In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24
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 se...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Oriental Scientific Publishing Company
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/37994/ http://psasir.upm.edu.my/id/eprint/37994/1/In%20silico%20protein%20prediction%20of%20the%2016S%20ribosomal%20RNA%20gene%20from%20novel%20rhizobacterium%20Bacillus%20cereus%20UPMLH24.pdf |
| _version_ | 1848848755545079808 |
|---|---|
| author | Abdul Aziz, Zakry Fitri Mohd Saud, Halimi Abdul Rahim, Khairuddin Ahmed, Osumanu Haruna |
| author_facet | Abdul Aziz, Zakry Fitri Mohd Saud, Halimi Abdul Rahim, Khairuddin Ahmed, Osumanu Haruna |
| author_sort | Abdul Aziz, Zakry Fitri |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T09:39:33Z |
| format | Article |
| id | upm-37994 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:39:33Z |
| publishDate | 2014 |
| publisher | Oriental Scientific Publishing Company |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-379942015-12-29T08:56:49Z http://psasir.upm.edu.my/id/eprint/37994/ In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24 Abdul Aziz, Zakry Fitri Mohd Saud, Halimi Abdul Rahim, Khairuddin Ahmed, Osumanu Haruna 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. Oriental Scientific Publishing Company 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37994/1/In%20silico%20protein%20prediction%20of%20the%2016S%20ribosomal%20RNA%20gene%20from%20novel%20rhizobacterium%20Bacillus%20cereus%20UPMLH24.pdf Abdul Aziz, Zakry Fitri and Mohd Saud, Halimi and Abdul Rahim, Khairuddin and Ahmed, Osumanu Haruna (2014) In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24. Journal of Pure and Applied Microbiology, 8 (4). pp. 2801-2816. ISSN 0973-7510 http://www.microbiologyjournal.org/jmabsread.php?snoid=2033&month=Aug&year=2014 |
| spellingShingle | Abdul Aziz, Zakry Fitri Mohd Saud, Halimi Abdul Rahim, Khairuddin Ahmed, Osumanu Haruna In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24 |
| title | In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24 |
| title_full | In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24 |
| title_fullStr | In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24 |
| title_full_unstemmed | In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24 |
| title_short | In silico protein prediction of the 16S ribosomal RNA gene from novel rhizobacterium Bacillus cereus UPMLH24 |
| title_sort | in silico protein prediction of the 16s ribosomal rna gene from novel rhizobacterium bacillus cereus upmlh24 |
| url | http://psasir.upm.edu.my/id/eprint/37994/ http://psasir.upm.edu.my/id/eprint/37994/ http://psasir.upm.edu.my/id/eprint/37994/1/In%20silico%20protein%20prediction%20of%20the%2016S%20ribosomal%20RNA%20gene%20from%20novel%20rhizobacterium%20Bacillus%20cereus%20UPMLH24.pdf |