Close
Help




JOURNAL

Bioinformatics and Biology Insights

High-throughput Methods Redefine the Rumen Microbiome and Its Relationship with Nutrition and Metabolism

Submit a Paper


Bioinformatics and Biology Insights 2014:8 109-125

Review

Published on 08 Jun 2014

DOI: 10.4137/BBI.S15389


Further metadata provided in PDF



Sign up for email alerts to receive notifications of new articles published in Bioinformatics and Biology Insights

Abstract

Diversity in the forestomach microbiome is one of the key features of ruminant animals. The diverse microbial community adapts to a wide array of dietary feedstuffs and management strategies. Understanding rumen microbiome composition, adaptation, and function has global implications ranging from climatology to applied animal production. Classical knowledge of rumen microbiology was based on anaerobic, culture-dependent methods. Next-generation sequencing and other molecular techniques have uncovered novel features of the rumen microbiome. For instance, pyrosequencing of the 16S ribosomal RNA gene has revealed the taxonomic identity of bacteria and archaea to the genus level, and when complemented with barcoding adds multiple samples to a single run. Whole genome shotgun sequencing generates true metagenomic sequences to predict the functional capability of a microbiome, and can also be used to construct genomes of isolated organisms. Integration of high-throughput data describing the rumen microbiome with classic fermentation and animal performance parameters has produced meaningful advances and opened additional areas for study. In this review, we highlight recent studies of the rumen microbiome in the context of cattle production focusing on nutrition, rumen development, animal efficiency, and microbial function.



Downloads

PDF  (1.81 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML

PMC HTML


Sharing


What Your Colleagues Say About Bioinformatics and Biology Insights
Bioinformatics and Biology Insights fills a gap in current journals.  Ever more often, bioinformatics and detailed analysis of data creates novel, unexpected insights.  It is good to have a journal which focusses on exactly this aspect of bioinformatics research, putting the biology insights upfront with high respect for the different methods in bioinformatics.
Dr Thomas Dandekar (University of Wurzburg, European Molecular Biology Laboratory, Heidelberg, Germany)
More Testimonials

Quick Links


New article and journal news notification services
Email Alerts RSS Feeds
Facebook Google+ Twitter
Pinterest Tumblr YouTube