Optimization of Random Amplified Polymorphic DNA-PCR for Genotyping Salmonella enterica subspecies enterica serovar Typhi Using a Mathematical Approach

Ja’afar, Ja’afar and Janardhan, Bhore and Balaram, Prabha and Kien, Phua (2016) Optimization of Random Amplified Polymorphic DNA-PCR for Genotyping Salmonella enterica subspecies enterica serovar Typhi Using a Mathematical Approach. Journal of Scientific Research and Reports, 11 (1). pp. 1-9. ISSN 23200227

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Abstract

Aim: A mathematical approach was employed to optimize and observe the interactive effects of Random Amplified Polymorphic DNA-PCR (RAPD-PCR) master mix with a view to resolving its limited reproducibility for reliable diagnostic and biomarker discovery for Salmonella Typhi.

Methodology: A gradient PCR for RAPD primer annealing temperature was performed, and a rotatable centred central composite design (RCCCD) using Design Expert® software was used to generate 82 experiments with six replicated centre points. Master mix components optimized include concentrations of DNA template, PCR buffer, MgCl2, RAPD primer, dNTPs and Taq DNA polymerase.

Results: The result of this study showed that significant interactions that yielded higher numbers of amplified DNA bands existed between PCR buffer and MgCl2; dNTPs and MgCl2; and RAPD primer and MgCl2. Although not statistically significant, good interactive relationships that recorded higher numbers of bands were recorded between Taq with MgCl2, and between RAPD primers and dNTPs. Reproducible RAPD-PCR results were obtained following the optimization with a co-efficient of variation (CV) value of 2.19%.

Conclusion: It was concluded that stringent and interactive master mix optimization is necessary if the simplicity and cost effectiveness of RAPD-PCR is to be utilized, and RSM offers a rapid and cost effective solution to this potentially tedious task.

Item Type: Article
Subjects: STM Open Press > Multidisciplinary
Depositing User: Unnamed user with email support@stmopenpress.com
Date Deposited: 10 Jun 2023 06:02
Last Modified: 22 Oct 2024 04:14
URI: http://journal.submissionpages.com/id/eprint/1330

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