Analysis of microbial community composition and functional diversity of mushroom residue based on metagenomics
To investigate the shifts in microbial community composition and functional diversity during the fermentation of Agaricus Bisporus residue,metagenomic sequencing was performed on samples taken at days of 0,8,16,and 20 of the composting process.The composting involved a mixture of Agaricus Bisporus residue and pig manure,and the analysis focused on the evolution of the microbial community and the identification of functional genes.The results showed that:(1)The microbial community composition of Agaricus Bisporus residue organic fer-tilizer after fermentation for 0,8,16 and 20 days changed greatly.At the same time,functional diversity analysis and cluster analysis in the KEGG database showed that the samples at day 0 and day 8 were relatively close,as were the samples at day 16 and day 20.(2)A total of 28 257 species were identified from the organic fertilizer species of mushroom residue in different time periods,and the species represented 61.04%,85.35%,86.08%and 85.40%of the total species identified at samples after fermentation for 0,8,16,and 20 days,respectively.(3)Initially,at day 0 of natural fermentation,the dominant phylum was Firmicutes;with the increase of fermentation time,the dominant phylum gradually changed into Proteobacteria,Bacteroidetes and Actinobacteria;throughout the fermentation pro-cess,Bacillus and Paenibacillus remained the key families;the dominant strains were identified as Thermoamylo-vorans and Smithii.(4)The functional genes in the fermentation process were mainly located in carbohydrate metabo-lism,amino acid metabolism,nucleotide metabolism and metabolism of cofactors and vitamins,and the main CAZy families were glycoside hydrolases and glycosyl transferases,which accounted for 38.8%and 38.1%,respectively,while polysaccharide lyases was the least abundant,representing only 1.2%.The most abundant resistance genes were associated with multidrug,macrolide and tetracycline.
国家科技期刊平台
NSTL
万方数据
