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Author(s)
The human genome is a complex, dynamic information
system that encodes principles of life and living systems. These
principles are incorporated in the structure of human genome sequence
variation and are foundational for the continuity of life and human
survival. Using first principles of thermodynamics and statistical
physics, we have developed analogous “genodynamic tools” for population
genomic studies. Characterizing genomic information through the lens of
physics has allowed us to develop energy measures for modeling
genome-environment interactions. In developing biophysical parameters
for genome-environment homeostasis, we found that stable genomic free
energy trades off low genomic energy (genomic conservation and increased
order) and high genomic entropy (genomic variation) with an
environmental potential that drives the variation. In our approach, we
assert that common variants are dynamic sites in the genome of a
population and that the stability of whole genome adaptation is
reflected in the frequencies of maintained diversity in common variants
for the population in its environment. In this paper, we address the
relativity of whole genome adaptation towards homeostasis. By this we
mean that adaptive forces are directly reflected in the frequency
distribution of alleles and/or haplotypes of the population relative to
its environment, with adaptive forces driving the genome towards
homeostasis. The use of genomic energy units as a biophysical metric in
DNA sequence variation analyses provides new insights into the
foundations of population biology and diversity. Using our biophysical
tools, population differences directly reflect the adaptive influences
of the environment on populations.
KEYWORDS
Cite this paper
Hercules, W. , Lindesay, J. , Mason, T. and
Dunston, G. (2014) Information Dynamics of Whole Genome Adaptation. Natural Science, 6, 1228-1231. doi: 10.4236/ns.2014.615110.
| [1] |
Eid, N.A., Hussein, A.A.,
Elzein, A.M., Mohamed, H.S., Rockett, K.A., Kwiatkowski, D.P. and
Ibrahim, M.E. (2010) Candidate Malaria Susceptibility/Protective SNPs in
Hospital and Population-Based Studies: The Effect of Sub-Structuring.
Malaria Journal, 9, 119. http://www.malariajournal.com/content/9/1/119 http://dx.doi.org/10.1186/1475-2875-9-119 |
| [2] |
Kwiatkowski, D.P. (2005) How
Malaria Has Affected the Human Genome and What Human Genetics Can Teach
Us about Malaria. The American Journal of Human Genetics, 77, 171-190. http://dx.doi.org/10.1086/432519 |
| [3] |
Modiano, D., Petrarca, V.,
Sirima, B.S., Nebie, I., Diallo, D., Esposito, F. and Coluzzi, M. (1996)
Different Response to Plasmodium falciparum Malaria in West African
Sympatric Ethnic Groups. Proceedings of the National Academy of Sciences
of the USA, 93, 13206-13211. http://dx.doi.org/10.1073/pnas.93.23.13206 |
| [4] |
Rihet, P., Traore, Y., Abel, L.,
Aucan, C., Leroux, T.T. and Fumoux, F. (1998) Malaria in Humans:
Plasmodium falciparum Blood Infection Levels Are Linked to Chromosome
5q31-q33. The American Journal of Human Genetics, 63, 498-505. http://dx.doi.org/10.1086/301967 |
| [5] |
Driss, A., Hibbert, J.M.,
Wilson, N.O., Iqbal, S.A., Adamkiewicz, T.V. and Stiles, J.K. (2011)
Genetic Polymorphisms Linked to Susceptibility to Malaria. Malaria
Journal, 10, 271. http://www.malariajournal.com/content/10/1/271 http://dx.doi.org/10.1186/1475-2875-10-271 eww141009lx |
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