Enhanced production of poly glutamic acid by Bacillus sp. SW1-2 using statistical experimental design

  • Mahmoud M Berekaa
  • Mohamed S Al-Otaibi

Abstract

Bacillus sp. SW1-2 producing poly glutamic acid (PGA), locally isolated from Eastern province in Saudi Arabia, was characterized and identified based on 16S rRNA gene sequencing. Phylogenetic analysis revealed its closeness to Bacillus megaterium. The homopolymer consists mainly of glutamic as indicated in the analysis of amino acid. Preliminary optimization of PGA production, through a series of one-variable-at-a-time (OVAT) experiments, revealed maximum PGA production of 10.5 (g/L). Statistically based experiments were applied to optimize culture conditions for production of PGA. Effect of 15 variables were examined for their significance on PGA production using Plackett-Burman factorial design. Among those variables; Na-citrate, (NH4)2SO4, glutamic acid and CaCl2.2H2O were most significant variables that encouraged PGA production, while those negatively affected were; glycerol, glucose and phosphate buffer. Significant parameters were further investigated using Box-Behnken design to define the optimal medium composition. Based on statistical analysis, maximal PGA production on optimized medium was 36.5 (g/L) which was more than 4-folds the basal production medium. Verification experiment was carried out to examine model validation and revealed more than 95% validity.

Keywords: Poly glutamic acid, Bacillus megaterium, statistical experimental design, optimization, one-variable-at-a-time (OVAT)

African Journal of Biotechnology Vol. 12(5), pp. 481-490

Author Biographies

Mahmoud M Berekaa
Department of Biology, College of Education, Dammam University, Dammam 31451, Saudi Arabia; Department of Environmental Sciences, Faculty of Science, Alexandaria University. Moharam Bek, Alexandria, Egypt
Mohamed S Al-Otaibi
Department of Biology, College of Education, Dammam University, Dammam 31451, Saudi Arabia
Published
2015-11-29
Section
Articles

Journal Identifiers


eISSN: 1684-5315