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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
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TitleEstimation of nitrifier abundances in a partial nitrification reactor treating ammonium-rich saline wastewater using DGGE, T-RFLP and mathematical modeling
 
AuthorsYe, L1
Zhang, T1
 
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
 
CitationApplied Microbiology And Biotechnology, 2010, v. 88 n. 6, p. 1403-1412 [How to Cite?]
DOI: http://dx.doi.org/10.1007/s00253-010-2837-3
 
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.
 
ISSN0175-7598
2013 Impact Factor: 3.811
 
DOIhttp://dx.doi.org/10.1007/s00253-010-2837-3
 
ISI Accession Number IDWOS:000284267700019
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.

 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorYe, L
 
dc.contributor.authorZhang, T
 
dc.date.accessioned2011-09-23T05:44:27Z
 
dc.date.available2011-09-23T05:44:27Z
 
dc.date.issued2010
 
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.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationApplied Microbiology And Biotechnology, 2010, v. 88 n. 6, p. 1403-1412 [How to Cite?]
DOI: http://dx.doi.org/10.1007/s00253-010-2837-3
 
dc.identifier.citeulike7816637
 
dc.identifier.doihttp://dx.doi.org/10.1007/s00253-010-2837-3
 
dc.identifier.epage1412
 
dc.identifier.hkuros192697
 
dc.identifier.isiWOS:000284267700019
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.

 
dc.identifier.issn0175-7598
2013 Impact Factor: 3.811
 
dc.identifier.issue6
 
dc.identifier.openurl
 
dc.identifier.pmid20737268
 
dc.identifier.scopuseid_2-s2.0-78649329735
 
dc.identifier.spage1403
 
dc.identifier.urihttp://hdl.handle.net/10722/139032
 
dc.identifier.volume88
 
dc.languageeng
 
dc.publisherSpringer. The Journal's web site is located at http://link.springer.de/link/service/journals/00253/index.htm
 
dc.publisher.placeGermany
 
dc.relation.ispartofApplied Microbiology and Biotechnology
 
dc.relation.referencesReferences in Scopus
 
dc.rightsThe original publication is available at www.springerlink.com
 
dc.subject.meshBacteria - classification - genetics - metabolism
 
dc.subject.meshBiodiversity
 
dc.subject.meshBioreactors - microbiology
 
dc.subject.meshNitrification
 
dc.subject.meshQuaternary Ammonium Compounds - metabolism
 
dc.subjectDGGE
 
dc.subjectDouble Monod
 
dc.subjectPartial nitrification
 
dc.subjectT-RFLP
 
dc.titleEstimation of nitrifier abundances in a partial nitrification reactor treating ammonium-rich saline wastewater using DGGE, T-RFLP and mathematical modeling
 
dc.typeArticle
 
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Author Affiliations
  1. The University of Hong Kong