Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome)

Bio­con­ver­sion of palm oil mill efflu­ent (POME) to gen­er­ate methane gas via anaer­o­bic diges­tion involves a con­sor­tium of microbes which are respon­si­ble in sev­eral steps of the biodegra­da­tion process. In this study, the micro­bial com­mu­nity from a selected POME was char­ac­terised vi...

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Main Authors: Wei, Christy Chan Sien, Lau, Seng, Awang Ahmad Sallehin, Awang Husaini, Azham, Zulkharnain, Kasing, Apun, Leslie, Bilung, Micky, Vincent
Format: Article
Language:English
Published: MOPB 2015
Subjects:
Online Access:http://ir.unimas.my/id/eprint/10707/
http://ir.unimas.my/id/eprint/10707/1/NO%2084%20Molecular%20technique%20identification%20of%20the%20microbial%20population%20in%20palm%20oil%20mill%20effluent%20%28POME%29.pdf
_version_ 1848836842330259456
author Wei, Christy Chan Sien
Lau, Seng
Awang Ahmad Sallehin, Awang Husaini
Azham, Zulkharnain
Kasing, Apun
Leslie, Bilung
Micky, Vincent
author_facet Wei, Christy Chan Sien
Lau, Seng
Awang Ahmad Sallehin, Awang Husaini
Azham, Zulkharnain
Kasing, Apun
Leslie, Bilung
Micky, Vincent
author_sort Wei, Christy Chan Sien
building UNIMAS Institutional Repository
collection Online Access
description Bio­con­ver­sion of palm oil mill efflu­ent (POME) to gen­er­ate methane gas via anaer­o­bic diges­tion involves a con­sor­tium of microbes which are respon­si­ble in sev­eral steps of the biodegra­da­tion process. In this study, the micro­bial com­mu­nity from a selected POME was char­ac­terised via mol­e­c­u­lar tech­niques and through culture-based plat­ing in order to deter­mine their com­po­si­tion, and sub­se­quently under­stand their func­tion in the anaer­o­bic com­mu­nity. Genomic DNA of the micro­bial com­mu­nity was extracted using direct extrac­tion tech­nique, fol­lowed by PCR tar­get­ing the 16S rDNA region. Dis­tinct frag­ments of approx­i­mately 1100 bp in sizes were suc­cess­fully ampli­fied using PCR and cloned onto Escherichia coli XL-1 Blue. Upon sequenc­ing of the frag­ments, BLAST queries iden­ti­fied the bac­te­ria as Ther­moanaer­obac­terium sp. In addi­tion, two other bac­te­r­ial species were suc­cess­fully iso­lated from the POME by cul­tur­ing on DVS agar. The sequenc­ing result of these bac­te­r­ial iso­lates showed both iso­lates belonged to the Bacil­lus genus. By under­stand­ing the bac­te­r­ial com­mu­nity present in the POME, this will lead to the improve­ment of the anaer­o­bic diges­tion process to enhance the pro­duc­tion of bio­gas such as methane.
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publisher MOPB
recordtype eprints
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spelling unimas-107072017-02-21T01:54:27Z http://ir.unimas.my/id/eprint/10707/ Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome) Wei, Christy Chan Sien Lau, Seng Awang Ahmad Sallehin, Awang Husaini Azham, Zulkharnain Kasing, Apun Leslie, Bilung Micky, Vincent Q Science (General) SB Plant culture Bio­con­ver­sion of palm oil mill efflu­ent (POME) to gen­er­ate methane gas via anaer­o­bic diges­tion involves a con­sor­tium of microbes which are respon­si­ble in sev­eral steps of the biodegra­da­tion process. In this study, the micro­bial com­mu­nity from a selected POME was char­ac­terised via mol­e­c­u­lar tech­niques and through culture-based plat­ing in order to deter­mine their com­po­si­tion, and sub­se­quently under­stand their func­tion in the anaer­o­bic com­mu­nity. Genomic DNA of the micro­bial com­mu­nity was extracted using direct extrac­tion tech­nique, fol­lowed by PCR tar­get­ing the 16S rDNA region. Dis­tinct frag­ments of approx­i­mately 1100 bp in sizes were suc­cess­fully ampli­fied using PCR and cloned onto Escherichia coli XL-1 Blue. Upon sequenc­ing of the frag­ments, BLAST queries iden­ti­fied the bac­te­ria as Ther­moanaer­obac­terium sp. In addi­tion, two other bac­te­r­ial species were suc­cess­fully iso­lated from the POME by cul­tur­ing on DVS agar. The sequenc­ing result of these bac­te­r­ial iso­lates showed both iso­lates belonged to the Bacil­lus genus. By under­stand­ing the bac­te­r­ial com­mu­nity present in the POME, this will lead to the improve­ment of the anaer­o­bic diges­tion process to enhance the pro­duc­tion of bio­gas such as methane. MOPB 2015 Article PeerReviewed text en http://ir.unimas.my/id/eprint/10707/1/NO%2084%20Molecular%20technique%20identification%20of%20the%20microbial%20population%20in%20palm%20oil%20mill%20effluent%20%28POME%29.pdf Wei, Christy Chan Sien and Lau, Seng and Awang Ahmad Sallehin, Awang Husaini and Azham, Zulkharnain and Kasing, Apun and Leslie, Bilung and Micky, Vincent (2015) Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome). Journal of Oil Palm Research, 27 (3). pp. 293-298. ISSN 1511-2780 http://jopr.mpob.gov.my/molecular-technique-identification-of-the-microbial-population-in-palm-oil-mill-effluent-pome/
spellingShingle Q Science (General)
SB Plant culture
Wei, Christy Chan Sien
Lau, Seng
Awang Ahmad Sallehin, Awang Husaini
Azham, Zulkharnain
Kasing, Apun
Leslie, Bilung
Micky, Vincent
Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome)
title Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome)
title_full Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome)
title_fullStr Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome)
title_full_unstemmed Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome)
title_short Molecular Technique Identification Of The Microbial Population In Palm Oil Mill Effluent (Pome)
title_sort molecular technique identification of the microbial population in palm oil mill effluent (pome)
topic Q Science (General)
SB Plant culture
url http://ir.unimas.my/id/eprint/10707/
http://ir.unimas.my/id/eprint/10707/
http://ir.unimas.my/id/eprint/10707/1/NO%2084%20Molecular%20technique%20identification%20of%20the%20microbial%20population%20in%20palm%20oil%20mill%20effluent%20%28POME%29.pdf