2013
DOI: 10.1016/j.biortech.2013.08.062
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Acclimatization of communities of ammonia oxidizing bacteria to seasonal changes in optimal conditions in a coke wastewater treatment plant

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Cited by 19 publications
(9 citation statements)
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“…Determination of parameter values in combination with culture‐independent molecular techniques such as denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T‐RFLP) on polymerase chain reaction (PCR) amplified target genes, besides real‐time PCR and fluorescence in situ hybridization (FISH), could allow the association of the determined parameter values with specific species. If parameter values differ for the same species, operational conditions may have influenced the microbial characteristics, for example, one similar microbial community was acclimated to new operational conditions (Kim, ) or different strains of a species had different metabolic characteristics (Lydmark et al, ). The interaction between modellers and microbiologists is, therefore, encouraged in order to keep track of microbial diversity in mathematical modelling, allowing for example model‐based population optimization (Yuan and Blackall, ).…”
Section: Resultsmentioning
confidence: 99%
“…Determination of parameter values in combination with culture‐independent molecular techniques such as denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T‐RFLP) on polymerase chain reaction (PCR) amplified target genes, besides real‐time PCR and fluorescence in situ hybridization (FISH), could allow the association of the determined parameter values with specific species. If parameter values differ for the same species, operational conditions may have influenced the microbial characteristics, for example, one similar microbial community was acclimated to new operational conditions (Kim, ) or different strains of a species had different metabolic characteristics (Lydmark et al, ). The interaction between modellers and microbiologists is, therefore, encouraged in order to keep track of microbial diversity in mathematical modelling, allowing for example model‐based population optimization (Yuan and Blackall, ).…”
Section: Resultsmentioning
confidence: 99%
“…However, this bias had been clearly reported (Saunders et al 2016 ). Furthermore, all the previous studies took aeration tank samples as if they were automatically representative of the whole WWTP and half of them used traditional molecular biotechnology (Chonova et al 2016 ; Flowers et al 2013 ; Hug et al 2005 ; Jiang et al 2016 ; Ju et al 2014 ; Kim 2013 ; Muszynski et al 2015 ; Tuncal et al 2009 ; Wang et al 2016 ). Again, most of the known research work only had its focus on municipal sewage treatment systems (Chen et al 2016 ; Cydzik-Kwiatkowska and Zielinska 2016 ; Ding et al 2017 ; Isazadeh et al 2016 ; Jiang et al 2016 ; Jin et al 2011 ; Ju et al 2014 ; Lu et al 2014 ; McLellan et al 2010 ; Muszynski et al 2015 ; Wan et al 2011 ; Wang et al 2016 ; Xu et al 2017 ; Zhang et al 2012 ; Zielinska et al 2016 ).…”
Section: Discussionmentioning
confidence: 99%
“…Ammonia is the most important growth factor for most of the microalgae [20,[78][79][80], where it can heavily effect the distribution of algal communities in specific habitats. High diversity and growth rate of microalgae were recorded in spots like wastewater and stagnant water, containing a high proportion of ammonia.…”
Section: Effects Of Ammonia and Phosphorus On The Microalgal Communitymentioning
confidence: 99%