Polymerase chain reaction primers miss half of rRNA microbial diversity
被引:195
作者:
Hong, SunHee
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Northeastern Univ, Dept Biol, Boston, MA 02115 USA
Northeastern Univ, Ctr Marine Sci, Nahant, MA 01908 USANortheastern Univ, Dept Biol, Boston, MA 02115 USA
Hong, SunHee
[1
,4
]
Bunge, John
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Cornell Univ, Dept Stat Sci, Ithaca, NY USANortheastern Univ, Dept Biol, Boston, MA 02115 USA
Bunge, John
[2
]
Leslin, Chesley
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Northeastern Univ, Dept Biol, Boston, MA 02115 USANortheastern Univ, Dept Biol, Boston, MA 02115 USA
Leslin, Chesley
[1
]
Jeon, Sunok
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Kangwon Natl Univ, Dept Environm Sci, Kangwon Do, South KoreaNortheastern Univ, Dept Biol, Boston, MA 02115 USA
Jeon, Sunok
[3
]
Epstein, Slava S.
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Northeastern Univ, Dept Biol, Boston, MA 02115 USA
Northeastern Univ, Ctr Marine Sci, Nahant, MA 01908 USANortheastern Univ, Dept Biol, Boston, MA 02115 USA
Epstein, Slava S.
[1
,4
]
机构:
[1] Northeastern Univ, Dept Biol, Boston, MA 02115 USA
[2] Cornell Univ, Dept Stat Sci, Ithaca, NY USA
[3] Kangwon Natl Univ, Dept Environm Sci, Kangwon Do, South Korea
[4] Northeastern Univ, Ctr Marine Sci, Nahant, MA 01908 USA
The rRNA approach is the principal tool to study microbial diversity, but it has important biases. These include polymerase chain reaction (PCR) primers bias, and relative inefficiency of DNA extraction techniques. Such sources of potential undersampling of microbial diversity are well known, but the scale of the undersampling has not been quantified. Using a marine tidal flat bacterial community as a model, we show that even with unlimited sampling and sequencing effort, a single combination of PCR primers/DNA extraction technique enables theoretical recovery of only half of the richness recoverable with three such combinations. This shows that different combinations of PCR primers/DNA extraction techniques recover in principle different species, as well as higher taxa. The majority of earlier estimates of microbial richness seem to be underestimates. The combined use of multiple PCR primer sets, multiple DNA extraction techniques, and deep community sequencing will minimize the biases and recover substantially more species than prior studies, but we caution that even this-yet to be used-approach may still leave an unknown number of species and higher taxa undetected. The ISME Journal (2009) 3, 1365-1373; doi: 10.1038/ismej.2009.89; published online 20 August 2009