Effects of PCR cycle number and DNA polymerase type on the 16S rRNA gene pyrosequencing analysis of bacterial communities

The effects of PCR cycle number and DNA polymerase type on 16S rRNA gene pyrosequencing analysis were investigated using an artificially prepared bacterial community (mock community). The bacterial richness was overestimated at increased PCR cycle number mostly due to the occurence of chimeric sequences, and this was more serious with a DNA polymerase having proofreading activity than with Taq DNA polymerase. These results suggest that PCR cycle number must be kept as low as possible for accurate estimation of bacterial richness and that particular care must be taken when a DNA polymerase having proofreading activity is used.

[1]  Susan M. Huse,et al.  Ironing out the wrinkles in the rare biosphere through improved OTU clustering , 2010, Environmental microbiology.

[2]  G. Casella,et al.  Pyrosequencing enumerates and contrasts soil microbial diversity , 2007, The ISME Journal.

[3]  C. Wilson,et al.  Stimulation and suppression of PCR-mediated recombination. , 1998, Nucleic acids research.

[4]  L. Raskin,et al.  PCR Biases Distort Bacterial and Archaeal Community Structure in Pyrosequencing Datasets , 2012, PloS one.

[5]  M. Jung,et al.  Comparative Analysis of Korean Human Gut Microbiota by Barcoded Pyrosequencing , 2011, PloS one.

[6]  Rob Knight,et al.  Examining the global distribution of dominant archaeal populations in soil , 2011, The ISME Journal.

[7]  Erik S. Wright,et al.  DECIPHER, a Search-Based Approach to Chimera Identification for 16S rRNA Sequences , 2011, Applied and Environmental Microbiology.

[8]  C. Quince,et al.  Accurate determination of microbial diversity from 454 pyrosequencing data , 2009, Nature Methods.

[9]  Russell J. Davenport,et al.  Removing Noise From Pyrosequenced Amplicons , 2011, BMC Bioinformatics.

[10]  Martin Hartmann,et al.  Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities , 2009, Applied and Environmental Microbiology.

[11]  Susan M. Huse,et al.  Accuracy and quality of massively parallel DNA pyrosequencing , 2007, Genome Biology.

[12]  S. Tringe,et al.  The enduring legacy of small subunit rRNA in microbiology , 2011 .

[13]  F. J. Bruijn Handbook of molecular microbial ecology , 2011 .

[14]  V. Kunin,et al.  Wrinkles in the rare biosphere: pyrosequencing errors can lead to artificial inflation of diversity estimates. , 2009, Environmental microbiology.

[15]  William A. Walters,et al.  Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample , 2010, Proceedings of the National Academy of Sciences.

[16]  Anthony A. Fodor,et al.  Effects of Experimental Choices and Analysis Noise on Surveys of the “Rare Biosphere” , 2009, Applied and Environmental Microbiology.

[17]  P. Bork,et al.  A human gut microbial gene catalogue established by metagenomic sequencing , 2010, Nature.

[18]  Folker Meyer,et al.  Structure, fluctuation and magnitude of a natural grassland soil metagenome , 2012, The ISME Journal.

[19]  Vanja Klepac-Ceraj,et al.  PCR-Induced Sequence Artifacts and Bias: Insights from Comparison of Two 16S rRNA Clone Libraries Constructed from the Same Sample , 2005, Applied and Environmental Microbiology.

[20]  Kyudong Han,et al.  Flavobacterium dankookense sp. nov., isolated from a freshwater reservoir, and emended descriptions of Flavobacterium cheonanense, F. chungnamense, F. koreense and F. aquatile. , 2012, International journal of systematic and evolutionary microbiology.

[21]  Patrick D. Schloss,et al.  Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies , 2011, PloS one.

[22]  K. Eric Wommack,et al.  Groundtruthing Next-Gen Sequencing for Microbial Ecology–Biases and Errors in Community Structure Estimates from PCR Amplicon Pyrosequencing , 2012, PloS one.

[23]  Pyrosequencing analysis of the bacterial communities in the guts of honey bees Apis cerana and Apis mellifera in Korea , 2012, Journal of Microbiology.

[24]  G. Weiller,et al.  PCR amplification of murine immunoglobulin germline V genes: Strategies for minimization of recombination artefacts , 1998, Immunology and cell biology.

[25]  The Impact of Next‐Generation Sequencing Technologies on Metagenomics , 2011 .

[26]  Patrick D. Schloss,et al.  Assessing and Improving Methods Used in Operational Taxonomic Unit-Based Approaches for 16S rRNA Gene Sequence Analysis , 2011, Applied and Environmental Microbiology.

[27]  William G. Mckendree,et al.  ESPRIT: estimating species richness using large collections of 16S rRNA pyrosequences , 2009, Nucleic acids research.

[28]  Rob Knight,et al.  UCHIME improves sensitivity and speed of chimera detection , 2011, Bioinform..

[29]  Jizhong Zhou,et al.  Evaluation of PCR-Generated Chimeras, Mutations, and Heteroduplexes with 16S rRNA Gene-Based Cloning , 2001, Applied and Environmental Microbiology.

[30]  E. Casamayor,et al.  Ecology of the rare microbial biosphere of the Arctic Ocean , 2009, Proceedings of the National Academy of Sciences.

[31]  Rob Knight,et al.  The 'rare biosphere': a reality check , 2009, Nature Methods.