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PMID: 16907762 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S.

An assessment of the hypervariable domains of the 16S rRNA genes for their value in determining microbial community diversity: the paradox of traditional ecological indices.

FEMS microbiology ecology ·Vol. 57 ·No. 3 ·2006-09-00 ·Pages 496-503

Mills DK, Entry JA, Voss JD, Gillevet PM, Mathee K

Abstract

Amplicon length heterogeneity PCR (LH-PCR) was investigated for its ability to distinguish between microbial community patterns from the same soil type under different land management practices. Natural sagebrush and irrigated mouldboard-ploughed soils from Idaho were queried as to which hypervariable domains, or combinations of 16S rRNA gene domains, were the best molecular markers. Using standard ecological indices to measure richness, diversity and evenness, the combination of three domains, V1, V3 and V1+V2, or the combined V1 and V3 domains were the markers that could best distinguish the undisturbed natural sagebrush communities from the mouldboard-ploughed microbial communities. Bray-Curtis similarity and multidimensional scaling were found to be better metrics to ordinate and cluster the LH-PCR community profiling data. The use/misuse of traditional ecological indices such as diversity and evenness to study microbial community profiles will remain a major point to consider when performing metagenomic studies.

MeSH Terms
Biodiversity Complementarity Determining Regions/genetics Ecology/methods RNA, Ribosomal, 16S/genetics Soil Microbiology
Chemicals
Complementarity Determining Regions RNA, Ribosomal, 16S
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Mills DeEtta K
Department of Biological Sciences, Florida International University, Miami, FL 33199, USA. millsd@fiu.edu
Entry James A
Voss Joshua D
Gillevet Patrick M
Mathee Kalai
Article Info
Journal
FEMS microbiology ecology
Abbr.
FEMS Microbiol Ecol
ISSN
0168-6496
Published
2006-09-00
Pages
496-503
Language
English
Region
England
NLM ID
8901229
Subset
IM
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