Linked Life Data

11571146

Source:http://linkedlifedata.com/resource/pubmed/id/11571146

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2001-9-25
pubmed:abstractText
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.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-10103273, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-10347051, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-10508099, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-10698754, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-10742258, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-10877790, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-11010882, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-11097911, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-8180733, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-8787391, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-8979355, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-9212415, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-9293013, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-9327549, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-9361420, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-9361437, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-9602286, http://linkedlifedata.com/resource/pubmed/commentcorrection/11571146-9687435
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0099-2240
pubmed:author
pubmed:issnType
Print
pubmed:volume
67
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4479-87
pubmed:dateRevised
2010-9-14
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Characterization of bacterial and fungal soil communities by automated ribosomal intergenic spacer analysis fingerprints: biological and methodological variability.
pubmed:affiliation
Laboratoire d'Ecologie Microbienne, UMR CNRS 5557, France.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't