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
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作者:
Mills, DeEtta K.
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机构:Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA
Mills, DeEtta K.
Entry, James A.
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机构:Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA
Entry, James A.
Voss, Joshua D.
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机构:Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA
Voss, Joshua D.
Gillevet, Patrick M.
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机构:Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA
Gillevet, Patrick M.
Mathee, Kalai
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机构:Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA
Mathee, Kalai
机构:
[1] Florida Int Univ, Dept Biol Sci, Miami, FL 33199 USA
[2] Florida Int Univ, Int Forens Res Inst, Miami, FL 33199 USA
[3] USDA ARS, NW Irrigat & Soils Res Lab, Kimberly, ID USA
[4] George Mason Univ, Dept Environm Sci & Policy, Manassas, VA USA
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.