Mon, 07 Jul 2008 16:49:49 BST CiteULike: vrich arisa http://www.citeulike.org/user/vrich/tag/arisa CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/vrich/article/1913092 <i>Journal of Molecular Evolution, Vol. 65, No. 1. (July 2007), pp. 44-67.</i> Intragenomic Variation and Evolution of the Internal Transcribed Spacer of the rRNA Operon in Bacteria Stewart Frank Cavanaugh Colleen doi:10.1007/s00239-006-0235-3 Journal of Molecular Evolution, Vol. 65, No. 1. (July 2007), pp. 44-67. 2007-11-14T09:59:10-00:00 2007 Journal of Molecular Evolution 0022-2844 65 1 44 67 Springer 16srrna arisa genome_evolution its lh-pcr http://www.citeulike.org/user/vrich/article/275700 <i>Environmental Microbiology, Vol. 7, No. 9. (September 2005), pp. 1466-1479.</i> Coupling 16S-ITS rDNA clone libraries and automated ribosomal intergenic spacer analysis to show marine microbial diversity: development and application to a time series Mark Brown Michael Schwalbach Ian Hewson Jed Fuhrman doi:10.1111/j.1462-2920.2005.00835.x Environmental Microbiology, Vol. 7, No. 9. (September 2005), pp. 1466-1479. 2005-08-06T08:23:08-00:00 2005 Environmental Microbiology 1462-2912 7 9 1466 1479 Blackwell Publishing arisa time-series http://www.citeulike.org/user/vrich/article/2754772 <i>ISME J, Vol. 1, No. 1. (0000), pp. 38-47.</i> Synchrony in aquatic microbial community dynamics Angela Kent Anthony Yannarell James Rusak Eric Triplett Katherine Mcmahon doi:10.1038/ismej.2007.6 ISME J, Vol. 1, No. 1. (0000), pp. 38-47. 2008-05-05T01:00:41-00:00 0000 ISME J 1 1 38 47 arisa lter microbial-observatory time-series http://www.citeulike.org/user/vrich/article/2754339 <i>Appl. Environ. Microbiol., Vol. 65, No. 10. (1 October 1999), pp. 4630-4636.</i><br /><br />An automated method of ribosomal intergenic spacer analysis (ARISA) was developed for the rapid estimation of microbial diversity and community composition in freshwater environments. Following isolation of total community DNA, PCR amplification of the 16S-23S intergenic spacer region in the rRNA operon was performed with a fluorescence-labeled forward primer. ARISA-PCR fragments ranging in size from 400 to 1,200 bp were next discriminated and measured by using an automated electrophoresis system. Database information on the 16S-23S intergenic spacer was also examined, to understand the potential biases in diversity estimates provided by ARISA. In the analysis of three natural freshwater bacterial communities, ARISA was rapid and sensitive and provided highly reproducible community-specific profiles at all levels of replication tested. The ARISA profiles of the freshwater communities were quantitatively compared in terms of both their relative diversity and similarity level. The three communities had distinctly different profiles but were similar in their total number of fragments (range, 34 to 41). In addition, the pattern of major amplification products in representative profiles was not significantly altered when the PCR cycle number was reduced from 30 to 15, but the number of minor products (near the limit of detection) was sensitive to changes in cycling parameters. Overall, the results suggest that ARISA is a rapid and effective community analysis technique that can be used in conjunction with more accurate but labor-intensive methods (e.g., 16S rRNA gene cloning and sequencing) when fine-scale spatial and temporal resolution is needed. Automated Approach for Ribosomal Intergenic Spacer Analysis of Microbial Diversity and Its Application to Freshwater Bacterial Communities Madeline Fisher Eric Triplett Appl. Environ. Microbiol., Vol. 65, No. 10. (1 October 1999), pp. 4630-4636. 2008-05-04T18:18:15-00:00 1999 Appl. Environ. Microbiol. 65 10 4630 4636 arisa