Data analysis for 16S microbial profiling from different benchtop sequencing platforms

A - Papers appearing in refereed journals

Pylro, V. S., Roesch, L. F. W., Morais, D. K., Clark, I. M., Hirsch, P. R. and Totola, M. R. 2014. Data analysis for 16S microbial profiling from different benchtop sequencing platforms. Journal of Microbiological Methods. 107 (December), pp. 30-37.

AuthorsPylro, V. S., Roesch, L. F. W., Morais, D. K., Clark, I. M., Hirsch, P. R. and Totola, M. R.
Abstract

Progress in microbial ecology is confounded by problems when evaluating results from different sequencing methodologies. Contrary to existing expectations, here we demonstrate that the same biological conclusion is reached using different NGS technologies when stringent sequence quality filtering and accurate clustering algorithms are applied.

KeywordsNext generation sequencing; Microbial community analysis; Amplicons; Alpha diversity; Beta diversity
Year of Publication2014
JournalJournal of Microbiological Methods
Journal citation107 (December), pp. 30-37
Digital Object Identifier (DOI)doi:10.1016/j.mimet.2014.08.018
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeDelivering Sustainable Systems (SS) [ISPG]
Optimisation of nutrients in soil-plant systems: How can we control nitrogen cycling in soil?
Publisher's version
Copyright license
CC BY
File Access Level
Open
Output statusPublished
Publication dates
Online03 Sep 2014
Publication process dates
Accepted27 Aug 2014
ISSN0167-7012
PublisherElsevier Science Bv

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