Abstract
DNA and amino acid sequences are alphabetic symbols having no underlying metric. Use of information theory is one of the solutions for sequence metric problems. The reflection of DNA sequence complexity in phenotype stability might be useful for crop improvement. Shannon-Weaver index (Shannon Entropy, H') and mutual information (MI) index were estimated from DNA sequences of 22 genes, consisted of two gene families of tomato, namely disease resistance and fruit quality. Main objective was use of information theory and multivariate techniques to understand diversity among genes and relate the sequence complexity with phenotypes. The normalized H' value ranged from 0.429 to 0.461. The highest diversity was observed in the gene Crtr-B (beta carotene hydroxylase). Two principal components which accounted for 36.65% variation placed these genes into four groups. Groupings of these genes by both principal component and cluster analyses showed clearly the similarity at phenotypes levels within cluster. Sequences similarity among genes was observed within a family. Diversity assessment of genes applying information theory should link to understand the sequences complexity with respect to gene stability for example stability of resistance gene.Key words: Diversity analysis; DNA sequences; principal component analysis; tomato genesNepal Journal of Biotechnology, 2011, Vol. 1, No. 1 pp.1-9
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
