Literature DB >> 12153585

Estimation of methanotroph abundance in a freshwater lake sediment.

Andria M Costello1, Ann J Auman, Jennifer L Macalady, Kate M Scow, Mary E Lidstrom.   

Abstract

The numbers of methane-oxidizing bacteria (methanotrophs) in the sediments of Lake Washington were estimated using three culture-independent methods. Quantitative slot-blot hybridizations were performed with type I and type II methanotroph-specific probes. These data were compared to data from quantitative hybridizations using a pmoA-specific probe and a eubacterial probe. From the combined hybridization data, the methanotroph population in Lake Washington was estimated to be 3.6 x 10(8)-7.4 x 10(8) cells/g dry weight. Methanotroph community structure and number were also investigated using polar lipid fatty acid (PLFA) analysis. Analysis of biomarker PLFAs characteristic of both type I (16:1 omega 8) and type II (18:1 omega 8) methanotrophs was used to estimate the abundance of these bacteria in Lake Washington sediments. From the PLFA data, the methanotroph population in Lake Washington was estimated to be 7.1 x 10(8)-9.4 x 10(9) cells/g dry weight. As a third method of quantitation, we calculated the methanotroph population using the total methane oxidation rate for whole cells in Lake Washington sediment to be 1.3 x 10(8)-1.2 x 10(9) cells/g dry weight. The three independent estimates of the number of methanotrophs in Lake Washington sediment agree within a two- to fourfold range. These data suggest that the three techniques used in this study detect the functionally significant population of methanotrophs in Lake Washington. Furthermore, these techniques will be useful for obtaining estimates of methanotroph abundance in additional environments.

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Year:  2002        PMID: 12153585     DOI: 10.1046/j.1462-2920.2002.00318.x

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  23 in total

1.  pmoA-based analysis of methanotrophs in a littoral lake sediment reveals a diverse and stable community in a dynamic environment.

Authors:  Michael Pester; Michael W Friedrich; Bernhard Schink; Andreas Brune
Journal:  Appl Environ Microbiol       Date:  2004-05       Impact factor: 4.792

2.  Respiration response imaging for real-time detection of microbial function at the single-cell level.

Authors:  M C Konopka; T J Strovas; David S Ojala; L Chistoserdova; M E Lidstrom; M G Kalyuzhnaya
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

3.  Spatio-temporal Variation of Sediment Methanotrophic Microorganisms in a Large Eutrophic Lake.

Authors:  Yuyin Yang; Qun Zhao; Yahui Cui; Yilin Wang; Shuguang Xie; Yong Liu
Journal:  Microb Ecol       Date:  2015-08-30       Impact factor: 4.552

4.  Bacterial populations active in metabolism of C1 compounds in the sediment of Lake Washington, a freshwater lake.

Authors:  Olivier Nercessian; Emma Noyes; Marina G Kalyuzhnaya; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  Appl Environ Microbiol       Date:  2005-11       Impact factor: 4.792

5.  Utility of environmental primers targeting ancient enzymes: methylotroph detection in Lake Washington.

Authors:  M G Kalyuzhnaya; M E Lidstrom; L Chistoserdova
Journal:  Microb Ecol       Date:  2004-10-14       Impact factor: 4.552

6.  Comparative analysis of bacterial diversity in freshwater sediment of a shallow eutrophic lake by molecular and improved cultivation-based techniques.

Authors:  Hideyuki Tamaki; Yuji Sekiguchi; Satoshi Hanada; Kazunori Nakamura; Nakao Nomura; Masatoshi Matsumura; Yoichi Kamagata
Journal:  Appl Environ Microbiol       Date:  2005-04       Impact factor: 4.792

7.  Highly divergent genes for methanopterin-linked C1 transfer reactions in Lake Washington, assessed via metagenomic analysis and mRNA detection.

Authors:  Marina G Kalyuzhnaya; Sarah Bowerman; Olivier Nercessian; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

8.  Fluorescence in situ hybridization-flow cytometry-cell sorting-based method for separation and enrichment of type I and type II methanotroph populations.

Authors:  Marina G Kalyuzhnaya; Rebecca Zabinsky; Sarah Bowerman; David R Baker; Mary E Lidstrom; Ludmila Chistoserdova
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

Review 9.  Molecular ecology techniques for the study of aerobic methanotrophs.

Authors:  Ian R McDonald; Levente Bodrossy; Yin Chen; J Colin Murrell
Journal:  Appl Environ Microbiol       Date:  2007-12-28       Impact factor: 4.792

10.  Abundance and activity of methanotrophic bacteria in littoral and profundal sediments of lake constance (Germany).

Authors:  M Rahalkar; J Deutzmann; B Schink; I Bussmann
Journal:  Appl Environ Microbiol       Date:  2008-11-07       Impact factor: 4.792

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