Universal evolutionary selection for high dimensional silent patterns of information hidden in the redundancy of viral genetic code.

ABSTRACT: Motivation:Understanding how viruses co-evolve with their hosts and adapt various genomic level strategies in order to ensure their fitness may have essential implications in unveiling the secrets of viral evolution, and in developing new vaccines and therapeutic approaches. Here, based on a novel genomic analysis of 2625 different viruses and 439 corresponding host organisms, we provide evidence of universal evolutionary selection for high dimensional 'silent' patterns of information hidden in the redundancy of viral genetic code. Results:Our model suggests that long substrings of nucleotides in the coding regions of viruses from all classes, often also repeat in the corresponding viral hosts from all domains of life. Selection for these substrings cannot be explained only by such phenome

SUBMITTER: Goz E 

PROVIDER: S-EPMC7109696 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature