Method for constructing bacterial community genome scale metabolic network

Abstract

The invention discloses a method for constructing a bacterial community genome scale metabolic network. The method comprises the following steps: 1, sequencing a bacterial community metagenome; 2, splicing to obtain a bacterial genome map; 3, identifying an open code reading frame; 4, predicting the metabolic function of the open code reading frame; and 5, carrying out visualization processing ona prediction result to construct a bacterial community genome scale metabolic network. On the basis of metagenome sequencing, a systematic method is adopted to control the quality of original sequencedata, so that the quality control precision of the original sequence data is unified, the genome atlas splicing speed and efficiency are improved, and a visual bacterial flora genome scale metabolicnetwork is constructed; therefore, the bacterial community function can be intuitively and efficiently understood.

Description

technical field [0001] The invention belongs to the technical field of bioinformatics, and in particular relates to a method for constructing a bacterial community genome-scale metabolic network. Background technique [0002] Bacterial community is an organic whole formed by bacteria interacting and interacting through various channels. It is the carrier for maintaining the stability and function of bacterial life activities. The function of bacterial community is important for biogeochemical cycles, human production and life, and life activities. influences. Therefore, understanding the overall function of the bacterial community is of great significance for the improvement of bacterial ecology and the rational development and utilization of bacterial community functions. [0003] The development of microbial sequencing technology, especially the application of metagenomics, has greatly accelerated people's understanding of bacterial life activities and bacterial community...

AI Technical Summary

Problems solved by technology

At present, although genome map assembly technology is helpful for in-depth study of bacteria and bacterial community functions, there are still problems in the speed and efficiency of assembly

For example, the automation level of the genome assembly method system based on ESOM software is low, and it takes 10 to 30 days to obtain the bacterial genome map; the genome map assembled by the genome assembly method system based on Maxbin software can only use 60% of the community genome sequencing data. Difficulty restoring the basic structure of the community

At the same time, different method systems have different requirements for the quality control accuracy of raw data, and multiple attempts at quality control accuracy have also made it difficult for the genome map assembly system to be widely used

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