Method for analyzing microbial community structures

Abstract

The invention belongs to the technical field of bioanalysis, and particularly relates to a method for analyzing microbial community structures. The method comprises the following steps of: extracting total RNA in an environment sample; separating small-subunit rRNA from the total RNA; carrying out reverse transcription on the small-subunit rRNA by random primer for sequencing; extracting the small-subunit rRNA sequence from the results of sequencing; and confirming category message according to the obtained small-subunit rRNA sequence, and acquiring the characteristics of the microbial community structure. The method does not use specific PCR amplification so as to avoid various deviations in the PCR process; and meanwhile, the method can be used for analyzing the community structure of bacteria, archimycetes and eukaryotic microorganism, thus truly and completely reflecting the characteristics of the microbial community structure in the environment sample.

Description

technical field [0001] The invention belongs to the technical field of biological analysis, and in particular relates to a method for analyzing microbial community structure by using rRNA sequencing without PCR. Background technique [0002] The analysis of microbial community structure has always been a hotspot in the research of microbial ecology and environmental microbiology. Therefore, analyzing the dynamic changes of microbiota based on the population structure and diversity of target samples can provide a reliable basis for optimizing community structure, regulating community function and discovering new important functional microbial groups. With the development and wide application of molecular biology technology, it has also been gradually introduced into the field of microbial ecology and environmental microbiology since the early 1990s, providing new methods and unprecedented impetus for research in this field. The advantage of molecular biology technology is th...

AI Technical Summary

Problems solved by technology

However, this method still relies on primers and cannot avoid the defects of specific PCR amplification.

Meta (macro) genome analysis can avoid the defects of PCR amplification, but because only about 0.2% of the obtained metagenome data are related to 16S / 18SrRNA genes, the metagenome analysis method is not the most suitable for the analysis of microbial diversity method

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