Literature DB >> 15539930

16S rDNA library-based analysis of ruminal bacterial diversity.

Joan E Edwards1, Neil R McEwan, Anthony J Travis, R John Wallace.   

Abstract

Bacterial 16S rDNA sequence data, incorporating sequences > 1 kb, were retrieved from published rumen library studies and public databases, then were combined and analysed to assess the diversity of the rumen microbial ecosystem as indicated by the pooled data. Low G+C Gram positive bacteria (54%) and the Cytophaga-Flexibacter-Bacteroides (40%) phyla were most abundantly represented. The diversity inferred by combining the datasets was much wider than inferred by individual studies, most likely due to different diets enriching for bacteria with different fermentative activities. A total of 341 operational taxonomic units (OTU) was predicted by the Chao1 non-parametric estimator approach. Phylogenetic and database analysis demonstrated that 89% of the diversity had greatest similarity to organisms which had not been cultivated, and that several sequences are likely to represent novel taxonomic groupings. Furthermore, of the 11% of the diversity represented by cultured isolates (> 95% 16S rDNA identity), not all of the bacteria were of ruminal origin. This study therefore reinforces the need to reconcile classical culture-based rumen microbiology with molecular ecological studies to determine the metabolic role of uncultivated species.

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Year:  2004        PMID: 15539930     DOI: 10.1023/B:ANTO.0000047942.69033.24

Source DB:  PubMed          Journal:  Antonie Van Leeuwenhoek        ISSN: 0003-6072            Impact factor:   2.271


  70 in total

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4.  Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases.

Authors:  Jennifer M Brulc; Dionysios A Antonopoulos; Margret E Berg Miller; Melissa K Wilson; Anthony C Yannarell; Elizabeth A Dinsdale; Robert E Edwards; Edward D Frank; Joanne B Emerson; Pirjo Wacklin; Pedro M Coutinho; Bernard Henrissat; Karen E Nelson; Bryan A White
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-30       Impact factor: 11.205

5.  An efficient RNA extraction method for estimating gut microbial diversity by polymerase chain reaction.

Authors:  Seungha Kang; Stuart E Denman; Mark Morrison; Zhongtang Yu; Chris S McSweeney
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6.  Diet alters both the structure and taxonomy of the ovine gut microbial ecosystem.

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Review 7.  Microbial fuel cells and microbial ecology: applications in ruminant health and production research.

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Journal:  Microb Ecol       Date:  2009-12-22       Impact factor: 4.552

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10.  Bacterial diversity and reductive dehalogenase redundancy in a 1,2-dichloroethane-degrading bacterial consortium enriched from a contaminated aquifer.

Authors:  Massimo Marzorati; Annalisa Balloi; Francesca de Ferra; Lorenzo Corallo; Giovanna Carpani; Lieven Wittebolle; Willy Verstraete; Daniele Daffonchio
Journal:  Microb Cell Fact       Date:  2010-02-19       Impact factor: 5.328

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