Literature DB >> 23600813

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

Hiroshi Fujii1, Tatsushi Ogata, Takehiko Shimada, Tomoko Endo, Hiroyuki Iketani, Tokurou Shimizu, Toshiya Yamamoto, Mitsuo Omura.   

Abstract

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.

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Year:  2012        PMID: 23600813     DOI: 10.1142/S0219720012500229

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  13 in total

1.  Two fingerprinting sets for Humulus lupulus based on KASP and microsatellite markers.

Authors:  Mandie Driskill; Katie Pardee; Kim E Hummer; Jason D Zurn; Keenan Amundsen; Annette Wiles; Claudia Wiedow; Josef Patzak; John A Henning; Nahla V Bassil
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.752

2.  Simple SNP-based minimal marker genotyping for Humulus lupulus L. identification and variety validation.

Authors:  John A Henning; Jamie Coggins; Matthew Peterson
Journal:  BMC Res Notes       Date:  2015-10-06

3.  TaqMan-MGB SNP genotyping assay to identify 48 citrus cultivars distributed in the Japanese market.

Authors:  Tomoko Endo; Hiroshi Fujii; Terutaka Yoshioka; Mitsuo Omura; Takehiko Shimada
Journal:  Breed Sci       Date:  2020-05-30       Impact factor: 2.086

4.  SSR markers developed using next-generation sequencing technology in pineapple, Ananas comosus (L.) Merr.

Authors:  Kenji Nashima; Fumiko Hosaka; Shingo Terakami; Miyuki Kunihisa; Chikako Nishitani; Chie Moromizato; Makoto Takeuchi; Moriyuki Shoda; Kazuhiko Tarora; Naoya Urasaki; Toshiya Yamamoto
Journal:  Breed Sci       Date:  2020-05-30       Impact factor: 2.086

5.  Development of model web-server for crop variety identification using throughput SNP genotyping data.

Authors:  Rajender Singh; M A Iquebal; C N Mishra; Sarika Jaiswal; Deepender Kumar; Nishu Raghav; Surinder Paul; Sonia Sheoran; Pradeep Sharma; Arun Gupta; Vinod Tiwari; U B Angadi; Neeraj Kumar; Anil Rai; G P Singh; Dinesh Kumar; Ratan Tiwari
Journal:  Sci Rep       Date:  2019-03-26       Impact factor: 4.379

6.  Genetic diversity and relatedness of mango cultivars assessed by SSR markers.

Authors:  Shinsuke Yamanaka; Fumiko Hosaka; Masato Matsumura; Yuko Onoue-Makishi; Kenji Nashima; Naoya Urasaki; Tatsushi Ogata; Moriyuki Shoda; Toshiya Yamamoto
Journal:  Breed Sci       Date:  2019-05-28       Impact factor: 2.086

7.  SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice.

Authors:  Jun Yan; Dong Zou; Chen Li; Zhang Zhang; Shuhui Song; Xiangfeng Wang
Journal:  Genomics Proteomics Bioinformatics       Date:  2020-06-30       Impact factor: 7.691

8.  Development of cultivar-specific DNA markers based on retrotransposon-based insertional polymorphism in Japanese pear.

Authors:  Hoytaek Kim; Shingo Terakami; Chikako Nishitani; Kanako Kurita; Hiroyuki Kanamori; Yuichi Katayose; Yutaka Sawamura; Toshihiro Saito; Toshiya Yamamoto
Journal:  Breed Sci       Date:  2012-03-20       Impact factor: 2.086

9.  DNA profiling of pineapple cultivars in Japan discriminated by SSR markers.

Authors:  Moriyuki Shoda; Naoya Urasaki; Sumisu Sakiyama; Shingo Terakami; Fumiko Hosaka; Narumi Shigeta; Chikako Nishitani; Toshiya Yamamoto
Journal:  Breed Sci       Date:  2012-12-01       Impact factor: 2.086

Review 10.  Citrus breeding, genetics and genomics in Japan.

Authors:  Mitsuo Omura; Takehiko Shimada
Journal:  Breed Sci       Date:  2016-01-01       Impact factor: 2.086

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