4.8 Article

OLGenie: Estimating Natural Selection to Predict Functional Overlapping Genes

期刊

MOLECULAR BIOLOGY AND EVOLUTION
卷 37, 期 8, 页码 2440-2449

出版社

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msaa087

关键词

antisense protein (asp) gene; d(N)/d(S); gene prediction; genome annotation; human immunodeficiency virus-1; open reading frame; overlapping gene (OLG); purifying (negative) selection

资金

  1. Gerstner Family Foundation at the American Museum of Natural History
  2. Academia Sinica
  3. Bavarian State Government
  4. National Philanthropic Trust

向作者/读者索取更多资源

Purifying (negative) natural selection is a hallmark of functional biological sequences, and can be detected in protein-coding genes using the ratio of nonsynonymous to synonymous substitutions per site (d(N)/d(S)). However, when two genes overlap the same nucleotide sites in different frames, synonymous changes in one gene may be nonsynonymous in the other, perturbing d(N)/d(S). Thus, scalable methods are needed to estimate functional constraint specifically for overlapping genes (OLGs). We propose OLGenie, which implements a modification of the Wei-Zhang method. Assessment with simulations and controls from viral genomes (58 OLGs and 176 non-OLGs) demonstrates low false-positive rates and good discriminatory ability in differentiating true OLGs from non-OLGs. We also apply OLGenie to the unresolved case of HIV-1's putative antisense protein gene, showing significant purifying selection. OLGenie can be used to study known OLGs and to predict new OLGs in genome annotation.

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