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Article: Estimation of nitrifier abundances in a partial nitrification reactor treating ammonium-rich saline wastewater using DGGE, T-RFLP and mathematical modeling

TitleEstimation of nitrifier abundances in a partial nitrification reactor treating ammonium-rich saline wastewater using DGGE, T-RFLP and mathematical modeling
Authors
KeywordsDGGE
Double Monod
Partial nitrification
T-RFLP
Issue Date2010
PublisherSpringer. The Journal's web site is located at http://link.springer.de/link/service/journals/00253/index.htm
Citation
Applied Microbiology And Biotechnology, 2010, v. 88 n. 6, p. 1403-1412 How to Cite?
Abstract
The bacterial community in a partial nitrification reactor was analyzed on the basis of 16S rRNA gene by cloning-sequencing method, and the percentages of ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB) in the activated sludge were quantified by three independent methods, namely, denaturing gradient gel electrophoresis (DGGE), terminal restriction fragment length polymorphism (T-RFLP) and Double Monod modeling. The clone library results suggested that there were only a dominant AOB and a dominant NOB species in the reactor, belonging to Nitrosomonas genus and Nitrospira genus, respectively. The percentages of NOB in total bacterial community increased from almost 0% to 30% when dissolved oxygen (DO) levels were changed from 0.15 mg/L to 0.5 mg/L, coinciding with the accumulation and conversion of nitrite, while the percentages of AOB changed little in the two phases. The results confirmed the importance of low DO level for inhibiting NOB to achieve partial nitrification. Furthermore, the percentages of AOB and NOB in the total bacteria community were estimated based on the results of batch experiments using Double Monod model, and the results were comparable with those determined according to profiles of DGGE and T-RFLP. © 2010 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/139032
ISSN
2013 Impact Factor: 3.811
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong General Research FundHKU7197/08E
HKU
Funding Information:

The authors wish to thank the Hong Kong General Research Fund (HKU7197/08E) for the financial support of this study, and Lin Ye wishes to thank HKU for the postgraduate studentship.

References

 

Author Affiliations
  1. The University of Hong Kong
DC FieldValueLanguage
dc.contributor.authorYe, Len_HK
dc.contributor.authorZhang, Ten_HK
dc.date.accessioned2011-09-23T05:44:27Z-
dc.date.available2011-09-23T05:44:27Z-
dc.date.issued2010en_HK
dc.identifier.citationApplied Microbiology And Biotechnology, 2010, v. 88 n. 6, p. 1403-1412en_HK
dc.identifier.issn0175-7598en_HK
dc.identifier.urihttp://hdl.handle.net/10722/139032-
dc.description.abstractThe bacterial community in a partial nitrification reactor was analyzed on the basis of 16S rRNA gene by cloning-sequencing method, and the percentages of ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB) in the activated sludge were quantified by three independent methods, namely, denaturing gradient gel electrophoresis (DGGE), terminal restriction fragment length polymorphism (T-RFLP) and Double Monod modeling. The clone library results suggested that there were only a dominant AOB and a dominant NOB species in the reactor, belonging to Nitrosomonas genus and Nitrospira genus, respectively. The percentages of NOB in total bacterial community increased from almost 0% to 30% when dissolved oxygen (DO) levels were changed from 0.15 mg/L to 0.5 mg/L, coinciding with the accumulation and conversion of nitrite, while the percentages of AOB changed little in the two phases. The results confirmed the importance of low DO level for inhibiting NOB to achieve partial nitrification. Furthermore, the percentages of AOB and NOB in the total bacteria community were estimated based on the results of batch experiments using Double Monod model, and the results were comparable with those determined according to profiles of DGGE and T-RFLP. © 2010 Springer-Verlag.en_HK
dc.languageengen_US
dc.publisherSpringer. The Journal's web site is located at http://link.springer.de/link/service/journals/00253/index.htmen_HK
dc.relation.ispartofApplied Microbiology and Biotechnologyen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectDGGEen_HK
dc.subjectDouble Monoden_HK
dc.subjectPartial nitrificationen_HK
dc.subjectT-RFLPen_HK
dc.subject.meshBacteria - classification - genetics - metabolism-
dc.subject.meshBiodiversity-
dc.subject.meshBioreactors - microbiology-
dc.subject.meshNitrification-
dc.subject.meshQuaternary Ammonium Compounds - metabolism-
dc.titleEstimation of nitrifier abundances in a partial nitrification reactor treating ammonium-rich saline wastewater using DGGE, T-RFLP and mathematical modelingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0175-7598&volume=88&issue=6&spage=1403&epage=1412&date=2010&atitle=Estimation+of+nitrifier+abundances+in+a+partial+nitrification+reactor+treating+ammonium-rich+saline+wastewater+using+DGGE,+T-RFLP+and+mathematical+modeling-
dc.identifier.emailZhang, T:zhangt@hkucc.hku.hken_HK
dc.identifier.authorityZhang, T=rp00211en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00253-010-2837-3en_HK
dc.identifier.pmid20737268en_HK
dc.identifier.scopuseid_2-s2.0-78649329735en_HK
dc.identifier.hkuros192697en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78649329735&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume88en_HK
dc.identifier.issue6en_HK
dc.identifier.spage1403en_HK
dc.identifier.epage1412en_HK
dc.identifier.isiWOS:000284267700019-
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridYe, L=36451639300en_HK
dc.identifier.scopusauthoridZhang, T=24470677400en_HK
dc.identifier.citeulike7816637-

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