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  • Poster presentation
  • Open Access

L-Systems: a mathematical paradigm for designing full length human genes and genomes

  • 1,
  • 2,
  • 3,
  • 1 and
  • 2
Genome Biology201011 (Suppl 1) :P15

https://doi.org/10.1186/gb-2010-11-s1-p15

  • Published:

Keywords

  • Mitochondrial Genome
  • Human Gene
  • Chemical Constituent
  • Automate Method
  • Olfactory Receptor

We have shown how L-Systems can generate both an exon (human OR) and a system containing both exons and introns (human mitochondria). Ligands for only two human olfactory (OR) receptors are known. One of them, OR1D2, binds to Bourgeonal, a volatile chemical constituent of the fragrance Lily of the valley (Convallaria majalis). OR1D2, OR1D4 and OR1D5 are three full- length olfactory receptors present in an olfactory locus in human genome. These receptors are more than 80% identical in DNA sequences and have 108 base pair mismatches among them. We have used L-system mathematics to show a closely related subfamily of OR1D2, OR1D4 and OR1D5. Craig Venter's group reported experimental construction of long DNA molecules adopting several working hypotheses. A mathematical rule for generating such long sequences would shed light on several fundamental problems in various areas of biology, for example evolution of long DNA chains in chromosomes, the reasons for existence of long stretches of non-coding regions, as well as usher in automated methods for the preparation of long DNA chains to enable chromosome engineering. However, this mathematical principle must have room for editing/correcting DNA sequences locally in the areas of genomes where mutation and/or DNA polymerase has introduced errors over millions of years of evolution. Here we present the whole mitochondrial genome (exons and introns) generated by the L-Systems.

Authors’ Affiliations

(1)
Biological Sciences Division, Indian Statistical Institute, 203 B. T. Road, Calcutta, 700108, India
(2)
Applied Statistics Unit, Indian Statistical Institute, 203 B. T.Road, Calcutta, 700108, India
(3)
Bayesian Interdisciplinary Research Unit (BIRU), Indian Statistical Institute, 203 B. T. Road, Calcutta, 700108, India

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