Application of automated DNA sizing technology for genotyping microsatellite loci

Janet S. Ziegle, Ying Su, Kevin P. Corcoran, Li Nie, P. Eric Mayrand, Louis B. Hoff, Lincoln J. McBride, Mel N. Kronick, Scott R. Diehl

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Highly polymorphic microsatellite loci offer great promise for gene mapping studies, but fulfillment of this potential will require substantial improvements in methods for accurate and efficient genotyping. Here, we report a genotyping method based on fluorescently labeled PCR primers and size characterization of PCR products using an automated DNA fragment analyzer. We capitalize on the availability of three distinct fluorescent dyes to label uniquely loci that overlap in size, and this innovation increases by threefold the number of loci that can be analyzed simultaneously. We label size standards with a fourth dye and combine these with the microsatellite PCR products in each gel lane. Computer programs provide very rapid and accurate sizing of microsatellite alleles and efficient data management. In addition, fluorescence signals are linear over a much greater range of intensity than conventional autoradiography. This facilitates multiplexing of loci (since signal intensities often vary greatly) and helps distinguish major peaks from artifacts, thereby improving genotyping accuracy.

Original languageEnglish (US)
Pages (from-to)1026-1031
Number of pages6
JournalGenomics
Volume14
Issue number4
DOIs
StatePublished - Dec 1992
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Genetics

Fingerprint

Dive into the research topics of 'Application of automated DNA sizing technology for genotyping microsatellite loci'. Together they form a unique fingerprint.

Cite this