title: Is life impossible? Information, sex, and the origin of complex organisms.
abstract: The earliest organisms are thought to have had high mutation rates. It has been asserted that these high mutation rates would have severely limited the information content of early genomes. This has led to a well-known “paradox” because, in contemporary organisms, the mechanisms that suppress mutations are quite complex and a substantial amount of information is required to construct these mechanisms. The paradox arises because it is not clear how efficient error-suppressing mechanisms could have evolved, and thus allowed the evolution of complex organisms, at a time when mutation rates were too high to permit the maintenance of very substantial amounts of information within genomes. Here, we use concepts from the formal theory of information to calculate the amount of genomic information that can be maintained. We identify conditions under which much higher levels of genomic information can be maintained than previously considered possible among origin-of-life researchers. In particular, we find that the highest levels of information are maintained when many genotypes produce identical phenotypes, and when reproduction occasionally involves recombination between multiple parental genomes. There is a good reason to believe that these conditions are relevant for very early organisms, and thus the results presented may provide a solution to a long-standing logical problem associated with the early evolution of life.
authors.affiliation: School of Life Sciences, The University of Sussex, Brighton BN1 9QG, United Kingdom. J.R.Peck@sussex.ac.uk
authors.forename: Joel R
authors.initials: JR
authors.lastname: Peck
authors.forename: David
authors.initials: D
authors.lastname: Waxman
mesh_terms: D000222:Adaptation, Physiological; D000483:Alleles; D000818:Animals; D003198:Computer Simulation; D004843:Epistasis, Genetic; D019143:Evolution, Molecular; D005260:Female; D005828:Genetics, Population; D016678:Genome; D008297:Male; D008957:Models, Genetic; D009154:Mutation; D010641:Phenotype; D011157:Population Dynamics; D012098:Reproduction; D012737:Sex Factors