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

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Ranjard, L., Poly, F., Lata, J.-C., Mougel, C., Thioulouse, J., Nazaret, S.·2001·Applied and Environmental Microbiology

Abstract

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.

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Metadata

Authors
Ranjard, L., Poly, F., Lata, J.-C., Mougel, C., Thioulouse, J., & Nazaret, S.
Venue
Applied and Environmental Microbiology
Published
2001-10
Volume
67
Issue
10
Pages
4479-4487
ISSN
  • 0099-2240 (ISSN-L)
  • 1098-5336
OpenAlex
W2142084851
Cited by
480
References
0
FWCI
11.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Characterization of Bacterial and Fungal Soil Communities by Automated Ribosomal Intergenic Spacer Analysis Fingerprints: Biological and Methodological Variability. https://app.cochat.ai/papers/10.1128/aem.67.10.4479-4487.2001
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Ranjard, L., Poly, F., Lata, J.-C., Mougel, C., Thioulouse, J., & Nazaret, S. (2001). Characterization of Bacterial and Fungal Soil Communities by Automated Ribosomal Intergenic Spacer Analysis Fingerprints: Biological and Methodological Variability. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.67.10.4479-4487.2001

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