Cite as: Cold Spring Harb. Protoc.; 2009; doi:10.1101/pdb.prot5253

This Protocol
Right arrow Full Text
Right arrow Update/discuss this protocolDiscussion icon
Right arrow Alert me when this protocol is cited
Right arrow Alert me when comments are published
Right arrow Alert me if a correction is posted
Services
Right arrow Similar protocols in this database
Right arrow Similar articles in PubMed
Right arrow Alert me to new releases of protocols
Right arrow Save to Personal Folders
Right arrow Download to citation manager
Right arrow Printer-friendly versionPrinter-friendly version
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Daims, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Daims, H.
Related Collections
Right arrow Visualization
Right arrow Visualization, general
Right arrow Computational Biology
Right arrow Bacterial Genetics
Right arrow Imaging/Microscopy, general
Right arrow Fluorescence
Right arrow Fluorescence, general
Right arrow Image Analysis
Right arrow Bacteria
Right arrow Molecular Biology, general
Right arrow Probes
Right arrow Non-isotopically Labeled Probes
Right arrow Microbiology
Right arrow In Situ Hybridization
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

protocolProtocol

Use of Fluorescence In Situ Hybridization and the daime Image Analysis Program for the Cultivation-Independent Quantification of Microorganisms in Environmental and Medical Samples

Holger Daims

Department of Microbial Ecology, Vienna Ecology Centre, University of Vienna, A-1090 Vienna, Austria

Corresponding author (daims{at}microbial-ecology.net)


INTRODUCTION

Conventional cultivation-based methods to measure microbial abundance are unsuitable for quantifying uncultured microorganisms that constitute the majority of microbial life in most environmental or medical samples. This problem is solved by the quantification approach described here, which combines fluorescence in situ hybridization (FISH) with rRNA-targeted probes and digital image analysis. By measuring the areas of probe-labeled biomass in randomly recorded image pairs, an unbiased estimate of the relative biovolume of the population of interest can be obtained. This approach expresses abundance as "biovolume fraction" (relative to the total biovolume of the whole microbial community). This value equals the share of biochemical reaction space occupied by the quantified population and thus can be more relevant ecologically than absolute cell numbers (e.g., a few large cells can contain the same biovolume as many small cells). Another advantage lies in the complete independence of this method from the morphology of the quantified organisms. Regardless of whether the target microbes occur as single cells in plankton samples, as filaments, or as dense aggregates in biofilms, this cultivation-independent method allows the composition of complex microbial communities to be determined.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?