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KMID : 0578320120340040383
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Molecules and Cells
2012 Volume.34 No. 4 p.383 ~ p.391
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Development of Single-Nucleotide Polymorphism-Based Phylum-Specific PCR Amplification Technique: Application to the Community Analysis Using Ciliates as a Reference Organism
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Jung Jae-Ho
Kim Sang-Hee
Ryu Seong-Ho
Kim Min-Seok
Baek Ye-Seul
Kim Se-Joo
Choi Joong-Ki
Park Joong-Ki
Min Gi-Sik
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Abstract
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Despite recent advance in mass sequencing technolo-gies such as pyrosequencing, assessment of culture-indepen-dent microbial eukaryote community structures using universal primers remains very difficult due to the tremendous richness and complexity of organisms in these communities. Use of a specific PCR marker target-ing a particular group would provide enhanced sensitiv-ity and more in-depth evaluation of microbial eukaryote communities compared to what can be achieved with universal primers. We discovered that many phylum- or group-specific single-nucleotide polymorphisms (SNPs) exist in small subunit ribosomal RNA (SSU rRNA) genes from diverse eukaryote groups. By applying this discovery to a known simple allele-discriminating (SAP) PCR method, we developed a technique that enables the identification of organisms belonging to a specific higher taxonomic group (or phylum) among diverse types of eukaryotes. We performed an assay using two complementary methods, pyrosequencing and clone library screening. In doing this, specificities for the group (ciliates) targeted in this study in bulked environmental samples were 94.6% for the clone library and 99.2% for pyrosequencing, respectively. In particular, our novel technique showed high selectivity for rare species, a feature that may be more important than the ability to identify quantitatively predominant species in community structure analyses. Additionally, our data revealed that a target-specific library (or ciliate-specific one for the present study) can better explain the ecological features of a sampling locality than a universal library.
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KEYWORD
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ciliate, community analysis, phylum-specific PCR, pyrosequencing, SNP, SSU rRNA
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