Literature DB >> 21058662

Analysis of biostimulated microbial communities from two field experiments reveals temporal and spatial differences in proteome profiles.

Stephen J Callister1, Michael J Wilkins, Carrie D Nicora, Kenneth H Williams, Jillian F Banfield, Nathan C VerBerkmoes, Robert L Hettich, Lucie N'Guessan, Paula J Mouser, Hila Elifantz, Richard D Smith, Derek R Lovley, Mary S Lipton, Philip E Long.   

Abstract

Stimulated by an acetate-amendment field experiment conducted in 2007, anaerobic microbial populations in the aquifer at the Rifle Integrated Field Research Challenge site in Colorado reduced mobile U(VI) to insoluble U(IV). During this experiment, planktonic biomass was sampled at various time points to quantitatively evaluate proteomes. In 2008, an acetate-amended field experiment was again conducted in a similar manner to the 2007 experiment. As there was no comprehensive metagenome sequence available for use in proteomics analysis, we systematically evaluated 12 different organism genome sequences to generate sets of aggregate genomes, or "pseudo-metagenomes", for supplying relative quantitative peptide and protein identifications. Proteomics results support previous observations of the dominance of Geobacteraceae during biostimulation using acetate as sole electron donor, and revealed a shift from an early stage of iron reduction to a late stage of iron reduction. Additionally, a shift from iron reduction to sulfate reduction was indicated by changes in the contribution of proteome information contributed by different organism genome sequences within the aggregate set. In addition, the comparison of proteome measurements made between the 2007 field experiment and 2008 field experiment revealed differences in proteome profiles. These differences may be the result of alterations in abundance and population structure within the planktonic biomass samples collected for analysis.

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Year:  2010        PMID: 21058662     DOI: 10.1021/es101029f

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  20 in total

1.  Molecular analysis of the metabolic rates of discrete subsurface populations of sulfate reducers.

Authors:  M Miletto; K H Williams; A L N'Guessan; D R Lovley
Journal:  Appl Environ Microbiol       Date:  2011-07-15       Impact factor: 4.792

Review 2.  Insights from quantitative metaproteomics and protein-stable isotope probing into microbial ecology.

Authors:  Martin von Bergen; Nico Jehmlich; Martin Taubert; Carsten Vogt; Felipe Bastida; Florian-Alexander Herbst; Frank Schmidt; Hans-Hermann Richnow; Jana Seifert
Journal:  ISME J       Date:  2013-05-16       Impact factor: 10.302

Review 3.  Metagenomic applications in environmental monitoring and bioremediation.

Authors:  Stephen M Techtmann; Terry C Hazen
Journal:  J Ind Microbiol Biotechnol       Date:  2016-08-24       Impact factor: 3.346

4.  Functional environmental proteomics: elucidating the role of a c-type cytochrome abundant during uranium bioremediation.

Authors:  Jiae Yun; Nikhil S Malvankar; Toshiyuki Ueki; Derek R Lovley
Journal:  ISME J       Date:  2015-07-03       Impact factor: 10.302

5.  Monitoring the metabolic status of geobacter species in contaminated groundwater by quantifying key metabolic proteins with Geobacter-specific antibodies.

Authors:  Jiae Yun; Toshiyuki Ueki; Marzia Miletto; Derek R Lovley
Journal:  Appl Environ Microbiol       Date:  2011-05-06       Impact factor: 4.792

6.  Evaluation of a genome-scale in silico metabolic model for Geobacter metallireducens by using proteomic data from a field biostimulation experiment.

Authors:  Yilin Fang; Michael J Wilkins; Steven B Yabusaki; Mary S Lipton; Philip E Long
Journal:  Appl Environ Microbiol       Date:  2012-10-05       Impact factor: 4.792

7.  Prediction of microbial phenotypes based on comparative genomics.

Authors:  Roman Feldbauer; Frederik Schulz; Matthias Horn; Thomas Rattei
Journal:  BMC Bioinformatics       Date:  2015-10-02       Impact factor: 3.169

Review 8.  Metaproteomics: harnessing the power of high performance mass spectrometry to identify the suite of proteins that control metabolic activities in microbial communities.

Authors:  Robert L Hettich; Chongle Pan; Karuna Chourey; Richard J Giannone
Journal:  Anal Chem       Date:  2013-03-21       Impact factor: 6.986

9.  Insights into the structure and metabolic function of microbes that shape pelagic iron-rich aggregates ("iron snow").

Authors:  Shipeng Lu; Karuna Chourey; Marco Reiche; Sandor Nietzsche; Manesh B Shah; Thomas R Neu; Robert L Hettich; Kirsten Küsel
Journal:  Appl Environ Microbiol       Date:  2013-05-03       Impact factor: 4.792

10.  Biostimulation induces syntrophic interactions that impact C, S and N cycling in a sediment microbial community.

Authors:  Kim M Handley; Nathan C VerBerkmoes; Carl I Steefel; Kenneth H Williams; Itai Sharon; Christopher S Miller; Kyle R Frischkorn; Karuna Chourey; Brian C Thomas; Manesh B Shah; Philip E Long; Robert L Hettich; Jillian F Banfield
Journal:  ISME J       Date:  2012-11-29       Impact factor: 10.302

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