Literature DB >> 18648804

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

Ursel M E Schütte1, Zaid Abdo, Stephen J Bent, Conrad Shyu, Christopher J Williams, Jacob D Pierson, Larry J Forney.   

Abstract

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.

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Year:  2008        PMID: 18648804     DOI: 10.1007/s00253-008-1565-4

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  82 in total

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Journal:  J R Soc Interface       Date:  2011-12-07       Impact factor: 4.118

2.  Field-scale transplantation experiment to investigate structures of soil bacterial communities at pioneering sites.

Authors:  Anna Lazzaro; Andreas Gauer; Josef Zeyer
Journal:  Appl Environ Microbiol       Date:  2011-09-30       Impact factor: 4.792

Review 3.  Microbiome of the paranasal sinuses: Update and literature review.

Authors:  Jivianne T Lee; Daniel N Frank; Vijay Ramakrishnan
Journal:  Am J Rhinol Allergy       Date:  2016 Jan-Feb       Impact factor: 2.467

Review 4.  Understanding the role of the microbiome in chronic obstructive pulmonary disease: principles, challenges, and future directions.

Authors:  Yvonne J Huang; John R Erb-Downward; Robert P Dickson; Jeffrey L Curtis; Gary B Huffnagle; MeiLan K Han
Journal:  Transl Res       Date:  2016-06-23       Impact factor: 7.012

Review 5.  The Role of the Gut Microbiome in Predicting Response to Diet and the Development of Precision Nutrition Models-Part I: Overview of Current Methods.

Authors:  Riley L Hughes; Maria L Marco; James P Hughes; Nancy L Keim; Mary E Kable
Journal:  Adv Nutr       Date:  2019-11-01       Impact factor: 8.701

6.  Quantitative community fingerprinting methods for estimating the abundance of operational taxonomic units in natural microbial communities.

Authors:  Alban Ramette
Journal:  Appl Environ Microbiol       Date:  2009-02-06       Impact factor: 4.792

7.  Multicenter analysis of fecal microbiota profiles in Japanese patients with Crohn's disease.

Authors:  Akira Andoh; Hiroyuki Kuzuoka; Tomoyuki Tsujikawa; Shiro Nakamura; Fumihito Hirai; Yasuo Suzuki; Toshiyuki Matsui; Yoshihide Fujiyama; Takayuki Matsumoto
Journal:  J Gastroenterol       Date:  2012-05-11       Impact factor: 7.527

8.  Monthly to interannual variability of microbial eukaryote assemblages at four depths in the eastern North Pacific.

Authors:  Diane Y Kim; Peter D Countway; Adriane C Jones; Astrid Schnetzer; Warren Yamashita; Christine Tung; David A Caron
Journal:  ISME J       Date:  2013-10-31       Impact factor: 10.302

9.  Biases for detecting arbuscular mycorrhizal fungal mixture by terminal restriction fragment length polymorphism (T-RFLP).

Authors:  N Watanarojanaporn; A Longtonglang; N Boonkerd; P Tittabutr; J Lee; N Teaumroong
Journal:  World J Microbiol Biotechnol       Date:  2013-07-10       Impact factor: 3.312

10.  Statistical assessment of variability of terminal restriction fragment length polymorphism analysis applied to complex microbial communities.

Authors:  Pierre Rossi; François Gillet; Emmanuelle Rohrbach; Nouhou Diaby; Christof Holliger
Journal:  Appl Environ Microbiol       Date:  2009-09-11       Impact factor: 4.792

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