Statistical Analysis Of Acremonium Intracellulare Based On Metagenomics

Metagenomics is a research method that is more and more widely used in the study of microorganisms.Through this research method,the genetic diversity of microorganisms can be obtained from environmental samples,and their molecules can be obtained through subsequent statistical analysis.In the identification of microbial species,metagenomics is mainly to avoid the situation that microbial species can be identified by laboratory methods are rare.The DNA of all microorganisms is directly extracted from environmental samples,and a metagenomic library is constructed to identify species.At present,the pathogenicity of fungi has gradually attracted everyone's attention,and many fungi often have the presence of intracellular bacteria.Whether the pathogenic fungus is the fungus or its intracellular bacteria and whether the intracellular bacteria have a relationship with the growth of the host fungus,this impact studies are particularly important.Acremonium strictum,is a model strain of fungi that contains intracellular bacteria.In recent years,the number of diseases caused by A.strictum has been increasing,and the research on its and its intracellular bacteria has been deepened,making identification of intracellular bacteria has became one of the key issues in the research.The A.strictum samples used in this article were isolated by the laboratory.In order to study the specific species classification of intracellular bacteria,this paper analyzes the 16s rRNA data of the samples by means of metagenomics.The DADA2 algorithm based on the error model and iteratively divided into regions in the metagenomics process was selected to obtain the composition results of the respective intracellular bacteria of the three generations of the same strain.And then,in order to study whether intracellular bacteria have an effect on the growth status of host fungi,this paper compares the functional expression abundances of the two with a database.This paper targets the intracellular bacteria and their host fungi on all functional expressions.The incomplete contingency table mainly adopts logarithmic linear model and proportional iterative algorithm for independence test.For the complete contingency table for common function expression of intracellular bacteria and its host fungi,the independence test is mainly based on regression model.Through two different methods of independence testing,it was concluded that intracellular bacteria and their host fungi have a certain degree of functional abundance.At the same time,in order to find out whether intracellular bacteria and host fungi can form complementarity in functional expression,the fungi obtained from the laboratory was compared with the fungus s2058 of the National Collection Center,and it was concluded that three fungal missing functions can be found in their intracellular bacteria.The first chapter discusses the research background and significance of this article,and gives a detailed explanation of Acremonium strictum and metagenomics.Then,it introduces the status of microbial and fungal research at home and abroad for metagenomics and the concepts of biological-related knowledge involved in this article.Finally,the innovations points of this article are given.The second chapter mainly studies the specific identification and classification of intracellular bacteria in A.strictum by using the DADA2 algorithm based on the error model and the iterative grouping and partitioning algorithm.The third chapter mainly discusses the independence test of intracellular bacteria and host fungi in all functional expression abundances and in common functional expression abundances.The main methods include independence test based on log-linear model and proportional iterative algorithm,and independence test based on regression model.