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J Microbiol Methods. 2014 Dec;107:30-7. doi: 10.1016/j.mimet.2014.08.018. Epub 2014 Sep 3.

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

Author information

1
Microbiology Department, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil; AgroEcology Department, Rothamsted Research, Harpenden, Herts AL52JQ, United Kingdom. Electronic address: victor.pylro@gmail.com.
2
Universidade Federal do Pampa, São Gabriel RS, 97300-000, Brazil. Electronic address: luizroesch@unipampa.edu.br.
3
Microbiology Department, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil; AgroEcology Department, Rothamsted Research, Harpenden, Herts AL52JQ, United Kingdom.
4
AgroEcology Department, Rothamsted Research, Harpenden, Herts AL52JQ, United Kingdom.
5
Microbiology Department, Universidade Federal de Viçosa, Viçosa, MG 36570-900, Brazil.

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.

KEYWORDS:

Alpha diversity; Amplicons; Beta diversity; Microbial community analysis; Next generation sequencing

PMID:
25193439
DOI:
10.1016/j.mimet.2014.08.018
[Indexed for MEDLINE]
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