Deloitte Diversity Metrics

In recent years, PCR-based pyrosequencing of 16S rRNA genes has continuously increased our understanding of complex microbial communities in various environments of the Earth. However, there is always concern on the potential biases of diversity determination using different 16S rRNA gene primer sets and covered regions. Here, we first report how bacterial 16S rRNA gene pyrotags derived from a series of different primer sets resulted in the biased diversity metrics. In total, 14 types of pyrotags were obtained from two-end pyrosequencing of 7 amplicon pools generated by 7 primer sets paired by 1 of 4 forward primers (V1F, V3F, V5F, and V7F) and 1 of 4 reverse primers (V2R, V4R, V6R, and V9R), respectively. Introduction Bacteria are capable of populating nearly any living environment on the Earth (e.g. Soil, water, air, human body, and even extreme environments) and contribute greatly to the global matter cycle and energy metabolism. Asus mini bluetooth dongle usbbt211 driver for mac. Our understanding of bacteria and their roles is largely limited because more than 99% bacterial species cannot be isolated and cultivated with current laboratory practices.

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Diversity Metrics Dashboard

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Unbiased Gene Diversity

Over the past decades, both traditional culture dependent and independent approaches (including isolation, cloning, functional identification, DGGE (denaturing gradient gel electrophoresis), T-RFLP (terminal restriction fragment length polymorphism), FISH (fluorescence in situ hybridization), and Genechips etc.) always cause bottlenecks in exploring global bacterial diversities and their potential functions. To overcome these limitations, high-throughput sequencing technologies have been well developed to promote the relevant research fields. The Roche 454, SOLID, Ion Torrent, and Illumina platforms have dominated the next-generation sequencing market and made notable contributions to the genomic and metagenomic studies in the past five years. Roche 454 pyrosequencing technology, a high-throughput platform generating relatively long length reads, has greatly promoted the exploration of bacterial diversities in various environments. Bacterial 16S rRNA gene encodes the small subunit ribosomal RNA molecule that has been thought to be the most versatile and reliable marker gene for profiling bacterial populations. The 16S rRNA gene full length usually contains nine hypervariable regions (V1–V9) flanked by nine highly conserved regions (C1–C9).

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