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Overlapping genes originate by a mechanism of overprinting, in which nucleotide substitutions in a pre-existing frame induce the expression of a de novo protein from an alternative frame. In this study, I assembled a dataset of 319 viral overlapping genes, which included 82 overlaps whose expression is experimentally known and the respective 237 homologs. Principal component analysis revealed that overlapping genes have a common pattern of nucleotide and amino acid composition. Discriminant analysis separated overlapping from non-overlapping genes with an accuracy of 97%. When applied to overlapping genes with known genealogy, it separated ancestral from de novo frames with an accuracy close to 100%. This high discriminant power was crucial to computationally design variants of de novo viral proteins known to possess selective anticancer toxicity (apoptin) or protection against neurodegeneration (X protein), as well as to detect two new potential overlapping genes in the genome of the new coronavirus SARS-CoV-2., Competing Interests: Declaration of competing interest None., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Overlapping genes represent an intriguing puzzle, as they encode two proteins whose ability to evolve is constrained by each other. Overlapping genes can undergo "symmetric evolution" (similar selection pressures on the two proteins) or "asymmetric evolution" (significantly different selection pressures on the two proteins). By sequence analysis of 75 pairs of homologous viral overlapping genes, I evaluated their accordance with one or the other model. Analysis of nucleotide and amino acid sequences revealed that half of overlaps undergo asymmetric evolution, as the protein from one frame shows a number of substitutions significantly higher than that of the protein from the other frame. Interestingly, the most variable protein (often known to interact with the host proteins) appeared to be encoded by the de novo frame in all cases examined. These findings suggest that overlapping genes, besides to increase the coding ability of viruses, are also a source of selective protein adaptation., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Overlapping genes represent a fascinating evolutionary puzzle, since they encode two functionally unrelated proteins from the same DNA sequence. They originate by a mechanism of overprinting, in which point mutations in an existing frame allow the expression (the "birth") of a completely new protein from a second frame. In viruses, in which overlapping genes are abundant, these new proteins often play a critical role in infection, yet they are frequently overlooked during genome annotation. This results in erroneous interpretation of mutational studies and in a significant waste of resources. Therefore, overlapping genes need to be correctly detected, especially since they are now thought to be abundant also in eukaryotes. Developing better detection methods and conducting systematic evolutionary studies require a large, reliable benchmark dataset of known cases. We thus assembled a high-quality dataset of 80 viral overlapping genes whose expression is experimentally proven. Many of them were not present in databases. We found that overall, overlapping genes differ significantly from non-overlapping genes in their nucleotide and amino acid composition. In particular, the proteins they encode are enriched in high-degeneracy amino acids and depleted in low-degeneracy ones, which may alleviate the evolutionary constraints acting on overlapping genes. Principal component analysis revealed that the vast majority of overlapping genes follow a similar composition bias, despite their heterogeneity in length and function. Six proven mammalian overlapping genes also followed this bias. We propose that this apparently near-universal composition bias may either favour the birth of overlapping genes, or/and result from selection pressure acting on them., Competing Interests: The authors have declared that no competing interests exist.

The polymerase (P) and surface (S) genes of hepatitis B virus (HBV) show the longest gene overlap in animal viruses. Gene overlaps originate by the overprinting of a novel frame onto an ancestral pre-existing frame. Identifying which frame is ancestral and which frame is de novo (the genealogy of the overlap) is an appealing topic. However, the P/S overlap of HBV is an intriguing paradox, because both genes are indispensable for virus survival. Thus, the hypothesis of a primordial virus without the surface protein or without the polymerase makes no biological sense. With the aim to determine the genealogy of the overlap, the codon usage of the overlapping frames P and S was compared to that of the non-overlapping region. It was found that the overlap of human HBV had two patterns of codon usage. One was localized in the 59 one-third of the overlap and the other in the 39 two-thirds. By extending the analysis to non-human HBVs, it was found that this feature occurred in all hepadnaviruses. Under the assumption that the ancestral frame has a codon usage significantly closer to that of the non-overlapping region than the de novo frame, the ancestral frames in the 59 and 39 region of the overlap could be predicted. They were, respectively, frame S and frame P. These results suggest that the spacer domain of the polymerase and the S domain of the surface protein originated de novo by overprinting. They support a modular evolution hypothesis for the origin of the overlap.

A well-known mechanism through which new protein-coding genes originate is by modification of pre-existing genes, e.g. by duplication or horizontal transfer. In contrast, many viruses generate protein-coding genes de novo, via the overprinting of a new reading frame onto an existing ("ancestral") frame. This mechanism is thought to play an important role in viral pathogenicity, but has been poorly explored, perhaps because identifying the de novo frames is very challenging. Therefore, a new approach to detect them was needed. We assembled a reference set of overlapping genes for which we could reliably determine the ancestral frames, and found that their codon usage was significantly closer to that of the rest of the viral genome than the codon usage of de novo frames. Based on this observation, we designed a method that allowed the identification of de novo frames based on their codon usage with a very good specificity, but intermediate sensitivity. Using our method, we predicted that the Rex gene of deltaretroviruses has originated de novo by overprinting the Tax gene. Intriguingly, several genes in the same genomic region have also originated de novo and encode proteins that regulate the functions of Tax. Such "gene nurseries" may be common in viral genomes. Finally, our results confirm that the genomic GC content is not the only determinant of codon usage in viruses and suggest that a constraint linked to translation must influence codon usage.

The possibility of creating novel genes from pre-existing sequences, known as overprinting, is a widespread phenomenon in small viruses. Here, the origin and evolution of gene overlap in the bacteriophages belonging to the family Microviridae have been investigated. The distinction between ancestral and derived frames was carried out by comparing the patterns of codon usage in overlapping and non-overlapping genes. By this approach, a gradual increase in complexity of the phage genome--from an ancestral state lacking gene overlap to a derived state with a high density of genetic information--was inferred. Genes encoding less-essential proteins, yet playing a role in phage growth and diffusion, were predicted to be novel genes that originated by overprinting. Evaluation of the rates of synonymous and non-synonymous substitution yielded evidence for overlapping genes under positive selection in one frame and purifying selection in the alternative frame.

The polyomavirus JC (JCV) is a double-stranded DNA virus that is ubiquitous in human populations and is excreted in urine by a large percentage of individuals (20-70%). The strong genetic stability, combined with a mechanism of transmission mainly within the family, makes JCV a good marker of human migrations. In this study, the coevolution of JCV with its human host is investigated by using over a thousand nucleotide sequences deposited in the EMBL database; they correspond to the IG region, which is the genomic region with the highest rate of variation. The pattern of genetic diversity in JCV is evaluated by the principal coordinates analysis and the construction of synthetic maps. The first principal coordinate supports the existence of two distinct virus lineages, both arising from the ancestral African type. The first synthetic map suggests a two-migration model of the human dispersal out of Africa, thus implying a more complex picture than that known from human genes. The second principal coordinate points out the distinctiveness of strains coming from Asian/Amerind populations. The picture yielded by the second synthetic map appears to be more consistent with that known from human genes. In fact, it provides evidence of a deep split of the Asian lineage of JCV into two main branches: one diffusing in Japan and Americas, the other in Southeast Asia. The view that JCV, with its peculiar feature of a dual early emergence from Africa, can provide new information about the evolutionary history of our ancestors is discussed.

The presence of distinctive types of JC virus (JCV) in the main ethnic groups suggests a close coevolution with the human host. However, phylogenetic trees of JCV show a basal clade of European lineages (Types 1/4), whereas trees of human genes are coherent in placing the first split between African and non-African populations. This discrepancy places into question the effectiveness of JCV as a marker of human population history. The present study investigates the evolution of JCV using a large set of fully sequenced strains. Their relationships are first elucidated by principal coordinates analysis. It is suggested that Type 6 from West Africa could represent the ancestral type, while the peculiar phylogeny of Types 1/4 could reflect their direct origin from the ancestral lineage. Further credit to the African origin of JCV is provided by a neighbor-joining analysis based on slow-evolving sites. Sequence analysis of fast-evolving sites reveals that the deep emergence of Types 1/4 in the tree does not reflect a real evolutionary divergence; rather it is the implicit result of a remarkably different G + C content. The hypothesis that Types 1/4 originated directly from Type 6 is confirmed by examining the pattern of variation at a few specific fast-evolving sites. On the basis of this approach, a twofold exit of JCV from Africa is hypothesized: one in the direction of the Eurasian continent and another limited to Europe. These findings suggest that two distinct migrations of individuals played a key role in the peopling of Europe during prehistoric times.