Literature DB >> 19756849

Nonrandom assembly of bacterial populations in activated sludge flocs.

Joaquín M Ayarza1, Leandro D Guerrero, Leonardo Erijman.   

Abstract

The aim of this work was to investigate the dynamics of assembly of bacterial populations in activated sludge flocs. We approached this question by following the development of active bacterial populations during floc development in four replicated lab-scale activated sludge reactors, in which solid retention time (SRT) was set at 4 days. The null hypothesis was that the similarities in community composition could be accounted for by the probability that the same organisms occur in more than one replicated reactor. Microscopic imaging showed that the size of flocs in reactors with biomass retention increased during the first few days until a steady-state size was reached. The diversity and community structure of the sludge in all reactors were analyzed during a period of up to ten SRT, using denaturing gradient gel electrophoresis (DGGE) of reverse-transcription polymerase chain reaction-amplified 16S rRNA. High rates of change in DGGE profiles from consecutive sampling points suggested a high level of dynamics in all reactors. This conclusion was confirmed by the application of the Raup and Crick probability-based similarity index (S(RC)) for the comparison of rRNA-based fingerprinting patterns, which indicated that bacterial communities within reactors were not significantly similar after three SRT (0.05 < S(RC) < 0.95) and became significantly dissimilar after five SRT (S(RC) < 0.05). More importantly, significant similarity between replicate reactors was observed at all times analyzed (S(RC) > 0.95). The fact that the patterns between replicates were more reproducible than expected by chance under highly dynamic conditions allowed us to reject the null hypothesis that activated sludge floc communities assemble randomly from the available source pool of bacteria. We suggest that communities progressively recruit from the available pool of bacterial species, each with particular ecological requirements that determine their time of emergence into the community.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19756849     DOI: 10.1007/s00248-009-9581-1

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  36 in total

1.  The Distribution of Abundance in Neutral Communities.

Authors:  Graham Bell
Journal:  Am Nat       Date:  2000-05       Impact factor: 3.926

2.  Microbial population dynamics in laboratory-scale activated sludge reactors.

Authors:  K Kaewpipat; C P L Grady
Journal:  Water Sci Technol       Date:  2002       Impact factor: 1.915

3.  Taxa-area relationships for microbes: the unsampled and the unseen.

Authors:  Stephen Woodcock; Thomas P Curtis; Ian M Head; Mary Lunn; William T Sloan
Journal:  Ecol Lett       Date:  2006-07       Impact factor: 9.492

4.  Microbial community dynamics in nutrient-pulsed chemostats.

Authors:  Militza Carrero-Colón; Cindy H Nakatsu; Allan Konopka
Journal:  FEMS Microbiol Ecol       Date:  2006-07       Impact factor: 4.194

5.  Neutral assembly of bacterial communities.

Authors:  Stephen Woodcock; Christopher J van der Gast; Thomas Bell; Mary Lunn; Thomas P Curtis; Ian M Head; William T Sloan
Journal:  FEMS Microbiol Ecol       Date:  2007-11       Impact factor: 4.194

6.  Replicability of bacterial communities in denitrifying bioreactors as measured by PCR/T-RFLP analysis.

Authors:  Lora M McGuinness; Max Salganik; Leticia Vega; Karen D Pickering; Lee J Kerkhof
Journal:  Environ Sci Technol       Date:  2006-01-15       Impact factor: 9.028

7.  Microbial community structure in activated sludge floc analysed by fluorescence in situ hybridization and its relation to floc stability.

Authors:  Britt-Marie Wilén; Motoharu Onuki; Malte Hermansson; Doug Lumley; Takashi Mino
Journal:  Water Res       Date:  2007-12-23       Impact factor: 11.236

8.  The rational exploration of microbial diversity.

Authors:  Christopher Quince; Thomas P Curtis; William T Sloan
Journal:  ISME J       Date:  2008-07-24       Impact factor: 10.302

9.  Use of 16S rRNA gene terminal restriction fragment analysis to assess the impact of solids retention time on the bacterial diversity of activated sludge.

Authors:  Pascal E Saikaly; Peter G Stroot; Daniel B Oerther
Journal:  Appl Environ Microbiol       Date:  2005-10       Impact factor: 4.792

10.  Evolution of size distribution and transfer of mineral particles between flocs in activated sludges: an insight into floc exchange dynamics.

Authors:  V Chaignon; B S Lartiges; A El Samrani; C Mustin
Journal:  Water Res       Date:  2002-02       Impact factor: 11.236

View more
  7 in total

1.  Balance of neutral and deterministic components in the dynamics of activated sludge floc assembly.

Authors:  Joaquín M Ayarza; Leonardo Erijman
Journal:  Microb Ecol       Date:  2010-10-23       Impact factor: 4.552

2.  Shotgun Metagenomic Profiles Have a High Capacity To Discriminate Samples of Activated Sludge According to Wastewater Type.

Authors:  Federico M Ibarbalz; Esteban Orellana; Eva L M Figuerola; Leonardo Erijman
Journal:  Appl Environ Microbiol       Date:  2016-08-15       Impact factor: 4.792

3.  Direct Evidence for Deterministic Assembly of Bacterial Communities in Full-Scale Municipal Wastewater Treatment Facilities.

Authors:  Taegyu Kim; Sebastian Behrens; Timothy M LaPara
Journal:  Appl Environ Microbiol       Date:  2021-08-04       Impact factor: 4.792

4.  A preliminary and qualitative study of resource ratio theory to nitrifying lab-scale bioreactors.

Authors:  Micol Bellucci; Irina D Ofiţeru; Luciano Beneduce; David W Graham; Ian M Head; Thomas P Curtis
Journal:  Microb Biotechnol       Date:  2015-04-15       Impact factor: 5.813

5.  Functionally redundant but dissimilar microbial communities within biogas reactors treating maize silage in co-fermentation with sugar beet silage.

Authors:  Susanne G Langer; Sharif Ahmed; Daniel Einfalt; Frank R Bengelsdorf; Marian Kazda
Journal:  Microb Biotechnol       Date:  2015-07-22       Impact factor: 5.813

6.  The bias associated with amplicon sequencing does not affect the quantitative assessment of bacterial community dynamics.

Authors:  Federico M Ibarbalz; María Victoria Pérez; Eva L M Figuerola; Leonardo Erijman
Journal:  PLoS One       Date:  2014-06-12       Impact factor: 3.240

7.  Microbial Population Dynamics and Ecosystem Functions of Anoxic/Aerobic Granular Sludge in Sequencing Batch Reactors Operated at Different Organic Loading Rates.

Authors:  Enikö Szabó; Raquel Liébana; Malte Hermansson; Oskar Modin; Frank Persson; Britt-Marie Wilén
Journal:  Front Microbiol       Date:  2017-05-01       Impact factor: 5.640

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.