Bioinformatics analysis of predicted Ganoderma boninense from oil palm (Elaeis guineensis)

Abstract

Abstract The current report examines the bioinformatics approaches to analyse 13 predicted Ganodermaboninense genes from Elaeis guineensisJacq. along with predicted the assembly, pattern, potential transit peptide, and subcellular localisation. The length of the genes was varied with the genes examined, from 209 to 222 bp. It is noteworthy the physicochemical heterogeneity properties consistingcomparative molecular weight, theoretical isoelectric point value, the total atomic number, extinction coefficient, instability coefficient, aliphatic index, and general average hydropathicity along with the analysed genes. Based on stability coefficients, 13 G. boninense genes were unstable proteins, mostly stored in the cytoplasm, microbody (peroxisome), and endoplasmic reticulum (membrane). In contrast to this osbervation, a few genes were existed to the plasma membrane. BLAST search showed that 13 sequences of G. boninenses isolates show high similarity (89-99%) to the G. boninense strain NJ3 in the database of NCBI.These findingspointed the significantknowledge on the diversity and role of physical and chemical characteristics of the distinguishable amino acids in G. boninenseisolates.