The 16S rRNA (small subunit ribosomal RNA) gene is a universal marker for phylogenetic reconstructions to approximate the tree of life owing to its presence in all prokaryotes and its high conservation. Sequencing of 16S rRNA genes amplified directly from environmental samples is commonly used to study microbial community composition and diversity. Great advances in pyrosequencing technology and bioinformatics in recent years enable us to obtain sequence data from large鄄scale environmental samples efficiently and cost鄄effectively. However, some critical problems need to be addressed when the 16S rRNA gene is used for microbial diversity studies, such as horizontal gene transfer (HGT) , intragenomic heterogeneity, PCR amplification efficiency, and sequencing data analysis. In this review, we summarize the state鄄of鄄the鄄art applications of 16S rRNA gene as a biomarker for microbial ecology studies, and introduce current pyrosequencing techniques and bioinformatics for large鄄scale data analysis. This review focuses on four aspects. (i) We introduce the structure and properties of the 16S rRNA gene, e.g. the primary and secondary structure, HGT and heterogeneities of 16S rRNA genes. Based on current available microbial genomes, multi鄄copy and intragenomic heterogeneities of 16S rRNA genes are recognized. These phenomena may seriously bias the estimations of microbial diversity in environmental samples. Some online tools and databases used for analysis of the 16S rRNA gene sequencing data are also introduced. These tools are used http: / / www.ecologica.cn to predict horizontal gene transfer, secondary structure, and to align and classify 16S rRNA gene sequences. (ii) We introduce some 16S rRNA鄄based techniques commonly used in microbial ecology studies, such as fingerprinting profiling, hybridization, microarray, and high throughput pyrosequencing methods. We compare the advantages and limitations of various methods and recommend how to use them properly based on a specific target. Different methods have different resolutions and detection limitations. Low鄄resolution profiling methods potentially miss some important information and make it difficult to detail the phylogenetic composition of an environmental sample. Pyrosequencing technique is highly recommended in the future for microbial ecology study. Several sequencing platforms, e. g. Roche 454, Ion Torrent and MiSeq, are compared. (iii) We evaluate the biases that may be introduced during sample preparation and PCR procedures, e. g. DNA extraction, primer selection, PCR optimization, PCR product purification, and data analysis. Amplicon sequencing method suffers from a high level of sequencing and amplification artifacts. It is important to select OTU (operational taxonomic units) classification and chimera removing algorithms. In this case, the Uchime and Uparse are recommended for microbial amplicon pyrosequencing reads. (iv) We introduce some bioinformatics tools for pyrosequencing data analysis, such as chimera check and diversity index calculation. The most ...