Minimal marker: an algorithm and computer program for the identification of minimal sets of discriminating DNA markers for efficient variety identification

• Published in: Journal of bioinformatics and computational biology Vol. 11; no. 2; p. 1250022
• Main Authors: Fujii, Hiroshi, Ogata, Tatsushi, Shimada, Takehiko, Endo, Tomoko, Iketani, Hiroyuki, Shimizu, Tokurou, Yamamoto, Toshiya, Omura, Mitsuo
• Format: Journal Article
• Language: English
• Published: Singapore 01.04.2013
• Subjects: Algorithms; Computational Biology; Databases, Nucleic Acid - statistics & numerical data; DNA, Plant - genetics; Fruit - classification; Fruit - genetics; Genes, Plant; Genetic Markers; Genotype; Japan; Microsatellite Repeats; Software; Species Specificity; Trees - classification; Trees - genetics; Japan
• ISSN: 1757-6334
• DOI: 10.1142/S0219720012500229

DNA markers are frequently used to analyze crop varieties, with the coded marker data summarized in a computer-generated table. Such summary tables often provide extraneous data about individual crop genotypes, needlessly complicating and prolonging DNA-based differentiation between crop varieties. At present, it is difficult to identify minimal marker sets--the smallest sets that can distinguish between all crop varieties listed in a marker-summary table--due to the absence of algorithms capable of such characterization. Here, we describe the development of just such an algorithm and MinimalMarker, its accompanying Perl-based computer program. MinimalMarker has been validated in variety identification of fruit trees using published datasets and is available for use with both dominant and co-dominant markers, regardless of the number of alleles, including SSR markers with numeric notation. We expect that this program will prove useful not only to genomics researchers but also to government agencies that use DNA markers to support a variety of food-inspection and -labeling regulations.