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Analysing microbial community structure by means of terminal restriction fragment length polymorphism (T-RFLP).

Christopher B. Blackwood

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Abstract

This chapter reviews the significant contributions to the field of soil ecology made using terminal restriction fragment length polymorphism (T-RFLP), and provides an example of T-RFLP data on microbial communities in soil microsites. Details of the factors to be considered when performing T-RFLP or interpreting data are given. Also discussed are the advantages and disadvantages of polymerase chain reaction-based community profiling methods in general, and T-RFLP in particular, and modifications to T-RFLP that can be used to ameliorate some of the disadvantages.

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What this paper is about

This chapter reviews the significant contributions to the field of soil ecology made using terminal restriction fragment length polymorphism (T-RFLP), and provides an example of T-RFLP data on microbial communities in soil microsites. Details of the factors to be considered when performing T-RFLP or interpreting data are given. Also discussed are the advantages and disadvantages of polymerase chain reaction-based community profiling methods in general, and T-RFLP in particular, and modifications to T-RFLP that can be used to ameliorate some of the disadvantages.

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Available abstract

This chapter reviews the significant contributions to the field of soil ecology made using terminal restriction fragment length polymorphism (T-RFLP), and provides an example of T-RFLP data on microbial communities in soil microsites. Details of the factors to be considered when performing T-RFLP or interpreting data are given. Also discussed are the advantages and disadvantages of polymerase chain reaction-based community profiling methods in general, and T-RFLP in particular, and modifications to T-RFLP that can be used to ameliorate some of the disadvantages.

Key concepts: Restriction fragment length polymorphism, Terminal restriction fragment length polymorphism, Biology, Polymorphism (computer science), Genetics, Fragment (logic), Computational biology, Polymerase chain reaction

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