This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowReprints and Permissions
Right arrow Copyright Information
Right arrow Books from ASM Press
Right arrow MicrobeWorld
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ranjard, L.
Right arrow Articles by Nazaret, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ranjard, L.
Right arrow Articles by Nazaret, S.
Agricola
Right arrow Articles by Ranjard, L.
Right arrow Articles by Nazaret, S.

 Previous Article  |  Next Article 

Applied and Environmental Microbiology, October 2001, p. 4479-4487, Vol. 67, No. 10
0099-2240/01/$04.00+0   DOI: 10.1128/AEM.67.10.4479-4487.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.

Characterization of Bacterial and Fungal Soil Communities by Automated Ribosomal Intergenic Spacer Analysis Fingerprints: Biological and Methodological Variability

L. Ranjard,1 F. Poly,1 J.-C. Lata,1 C. Mougel,1,dagger J. Thioulouse,2 and S. Nazaret1,*

Laboratoire d'Ecologie Microbienne, UMR CNRS 5557,1 and Laboratoire de Biométrie, UMR CNRS 5558,2 Université Claude Bernard Lyon I, F-69622 Villeurbanne Cedex, France

Received 26 March 2001/Accepted 11 July 2001

Automated rRNA intergenic spacer analysis (ARISA) was used to characterise bacterial (B-ARISA) and fungal (F-ARISA) communities from different soil types. The 16S-23S intergenic spacer region from the bacterial rRNA operon was amplified from total soil community DNA for B-ARISA. Similarly, the two internal transcribed spacers and the 5.8S rRNA gene (ITS1-5.8S-ITS2) from the fungal rRNA operon were amplified from total soil community DNA for F-ARISA. Universal fluorescence-labeled primers were used for the PCRs, and fragments of between 200 and 1,200 bp were resolved on denaturing polyacrylamide gels by use of an automated sequencer with laser detection. Methodological (DNA extraction and PCR amplification) and biological (inter- and intrasite) variations were evaluated by comparing the number and intensity of peaks (bands) between electrophoregrams (profiles) and by multivariate analysis. Our results showed that ARISA is a high-resolution, highly reproducible technique and is a robust method for discriminating between microbial communities. To evaluate the potential biases in community description provided by ARISA, we also examined databases on length distribution of ribosomal intergenic spacers among bacteria (L. Ranjard, E. Brothier, and S. Nazaret, Appl. Environ. Microbiol. 66:5334-5339, 2000) and fungi.


* Corresponding author. Mailing address: UMR-CNRS 5557---Ecologie Microbienne, Université Claude Bernard Lyon I, Bât. 741, 4ème étage, 43 Bd. du 11 November 1918, F-69622 Villeurbanne Cedex, France. Phone: 33(4)72431324. Fax: 33(4)72431223. E-mail: nazaret{at}biomserv.univ-lyonl.fr.

dagger Present address: School of Biology, Georgia Institute of Technology, Atlanta, GA 30332-0230.


Applied and Environmental Microbiology, October 2001, p. 4479-4487, Vol. 67, No. 10
0099-2240/01/$04.00+0   DOI: 10.1128/AEM.67.10.4479-4487.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.



This article has been cited by other articles:

  • Ramette, A. (2009). Quantitative Community Fingerprinting Methods for Estimating the Abundance of Operational Taxonomic Units in Natural Microbial Communities. Appl. Environ. Microbiol. 75: 2495-2505 [Abstract] [Full Text]  
  • Havemann, S. A., Foster, J. S. (2008). Comparative Characterization of the Microbial Diversities of an Artificial Microbialite Model and a Natural Stromatolite. Appl. Environ. Microbiol. 74: 7410-7421 [Abstract] [Full Text]  
  • Gao, Z., Li, B., Zheng, C., Wang, G. (2008). Molecular Detection of Fungal Communities in the Hawaiian Marine Sponges Suberites zeteki and Mycale armata. Appl. Environ. Microbiol. 74: 6091-6101 [Abstract] [Full Text]  
  • Mills, D. K., Entry, J. A., Gillevet, P. M., Mathee, K. (2007). Assessing Microbial Community Diversity Using Amplicon Length Heterogeneity Polymerase Chain Reaction. Soil Sci. 71: 572-578 [Abstract] [Full Text]  
  • Martin, K. J. (2007). Introduction to Molecular Analysis of Ectomycorrhizal Communities. Soil Sci. 71: 601-610 [Abstract] [Full Text]  
  • Hunt, D. E., Klepac-Ceraj, V., Acinas, S. G., Gautier, C., Bertilsson, S., Polz, M. F. (2006). Evaluation of 23S rRNA PCR Primers for Use in Phylogenetic Studies of Bacterial Diversity.. Appl. Environ. Microbiol. 72: 2221-2225 [Abstract] [Full Text]  
  • Gault, A. G., Islam, F. S., Polya, D. A., Charnock, J. M., Boothman, C., Chatterjee, D., Lloyd, J. R. (2005). Microcosm depth profiles of arsenic release in a shallow aquifer, West Bengal. Mineral Mag 69: 855-863 [Abstract] [Full Text]  
  • Tuckwell, D. S., Nicholson, M. J., McSweeney, C. S., Theodorou, M. K., Brookman, J. L. (2005). The rapid assignment of ruminal fungi to presumptive genera using ITS1 and ITS2 RNA secondary structures to produce group-specific fingerprints. Microbiology 151: 1557-1567 [Abstract] [Full Text]  
  • Cardinale, M., Brusetti, L., Quatrini, P., Borin, S., Puglia, A. M., Rizzi, A., Zanardini, E., Sorlini, C., Corselli, C., Daffonchio, D. (2004). Comparison of Different Primer Sets for Use in Automated Ribosomal Intergenic Spacer Analysis of Complex Bacterial Communities. Appl. Environ. Microbiol. 70: 6147-6156 [Abstract] [Full Text]  
  • Jumpponen, A., Newsham, K. K., Neises, D. J. (2003). Filamentous ascomycetes inhabiting the rhizoid environment of the liverwort Cephaloziella varians in Antarctica are assessed by direct PCR and cloning. Mycologia 95: 457-466 [Abstract] [Full Text]