li; Ehsan Khafipour; Kees J C Plaizier; Matteo Gianesella; Rebecca Ricci; Igino Andrighetto; Severino Segato
Journal:  BMC Vet Res       Date:  2016-02-19       Impact factor: 2.741

7.  Impact of docusate and fauna-free on feed intake, ruminal flora and digestive enzyme activities of sheep.

Authors:  Chucai Yu; Qiujiang Luo; Yong Chen; Shimin Liu; Changjiang Zang
Journal:  J Anim Physiol Anim Nutr (Berl)       Date:  2020-05-07       Impact factor: 2.130

8.  Effects of Nutritional Deprivation and Re-Alimentation on the Feed Efficiency, Blood Biochemistry, and Rumen Microflora in Yaks (Bos grunniens).

Authors:  Huawei Zou; Rui Hu; Zhisheng Wang; Ali Mujtaba Shah; Shaoyu Zeng; Quanhui Peng; Bai Xue; Lizhi Wang; Xiangfei Zhang; Xueying Wang; Junhua Shi; Fengpeng Li; Lei Zeng
Journal:  Animals (Basel)       Date:  2019-10-15       Impact factor: 2.752

9.  Rumen microbial community composition varies with diet and host, but a core microbiome is found across a wide geographical range.

Authors:  Gemma Henderson; Faith Cox; Siva Ganesh; Arjan Jonker; Wayne Young; Peter H Janssen
Journal:  Sci Rep       Date:  2015-10-09       Impact factor: 4.379

10.  Do Ruminal Ciliates Select Their Preys and Prokaryotic Symbionts?

Authors:  Tansol Park; Zhongtang Yu
Journal:  Front Microbiol       Date:  2018-07-31       Impact factor: 5.640

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