Literature DB >> 11167011

Species-identification dots: a potent tool for developing genome microbiology.

M Naimuddin1, T Kurazono, Y Zhang, T Watanabe, M Yamaguchi, K Nishigaki.   

Abstract

Identification of species has long been done by phenotype-based methodologies. Recently, genotype-based species identification has been shown to be possible by way of Genome profiling, which is based on a temperature gradient gel electrophoresis (TGGE) analysis of random PCR products. However, the results, though sufficient in information, provided by genome profiling were complicated and difficult to deal with objectively. To cope with this, a technology of utilizing species identification dots (spiddos), which corresponds to structural transition points of DNAs, was introduced. Pattern similarity score (PaSS), derived from spiddos, was shown to be usable for quantitatively measuring the closeness between genomes. This was demonstrated with the experiments applied to the genomes of Escherichia coli O157:H7 (19 strains). The same genomes were also examined by sequencing and RFLP methods in order to compare the effectiveness of these three methods. As a result, the spiddos method was shown to give reasonable results and to be the most advantageous for measuring the closeness between species in general. This means that spiddos is pushing the heavy gate open for genome microbiology.

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Year:  2000        PMID: 11167011     DOI: 10.1016/s0378-1119(00)00502-3

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  11 in total

1.  Commonly conserved genetic fragments revealed by genome profiling can serve as tracers of evolution.

Authors:  Mohammed Naimuddin; Takayuki Kurazono; Koichi Nishigaki
Journal:  Nucleic Acids Res       Date:  2002-05-15       Impact factor: 16.971

2.  Rapid discrimination of Listeria monocytogenes strains by microtemperature gradient gel electrophoresis.

Authors:  Tatsuya Tominaga
Journal:  J Clin Microbiol       Date:  2006-06       Impact factor: 5.948

3.  Genome profiling (GP) method based classification of insects: congruence with that of classical phenotype-based one.

Authors:  Shamim Ahmed; Manabu Komori; Sachika Tsuji-Ueno; Miho Suzuki; Akinori Kosaku; Kiyoshi Miyamoto; Koichi Nishigaki
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

4.  Acquisition of genome information from single-celled unculturable organisms (radiolaria) by exploiting genome profiling (GP).

Authors:  Mariko Kouduka; Atsushi Matuoka; Koichi Nishigaki
Journal:  BMC Genomics       Date:  2006-06-02       Impact factor: 3.969

5.  A database for the provisional identification of species using only genotypes: web-based genome profiling.

Authors:  Takehiro Watanabe; Ayumu Saito; Yusuke Takeuchi; Mohammed Naimuddin; Koichi Nishigaki
Journal:  Genome Biol       Date:  2002-01-28       Impact factor: 13.583

6.  Establishment of a reborn MMV-microarray technology: realization of microbiome analysis and other hitherto inaccessible technologies.

Authors:  Harshita Sharma; Yasunori Kinoshita; Seiichi Fujiu; Shota Nomura; Mizuho Sawada; Shamim Ahmed; Masaki Shibuya; Kosaku Shirai; Syota Takamatsu; Tsuyoshi Watanabe; Hitoshi Yamazaki; Ryohei Kamiyama; Tetsuya Kobayashi; Hidenao Arai; Miho Suzuki; Naoto Nemoto; Ki Ando; Hidekazu Uchida; Koichiro Kitamura; Osamu Takei; Koichi Nishigaki
Journal:  BMC Biotechnol       Date:  2014-08-21       Impact factor: 2.563

7.  Detection of Human Polyomavirus DNA Using the Genome Profiling Method.

Authors:  Yuka Tanaka; Rieko Hirata; Kyohei Mashita; Stuart Mclean; Hiroshi Ikegaya
Journal:  Open Virol J       Date:  2015-11-24

8.  A solution for universal classification of species based on genomic DNA.

Authors:  Mariko Kouduka; Daisuke Sato; Manabu Komori; Motohiro Kikuchi; Kiyoshi Miyamoto; Akinori Kosaku; Mohammed Naimuddin; Atsushi Matsuoka; Koichi Nishigaki
Journal:  Int J Plant Genomics       Date:  2007

9.  Systematic genome sequence differences among leaf cells within individual trees.

Authors:  Deepti Diwan; Shun Komazaki; Miho Suzuki; Naoto Nemoto; Takuyo Aita; Akiko Satake; Koichi Nishigaki
Journal:  BMC Genomics       Date:  2014-02-19       Impact factor: 3.969

10.  Familial clustering of mice consistent to known pedigrees enabled by the genome profiling (GP) method.

Authors:  Harshita Sharma; Fumihito Ohtani; Parmila Kumari; Deepti Diwan; Naoko Ohara; Tetsuya Kobayashi; Miho Suzuki; Naoto Nemoto; Yoshibumi Matsushima; Koichi Nishigaki
Journal:  Biophysics (Nagoya-shi)       Date:  2014-09-06
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