Literature DB >> 12000847

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

Mohammed Naimuddin1, Takayuki Kurazono, Koichi Nishigaki.   

Abstract

We developed a method to produce, identify and analyze DNA fragments for the purpose of taxonomic classification. Genome profiling (GP) is a strategy that identifies genomic DNA fragments common to closely related species without prior knowledge of the DNA sequence. Random PCR, one of the key technologies of GP, is used to produce fragments and may be used even when there are mutations at the priming site. These fragments can then be distinguished based on the information of mobility and melting pattern when subjected to temperature gradient gel electrophoresis (TGGE). Corresponding fragments among several species, designated as commonly conserved genetic fragments (CCGFs), likely have the same genetic origin or correspond to the same gene. The criteria for identification of CCGFs has been defined and presented here. To assess this prediction, some of the fragments were sequenced and were confirmed to be CCGFs. We show that genome profiles bearing evolutionarily conserved CCGFs can be used to classify organisms and trace evolutionary pathways, among other profound applications.

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Substances:

Year:  2002        PMID: 12000847      PMCID: PMC115296          DOI: 10.1093/nar/30.10.e42

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  22 in total

1.  Whole genome sequence-enabled prediction of sequences performed for random PCR products of Escherichia coli.

Authors:  K Nishigaki; A Saito; H Takashi; M Naimuddin
Journal:  Nucleic Acids Res       Date:  2000-05-01       Impact factor: 16.971

2.  Genome profiling: a realistic solution for genotype-based identification of species.

Authors:  K Nishigaki; M Naimuddin; K Hamano
Journal:  J Biochem       Date:  2000-07       Impact factor: 3.387

3.  Sequence diversity of intervening sequences (IVSs) in the 23S ribosomal RNA in Salmonella spp.

Authors:  K Pabbaraju; K E Sanderson
Journal:  Gene       Date:  2000-07-25       Impact factor: 3.688

4.  Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya.

Authors:  C R Woese; O Kandler; M L Wheelis
Journal:  Proc Natl Acad Sci U S A       Date:  1990-06       Impact factor: 11.205

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

Authors:  M Naimuddin; T Kurazono; Y Zhang; T Watanabe; M Yamaguchi; K Nishigaki
Journal:  Gene       Date:  2000-12-31       Impact factor: 3.688

6.  Genetic distance and electrophoretic identity of proteins between taxa.

Authors:  M Nei; R Chakraborty
Journal:  J Mol Evol       Date:  1973-11-27       Impact factor: 2.395

7.  Accuracy of estimated phylogenetic trees from molecular data. I. Distantly related species.

Authors:  Y Tateno; M Nei; F Tajima
Journal:  J Mol Evol       Date:  1982       Impact factor: 2.395

8.  Descent of mammalian alpha globin chain sequences investigated by the maximum parsimony method.

Authors:  J Barnabas; M Goodman; G W Moore
Journal:  J Mol Biol       Date:  1972-08-21       Impact factor: 5.469

9.  Multiple independent origins of Shigella clones of Escherichia coli and convergent evolution of many of their characteristics.

Authors:  G M Pupo; R Lan; P R Reeves
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-12       Impact factor: 11.205

10.  Parallel evolution of virulence in pathogenic Escherichia coli.

Authors:  S D Reid; C J Herbelin; A C Bumbaugh; R K Selander; T S Whittam
Journal:  Nature       Date:  2000-07-06       Impact factor: 49.962

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  7 in total

1.  Isolation and characterization of novel denitrifying alkalithermophiles, AT-1 and AT-2.

Authors:  Mami Yamamoto; Akihiro Ishii; Yuichi Nogi; Akira Inoue; Masahiro Ito
Journal:  Extremophiles       Date:  2006-04-13       Impact factor: 2.395

2.  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

3.  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

4.  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

5.  The genome profiling method can be applied for species identification of biological materials collected at crime scenes.

Authors:  Takako Kinebuchi; Nozomi Idota; Hajime Tsuboi; Marin Takaso; Risa Bando; Hiroshi Ikegaya
Journal:  BMC Genet       Date:  2019-06-10       Impact factor: 2.797

6.  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

7.  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
  7 in total

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