Application of n-dimensional dot-matrix to analysis of plant genetic diversity

Andrzej Kasperski

A.Kasperski@wnb.uz.zgora.pl
Wydział Nauk Biologicznych, Katedra Biotechnologii, Uniwersytet Zielonogórski, ul. Szafrana 1 65-516 Zielona Góra (Poland)

Renata Kasperska


Instytut Inżynierii Bezpieczeństwa i Nauk o Pracy, Uniwersytet Zielonogórski, ul. Szafrana 4 65-516 Zielona Góra (Poland)

Abstract

The aim of this study is to present the possibilities of using a new method for genetic variability analysis of organisms, including organisms of industrial use. The proposed method works at two levels — at the amino-acid comparison level and at the amino-acid codon comparison level, i.e. at the genetic code level. The paper presents analysis of proteinase inhibitors from squash seeds and analysis of cytochrome c of selected crops. Moreover, the results obtained using the new method of genetic variability two-level analysis, have been used to interpret the phylogenetic trees constructed for the analyzed sequences.


Keywords:

n-dimensional dot-matrix, statistical evaluation of alignments, transversion, transition, genetic variation

Dereeper A., Guignon V., Blanc G., Audic S., Buffet S., Chevenet F., Dufayard J. F., Guindon S., Lefort V., Lescot M., Claverie J.M., Gascuel O. 2008. Phylogeny.fr: robust phylogenetic analysis for the non-specialist. Nucleic Acids Res. 36: 465 — 469.
Google Scholar

Hall B. 2008. Łatwe drzewa filogenetyczne. Wydawnictwa Uniwersytetu Warszawskiego, Warszawa.
Google Scholar

Higgs P. G., Attwood T. K. 2005. Bioinformatics and Molecular Evolution. Blackwell Publishing Company, Oxford.
Google Scholar

Janaszek M., Mańkowski D. R., Kozdój J. 2011. Sieci neuronowe typu MLP w prognozowaniu plonu jęczmienia jarego. Biul. IHAR 259: 93 — 112.
Google Scholar

Kasperski A., Kasperska R. 2012. A novel method of sequence similarity evaluation in n-dimensional sequence space. Curr. Bioinformatics 7: 295 — 303.
Google Scholar

Kasperski A., Kasperska R. 2014. Identification of protein family representatives. Curr. Bioinformatics 9: 414 — 425.
Google Scholar

Kasperski A., Sun K., Tian Y. 2016. New approach to control of the dissolved oxygen concentration in a biomass-driven self-cycling biochemical process. Chem. Eng. Commun. 203 (1): 75 — 93.
Google Scholar

Kuśka J., Leluk J., Lesyng B. 2005. Zmienność mutacyjna w homologicznych rodzinach kinaz. Bio-Algorithms and Med-Systems 1 (1/2): 125 — 128.
Google Scholar

Leluk J. 1998. A new algorithm for analysis of the homology in protein primary structure. Comput. Chem. 22 (1): 123 — 131.
Google Scholar

Leluk J. 2000 a. Serine proteinase inhibitor family in squash seeds: mutational variability mechanism and correlation. Cell. Biol. Mol. Lett. 5: 91 — 106.
Google Scholar

Leluk J. 2000 b. Regularities in mutational variability in selected protein families and the Markovian model of amino acid replacement. Comput. Chem. 24(1): 659 — 672.
Google Scholar

Leluk J., Hanus-Lorenz B., Sikorski A. F. 2001. Application of genetic semihomology algorithm to theoretical studies on various protein families. Acta Biochim. Pol. 48: 21 — 33.
Google Scholar

Leluk J., Konieczny L., Roterman I. 2003. Search for structural similarity in proteins. Bioinformatics 19: 117 — 124.
Google Scholar

Tamura K., Stecher G., Peterson D., Filipski A. i Kumar S. 2013. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol. Biol. Evol. 30: 2725 — 2729.
Google Scholar

Thompson J. D., Higgins D. G., Gibson T. J. 1994. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 22: 4673 — 4680.
Google Scholar

Xiong J. 2006. Essential Bioinformatics, Cambridge University Press.
Google Scholar


Published
2015-06-30

Cited by

Kasperski, A. and Kasperska, R. (2015) “Application of n-dimensional dot-matrix to analysis of plant genetic diversity”, Bulletin of Plant Breeding and Acclimatization Institute, (276), pp. 69–83. doi: 10.37317/biul-2015-0020.

Authors

Andrzej Kasperski 
A.Kasperski@wnb.uz.zgora.pl
Wydział Nauk Biologicznych, Katedra Biotechnologii, Uniwersytet Zielonogórski, ul. Szafrana 1 65-516 Zielona Góra Poland

Authors

Renata Kasperska 

Instytut Inżynierii Bezpieczeństwa i Nauk o Pracy, Uniwersytet Zielonogórski, ul. Szafrana 4 65-516 Zielona Góra Poland

Statistics

Abstract views: 134
PDF downloads: 53


License

Copyright (c) 2015 Andrzej Kasperski, Renata Kasperska

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Upon submitting the article, the Authors grant the Publisher a non-exclusive and free license to use the article for an indefinite period of time throughout the world in the following fields of use:

  1. Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
  2. Placing on the market, lending or renting the original or copies of the article.
  3. Public performance, exhibition, display, reproduction, broadcasting and re-broadcasting, as well as making the article publicly available in such a way that everyone can access it at a place and time of their choice.
  4. Including the article in a collective work.
  5. Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
  6. Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
  7. Making the article available in an electronic version in such a way that everyone can access it at a place and time of their choice, in particular via the Internet.

Authors by sending a request for publication:

  1. They consent to the publication of the article in the journal,
  2. They agree to give the publication a DOI (Digital Object Identifier),
  3. They undertake to comply with the publishing house's code of ethics in accordance with the guidelines of the Committee on Publication Ethics (COPE), (http://ihar.edu.pl/biblioteka_i_wydawnictwa.php),
  4. They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
  5. They agree to send article metadata to commercial and non-commercial journal indexing databases.