Bioinformatics study of phytase from Aspergillus niger for use as feed additive in livestock feed.

Abstract

Background: Phytase supplementation in rations can reduce their phytic acid composition in order to enhance their nutritional value. Aspergillus niger is a fungus that can encode phytase. This study aims to determine the characteristics of its DNA sequences and amino acid composition that encode the phytase enzyme, as well as to determine the primer designs.

Method: This study used gene sequence data and protein-encoding phytase from Aspergillus niger that was collected manually from NCBI and PDB. The data was analyzed using SPDBV and then be aligned using the ClustalW Multiple Alignment features. The phylogenetic tree was built by Mega11 software. Primers were designed from selected candidate sequences that were analyzed. The designed primers were then simulated for PCR using FastPCR and SnapGene software.

Results: There are 18 Aspergillus niger phytases in NCBI which is 14.87% of the total Aspergillus. There are 14 Aspergillus niger phytases that have identity above 95%. Aspergillus niger 110. M94550.1 is the closest strain to the PDB template. Candidate sources of phytase genes are Aspergillus niger 110.M94550.1, 48.2.BCMY01000003.1, and 92.JQ654450.1. The primer design has 2 possibilities of self-annealing and high melting temperature on the reverse primer. PCR simulation shows that the primer design can attach completely but still has the possibility of mispriming.

Conclusion: This study suggests promising results for the future development of phytase enzyme production from Aspergillus niger as a feed additive using genetic engineering to enhance the quality of livestock feed in Indonesia.