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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Soil Science Society...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Soil Science Society of America Journal
Article . 2007 . Peer-reviewed
License: Wiley Online Library User Agreement
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Soil Microbial Community Analysis using Terminal Restriction Fragment Length Polymorphisms

Authors: Janice E. Thies;

Soil Microbial Community Analysis using Terminal Restriction Fragment Length Polymorphisms

Abstract

Terminal restriction fragment length polymorphism (T‐RFLP) analysis is a polymerase chain reaction (PCR)‐fingerprinting method that is commonly used for comparative microbial community analysis. The method can be used to analyze communities of bacteria, archaea, fungi, other phylogenetic groups or subgroups, as well as functional genes. The method is rapid, highly reproducible, and often yields a higher number of operational taxonomic units than other, commonly used PCR‐fingerprinting methods. Sizing of terminal restriction fragments (T‐RFs) can now be done using capillary sequencing technology allowing samples contained in 96‐ or 384‐well plates to be sized in an overnight run. Many multivariate statistical approaches have been used to interpret and compare T‐RFLP fingerprints derived from different communities. Detrended correspondence analysis and the additive main effects with multiplicative interaction model are particularly useful for revealing trends in T‐RFLP data. Due to biases inherent in the method, linking the size of T‐RFs derived from complex communities to existing sequence databases to infer their taxonomic position is not very robust. This approach has been used successfully, however, to identify and follow the dynamics of members within very simple or model communities. The T‐RFLP approach has been used successfully to analyze the composition of microbial communities in soil, water, marine, and lacustrine sediments, biofilms, feces, in and on plant tissues, and in the digestive tracts of insects and mammals. The T‐RFLP method is a user‐friendly molecular approach to microbial community analysis that is adding significant information to studies of microbial populations in many environments.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
126
Top 10%
Top 10%
Top 10%
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