ISSN: 0973-7510

E-ISSN: 2581-690X

Fitri Abdul Aziz Zakry1 , Halimi Mohd Saud2, Khairuddin B. Abdul Rahim3 and Osumanu H. Ahmed1
1Faculty of Agriculture and Food Sciences, Universiti Putra Malaysia Bintulu Campus Sarawak, 97008 Bintulu, Sarawak, Malaysia.
2Faculty of Agriculture, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
3Division of Agrotechnology and Biosciences, Malaysian Nuclear Agency, 43000 Kajang, Selangor, Malaysia.
J Pure Appl Microbiol. 2014;8(4):2801-2816
© The Author(s). 2014
Received: 18/03/2013 | Accepted: 20/05/2013 | Published: 31/08/2014
Abstract

In this study, computational methods were used to predict information hidden in the small subunit 16S rRNA gene from newly isolated plant growth-promoting rhizobacteria B. cereus strain UPMLH24. In the present study, the computational methods employed revealed that the small subunit 16S rRNA gene sequence from B. cereus strain UPMLH24 contained a number of small open reading frames that encoded several functional proteins. Computational predictions classified seven phyla of organisms associated with small open reading frames of novel B. cereus strain UPMLH24. The data generated from computational predictions in the present study could form the basis for further research to advance new hypotheses in the microbiology of rhizobacteria.

Keywords

Bioinformatics, Gene prediction, Open reading frames, Protein, Rhizobacteria, Translation

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