Functional Segregation of Overlapping Genes in HIV
Author(s) -
Jason D. Fernandes,
T.B. Faust,
Nicolas Strauli,
Cynthia L. Smith,
David C. Crosby,
Robert L. Nakamura,
Ryan D. Hernandez,
Alan D. Frankel
Publication year - 2016
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2016.11.031
Subject(s) - biology , gene , constraint (computer aided design) , genetics , selection (genetic algorithm) , encode , population , computational biology , sequence (biology) , genetic fitness , human immunodeficiency virus (hiv) , positive selection , evolutionary biology , artificial intelligence , computer science , mechanical engineering , demography , sociology , engineering , immunology
Overlapping genes pose an evolutionary dilemma as one DNA sequence evolves under the selection pressures of multiple proteins. Here, we perform systematic statistical and mutational analyses of the overlapping HIV-1 genes tat and rev and engineer exhaustive libraries of non-overlapped viruses to perform deep mutational scanning of each gene independently. We find a "segregated" organization in which overlapped sites encode functional residues of one gene or the other, but never both. Furthermore, this organization eliminates unfit genotypes, providing a fitness advantage to the population. Our comprehensive analysis reveals the extraordinary manner in which HIV minimizes the constraint of overlapping genes and repurposes that constraint to its own advantage. Thus, overlaps are not just consequences of evolutionary constraints, but rather can provide population fitness advantages.
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