View Full Document

Ordination and significance testing of microbial community composition



View the full content.
View Full Document
View Full Document

3 views

Unformatted text preview:

Antonie van Leeuwenhoek 86 339 347 2004 2004 Kluwer Academic Publishers Printed in the Netherlands 339 Ordination and significance testing of microbial community composition derived from terminal restriction fragment length polymorphisms application of multivariate statistics Gavin N Rees1 Darren S Baldwin1 Garth O Watson1 Shane Perryman1 2 and Daryl L Nielsen1 1Murray Darling Freshwater Research Centre and Cooperative Research Centre for Freshwater Ecology PO Box 921 Albury NSW 2640 Australia 2Water Studies Centre School of Chemistry Monash University Clayton Victoria 3800 Australia Author for correspondence e mail gavin rees csiro au phone 61 2 6058 2356 fax 61 2 6043 1626 Received 13 Februari 2004 Accepted in revised form 2 June 2004 Key words Microbial community analysis Multivariate statistics T RFLP Abstract Terminal restriction fragment length polymorphism T RFLP is increasingly being used to examine microbial community structure and accordingly a range of approaches have been used to analyze data sets A number of published reports have included data and results that were statistically flawed or lacked rigorous statistical testing A range of simple yet powerful techniques are available to examine community data however their use is seldom if ever discussed in microbial literature We describe an approach that overcomes some of the problems associated with analyzing community datasets and offer an approach that makes data interpretation simple and effective The Bray Curtis coefficient is suggested as an ideal coefficient to be used for the construction of similarity matrices Its strengths include its ability to deal with data sets containing multiple blocks of zeros in a meaningful manner Non metric multi dimensional scaling is described as a powerful yet easily interpreted method to examine community patterns based on T RFLP data Importantly we describe the use of significance testing of data sets to allow quantitative assessment of similarity removing



Access the best Study Guides, Lecture Notes and Practice Exams

Loading Unlocking...
Login

Join to view Ordination and significance testing of microbial community composition and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view Ordination and significance testing of microbial community composition and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?