Advances in the use of terminal restriction fragment length polymorphism (T-RFLP) analysis of 16S rRNA genes to characterize microbial communities

被引:273
作者
Schutte, Ursel M. E. [1 ,5 ]
Abdo, Zaid [2 ,3 ,5 ]
Bent, Stephen J. [1 ,5 ]
Shyu, Conrad [4 ]
Williams, Christopher J. [3 ,5 ]
Pierson, Jacob D. [1 ,5 ]
Forney, Larry J. [1 ,5 ]
机构
[1] Univ Idaho, Dept Biol Sci, Moscow, ID 83844 USA
[2] Univ Idaho, Dept Math, Moscow, ID 83844 USA
[3] Univ Idaho, Dept Stat, Moscow, ID 83844 USA
[4] Univ Idaho, Dept Phys, Moscow, ID 83844 USA
[5] Univ Idaho, Initiat Bioinformat & Evolutionary Studies, Moscow, ID 83844 USA
关键词
T-RFLP; microbial communities; 16S rRNA genes; multivariate statistics;
D O I
10.1007/s00253-008-1565-4
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Terminal restriction fragment length polymorphism (T-RFLP) analysis is a popular high-throughput fingerprinting technique used to monitor changes in the structure and composition of microbial communities. This approach is widely used because it offers a compromise between the information gained and labor intensity. In this review, we discuss the progress made in T-RFLP analysis of 16S rRNA genes and functional genes over the last 10 years and evaluate the performance of this technique when used in conjunction with different statistical methods. Web-based tools designed to perform virtual polymerase chain reaction and restriction enzyme digests greatly facilitate the choice of primers and restriction enzymes for T-RFLP analysis. Significant improvements have also been made in the statistical analysis of T-RFLP profiles such as the introduction of objective procedures to distinguish between signal and noise, the alignment of T-RFLP peaks between profiles, and the use of multivariate statistical methods to detect changes in the structure and composition of microbial communities due to spatial and temporal variation or treatment effects. The progress made in T-RFLP analysis of 16S rRNA and genes allows researchers to make methodological and statistical choices appropriate for the hypotheses of their studies.
引用
收藏
页码:365 / 380
页数:16
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