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Fig. 5 | BMC Veterinary Research

Fig. 5

From: Growth performance, nutrient digestibility, fecal microbial diversity and volatile fatty acid, and blood biochemical indices of suckling donkeys fed diets supplemented with multienzymes

Fig. 5

Tax4Fun is an R program package based on the 16S Silva database for the functional prediction of the microbial community composition of intestinal, soil, and other environmental samples, with high prediction accuracy. Functions were predicted with Tax4Fun by using the nearest neighbor method based on minimum 16S rRNA sequence similarity. In this method, the 16S rRNA gene sequence of the prokaryote whole genome is extracted from the KEGG database and compared with the SILVA SSU Ref NR database by using the BLASTN algorithm (BLAST bitscore > 1500). Then, the correlation matrix is established, and the prokaryotic whole genome functional information annotated by UProC and PAUDA in the KEGG database is compared with the SILVA database to realize the functional annotation of the SILVA database. Sequencing samples were clustered with the SILVA database sequence as the reference sequence to obtain OTU, and then, the functional annotation information was obtained

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BMC Veterinary Research

ISSN: 1746-6148

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