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United States Department of Agriculture

Agricultural Research Service


item Fritshel, S
item Dambaugh, T
item Stern, Norman
item Cray, Paula

Submitted to: American Society for Microbiology
Publication Type: Abstract Only
Publication Acceptance Date: 3/31/1999
Publication Date: N/A
Citation: Fritshel, S.J., Dambaugh, T.R., Stern, N.J., Cray, P.J. 1999. Interlaboratory comparison of automated ribotyping of salmonella using the riboprinter system. American Society for Microbiology. 24: C-51. P. 115.

Interpretive Summary:

Technical Abstract: The RiboPrinter(R) Microbial Characterization System (Qualicon, Inc.), an automated ribotyping instrument, has the automation to process high sample volumes in support of large scale typing studies. Two separate laboratories each ran the same set of 100 blind-coded Salmonella isolates consisting of 75 unique isolates from diverse sources covering 48 different serotypes. The additional 25 isolates consisted of duplicates of a randomly selected group of the 75 original isolates. The isolates were independently ribotyped (one replicate) with EcoRI on the RiboPrinter(R) system at each site and then the two data sets were merged electronically. The resulting merged data set contained 50 unique patterns. Ninety-four (94) of the one hundred samples grouped correctly with their labeled replicate from the other site. Of the twenty-five duplicated samples, twenty-two showed all four of the potential replicates falling into the same group. Of the three replicates that did not cluster with their respective replicate number, all showed three of the four possible replicates clustering and one outlier. These three outliers accounted for half of the samples that failed to group correctly with their replicate from the other site. This excellent grouping performance, coupled with the automated instrument's capability to type these one hundred isolates in less than one week, makes the RiboPrinter(R) system an attractive choice for the primary typing method for large epidemiological typing studies.

Last Modified: 10/17/2017
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